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Biohythane, the promising gaseous biofuel, can be produced by the recirculated two-phase anaerobic digestion (R-TPAD). The effect of hydraulic retention time (HRT) as 30, 20 and 10 days on biohythane production via R-TPAD (recirculation ratio = 0.4) was investigated with co-digestion of food waste and paper waste. The results showed that HRTs of 30 and 20 days maintained stable performance for R-TPAD but HRT of 10 days led to the final decrease in biogas production. The failure in the end was attributed to the wash-out of microbes. The removal efficiencies for COD and carbohydrates were decreased by short HRTs while for VS it remained relatively stable at about 75.7 ± 4.0%. All through the operation, acidogenic phase and methanogenic phase were separated stably and butyrate pathway was the dominant pathway for hydrogen fermentation in the first stage. The microbial community in the first stage reached the highest diversity when total HRT was 20 days, where the hydrogen production rate was the highest. The genera Lactobacillus and Caproiciproducens kept dominating the dark fermentation in the acidogenic phase, and Ruminococcus and Methanosarcina were decreasing in the methanogenic phase. The biohythane yields were 411 mL/g-VS fed , 332 mL/g-VS fed and 253 mL/g-VS fed , respectively, where the H 2 contents were 18.4%, 14.7% and 8.8%, respectively. [Display omitted] • The R-TPAD system (R = 0.4) was operated for biohythane production. • R-TPAD operated under HRTs of 30 and 20 maintained stable performance. • Organic removals and biohythane yields were lowered by short HRTs. • Different microbial communities were identified by co-occurrence network. • Biohythane yields affected by different parameters were discussed. [ABSTRACT FROM AUTHOR]

Collection, as the first stage of the recycling process, and pre-processing to increase waste stream purity constitute key operations for achieving high recycling rates and a closed loop in the circular economy. For wastepaper recycling in Hong Kong, it is the semi-formal-informal recycling (SFIR) sector that plays a central role in both stages. This study analyses the so far little explored SFIR stakeholder network in Hong Kong and sheds light on value chains, recovered waste paper quantities and the impact of policies on the sector. The findings show that SFIR stakeholders reclaim 55.6 t/recycling station/month of wastepaper and thereby achieve about a 5.7 times higher reclaim rate than the formal-private recycling system. Critical to this achievement is the SFIR transaction network, which enables its stakeholders to develop a value chain and thereby generate an added value of around 1900 HKD (243.9 USD/t) for wastepaper. Given limited circular structures in Hong Kong, financial subsidies are critical to sustain the SFIR's operations over the short-term. However, over the long-term legalization and integration of its stakeholders are necessary to ensure an economically and socially sustainable wastepaper recovery system in Hong Kong. [Display omitted] • Qualitative & quantitative analysis of the semi-formal-informal recycling (SFIR) sector. • The SFIR's wastepaper value chain achieves a cumulative added value of 1900 HKD/t. • The SFIR recovered 5.7 times higher capacities than the formal system in 2021. • Financial support can enhance the SFIR sector's recovery capacities. [ABSTRACT FROM AUTHOR]

In this paper we investigate the market size of all materials and products presently produced from (organic) carbon and we present a method to estimate the intrinsic recycling potential of these materials/chemicals as a function of their respective applications. The method is based on the expert assessment of a number of variables that are important within the different application categories and markets of the carbon-based materials/chemicals. Applying the method, the paper presents the recycling potential of all carbon-based products. Following, an estimation of the amount of new products that can be produced each year through recycling of discarded products is presented and the amount of carbon that needs to come from other sustainable sources to fulfil our demand for new products is calculated. We distinguish nine different categories of (organic) carbon-based materials/chemicals: plastics, textile fibres, thermoset resins, rubbers, surfactants, solvents, fine chemicals, paper/board and wood products. Within these nine categories the most important materials/chemicals types were taken into account. Fossil-based and bio-based materials/chemicals were assessed separately. For each of the materials/chemicals types, the market size in terms of mass (Mt) was calculated for the main applications in which they are applied. Next, for all materials/chemicals types in these applications, the maximum recycling potential, in case mechanical or physical recycling methods are applied, was assessed, using an expert panel. Also, inevitable leakage of materials/chemicals in the different applications was assessed. Finally, the amount of feedstock coming from recycling streams that may be made available for chemical recycling or carbon capture and utilisation technologies was derived. From this, the magnitude of carbon-based materials/chemicals that need to be replaced each year by other renewable feedstock than recycled content in terms of Mton carbon was calculated. The analysis is relevant in view of implementation of a circular economy and reuse and recycling of materials, to combat depletion of raw materials. Next, it is relevant in view of phasing out fossil-feedstock to combat climate change. Our analysis indicates that the recycling potential of carbon-based materials and products through mechanical or physical methods lies around 50%, even in a system that is fully optimised for recycling. Chemical recycling and carbon capture and utilisation may provide another 25% of the renewable-carbon feedstock needed, but they generally require far more energy and other inputs to produce new materials and chemicals than the mechanical and physical recycling methods. The remaining demand for renewable-carbon feedstock thus needs to come from either biomass or CO 2 through carbon capture and utilisation technologies. Based on our findings, we argue that the composition of our present carbon-based products pool needs to be redesigned on a fundamental molecular level, towards material types that contain more oxygen. Carbon-based materials that contain more oxygen generally can be recycled more efficiently, and are also easier to produce from the alternative feedstocks biomass and CO 2 through CCU. [ABSTRACT FROM AUTHOR]

Water removal during paper manufacturing is of primary importance to production rate and cost efficiency for the pulp and paper industry. It is crucial to develop methods to reduce energy consumption by increasing the percent solids in the paper web entering the dryers from the presses. This research aimed to develop a fundamental understanding of the effect of bio-chemo-mechanical pretreatments on a bleached softwood fiber matrix and evaluate the impact on the percent solids of the paper web after pressing. Experiments included enzymatic, refining, and cationic polymer pretreatments on the bleached softwood pulps, followed by laboratory papermaking and determining the equilibrium moisture content (EMC) after pressing and the pulp and paper properties. The combined effect of mild refining, controlled enzymatic pretreatments, and cationic strength aids proved to enhance the water removal during wet pressing (up to 35 % reduction) and increase paper strength (up to 60 % increase). The results of increased solids after pressing were used to calculate the potential reduction in drying energy during paper manufacturing. Energy savings of around 10 % for paper drying could be achieved through fiber matrix modification by bio-chemo-mechanical pretreatment. Enzymatic pretreatments have previously been conventionally applied before refining as an energy-saving method. However, this research shows that synergistic actions of enzymes added after refining modify the fibers and create the optimal conditions for enhancement in drainage, press dewatering, and paper properties. [Display omitted] • Enzyme-assisted fiber modifications improve press dewatering and paper strength. • Enzyme blends can enhance fiber cell wall flexibility and fibrillation. • Synergistically, enzymes increased ∼35% press dewatering and ∼60% tensile strength. • Enzymes, mild refining, and cationic biopolymers enhance paper process efficiency. • This research introduces alternative methods for decarbonizing the paper industry. [ABSTRACT FROM AUTHOR]

Upcycling agroindustry residues into new valuable products is a strategy for mitigating environmental impacts while increasing material circularity. In this study, two sizes of eggshell particles (D 90 = 7.1 μm (ESAJ) and D 90 = 16.3 μm (ESBU)) were obtained and their incorporation as fillers into biodegradable pectin/starch film was evaluated. The effect of the presence of eggshell particles (2–8 w/w%) on the structural and morphological aspects, water barrier, and mechanical, optical, and thermal properties of the biocomposites was evaluated and then the reinforced film was applied on the surface of kraft paper. The release of calcium in an acidic solution was inverse to the size and concentration of particles and the released íon may contribute to the crosslinking of pectin. The incorporation of only 2 % eggshell resulted in 42% lower solubility of the film. The eggshell-reinforced films proved to be more opaque and rigid. The addition of 6% ESAJ significantly improved the tensile strength (an increase of 32%), modulus of elasticity (an increase of 29.7%), and water vapor barrier (59% of improvement). DSC analysis suggests that the calcium from the eggshell interacts with the pectin polymeric structure, reducing the sites available for water molecules, which may have caused more mobility of the chains through the matrix. The reinforced pectin/starch film was very well adhered to the kraft paper in the application test by continuous casting, but the coated paper showed no improvement in oil and water resistance, which means that other coating processes need to be explored. • Eggshell was used as a reinforcing filler material in pectin/starch film. • Eggshell particles were well adhered to the matrix. • The eggshell powder had improved the water resistance of the pectin/starch film. • The addition of 6% eggshell had increased the film's tensile strength in 32%. [ABSTRACT FROM AUTHOR]

Under carbon cap-and-trade regulation, to control carbon emissions and improve the recycling efficiency of waste electrical and electronic equipment (WEEE) from the traditional offline recycling channel, more enterprises attempt to simultaneously combine the online recycling platform with the digital transformation of the supply chain. Based on a closed-loop supply chain (CLSC) with dual recycling channels and considering recycling advertising invested both in offline and online recycling channels, this paper attempts to explore the optimal recycling advertising mode which can both achieve economic and environmental performance under cap-and-trade regulation. Therefore, game models including a manufacturer and above either recycler are established, which are respectively correspond to four recycling advertising modes: manufacturer cooperates with neither recycler (MO mode), manufacturer only cooperates with the offline retailer (MR mode), manufacturer only cooperates with the online recycling platform (MT mode), and manufacturer cooperates with either recycler (MRT mode). Consequently, this paper solves the optimal decisions of the tripartite and focuses on the analysis of the impact of cooperative (competitive) recycling advertising under cap-and-trade regulation. By comparing the profits and total carbon emissions of the whole CLSC under four recycling advertising modes, the results indicate that: cooperative advertising between the manufacturer and two recyclers can achieve economic and environmental performance for the whole CLSC if the free-riding phenomenon occurs in recycling advertising. Otherwise, influenced by competitive recycling advertising, the above mode turns to the suboptimal one for the profits of two recyclers and the total carbon emissions of the CLSC. Moreover, driven by economic benefits, cooperative advertising will eventually become a consensus, but the total carbon emissions may not always be the least. [ABSTRACT FROM AUTHOR]

The production of CaO for lime-based plaster and render generates 1.2 t CO 2 /t CaO, consumes 1.78 t CaCO 3 /t CaO. This research paper examines the environmental and economic performance of upcycling paper mill sludge (PMS) and carbide lime (CL) as replacements for hydrated lime (HL) in lime-based plasters production. For this, a new Cradle-to-Gate industrial-scale inventory is designed, upscaling recent lab-scale innovations, investigating PMS and CL treatment processes, followed by a Cradle-to-Grave scenario analysis. The results show that incorporating CL in the plaster yields better environmental and economic outcomes compared to PMS. The intermediate treatment for CL is cost-effective and has low carbon emissions. The upcycling of CL eliminates 100% of CO 2 emissions, while PMS reduces emissions by 11%. The production of the traditional binder HL is more expensive than upcycling PMS (+69%) and CL (+65%), with carbon taxes accounting for 35%, 44% and 15% of production costs, respectively. The effect of an equilibrated carbon price to ensure fair market competition, considering the natural carbonation of lime (carbon credit) is discussed, and the cost assessment reveals a 47% and 54% reduction for upcycled plasters using PMS and CL, respectively, compared to traditional HL. [Display omitted] • Availability, properties, and treatments of secondary lime resources. • Industrial-scale inventory for upcycling carbide lime (CL) & paper sludge (PS). • Cradle-to-Grave assessment: CL reduces CO 2 most, trailed by PS and hydrated lime. • Key factors for Cradle-to-Grave impact: lime kiln heat consumption (PS) and drying operation (CL). • Cost analysis of carbon taxes and credits across the material's life-cycle. [ABSTRACT FROM AUTHOR]

The Ecological Footprint (EF) model is an effective tool for determining the resource consumption demand of human activities and whether natural assets are overutilized. The EF calculation method has certain theoretical and methodological importance for low-carbon campus construction. With the development of science and technology, some parameters in traditional EF calculation methods need to be modified. Based on the definition of fossil energy land and the latest average grain yield, this paper revised the calculation parameters of the EF method in six aspects: absorbed gas, electricity, agricultural products, aquatic products, livestock products, and paper. This paper applied the calculation method before and after improvement to Henan Polytechnic University. The EF of the campus according to calculations was 28,358.41 gha, and the per capita EF was 0.657 gha/person using the improved calculation method. Compared with the unimproved method, the improved method resulted in a substantial decrease in EFs, which can be explained by three reasons. First, the fossil energy land was divided into forestland and pasture land. Second, the average yield was recalculated using the latest statistical database of the United Nations Food and Agriculture Organization. Finally, the utilization of waste pulp in the paper industry was considered. The calculated results were also analyzed and compared with those of other universities, Worldwide Fund for Nature and Enhancing Universities'Sustainability Teaching and Practices through Ecological Footprint. The improved calculation results can better reflect the actual situation of the campus, improve the rationality of EF calculation, and provide a reference for EF at the campus level. Accordingly, the current situation of campus resource consumption can be explained, further providing a basis for proposing an EF reduction scheme for green campus construction. [Display omitted] • Some parameters have been modified in the improved ecological footprint calculation method. • The fossil energy land was divided into forestland and pasture land in the improved calculation method. • The latest average grain yield used in the improved calculation method. • The calculated results were analyzed and compared with those of WWF and EUSTEPs. [ABSTRACT FROM AUTHOR]

Modular construction and operation significantly impact building lifecycle management, with various stakeholders playing key roles. Digital twin technology emerges as a cutting-edge tool for information exchange, management, and forecasting in the construction sector, offering comprehensive services for diverse stakeholders. However, research primarily explores potential applications and practical solutions, with limited focus on application strategies considering all stakeholders' interests. This gap hinders the transition of digital twin technology from theoretical to practical use. Addressing this, the paper employs game theory to develop models that analyze key stakeholder decisions during the modular construction and operational phases. It creatively introduces mathematical models for complex conditions in the operation phase and conducts numerical simulations. Findings show that the diffusion rate of digital twin technology significantly affects decision-making by main stakeholders in the construction industries in two stages. The diffusion rate in other industries influences the decision of facility management contractors from different backgrounds, yet its implementation ultimately depends on their status and profitability during the operation process. These diffusion rates are influenced by various factors like government subsidies, development costs, and revenues. To enhance the application rate of digital twin technology, the paper suggests initiating pilot projects, creating project pools, expanding industry-university-research collaborations, and implementing subsidies and incentive programs. • We utilized game theory to analyze the decisions during the modular construction and operation phases • Mathematical models were developed under complex conditions to facilitate numerical simulations of modular construction and operation • We found that the diffusion rate of digital twin technology could impact owners' decisions • Measures were proposed to enhance the application rate of the digital twin technology [ABSTRACT FROM AUTHOR]

The report of the 20th National Congress of the Communist Party of China (CPC) proposes to accelerate the development of the digital economy and promote "carbon neutrality". In 2020, China announced a "double carbon" target. In 2022, the size of China's digital economy has reached 7.5 trillion dollars, ranking second in the world. Against this background, this paper takes 211 cities in China from 2011 to 2019 as the research object and tries to sort out the impact of the development of the digital economy on the carbon efficiency of cities in order to find an effective path for cities to realize low-carbon development. The results of the study show that the development of the digital economy significantly improves the carbon efficiency level of Chinese cities. After a series of endogeneity and robustness tests, the conclusion still holds. Public environmental concern and technological innovation are the key mediating paths. In addition, the digital economy has a significant non-linear effect on the carbon efficiency of Chinese cities. On the one hand, the low-carbon effect of the digital economy is only realized when the level of digital economy development is lower than the critical value of 0.040 and higher than the critical value of 0.085; on the other hand, the lower the level of urban carbon efficiency is, the greater the effect of the digital economy on urban carbon efficiency. Further research shows that the digital economy has a significant spatial spillover effect on the improvement of urban carbon efficiency, and the development of the digital economy not only helps to improve the carbon efficiency level of the local city but also positively influences the improvement of the carbon efficiency of neighboring cities through the spatial spillover effect. The heterogeneity study found that in eastern cities and megacities, the digital economy has a more obvious effect on the improvement of carbon efficiency. In the context of the booming digital economy, this paper tries to find an effective new path for urban low-carbon development by means of developing the digital economy. [ABSTRACT FROM AUTHOR]

Buildings have significantly contributed to high energy demand (30.3%) and GHG emissions (26.1%) worldwide. Consequently, many developed countries have set carbon-neutral targets for 2050, mandating that all new constructions thereafter be designed as net-zero emission buildings (NZEBs). To achieve this goal, one of the most practical sources of renewable energy, solar power, is employed in this study to estimate the economic feasibility of implementing NZEBs in the non-residential sector of the United States. While past studies have typically estimated the economic payback period of solar power technology by assuming fixed values for "PV energy conversion rates (%)" and "investment costs ($USD)", this paper carefully investigated the economic feasibility of "solar-based NZEBs" by precisely tracking these dynamic future changes in PV panels. These techno-economic variables were carefully predicted using a statistical technique known as the five-parameter logistic (5 PL) function. The results show that Site 4 is the only solar region suitable for implementing "PV-integrated NZEBs", reaching a payback period of 8.44 years in 2040 (Scenario 1). Furthermore, with small technological improvements in PV energy efficiency (%), buildings located in Site 3 and Site 4 can meet the net-zero emission target with payback periods of less than 10 years in 2034 (Scenario 2). Finally, starting in 2044, the "PV-integrated system" will have a payback period of approximately 7 years in most study locations, even without federal support for the solar investment tax credit (SITC). Accordingly, federal support for solar power generation will be more effective if the SITC rate is gradually reduced by 2.5% annually starting in 2033. In conclusion, this paper suggests the economic feasibility of implementing solar-based NZEBs in the United States non-residential sector by considering the synergetic effect of technological improvement and cost reduction in PV-integrated systems. • This study predicted the cost and efficiency of PV panels to estimate the economic feasibility of solar-based NZEBs. • The cost reduction and technical advancement in PV panels can remarkably improve the economics of solar power. • The 5 PL function is systematically modeled to predict the total investment cost and efficiency of PV panels. • In most study locations, solar-based NZEBs are projected to achieve a 7-year payback period beginning in 2044. • The federal support for the SITC rate (%) is recommended to be gradually lowered starting in 2033. [ABSTRACT FROM AUTHOR]

To enhance regional collaborative management and effectively address air pollution, this paper constructs the industrial air pollution network of 168 cities in China between 2010 and 2021. Social network analysis (SNA) and temporal exponential random graph model (TERGM) are used to investigate the structural characteristics and driving mechanisms of industrial air pollution spatial correlation networks. The results indicate the following: (1) Industrial air pollution levels in key Chinese cities showed a slight fluctuation between 2010 and 2015, but decreased after 2015. (2) The industrial air pollution linkage network exhibits small-world characteristics and path dependence, with different cities playing distinct roles in the network. (3) The evolution of the network is influenced by both exogenous and endogenous mechanisms. Local network structures such as reciprocity, connectivity, and transitivity make the network exhibit path-dependent characteristics. Cities' attributes such as economic development level, green innovation capacity, and population density significantly influenced their status in the network and linkages between cities. Pollution linkages are more likely to occur in cities with similar levels of economic development, green technological innovation capacity, and institutional environments. Therefore, effective regional division for scientific collaborative governance should be considered from multiple perspectives. Based on these results, the paper provides several policy recommendations. [ABSTRACT FROM AUTHOR]

Recycling in apartments has been problematised around the world, as this housing typology is associated with relatively low resource recovery rates. Rather that assuming that occupant behaviours are the key concern, this paper starts with the observation that apartments are sites of unevenly distributed spatialities and responsibilities. They co-shape material and infrastructural affordances and call upon diverse knowledge of waste management in collective and shared arrangements. This paper analyses data from an in-depth qualitative study involving apartment waste and apartment households in Melbourne, Australia. It shows that boundaries and boundary objects help define waste and its relationships, mutually shaping and being shaped by material flows and reconfiguring responsibilities. The co-production of these boundaries and boundary objects is correlated to mechanisms of governance, regulations, assumptions associated with verticality/shared living, and seasonality. In the context of post-consumer waste recovery policy ambitions, the paper illustrates how a) shifting boundaries to redistribute responsibility b) engaging with somatic work to bridge boundaries that challenge material flows, and c) harnessing boundaries that nurture and normalize sustainable waste practices, can be potential sites of intervention. As a theoretical contribution, it draws upon boundary work and social practices as a novel way to inform interventions to promote sustainability. • Boundaries define waste and its relationships, mutually shaping material flows. • Boundaries are produced through social practices. • Co-production of boundaries relates to governance and assumptions about apartments. • Harnessing boundaries that normalize sustainable waste practices is required. [ABSTRACT FROM AUTHOR]

Industry is nowadays one of the most energy-demanding sectors representing a major contributor of global greenhouse gas emissions. The simultaneous need for electricity and high-temperature heat is what makes some industrial processes difficult to decarbonize via current commercially available technologies. As the demand for materials and goods is expected to grow in the upcoming years, it is crucial to define which strategies and technologies will serve as the cornerstone of sustainable development. This study addresses the imperative need for emission reduction of energy-intensive sectors by proposing a novel hydrogen-based cogeneration system in the framework of the paper and pulp industry, with the aim of providing general insights relevant to a broader spectrum of similar applications. The comparative analysis presented in this work focuses on three cogeneration options aimed at satisfying the paper mill energy needs: a conventional natural gas-fuelled gas turbine, a Solid Oxide Fuel Cell (SOFC) fed with grey hydrogen produced via steam methane reforming, and a SOFC operating using green hydrogen produced on-site. The latter involves an integrated multi-energy system with photovoltaic panels, electrolyzers, compressors, and storage tanks. Indeed, the SOFC potential of supplying electricity and high-temperature heat in the form of pressurized steam for industrial applications has not been well investigated yet and represents one of the main objectives of this work. Building on the real consumption profiles of a paper mill facility, techno-economic analyses are carried out for many system configurations, varying components size and layout to assess their performance with respect to CO 2 emissions and two key economic parameters, the Levelized Cost of Hydrogen (LCOH) and the net present cost. An in-house-developed flexible simulation framework is presented and expanded for the purposes of this study, including a detailed model that accounts for design and off-design performance of a SOFC cogeneration unit. Results demonstrate that integrating a SOFC with a heat recovery steam generator result in a 75% reduction in the mass flow of generable pressurized steam in comparison to a gas turbine. Additionally, in the cost-optimal scenario, CO 2 emissions are 25% lower than the conventional gas turbine-based configuration, achieving complete independence from the electricity grid and an LCOH of 5.81€/kg without considering revenues from electricity sold. [Display omitted] • Green H 2 production, compression, storage and use in energy-intensive industries. • Solid oxide fuel cell modelling and validation for heat and power generation. • Comparison of gas turbine and solid oxide fuel cell cogeneration performance. • Optimal LCOH of 5.81 €/kg is identified for a PV-to-electrolyzer ratio of 2. • Sensitivity analysis on natural gas purchase price and electricity selling price. [ABSTRACT FROM AUTHOR]

An increasing number of electric vehicle batteries will reach the end of their life cycle with the fast growth of electric vehicles. Since the recycling of retired electric vehicles batteries is of great significance in the light of resource utilization, ecological protection, energy saving and economic benefits, the proper management of electric vehicle battery recycling (EVBR) is crucial for achieving sustainable development. However, due to the involvement of multiple stakeholders, there are many potential barriers in the process of EVBR, and analyzing these barriers can significantly help the recycling management of waste electric vehicle batteries towards a circular economy. Although the literature has focused on analyzing obstacles to implementing reverse logistics for electric vehicle lithium battery recycling from a manufacturer's perspective, less attention has been paid to analyzing barriers to EVBR from a multi-stakeholder perspective. This paper thus aims to investigate the barriers to EVBR from a multi-stakeholder point of view, identify the main barriers affecting battery recycling, and analyze the interrelationships and hierarchies between these barriers. Based on expert opinions and literature reviews, this paper identifies twenty major barriers to EVBR and uses interpretive structural modelling (ISM) method to determine the interrelationships and hierarchies between the barriers, and finally classifies the barriers to EVBR into a seven-level structural model. Furthermore, matriced impacts corises-multiplcation appliance classement (MICMAC) analysis is applied to categorize the identified barriers to EVBR, and the twenty barriers are finally classified into three categories, namely dependent barriers, linkage barriers, and driver barriers. This paper discusses theoretical insights, managerial and practical implications, and measures to overcome EVBR barriers based on the results, which show that the lack of more appropriate incentives is a major barrier to EVBR implementation. This paper provides a solid theoretical foundation for the further development of battery recycling policies, and will also help relevant stakeholders and governments to better understand these barriers and adopt effective approaches to address them. [Display omitted] • This paper studies the barriers to electric vehicle battery recycling. • A hierarchy of potential electric vehicle battery recycling barriers is identified. • Measures to overcome the barriers to electric vehicle battery recycling are given. • Several key theoretical implications and managerial insights are provided. [ABSTRACT FROM AUTHOR]

Harmonizing the cleanliness and economics of energy is an effective means of integrating economic growth with carbon peaking goals, and realizing sustainable development in China. However, due to the existence of the energy trilemma, a worthwhile research question is how to fulfill the carbon peaking commitment while guaranteeing China's stable national development. Based on this, this paper not only discusses the nonlinear relationship between clean energy consumption transition and economic growth through threshold regression, but also simulates several scenarios of energy transition dynamics with different growth rates by using Oracle Crystal Ball software to forecast the future trend of China's carbon emissions up to 2030, aiming to find a transition scenario that can make the peak of carbon emissions appear without significant economic burden, so as to put forward countermeasures and suggestions to avoid falling into the energy trilemma in the process of fulfilling the commitment of carbon peaking. This paper finds that: firstly, there is an inverted U-shaped non-linear relationship between clean energy consumption transition and economic growth, with the inflection point of the inverted U-shape being 0.595; and secondly, only when energy transition exceeds 0.535 in 2030, the peak of carbon emissions (about 12,922.28 Mt) will occur. In summary, this paper argues that China should steadily advance energy transition, avoiding either too fast or too slow a pace (bring clean energy consumption transition to within the 0.535–0.595 range by 2030), in order to secure economic growth while honoring its commitment to peak carbon. Therefore, China should prudently design a coal exit strategy to avoid falling into the energy trilemma when promoting energy transition. Moreover, if China wants to further fulfill its commitment to carbon neutrality by 2060, it needs to continue to deepen the construction of green financial markets in order to better balance the relationship between energy cleanliness and economy. [ABSTRACT FROM AUTHOR]

Within sustainability controversies, actors face trade-offs where they prioritize either economic, social or environmental concerns. However, there is little research engaging with how actors mobilize discourses in sustainability controversies. This research seeks to extend this body of literature by adopting a discursive lens in which we examine how different actors mobilize different discourses to argue for their respective conceptions of sustainable development and their trade-offs. By adopting a longitudinal instrumental single-case study design, this research examines the ongoing controversy in Quebec over the development of new mining projects for the extraction of transition minerals. This study offers several contributions to the sustainability trade-offs literature. First, it sheds light on the dynamic nature of discursive strategies within sustainability controversies. Second, the paper broadens understanding of the use of moralization discursive strategies in sustainability trade-offs. Third, it identifies the new neutralization strategy in sustainability controversies. The paper also suggests several practical implications for the actors involved in sustainability controversies. [ABSTRACT FROM AUTHOR]

To effectively mitigate climate change, policymakers worldwide established various GHG tracking and trading systems. In the light of ambitious climate goals, stricter regulations, and increasing demand for climate action, various groups such as researchers and governmental institutions suggested additional approaches. This paper addresses the complexity that arises from the breadth of suggested approaches and implemented systems for GHG tracking and trading. By doing so, it synthesizes relevant dimensions in a way that is understandable to enterprises and policymakers, enabling them to design meaningful systems incorporating the reduction of GHG emissions and advance cleaner production. Therefore, this paper presents a first-of-its-kind taxonomy of GHG tracking and trading approaches through a systematic literature review. It illustrates ten main design and implementation dimensions with 30 corresponding characteristics. To accelerate decarbonization, this paper sets impulses for future GHG tracking in the electricity sector based on semi-structured expert interviews. Consecutively, it provides policy directions for CO 2 -adaptive decision-making for enterprises, formulated as a Call for Action with seven prospective questions. These include, for example, questions concerning technical aspects like data management, legal issues like the sufficiency of existing data security and privacy regulations, as well as economic topics like the calculation of an appropriate local and temporal granularity. • Presenting a first-of-its-kind taxonomy of GHG tracking and trading approaches through a systematic literature review. • Creating targeted knowledge for enterprises and policymakers for designing meaningful systems to reduce GHG emissions. • Setting impulses for future GHG tracking in the electricity sector based on semi-structured expert interviews. • Providing policy directions for CO 2 -adaptive decision-making for enterprises, formulated as a Call for Action. [ABSTRACT FROM AUTHOR]

Climate emergency is widely acknowledged. However, our institutions are struggling to find new intervention types to accelerate the transition. This paper analyses this struggle by combining agency theories and discursive approaches to study transition intermediaries, i.e, organizations seeking to foster the transition activities of others. The internal meaning structures of intermediaries are described as interlocking shared action frames, i.e., beliefs and meanings underpining their activities. These frames are characterized through the definition of pairs of contrasting frame elements along eleven framing dimensions. This conceptualization allows for a semi-quantitative mapping of internal structures. The method is developped and illustrated with the in-depth case study of a Swiss regional utility department running an energy efficiency programme. Analysing a series of exploratory workshops, we find that established frames revolve around technology-oriented, managerial approaches to the transition, ultimately narrowing the range of imaginable interventions. While these are well-studied shortcomings of energy efficiency centred approaches, further observations suggest that these frames underpin the perception of intervention impacts, helping keep staff and recipients involved. To strike a balance between energy saving targets and transformative ambitions, this paper suggests revising programme evaluation logics and reframing technological solutions as responses, rather than substitutes, to practice changes. [Display omitted] • A discursive approach is used to explore the agency of transition intermediaries. • Internal meaning structures are described as interlocking shared agency frames. • A utility department running an energy efficiency programme is taken as case study. • An established perspective revolves around technical, managerial approaches. • Emergent perspectives tend to be linked this coherent established perspective. [ABSTRACT FROM AUTHOR]

The swift urbanization and ensuing challenges in global cities require a transition towards "intelligent" urban management. This change is motivated by the necessity to enrich the quality of life, tackling crucial issues such as transportation. How can municipal authorities effectively utilize smart city principles and technologies to enhance efficiency and sustainability in urban living? This query plays a vital role in steering urban policies and city governance towards a more sustainable and intelligent future. The paper suggests a survey-based research perspective unprecedented on "disruptive" transportation, offering a longitudinal examination (2010–2023) of cross-national comparison (ITA-UK) using a relatively large sample (No. 450 total) and divided into No.150 –UK 2023, No.150 –ITA 2023, and No. 150 Italy 2010 respectively. The sample base considers the two Capitals (London and Rome) for diversity, population size, and ongoing projects related to "smart" urban developed. Intending to offer a valuable analytical tool for policymakers, scholars, managers, and professionals, the paper primarily explores the evolutionary progression of sustainability concepts inherent in the smart city paradigm and their fusion with transportation; after the cross-national comparison is essential for highlighting mindset disparities that influence future planning endeavors for future urban transportation sector. The key findings revolve around cultural, ideological, ownership disparities and individualistic tendencies that contribute to a resistance to change. The empirical analysis demonstrates an advancement for Italy compared to previous years, but still cautious particularly concerning the adoption of shared mobility alternatives, which also presents a viable solution for increasing the adoption of electric vehicles. [ABSTRACT FROM AUTHOR]

The early detection of fuel leaks in filling stations is crucial to minimize environmental risks, such as soil and groundwater contamination. There are some commercial products for fuel leakage detection based on statistical analysis of data from station inventory books. Although they solve the tackled problem, they have some important drawbacks, such as their high price, and issues related to the privacy of station data, which must be shared with the company owning the reconciliation technology. In this work, a solution based on Artificial Intelligence is proposed to address this problem. Machine Learning techniques, specifically two-class supervised classifiers, are applied to data extracted from inventory books of real petrol stations. The classification models used in this paper are trained and tested with real data of days without leaks and simulated data of days with leaks. Thus, the more representative of reality these data are, the better the classifiers will work when implemented in a real filling station. In this sense, the most novel contribution of this paper is the way in which the training sets are constructed to achieve a realistic scenario. These sets are composed of time data windows in which the leak can begin on any day within the window, not necessarily on the first day, as the authors had assumed in a previous contribution. Therefore, they are mixed windows containing a variable number of non-leaking and leaking days. In addition, the design of these data sets complies with the requirements of the current European standard UNE-EN 13160–5. This allows the classifiers to work under even more realistic conditions and thus increase the practical applicability of their results. This work demonstrates that by using two-class classifiers it is possible not only to comply with the standard in terms of the maximum allowable ratio of false positives and false negatives, but also to detect the leak in a shorter time than that established in the norm. [Display omitted] • The detection of fuel leaks in petrol stations is approached as a classification problem. • In order to study compliance with current regulations it is essential to work in a scenario that is as realistic as possible. • Mixed time windows improve the reliability of the results regarding fuel leaks detection. • The proposed solution allows to accomplish the efficiency requirements of current regulations. [ABSTRACT FROM AUTHOR]

The use of production by-products as feedstock offers benefits in terms of circularity, waste reduction, and enhanced local value-add. In this paper, we examine the institutional and supply network collaborations required to shift from global to near-sourcing using by-products of previously unrelated production activities. The case study of straw stubble agri-waste is examined as it exhibits multiple product-process valorisation opportunities, generates social welfare gains for farmers, and addresses a critical societal need of reducing pollution. Drawing on circular economy and supply network configuration literature, the research involved the consideration of local resource availability, product-production process technology options, partnering arrangements, and network governance. The results reveal multiple feedstock product-process conversion scenarios, each representing potential intermediate and end-use products/markets. Two pathways were identified offering industrial-scale valorisation, namely straw-stubble as a feedstock for i) building products and ii) energy purposes. Circular supply network design parameters emerge from cross-case analysis suggesting alignment across feedstock network structure, product-processing pathways, and the configuration of public-private partnerships is necessary. This paper develops supply network configuration design approaches and related partnering models by providing a structured framework for identifying commerically viable by-product driven supply networks that leverage the proximity of non-traditional suppliers exploiting local resources. This research contributes to the design of circular supply networks and partnership configurations for the valorisation of by-products. [ABSTRACT FROM AUTHOR]

Recently, the widespread adoption of artificial intelligence, particularly generative AI technology, has surged across various industries. However, a notable drawback of this technology is its significant energy consumption during model training and operation, which poses challenges to sustainability goals and the environment. Consequently, various initiatives have emerged to promote what is termed "green artificial intelligence," aiming to mitigate these environmental impacts. Nevertheless, research discussing these initiatives remains scarce. Hence, this study aims to identify green artificial intelligence initiatives that contribute to environmental friendliness. This paper has comprehensively reviewed the existing literature, professional websites, and expert blogs to identify and analyze available green AI initiatives. This paper has identified 55 such initiatives, broadly categorized into six themes: cloud optimization, model efficiency, carbon footprinting, sustainability-focused AI development, open-source initiatives, and green AI research and community. This study discusses the strengths and limitations of each initiative to offer a comprehensive overview. The findings provide valuable insights, particularly for industries interested in green artificial intelligence and green technology in general. While some tools have been recognized and studied, comprehensive research and analysis are still required to empirically evaluate the majority of other tools due to their early stages of development in this field. • Study explores the growing awareness and concern about environmental impact of AI. • It investigates development of tools and approaches to address Green AI. • Significance of collaboration, open-source initiatives, in Green AI development. • Examine importance of ethical considerations in green AI development. • Provide insights for industries in green AI and green technology in general. [ABSTRACT FROM AUTHOR]

Graphene transparent electrode (GTE) has been attracting much attention due to fascinating physical properties. However, the extensive deployment of copper foil within GTE production has imparted substantial environmental burden. This paper is a cradle-to-gate life cycle assessment (LCA) study to investigate the environmental impacts of roll-to-roll produced chemical vapor deposition (CVD) GTE and the environmental potential of recycling copper foil for cleaner production. Four production scenarios are developed to promote the lab-to-fab progress, including lab scenario, industry baseline scenario, industry recycling scenario and microwave plasma chemical CVD scenario. The functional unit is set as 1 m2 of the GTE production and the life cycle inventories of different scenarios are explored. Results show that the copper foil is a major contributor in baseline scenario in the category of primary energy consumption and global warming. The impacts of GTE production in industry recycling scenario vary from 0.01 to 0.18 of the values in industry baseline scenario. Therefore, copper foil recycling shows environmental potential for GTE production. If all building integrated photovoltaics transition to employing perovskite solar cells with GTE produced in copper recycling scenario, the potential reduction in CO 2 emissions is estimated at 141.2 million kilograms per year. The findings serve as a roadmap for the industry, highlighting key areas where improvements can be made to upscale production while minimizing environmental impact. This paper provides insights into the major environmental contributors in the GTE production, guiding the upscaling routes for cleaner GTE production in the future. [ABSTRACT FROM AUTHOR]

Ion adsorption rare earths resource has gained significance as a crucial worldwide strategic metal resource because of its high concentration of heavy rare earth elements. Mining technology is continuously undergoing development and improvement in order to facilitate the extraction of rare earth elements more efficiently. The utilization of leaching agents like ammonium/magnesium/aluminum sulfate has significantly enhanced the production efficiency of rare earth elements compared to sodium chloride (barrel/pool leaching). New technologies, while beneficial, have the potential to increase land/water contamination and landslides through heap/in-situ leaching technologies. Therefore, researchers remain dedicated to the investigation and advancement of novel leaching agents that are devoid of ammonia, possess reduced ammonia content, or are organic in nature. This paper presents an in-depth examination of the mining technology for ion adsorption rare earths, with the goal of promoting its efficient and clean development. The composition of rare earth ore at different vertical depths, the evolution of mining technology in recent decades, and the inadequacies of existing technologies are reviewed. Critical remarks are being made regarding the ongoing research on novel mining technology for extracting ion adsorption rare earths. The leaching characteristics are discussed from the viewpoints of wettability, diffusive double electric layer theory, plate theory, and quantum mechanics. In the later half of the paper, bioleaching technologies with application possibility are discussed in detail. The content covers the basic features of the microorganisms used, the bioleaching mechanism, leaching characteristics, and strengthening measures. We hope that the work will be useful to other scholars and will help to advance technical progress. [Display omitted] • The composition characteristics of ion adsorption rare earths at different vertical depths are analyzed. • The mining technology status of ion adsorption rare earths is summarized. • Bioleaching mechanism and characteristics of ion adsorption rare earths is discussed. • Strengthening measures for bioleaching of ion adsorption rare earths are reviewed. • The possible breakthrough direction in the future is pointed out. [ABSTRACT FROM AUTHOR]

The study presents a novel integrated three-compartment electrochemical continuous electrodeionization reactor that was constructed in a laboratory environment. In order to extract large amounts of carbon dioxide from naturally occurring oceanwater in the form of bicarbonate and carbonate, it develops a innovative electrolytic cation exchange process. At the same time, it produces hydrogen gas for possible hydrocarbon synthesis. The study employs the Box-Behnken experimental design approach implemented through the Design Expert software to investigate and optimize the performance of electrochemical hydrogen extraction from Ocean water from an integrated reactor. The integrated electrochemical continuous-type electrodeionization reactor comprises two cation-permeable membranes that operate as boundaries between three compartments: a central compartment and electrode compartments that house the cathode and anode, each of which may reverse polarity. These membranes are made of gel polystyrene cross-linked with divinylbenzene, which has acidic properties that allow cation transport while inhibiting anions. The integrated reactor's electrode chambers are enclosed in plexiglass end plates and contain distinct Plexiglass electrode compartments. These compartments have mesh and solid steel anode and cathode electrodes, with an electrode active area of 176.71 cm2. The influence of various factors, such as voltage and electrolyte amount, on the production of hydrogen synthesis is examined. The study results demonstrate a maximum hydrogen production rate of 2.2 mg/min and a hydrogen production efficiency of 7.82%. The lab testing was carried out using experimental equipment to determine viability. The tests included 35-min runs that measured hydrogen generation under various parameters, such as applied voltage, electrolyte concentration, and pH levels. The ocean salt solutions of 0.5M, 1M, and 2M were initially prepared and evaluated for hydrogen generation. Each concentration is assessed at a voltage range of 4–15V, with matching solution pH values ranging from 2 to 7. Optimization studies were conducted to enhance the hydrogen production rate. The results indicate that hydrogen production rises proportionally with applied voltage and electrolyte concentration but falls with pH growth. Within the Design Expert software, the statistical methods for response surface analysis and optimization are utilized accordingly. • The paper develops an integrated three-compartment system for hydrogen production. • The paper investigates the system overall efficiencies for assessment. • It discusses how varying voltage and concentration affects hydrogen production. [ABSTRACT FROM AUTHOR]

This paper presents a day-ahead optimal EV demand management framework to reduce feeder peak demand while ensuring the benefits from energy arbitrage. Leveraging the demand flexibility of EV charging, when appropriately coordinated, holds promise for mitigating feeder demand stress. Existing literature lacks a comprehensive framework to facilitate active orchestration of EV demand flexibility for a hybrid scheme of peak load reduction and energy arbitrage due to limitations of existing pricing schemes to effectively harness EV demand adaptability. To this end, this paper proposes a three-stage EV scheduling strategy that optimally coordinates distribution feeder demand while efficiently allocating the candidate EVs. EV demand, estimated in first stage by an EV aggregator, is further optimized by distribution system operator (DSO) in the second stage leveraging charging flexibility of EVs employing a novel pseudo price function termed "critical peak included locational marginal prices" (CP-LMP). Finally, the third stage entails the EV aggregator maximizing EV allocation. Furthermore, a robust optimization-based operational planning framework is proposed to hedge the uncertainties in EV parameters and their distributions. Comprehensive analyses are presented to validate the efficacy of the proposed methodology. Depending on factors such as EV penetration, permissible load shifting, and charging station capacity, our approach demonstrates a notable 4%–10% reduction in peak load, underscoring the potential benefits of the proposed strategy in enhancing distribution system resilience and efficiency for rapid EV proliferation. • Day-ahead EV scheduling strategy considering peak load reduction and Energy Arbitrage. • A new pseudo-price function is proposed for the optimization. • A Robust optimization based operational planning strategy is proposed. • Uncertainties in arrival time and requested SoC are modeled. [ABSTRACT FROM AUTHOR]

Sustainable construction, especially in cement manufacturing, is gaining momentum due to its potential in reducing greenhouse gas emissions. A noteworthy solution lies in using industrial waste as supplementary cementitious materials, mitigating the challenges associated with waste landfills. While many cement substitutes exist — including geopolymers, inorganic polymers, alkali-activated materials, Portland-based cement, and Calcium sulfoaluminate cement — there's a conspicuous gap in the exploration of sustainable cementitious composites tailored for ultra-high strength applications. This paper aims to address this void. Our review offers a synthesis of recent research on the mechanical, rheological, durability and microstructural properties of ultra-high-performance concrete (UHPC) and ultra-high-strength cement-based materials (UHSC). We research into pozzolanic materials derived from industrial and Agro-waste, analyzing their physical, chemical, and morphological characteristics. Remarkably, many studies have reported impressive compressive strength values exceeding 150 MPa using materials like Fly ash, Silica fume, Ultra-fine fly ash, Basalt powder, Limestone powder, River sand, Recycled construction and demolition waste, Quartz sand, Calcined clay tailings, superplasticizer, and Ordinary Portland cement (OPC). We also explore effective curing methods, with steam curing (72 h at 80 ± 2 °C) and autoclave curing (8 h at 180 ± 2 °C) found to significantly boost the compressive strength of UHPC. Lastly, we discuss the morphology and mineralogy of UHPC and UHSC hydrates, emphasizing the influence of temperature, raw material proportions, and partial replacement of Portland cement. The paper concludes by addressing the challenges posed by various waste streams in achieving high strength, and offers some recommendations for future progress. [ABSTRACT FROM AUTHOR]

Global environmental problems are worsening. Among various regulatory measures, market-oriented approaches are most favored by governments worldwide. Using provincial panel data from 2004 to 2020, a multi-period DID model was hereby constructed to empirically study the pollution reduction effects of the pilot policy for carbon emissions trading in China. Findings of this paper could be listed as follows: (1) The pilot policy has achieved notable reductions in waste gas and solid waste, although its effect on wastewater pollutants has been less pronounced; (2) Pollution reduction in the pilot regions can be achieved by optimizing the energy consumption structure; (3) Significant variations in pollution reduction effects are observed between the Northern and Southern pilot regions, with notably stronger policy effects in the north across various pollutants compared to the south. Overall, this paper offers pertinent policy recommendations to aid the Chinese government in enhancing its carbon market. [ABSTRACT FROM AUTHOR]

Promoting the development of green innovation is crucial for achieving the green transformation of society. This paper considers the decision bias of different agents in policy implementation and presents a theoretical model that captures the structure of the green innovation system. The model includes six subsystems: government, technology, public, energy, environment, and population. The study examines the transmission effect of green innovation and the influence mechanism of multiple decision biases on policy combination effects using a combination of various policy tools. The results show that: Various policy tools and their implementation differences have distinct effects on the green innovation and environmental performance. In most cases, the synergistic policy mix effect, surpassing the impact of individual policies, is driven by the resource effect. However, the synergistic effect of policy combination may not be fully realized, leading to potential conflicts. Due to various decision biases, particularly the gap in the public's green behavior, the policy mix faces challenges in achieving immediate synergistic effects. Combining tax policies with other policy instruments increases the risk of incoherence and inconsistency. However, in the long term, the combination of policy tools can exert strong late-developing advantages. This study provides insights for green innovation policy improvement. • This paper develops a green innovation system with the government subsystem serving as the operational hub. • This paper establishes a policy framework for green innovation systems based on multi-subject decision bias. • This paper simulates the impact of policy implementation on green innovation and main pollutant emissions. • The study finds that tax policy has a more significant dampening effect when combined with other policies. • This study finds that policy mix can exert resource effects, but decision biases cause a delayed manifestation. [ABSTRACT FROM AUTHOR]

Born circular startups play a pivotal role in implementing high-level circularity to fight resource depletion and address climate change. In developing circular business model innovation, circular startups face the challenge of lacking legitimacy, which can be approached by certifications provided by concepts like Cradle-to-Cradle. As there is currently no supporting tool to develop such business models, this paper employs a design science research approach and proposes a Cradle-to-Cradle (C2C) Business Model Tool. The tool is developed based on a literature review, feedback from 42 users in six demonstration workshops and is finally tested with eight startups. It succeeds in aiding born circular startups in navigating the venturing process with a focus on high-level circularity. In this paper, C2C principles developed for the product level are theoretically linked to the business model level. The tool addresses elements such as partnerships, communication, and action-taking, thereby contributing to the literature on circular business model innovation and serving as a practical resource for born circular startups. [Display omitted] • Circular startups face great challenges when innovating for circular business models. • Cradle-to-Cradle principles can enable high level circularity in business models. • Cradle-to-Cradle as a product level concept can be integrated in business models. • Proposed business model tool can support startups with Cradle-to-Cradle innovation. • Design science research contributes to bridging design-implementation gap. [ABSTRACT FROM AUTHOR]

One of the key mechanisms of enhancing the power output of Thermoelectric Generators (TEG) under nonuniform temperature distribution (NUTD) is to restructure their arrays to disperse the NUTD profiles. Existing research works in this area primarily propose dynamic reconfiguration techniques of TEG arrays as a potential solution to maximize their output powers while taking no notice of the highly associated costs of their implementation, i.e., sensors, switches, and maintenance, in addition to the complexity of operation and limited service lifetime of switches. To alleviate these drawbacks, this paper introduces an optimization model for a one-time configuration (OTC) of TEG arrays to maximize their output powers while accommodating multiple NUTD profiles simultaneously. Using the INFO optimizer, the introduced optimization model yields the OTC layout for both symmetrical and asymmetrical TEG arrays across various NUTD scenarios. Given its superior performance, the optimization model is applied to the bridge-linked (BL) TEG array and compared to other configurations such as series (S), series-parallel (SP), and standard BL. The results of the proposed OTC model are compared with (1) standard, non-optimized SP and BL configurations and (2) different dynamic-based reconfiguration techniques. Further, the performance of the proposed model is tested and validated experimentally in the laboratory for the available symmetrical hardware setup, 5 × 5, TEG array under varying NUTD profiles. Compared to dynamic reconfigurations, the results show that the proposed OTC technique provides a partially optimal and cost-effective solution to enhance the output power of TEG arrays under different NUTD. Specifically, for 9 × 9 and 10 × 15 TEG arrays, the OTC saves approximately 1 , 498. 5 ($) and 2750 ($) compared to dynamic reconfigurations, respectively. Moreover, BL-based OTC enhances the TEG array harvested power by maximum values of 1.7532%, 2.43%, and 3.156% compared with the standard S, SP, and BL configurations, respectively, based on the hardware setup. Throughout the detailed comparison between the proposed OTC and dynamic reconfiguration techniques, this paper contributes to a deeper understanding of the trade-offs between these configuration techniques and addresses a critical gap in the current research landscape of enhancing the output powers of TEG arrays. • Introducing a cost-effective static configuration as a one-time solution. • Presenting a robust optimizer for seamless dynamic reconfiguration. • Comparing one-time versus dynamic config, balancing power, cost, and complexity. • One-time setup boosts harvested power, providing significant cost savings. • Dynamic configuration amplifies TEG array power but with added cost and complexity. [ABSTRACT FROM AUTHOR]

Green finance can effectively support industrial upgrading and technology development, such as artificial intelligence (AI). In this paper, we attempt to pursue the possibility of a win-win situation for achieving an eco- and tech-friendly society. By asking where and how we could develop green finance and AI innovation simultaneously, this paper conducts an empirical investigation on the influence of green finance on the development of AI in China from 2011 to 2020. Based on the panel data from the 30 provinces, we introduce spatial measurement, policy effect, heterogeneity, and threshold analyses to present deeper insights into the impact of green finance on AI innovations. Indeed, green finance could promote the progress of AI innovation. China's green finance pilot policy is verified to promote the progress of local AI innovations. Furthermore, the spatial spillover effect and regional heterogeneity are observed as well. The promotion effect is most significant in the western area, where the green finance index is relatively low. Besides, the threshold analysis also considers how to increase the marginal effect of green finance in different areas. Finally, several policy recommendations are proposed, which contribute to providing specific directions for the policymakers to improve AI innovation and achieve sustainable development at the same time. [ABSTRACT FROM AUTHOR]

As China's economy continues to grow rapidly, the importance of green and sustainable development is increasingly prominent. In this context, enterprises have undergone significant changes in all aspects of the value creation process. Based on the data of Chinese a-share listed companies from 2011 to 2021, this paper links the digital transformation of enterprises with the green technology innovation of enterprises. The focuses on the relationship between the enterprises' digital transformation and the enterprises' green innovation and its Local-neighborhood effect. Research shows that the digital transformation of enterprises will promote the enterprise green technology innovation, and this relationship will have a Local-neighborhood effect in different regions, and this spatial spillover effect is mainly achieved through the transfer of high-tech industries between regions. The results of heterogeneity test show that the effect of green technology innovation is the strongest in Beijing-Tianjin-Hebei economic circle, and the weakest in Pearl River Delta economic circle. Based on the spatial econometric model, this paper provides empirical evidence for the government and the state to formulate the regional development strategy of enterprises' digital transformation and green innovation. • Spatial panel Durbin model reveals digital transformation's impact on green technology innovation and regional spillover. • The effect of digital transformation of enterprises on their own green technology innovation has a "local-neighborhood" effect. • The spatial spillover effect is mainly realized through the transfer of high-tech industries between regions. • The strongest green technology innovation effect is found in the Beijing-Tianjin-Hebei economic circle. [ABSTRACT FROM AUTHOR]

The green and sustainable development of fisheries is a crucial way to safeguard the environment, guarantee food security, and promote social and economic development. In the rapidly evolving era of digitalization, how to fully leverage the advantages of digitalization to motivate fishery sustainable development has become a worthy research question. Based on combing the development stage and characteristics of Chinese fishery digitalization, this paper selects six fishery digitalization factors from the perspective of configuration based on the technology-organization-environment (TOE) theoretical framework, and uses the panel fuzzy-set qualitative comparative analysis (fsQCA) method to explore the configurational path of how digitalization empowered the sustainable development of fisheries in China from 2011 to 2021. This paper found that: (1) Fishery digitalization can significantly enhance the level of fishery sustainable development, but individual elements of fishery digitalization are not necessary conditions for realizing a high degree of fishery sustainable development. However, strengthening digitalization talent support plays a more universal role. (2) Four types of fishery digital ecology can generate a high level of fishery sustainable development, demonstrating the multiple paths and complex mechanisms of fishery digitalization empowering fishery sustainable development. (3) In underdeveloped areas such as Jilin, Hunan, and Qinghai, the empowering effect of digitalization on the sustainable development of fisheries is relatively limited. The research findings open the "black box" of how digitalization empowers the sustainable development of fisheries, providing theoretical reference for various types of provinces to utilize digitalization to drive the sustainable development of fisheries. [Display omitted] • Theoretical framework is based on the configuration perspective and TOE framework. • We use the panel fsQCA method to explore fishery digitalization empowerment pathways. • Four types of fishery digital ecology can generate high fishery sustainability. • Digital talent support plays a more general role in fishery sustainable development. • The empowering effect of digitalization is relatively limited in underdeveloped areas. [ABSTRACT FROM AUTHOR]

The defossilization of industry has far-reaching implications regarding the future demand for hydrogen and other forms of energy. This paper presents and applies a fundamental bottom-up model that relies on techno-economic data of industrial production processes. Its aim is to identify, across a range of scenarios, the most cost-effective low-carbon options considering a variety of production systems. Subsequently, it derives the hydrogen and electricity demand that would result from the implementation of these least-cost low-carbon options in process industries in Germany. Aligning with the German government's target year for achieving climate neutrality, this study's reference year is 2045. The primary contribution lies in analyzing which hydrogen-based and direct electrification solutions would be cost-effective for a range of energy price levels under climate-neutral industrial production and what the resulting hydrogen and electricity demand would be. To this end, the methodology of this paper comprises the following steps: selection of the relevant industries (I), definition of conventional reference production systems and their low-carbon options (II), investigation and processing of the techno-economic data of the standardized production systems (III), establishment of a scenario framework (IV), determination of the least-cost low-carbon solution of a conventional reference production system under the scenario assumptions made (V), and estimation of the resulting hydrogen and electricity demand (VI). According to the results, the expected industrial hydrogen consumption in 2045 ranges from 265 TWh for higher hydrogen prices in or above the range of onshore wind-based green hydrogen supply costs, to up to 473 TWh for very low hydrogen prices corresponding to typical blue hydrogen production costs. Meanwhile, the direct electricity consumption of the process industries in the results ranges from 147 TWh for these rather low hydrogen prices to 338 TWh for the higher hydrogen prices in the region of or above the hydrogen supply costs from the electrolysis of energy from an onshore wind farm. Most of the break-even hydrogen prices that are relevant to the choice of low-carbon options are in the range of the benchmark purchase costs for blue hydrogen and green hydrogen produced from offshore wind power, which span between €40 per MWh and €97 per MWh. [Display omitted] • Derivation of the future hydrogen and power demand of the process industry in Germany. • Bottom-up, process-level model to find the least-cost low-carbon production method. • Reference year is 2045, and the achievement of climate-neutral production is assumed. • Model determines the hydrogen and power demand under varying hydrogen prices. • Expected hydrogen use between 265 TWh and 473 TWh, depending on scenario assumptions. [ABSTRACT FROM AUTHOR]

Solar thermochemical cycling is a promising approach to utilizing solar energy to produce H 2 and CO, which can be further synthesized into liquid fuels via Fischer-Tropsch reactions, making storage and transportation easier. Despite the potential high theoretical efficiency, factors such as the high temperature and low oxygen partial pressure required for the reduction restrict the large-scale application of this technology. In the near-to-medium term, in order to accelerate the popularization and application of this technology, according to Le Chatelier's principle, the assisted reduction of methane can greatly reduce the demand for high-temperature materials and ultra-low oxygen partial pressure. However, the addition of methane will also bring additional challenges, such as carbon emissions and carbon deposition. Reducing the influence of factors such as material sintering and irreversible loss on system efficiency in the experiment will be essential for the development of this technology. This paper focuses on the methane-driven two-step thermochemical cycle hydrogen production process, summarizes its reaction mechanism, thermodynamic analysis, kinetic analysis, oxygen carrier material doping, and experimental research in detail, and comprehensively analyzes the effect of material properties and irreversible loss on the system. According to thermodynamic and kinetic analysis, rational selection and doping of metal oxygen carrier materials can effectively reduce the reaction temperature, improve gas production rates, and enhance structural stability. Analyzing and trying to reduce various irreversible losses of the system, such as reradiation energy loss, conduction energy loss, etc., and taking appropriate heat recovery measures will help to improve the system efficiency of the actual cycle. This paper would be valuable for the development of this technology and for achieving the goal of carbon neutrality. [Display omitted] • The process of methane-driven two-step thermochemical cycles is reviewed. • Searching for high-performance oxygen carriers through doping and modification. • Significantly reduce the temperature and oxygen partial pressure of the reaction. • Pros and cons between methane-driven and non-methane-driven cycles are compared. [ABSTRACT FROM AUTHOR]

Pharmaceuticals are a group of man-made commercial and synthetic products and an important mainstay of modern society. However, their presence in aquatic environments is identified as a potential risk, causing harm to living things even at low concentrations ranging from ng L−1 to μg L−1. Due to their pseudo-persistence, bio-accumulation, and low elimination rate by conventional treatments, the majority of these xenobiotic contaminants and their metabolites are routinely released into the environment by sewage treatment plants and last longer in an aquatic environment. This review aims to provide an extensive report and a current state of knowledge concerning various classes of pharmaceutical compounds (PCs). It also discusses the occurrence, the analytical methods for the determination of PC micro-pollutants, and the remediation methods noted in recent literature focusing on the most recent advances. In this context, this review highlights the statistical data regarding the status of PCs in detection, analysis, and removal methods in aqueous media. In addition, this review provides an overview of the conventional and advanced technologies for the removal of PCs from water sources, offering critical comments, and discussing the challenges related to improving existing technologies for sustainable and eco-friendly management of water resources. It likewise emphasizes the importance of the combination of different treatment methods to reach up to 100% PC removal. Finally, gaps in the literature were found, and recommendations for further research were also cited in accordance with this paper. To the best of our knowledge, this review paper is among the rare works that deal with both: i) the analysis of large varieties of PCs in different water matrices, ii) the removal and identification of target analytes and their by-products generated during the elimination processes, and iii) the possible degradation pathways proposed by different studies. [Display omitted] • Occurrence of PCs in different water matrices are discussed. • Analytical methods for identifying PCs in waters are elucidated critically. • Advanced treatment methods for PCs removal are systematically reviewed. • Performed analytical techniques for by-products identification are described. • Possible mechanistic ways of PCs elimination by AOPs are proposed. [ABSTRACT FROM AUTHOR]

The textile industry's resource use, waste, and emissions have led to severe scrutiny, worsened by fast fashion's rise, making clothing disposable. The circular economy (CE) offers a solution to address these issues but achieving circular fashion requires systemic and comprehensive stakeholder engagement across the value chain. Current research often overlooks wider stakeholders beyond internal company members, neglecting calls to incorporate a systems perspective in CE transitions. Moreover, the potential of stakeholder engagement for social learning, where stakeholders mutually share and acquire knowledge, remains largely untapped. To this end, this paper provides a systematic methodology of stakeholder engagement based on an empirical setting of transition towards CE in fashion textiles in London. It entails identifying contexts, aligning stakeholders' actions, negotiating interventions, and communicating insights effectively. Based on the learnings from an empirical stakeholder engagement process, findings suggest a lack of alignment in the understanding of the CE concept across actors, that is underpinned by a fragmented knowledge of the overall value chain, often leading to also fragmented siloed policy approaches. While this paper uses fashion textiles as an illustrative case study, the process-led framework is largely applicable across different areas of the CE transition. • Stakeholder engagement fosters social learning in circular transitions. • The fashion industry lacks alignment on circularity interventions across the value chain. • Actors in fashion lack a cohesive understanding of the value chain. • Circular fashion requires design, business models, and behaviour changes. • The stakeholder engagement framework applies to circular economy transitions in general. [ABSTRACT FROM AUTHOR]

Despite the transition towards a circular economy (CE) being a significant element in achieving the decarbonisation of the built environment, a clear and common pathway to applying CE principles to building design is still lacking in both industry practice and academia. The integration of Building Information Modelling (BIM) and Life Cycle Assessment (LCA) has the potential to enable the identification of feasible pathways to increase circularity. This study aims to investigate its practical use to facilitate the application of circular economy principles at the early stage of building design via using LCA-based BIM plugins. Within this aim, the paper centres on a co-production approach and presents a gap analysis by identifying gaps in knowledge and implementation as well as addressing the pressing needs of the current practice in the UK. A series of semi-structured interviews with expert practitioners in the field were conducted for data collection, contributing to the following phases of the co-production by allowing for an in-depth investigation and reflection of the practice. The findings have revealed that: (a) there is still an insufficient level of contextual awareness and readiness in the implementation of CE principles in the built environment and LCA understanding and (b) the adoption of BIM at the early stages of building design is still limited in the current practice; BIM models with sufficient level of data details and quality to enable circularity assessment are rarely produced. Thus, the paper highlights the need for enabling mechanisms, including the introduction of legislative instruments, the involvement and commitment of the industry and key stakeholders, the support for training and skills improvement, and the establishment of effective communication and implementation process management frameworks. Future research agenda points to the need of formulation of a BIM protocol to enable integration of BIM and LCA to promote CE principles in the building design process. [Display omitted] • Co-production is a promising approach to capture and respond to the industry needs. • Lack of seamless integration between BIM and LCA tools. • Insufficient understanding of how to apply CE principles in the building design. • Lack of systematic guidance and standardised process to implement BIM and LCA integration. • A tailored BIM protocol needed for applying LCA from a CE perspective in the building design. [ABSTRACT FROM AUTHOR]

To address the urgent need for sustainability, this paper provides a critical discussion and serves as a pivotal resource for stakeholders in the mining and construction sectors. It advocates repurposing mining waste into concrete aggregate, promoting eco-friendly practices. The paper conducts a thorough review of recent developments, technological innovations, and methodologies to showcase mining waste's potential as a sustainable construction material. Highlighting more than a decade of research, our analysis reveals significant environmental, economic, and practical benefits, such as reduced ecological footprints through waste minimization and resource conservation, alongside cost-effective material alternatives. This investigation offers an in-depth look at these advantages and sparks essential discussions about incorporating advanced recycling technologies into conventional construction workflows. Promoting circular economy principles, the study underscores the dual gains: lessening environmental impact and progressing towards resource efficiency. Aiming to alter industry perceptions and practices, the work encourages a shift towards environmental stewardship and innovation. Ultimately, this paper aims not only to disseminate knowledge but also to motivate action. It provides readers with the necessary insights to lead a transition towards more sustainable industry norms, thus establishing a new benchmark for addressing sustainability challenges with creativity and collective effort. • This paper enhances construction sustainability by repurposing mining waste effectively. • This paper advocates for integrating recycling and circular economy principles in construction. • This paper promotes an industry-wide sustainability shift by leveraging mining waste's potential. [ABSTRACT FROM AUTHOR]

Large-scale concentrated Variable Renewable Energy (VRE) sources pose a challenge to the balance and security of electricity systems. Studies have shown that the demand side may offer a greater responsiveness based on the shiftability of loads. However, there is currently no known literature on the demand response (DR) of large-scale shiftable loads in the residential sector. Firstly, there is no sufficiently large database of residential appliance-level load. Secondly, scheduling a large number of small residential shiftable loads simultaneously is a major challenge. Ultimately, the DR of large-scale residential buildings encounters the challenge of ensuring sufficient backup shiftable load to effectively cope with real-time VRE fluctuations during the response period. To address these issues, this paper proposes an appliance-level load data generation method based on diffusion neural networks. Meanwhile, a clustering method based on Generalized End to End (GE2E) loss neural networks is proposed to solve the complexity obstacles in simultaneous load swarm scheduling. Thirdly, a two-stage scheduling approach is proposed to address the challenges in the large-scale DR period through constructing day-ahead and real-time response models. The simulation results show that large-scale residential shiftable loads have a strong response capability to VRE fluctuations, and their response cost is lower than the conventional fuel-fired-power-plant-based-response within a certain user preference cost range. In practice, the clustering and scheduling methods proposed in this paper can be applied after the non-intrusive load monitoring (NILM) method is deployed to decompose the load data. • This paper addresses the research gap regarding large-scale residential load response to fluctuations in concentrated variable renewable energy sources. • A novel data generation model is proposed to address the issue of insufficient data scale in existing databases. • A novel load clustering algorithm is proposed to address the curse of dimensionality in simultaneous load swarm scheduling. • A novel two-stage response model is proposed is proposed to minimize the response cost and user preference loss. • When the unit user preference cost is lower than a certain boundary, the proposed response method is more cost-effective than conventional methods. [ABSTRACT FROM AUTHOR]

This paper presents an integrated mathematical decision-making model to reduce environmental footprints using process integration. By doing so, we address the research question: How can supplier selection, ergonomic factors, and green practices be integrated into mathematical decision-making models based on the vendor-managed inventory policy ? We use the Branch and Bound method to provide optimal solutions and a metaheuristic optimization approach in computational intelligence for large-scale problems. This paper employs a multi-criteria decision-making method to compare proposed algorithms results based on six criteria. Our findings reveal that integrating the sourcing process with inventory decisions significantly improves cost performance. Furthermore, our results demonstrate that the proposed model effectively balances environmental and economic objectives using a carbon tax. Moreover, sensitivity analysis results indicate that optimizing water and energy consumption can significantly improve carbon footprints. In addition, the study shows that ergonomic factors, including lighting and temperature, have a substantial impact on performance. The primary contributions of this paper include the incorporation of a multi-sourcing strategy, green practices, ergonomic factors, and supplier selection into vendor-managed inventory decision models. [Display omitted] • This paper presents a process integration for sustainable supply chains. • An analytical model is proposed to reduce environmental footprints using a carbon tax. • Water and energy consumption are included in the decision-making processes. • The impacts of ergonomic factors, such as light and temperature, are investigated. • Exact solvers and computational intelligence techniques optimize the proposed model. [ABSTRACT FROM AUTHOR]