Search

During its operation, a photovoltaic (PV) panel is exposed to various and in general, stochastic thermal and wind conditions, which have a significant influence on the PV panel operating temperature. The increased PV panel operating temperatures normally have an unfavorable effect on the PV panel performance and lifetime, thus various cooling methods were proposed in order to increase the photovoltaic energy conversion efficiency. A reasonable step before the consideration of a specific cooling strategy is to obtain a PV panel performance analysis with respect to its surroundings (specific geographical micro location) for various operating conditions. This paper presents such a study, which was conducted through an experimentally validated numerical model. Numerous CFD simulations regarding heat and fluid flow around a monocrystalline PV panel coupled with a heat flow simulation inside the PV panel elements were conducted. The aim of the paper was to investigate an effective heat transfer field and the variations in the PV panel temperatures with respect to various wind velocities and heat source conditions. A detailed study regarding pressure, viscous and body (buoyancy) forces as well as their effects on flow separation was also conducted. The study also investigated the changes in the effective heat transfer near the PV panel. The gained results in this study turned out to be useful for the consideration of a specific cooling strategy for PV panels, which can ultimately lead to an increase in PV panel efficiency and lifetime. Additionally, the conducted study could be used to improve the delivered electricity prediction from the PV system at a selected location defined by specific wind velocities and solar insolation distributions. [ABSTRACT FROM AUTHOR]

The operation of solar photovoltaic installations for many years may lead to problems such as reduced energy efficiency and aging of components. Under this framework, replacing certain components in the facility to extend the service life of the power plant is viewed, in some cases, as a feasible strategy. However, despite its enormous strategic interest for the solar PV industry, we find that revamping PV installations has been the focus of very few scientific publications, and even less so when it comes to analyzing real facilities. Thus, this paper performs a techno-economic analysis of three revamping strategies at a real PV power plant located in the south-east of Spain. The strategies consist of substituting, in each case, the PV modules, the inverter, and both components. The simulated results show that the highest production value by installed power is obtained when both the modules and the inverter are replaced. In the same vein, the economic analysis reveals this scenario as the most favorable in terms of profitability. Based on the results obtained, an interesting future line of research would be focused on the extension of the analysis at country level to study the joint impact of numerous revamping actions. • Techno-economic analysis of revamping projects of a real solar PV power plant. • Replacing modules and inverter emerges as the most feasible strategy. • Study's applicability extends to other revamping initiatives and geographical regions. • Economic outcomes allow the most cost-effective alternatives to be determined. • This research can contribute to efficient and sustainable energy planning. [ABSTRACT FROM AUTHOR]

This paper presents a novel research work on the potential benefits of using, a unique and sustainable energy source - the human-power. The paper discusses the benefits and the practicality of using human-power as a domestic energy source to power electrical and electronic devices and explores the benefit of its use in a more diverse perspective for possible change in behaviour and energy savings for improved sustainability in the society. The economic and sustainability gains of using Human-Powered Products (HPPs) are investigated. Two studies have been conducted, the first is a study which involves assessing the environmental impact of a human-powered products via Life Cycle Assessment (LCA); and the second is a case study called Home User Study (HUS), where the technology is experimentally tested. The human-powered system is used to explore the real benefits and life-cycle analysis towards assessing the sustainability of such products. The Home User Study (HUS) has been conducted to explore the in-situ use of human-powered systems using a new prototype that has been built and deployed. The study has used a monitoring device to measure the outcome of the interaction between the user and human-powered products. The results interestingly have revealed various other forms of benefits beyond renewable energy that could add extra motives for using human-powered products, such as health benefits. The paper also puts an emphasis on the opportunity of using Human-Powered Products which can be perceived as a great viable solution against counter measuring social issues such as physical inactivity and increasing sedentary behaviour. The results of the theoretical study indicate that Human-Powered Products (HPP) do not offer significant financial savings. The results of the HUS indicate that using human-powered products for health prospective outweigh the benefit gained from the prospective of energy savings and renewable energy. Based on the findings of this study, the paper suggests an approach that shows how the implementation of Human-powered systems could provide the opportunity to sustainable energy generation and energy savings, but in all cases they can be retained through a motivational drive in improving the health benefit via encouraging physical activities. [ABSTRACT FROM AUTHOR]

The sustainability transition of electricity sectors is a matter of competition between multiple emerging renewable systems and dominant, established conventional systems. These transitions are multi-dimensional and are featured with non-linear and causal interactions between social, technical, economic and political components. Understanding the dynamic of transitions, i.e. how transitions unfold, can inform effective policy interventions. This paper aims to present a narrative-modelling approach to improve the understanding and description of transition dynamics in electricity sectors. The central ideas of the paper are: (1) the use of qualitative transition narratives helps to capture the co-evolving nature of society and technology which are simplified in modelling approaches; (2) narratives, with concepts from the sustainability transitions field, also guide the development of a model structure; and (3) computational models, in return, reproduce the complexity of transition dynamics, i.e. feedback loops, non-linearity, and time delays—the features which are impracticable to analyse with transition narratives alone. We use the historical transition of India's electricity sector to demonstrate the implementation of our proposed approach. First, an overview of the transition narratives is presented and the model structure, developed based on the narratives, is explained. Then, it is argued how the coupling of the narratives and model improves our understating of the positive impacts as well as the side-effects of stable feed-in tariffs and accelerated depreciation on the penetration levels of wind and solar electricity. [ABSTRACT FROM AUTHOR]

The rapidly growing state of energy consumption and the urgency of mitigating the harmful effects of climate change have accelerated our transition to renewable energy. This paper proposes a multi-level framework for exploring the global competition to develop renewable energy technologies. Through a combination of text mining techniques and by analyzing a corpus of patents covering six renewable energy technologies from 1970 to 2019, we reveal the lifecycle of these technologies, the original sources of these technologies, their potential markets, and the different supply and demand patterns of the major countries/regions involved. The results show that solar and wind energy are currently the most widely used renewable energy sources, yet biomass is the only energy source still in its growing stage. China's patents have seen a rapid upward trend, spurred on by strong policy promotion, which runs counter to the decrease in patent applications seen in most other major countries in this area. However, China's technology imports still far outweigh its exports, indicating that there is still a sizeable gap between China and some of the more developed countries like the United States, Germany, France, and the United Kingdom in terms of high-quality, high-value patents. Accordingly, China, the United States, and Japan are currently the leading in the world's renewable energy markets. That said, the market potential of Europe, Canada, and Australia should not be underestimated. These and more themes are discussed from a political, economic, environmental, and global governance perspective. This paper provides useful insights into the global renewable energy technology landscape, particularly the competitive dynamics at play. The aim is to guide policy makers or managers on the next steps in our progress toward applying and using renewable energy at scale. [ABSTRACT FROM AUTHOR]

This research investigates the relationship between greenhouse gas (GHG) emissions and energy production and consumption patterns in 122 countries over the period from 1990 to 2020. Particular attention is paid to the role of different types of energy, including renewable, hydro and nuclear energy, as well as oil, gas and coal, in shaping GHG emissions. Unlike previous studies, the paper analyzes the full range of energy resources and focuses on different quantiles of data using the quantile-quantile regression (QQR) method. The results of this approach are compared with traditional quantile regression (QR) to assess its validity. Among the findings of this study are: (1) different parts of the energy mix have a heterogeneous impact on GHG emissions in different quantiles; (2) energy consumption patterns play a more significant role in shaping GHG emissions than production patterns; (3) increasing production and consumption of fossil fuels does not necessarily increase GHG emissions; (4) similarly, the development of renewable energy sources is not always accompanied by a reduction in GHG emissions. Our general conclusion is that existing climate policy requires significant diversification to not be focused only on renewable energy, which impact on GHG emissions is not as homogeneous as it usually considered, and which cannot solve the problem of raising emissions solely. Instead of this, it could be more rational to focus on the searching the ways of hydrocarbon industries sustainable development and support them in this journey, especially in the field of Scope 2 and Scope 3 operations management. • Impact of energy consumption and production on GHG emissions were analyzed for 122 countries in 1990–2020. • Quantile and Quantile-on-Quantile regression were used to catch the specifics of energy consumption and production patterns. • Two temporal breakpoints (1999/2000 and 2009/2010) were introduced to catch shifts in variables dependencies. • The influence of fossil fuels on GHG emissions is not homogeneous as it usually considered, the same is fare for renewables. • A promising option to reduce GHG emissions is carbon capture, utilization and storage (CCUS). [ABSTRACT FROM AUTHOR]

Transnational power cooperation contributes to promoting the large-scale use of renewable energies in Asia, but how to develop the structure of power transmission network deserves careful investigation. This paper thoroughly investigates the structure of power investment and transmission network in China and neighbouring countries, aiming to promote the large-scale use of renewable energies around Asia. Various power-generation and power-transmission technologies are considered in detail, and transnational power interconnection risk cost and carbon emission cost are embedded into a bottom-up optimization model. The future power-generation structures and networks installed under various policy scenarios are analysed in detail, and the corresponding economic, carbon emission reduction and renewable energy consumption benefits are evaluated. The results show that power transmission between China's internal regions and neighbouring countries can save $56.7 billion for the entire power system through the large-scale grid integration of renewable energy. The installed capacities of wind power, solar power, and hydropower renewable energy power generation could be increased by 141 GW, 163 GW, and 58 GW, respectively. The construction of transnational transmission lines from Central Asia to Northwest China, Mongolia to North China, the Russian Far East to Northeast China, and Northeast China to South Korea could effectively promote the utilization of renewable energy in the Russian Far East, Mongolia and Central Asia and further reduce carbon emissions in China, Japan and South Korea. • It examines how to construct a power investment and transmission network in Asia. • Various technologies, risks and costs are considered based on bottom-up model. • Huge benefits exist for power transmission between China and neighbouring countries. • Various power-generation structures and networks installed are analysed in detail. • Suggestions about power investment and transmission are given for Asian countries. [ABSTRACT FROM AUTHOR]

Renewable energy plays an important role in reducing global carbon (CO 2) emission. This paper builds a RER (renewable energy consumption rate) index to represent the energy structure of a country and proposes a U-shaped RKC (renewable energy Kuznets Curve) hypothesis between RER and economic growth. We also examine the dynamic relationship between RER and the Environmental Kuznets Curve (EKC) hypothesis using two panel data sets of 17 major developing and developed countries as well as six geo-economic regions of the world during 1990–2014. Panel co-integration tests indicate that a long-run relationship exists among economic growth, RER and carbon emission. We employ the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (DOLS) techniques to estimate the co-integration coefficients of the panels and individual countries/regions respectively. The results verify both the EKC and RKC hypotheses, indicating that a 10% rise in RER would to a 1.6% carbon emission reduction. It is also found that the RKC turning points of individual countries and the entire samples in general take place before the turning points of the respective EKCs. It suggests that promoting renewable energy consumption to make RKC cross its turning point earlier can accelerate EKC to reach its turning point more quickly. This finding has important policy implications with respect to the development and utilization of renewable energy and environmental protection. The dynamic relationship between EKC and RKC. Image 1 • We examined the relationship between renewable energy and GDP. • A U-shaped curve exists between GDP and renewable energy consumption. • The turning points of RKCs take place earlier than that of the EKCs. • Promoting RKC arrive its turning point in advance can accelerate EKC to reach its turning point more quickly. [ABSTRACT FROM AUTHOR]

Policies targeting energy efficiency and renewable energy are sometimes viewed as more politically feasible than carbon pricing in pursuit of emission reduction goals. This paper assesses underlying drivers of energy policy development. These factors include economic, social, environmental, and institutional variables. The between estimator for panel data is an appropriate method for our focus on some exogenous variables that vary more across countries than over time. We find that larger oil reserves per capita have a negative relationship with renewable energy policy development. Education and political globalisation have strong positive relationships with both energy-efficiency and renewable-energy policy development. These results suggest that greater participation in global political groups can be an indirect approach toward energy policy development, in cases where direct and immediate policies are hard to implement. OECD countries have higher policy scores by 33 and 25 points in energy efficiency and renewable energy respectively. Blinder-Oaxaca decomposition analysis shows that these higher scores are primarily due to social and political institution predictors rather than economics and physical endowments. • Large-n cross country international sample on continuous policy score measurement. • Political globalisation is positively linked with renewables and energy efficiency policies. • Education is positively linked to energy policy development, especially for efficiency. • Higher OECD countries' policy scores are primarily due to social and political predictors. • Higher incomes are unlikely to lead to automatic improvements in energy policies. [ABSTRACT FROM AUTHOR]

A comprehensive understanding of the impact of renewable/non-renewable energy consumption on ecological quality and economic growth can serve to the sustainability of energy, ecology, and economy. This paper provides a new perspective of the comprehensive system of the 3E model, and introduces indicator of social factor to examine the non-linear effects of urbanization on energy, economy, and the environment. A threshold panel regression model is developed using the data of 120 countries in the last 20 years. In the proposed model, renewable energy and non-renewable energy are explanatory variables, economic growth and ecological footprint are explained variables, and urbanization are threshold variable. Non-linear relationships are concretized and quantified in the research of global and different income groups. The results show that global renewable energy can promote economic growth while improving the environment. As the urbanization rate increases, the negative effect of renewable energy on the ecological footprint first weakens and then increases, and the positive coefficient on the economy maintains a growth trend. Non-renewable energy has a more obvious positive effect on economic growth, but it increases the ecological footprint. The development of urbanization strengthens its promotion of the economy and reduces its pressure on the environment. From the perspective of different income groups, renewable energy does not always suppress the ecological footprint. The energy transition reduces economic growth in the initial stages of urbanization in certain regions. After crossing the threshold, the coefficient changes of different income groups have similarities and differences. Based on the conclusions, some recommendations are put forward, including promoting the transformation of energy consumption structure, improving energy efficiency and accelerating the process of urbanization. The model in this paper is suitable for investigating the nonlinear impact of urbanization on the 3E system through panel data, and can provide theoretical support for studying the threshold effect of a country or economy. This study also shows the importance of renewable energy and the indirect effects of urbanization, which is helpful for formulating global sustainable and coordinated development policies. [Display omitted] • A new perspective of the energy-economy-environment (3E) model is proposed. • Threshold models enable the non-linear relationships to be concretized and quantified. • Global renewable energy improves the environment while promoting economic growth. • Urbanization reduces the pressure on the environment from energy consumption. • Urbanization strengthens the positive effect of energy on economic growth. [ABSTRACT FROM AUTHOR]

Energy is essential for socio-economic development and due to the increase in energy consumption it is necessary to look for renewable and clean energy over the coming decades. Wind energy has received more attention than other sources due to better economic conditions as well as lack of environmental pollution and unlimited wind resources. This paper describes a practical method for measuring the potential of wind resources with the ability to generate electricity, using the geographic information system and considering the selection criteria of wind farms. The present study analyzed a multi-criteria decision support system to define wind energy resources in western Iran. In the method of calculating wind potential in this paper, the desired items are considered with equal importance and these criteria include technical, environmental, economic and geographical factors. The aims of this research are measuring the potential of areas suitable for generating electricity from wind energy for large turbines according to international standards, stating the standards and criteria for measuring the potential of wind resources and finally implementing the items mentioned in regional electricity. The results show that assuming the use of Gamesa G58 turbine, a maximum of 1897 MW of wind power can be generated in the study area, which is 26% of the region's electricity supply in 2025 horizon. The method used in this study can be applied for future wind potential measurements and it is recommended to be integrated with fuzzy AHP method to enhance the accuracy of the results. • Describing a practical method for measuring the potential of wind resources with the ability to generate electricity, using the geographic information system and considering the selection criteria of wind farms. • Measuring the potential of areas suitable for generating electricity from wind energy for large turbines according to international standards. • Obtaining the necessary factors to select suitable locations for wind farms in Iran's Western Regional Electricity in order to provide criteria based on GIS and evaluating their impact. [ABSTRACT FROM AUTHOR]

This paper presents the application of the Discrete Event Simulation (DES) in an industrial plant to analyze the behavior of the consumption and generation of electrical energy in conjunction with other variables of the process. In other words, the process modeling was conducted considering the energy consumption in equipment as well as the local photovoltaic (PV) energy generation. A medium-sized plant was the reference base used herein, and the main variables considered were the time of supply of tanks and processing of raw material, active power of equipment and energy tariffs. A simulation model with resolution in seconds was designed, enabling the simulation of consumption curves of each equipment of a given part of the production process. The equipment of variable active demand was modeled by a mathematical regression method, and the others were assumed with constant power. The same model was altered to unit in minutes for simulating the monthly electricity consumption, so as to obtain financial results. The contractual rules for electricity supply were included, and the use of a diesel-powered generator was taken into account. The application of a freeware was employed as a low cost alternative for small and medium-sized companies, even though the lack of graphic resources has increased the complexity of the system modeling process. The model with resolution in seconds proved to be efficient to simulate the consumption profile of a specific equipment that alters the power in a short-time period, such as the pumps. The model, on the other hand, in minutes allowed a more effective analysis in terms of finance, enabling the verification of alternative scenarios throughout a month. The monthly cost reduction perceived by considering self-generation in this model was about 36%. Detailed diagram of the main elements of modeling of a manufacturing process of an industry concentrating on the consumption and generation of electric energy. Image 1 • The electricity consumption in an industrial process can be approached in a simulation model. • PV energy can be simulated together with variables of industrial processes. • The discrete event simulation can be used in industrial processes to optimize the electricity management. [ABSTRACT FROM AUTHOR]

Abstract The Association of South East Asian Nations (ASEAN) is a diverse region characterized by rapid economic growth, demographic change and urbanization. The dominance of energy supply from non-renewable resources in the region means that the increasing energy demand has implications for energy security, as well as adverse local and global environmental effects. Climatic conditions in the region are favorable for renewable energy (RE) resources, especially but not only wind and solar technologies. ASEAN countries differ strongly in terms of their national policy frameworks and progress in renewable energy development; the overall target of 23% renewables by 2025 is very ambitious under current policy frameworks. This paper identifies a gap between these national policies and local governance, especially in urban areas, which requires attention to ensure future target fulfilment. By employing a new combined correlation and decomposition approach at country and city levels, we investigate the determinants of RE expansion and explore the trend drivers in ASEAN countries from 1995 to 2013. An Impact Matrix is developed to position and interpret the relative push (e.g. policy) and pull (e.g. market) impacts on RE development, and to derive policy recommendations for countries and sectors. The results highlight that urban areas should be the focus of RE policy and governance in addition to rural areas. The tremendous impact of economic growth creates a great impetus for renewable energy development, but urbanization is the second pull for renewable energy extensions. Since the two effects are located in the first quadrant of the Impact Matrix, if strategists affect these factors, they will create the most powerful incentive for renewable energy growth. This confirms that if the strategic aim is to promote renewable energy market development, through policy and governance measures, the focus should be on urban areas, non-electricity sectors and the demand side. [ABSTRACT FROM AUTHOR]

Despite the positive momentum achieved by the renewable energy sector in recent years, there are substantial challenges that need the attention of the global community, and one of the more pressing issues is dealing with the deleterious external costs of power generation. One of the parameters to compare costs of energy across various technologies is levelised cost of energy (LCOE), but it has been conventional practice to neglect the external costs in estimating the LCOE of power generation technologies. Furthermore, as LCOE is a critical indicator for policy and decision makers, there is a need to juxtapose actual costs of renewable and conventional power generation technologies. This research paper attempts to internalise some of these external and GHG emission costs across various power generation and storage technologies in all the G20 countries, as they account for 85% of global power consumption. As future investment decisions are largely influenced by costs, estimates in this research prove renewables and storage to be far cheaper than fossil and nuclear sources by 2030, even without considering external costs. The myth that renewables are ‘way too expensive’ has been debunked repeatedly, and the cost decline of wind and solar photovoltaic (PV) technologies have outpaced most industry expectations. The results of this research not only substantiate this trend, but also statistically display that all the G20 countries have the opportunity to decrease their energy costs significantly, between now and 2030. Renewable energy technologies offer the lowest LCOE ranges across G20 countries in 2030. Utility-scale solar PV generally shows the lowest values ranging from 16 to 117 €/MWh el and onshore wind LCOE range is from 16 to 90 €/MWh el . Rooftop solar PV generally offers the next lowest LCOE ranging from 31 to 126 €/MWh el , followed by LCOE of offshore wind power ranging from 64 to 135 €/MWh el . Solar PV and battery systems are highly competitive on an LCOE basis at utility-scale ranging from 21 to 165 €/MWh el and at residential scale from 40 to 204 €/MWh el . The G20, as well as other countries, can continue to develop their economies in a sustainable manner, along with substantial co-benefits in adjacent policy fields such as higher national welfare, better health of citizens, lower respective health costs and improved energy security. [ABSTRACT FROM AUTHOR]

This paper reviews the incentives for pursuing a low-carbon electricity sector that are embedded in China's regulatory and policy framework. To do so, we first describe the industry structure and the regulatory framework. Second, we explicitly review the policies that were developed to promote energy efficiency and renewable energy. These policies range from the introduction of legal requirements to undertake particular actions to pricing mechanism and financial incentives. Based on this, we tease out the challenges faced by a sector governed by a myriad of complex arrangements, different institutions and agents who face different and often conflicting incentives for pursuing environmental and energy efficiency objectives. Finally, we provide suggestions to scientifically set up low-carbon policies and to achieve the expected goals with minimum social cost. [ABSTRACT FROM AUTHOR]

Global warming, climate change, and resource depletion have forced us to reconsider energy usage and efficiencies over the last few decades. Residential and commercial buildings are both large energy consumers, so improving energy and material usage efficiency in this sector is a common research topic. According to a recent study, the Building Sector (BS) accounts for 40% of greenhouse gas emissions. The primary objective of this paper is to examine and assess the potential of Renewable Energy Systems (RES) and their combinations for enhancing energy efficiency in the BS. Specifically, the focus will be on converting low energy-efficient buildings into highly efficient ones. The potential of the RES and their combinations for the BS is evaluated based on payback durations, energy generation, and reduction of CO 2 emissions. The optimization flow charts for the RES, feasibility studies, commercialization road maps of energy storage systems and the necessity of control mechanisms for enhancing RES efficiency were discussed. Additionally, the technology drawbacks are discussed, along with various innovative techniques recommended to direct future study in this area. Finally, this article assists the audience clear idea in the selection of the right combination of potential RES based on different conditions to achieve deep decarbonization in BSs. • Buildings sector (BS) responsible for 40% of GHG emissions. • Study assesses potential of Renewable Energy System (RES) in BS. • RES evaluated on payback, energy generation, and CO 2 reduction. • Optimization, feasibility and commercialization studies were discussed. • Article recommends right RES combinations for deep decarbonization in BS. [ABSTRACT FROM AUTHOR]

The Yangtze River Delta region is one of the key areas of energy transition for China's carbon neutrality. The pathways to carbon neutrality are diverse in the regional level due to the different conditions on the energy supply and demand side. How to construct comprehensive assessment index system and evaluate regional pathways to carbon neutrality is an urgent problem to be solved. To fill this gap, this paper evaluates the carbon neutrality pathways of supply-side and demand-side coordination in the Yangtze River Delta region using the Low Emissions Analysis Platform with five scenarios (64 sub-scenarios): Business as usual, energy intensity decrease, energy structure reform, power supply technology innovation and policies mix. The simulation results indicate that: (1) 22 of the 64 sub-scenarios can achieve carbon neutrality by 2060. (2) In energy intensity decrease scenario, an annual 6% reduction in energy intensity could achieve carbon neutrality before 2060. (3) The policies mix scenario can lead to 21 sub-scenarios with pathways to achieve carbon neutrality when the average annual energy intensity decreases by 4% or more. Additionally, the end-use sectors electrification level should reach 64.19% at least by 2060. (4) There can be 14 sub-scenarios to achieve zero carbon emissions in the power plant sector, but annual energy intensity should be reduced by at least 4%. Applying Analytic Hierarchy Process analysis, the article evaluated the 22 sub-scenarios with the index of regional pathways to carbon neutrality. The result shows that the mixed policies of energy intensity reduction, energy structure reformation and power technology innovation can promote the coordination of supply-side and demand-side. This study can provide reference for policymakers to formulate effective policies to realize carbon neutrality. • The coordination of energy supply and energy demand is assessed. • A model with five scenarios (64 sub-scenarios) is developed for carbon neutrality. • Energy intensity drops by 4% or more can lead to multiple carbon neutral pathways. • A comprehensive assessment index of regional carbon neutral pathways is developed. [ABSTRACT FROM AUTHOR]

The major consumption of energy around the globe is related to human activities. However, it may be essential to quantify how renewable energy consumption influence process of human development. This particular area of research still needs to be explored. Thus, this paper explores the relationship between renewable energy consumption, economic growth and human development index for 1990–2014 in Pakistan by using Two-Stage Least Square (2SLS) method. Empirical results reveal that renewable energy consumption does not improve the situation of the human development process in Pakistan. More, interestingly higher the income of the country the lower is level of human development. In addition, the CO 2 emission is helpful to improve human development index. Furthermore, trade openness discourages human development process in Pakistan. Furthermore, causality analysis confirms feedback hypothesis between environmental factor and human development process in the long run path. These novel findings would help policymaker and government officials to better understand the role of renewable energy and economic growth in the human development process in Pakistan. [ABSTRACT FROM AUTHOR]

This paper deals with a passive cooling technique for photovoltaic (PV) panels in order to increase energy conversion efficiency through a reduced PV panel operating temperature. The proposed passive cooling technique consists of aluminum fins mounted with epoxy conductive glue on the backside surface of the PV panel (Si-poly, 50 W panel examined). Two specific rib configurations, i.e. geometries were considered in order to enhance the cooling rate from the backside surface of PV panel. The first configuration was obtained from parallel positioned aluminum fins (L-profile), while the second configuration was obtained from randomly positioned perforated L profiles. The first approach was found to be less efficient than the second one, so it was not further analysed. Main issue with the first configuration was related to its low efficiency improvement during periods of lower solar irradiation levels. The second approach, i.e. the modified geometry showed better performance response throughout the insolation spectrum, averaging about 2% in efficiency improvement relative to the total power output for the specific obtained measurement period. Further, with the specific rib geometry proposed, a more intense cooling rate was achieved. Measurements were obtained in November for a geographical location of City of Split, coast side of Croatia. The presented results in this study are useful as they provide deeper insight into the heat transfer phenomena, i.e. the general influence of a passive cooling technique with wind gusts and the limitations it brings. The examined cooling technique showed potential; however, it should be tested on a PV system with a longer measurement period in order to be able to get more precise results, which include longer periods of typical season weather and which could be also useful to determine potential effect of the cooling technique on the PV panel operating lifetime. The main benefit of the proposed passive cooling technique is reflected through more efficient PV systems, and potential increase of the lifetime of PV panels, by lowering their operating temperature. [ABSTRACT FROM AUTHOR]

“Cleaner Production“(CP) is about less and more efficient energy and materials use and the substitution of more harmful products (for the environment and health) by less dangerous ones. CP was the reply of the industry to the call for sustainable development as launched by the WCED (1987) and further elaborated in Rio's Agenda 21 (UN, 1992). During the past 25 years, the concept was put in practice. During this period it changed in scope, methods, and application area. This provided a deeper socio-economic impact to an idea that was originally launched to awaken industry on its environmental responsibilities. This paper provides a review of essentials that contributed to the fundamental changes in CP during the most recent quarter of a century. It takes off with a review of CP definitions illustrating the changes of the content. Changes in scope are exemplified with the increasing importance of “Corporate Social Responsibility” (CSR). This includes that post-modern companies have not only responsibilities on their economic performance and the environment, but should also act on issues including human rights and resources, business ethics, and community involvement. The links between CP and green and circular economy are indicated. The CP approach is increasingly applied outside the industry. CP for sustainable tourism is discussed in more detail but is only an example of the wider application in e.g. agriculture or health services. This widening of contents necessitates more and better-adapted methods supporting the measurement of the CP components. Indicators, assessment strategies, and green accounting are increasingly improved and used more specifically and frequently. This evolution is discussed in a context of a dilution of the original environmental targets in a wider, more societal scope and the transition towards a more responsible, proactive and reliable management of the sectors applying CP. [ABSTRACT FROM AUTHOR]

As China's economy is transforming into a new normal stage, the energy industry is becoming increasingly innovation-driven, which is shown particularly in renewable energy. Given that the green innovation transformation is crucially critical during China's new normal stage, this paper analyzes the direct impact of energy consumption on energy innovation and innovation transformation, and reveals the net effect of green innovation transformation on economic sustainability and energy consumption. Micro and macro empirical evidence are both provided in this paper by implementing two estimation methodologies: fixed effect model and Generalized Method of Moments (GMM) Vector AutoRegression (VAR) approach, respectively. Estimating Chinese micro 153 listed energy companies' data and macro 30 provincial data from 2009 to 2016, we find that: (1) In terms of energy enterprises' innovation activity behavior, energy consumption could promote total energy innovation, of which renewable energy innovation is stimulated far more significantly. (2) There is an increasing tendency for energy structure to transform into renewables as the energy consumption increases. (3) The green innovation transformation, instead of total innovation counts, can reduce energy consumption and benefit economic sustainability. Therefore, the structure of innovation transformation plays more significant role than total energy innovation in stimulating economic growth, and alleviating the energy consumption antinomy during China's new normal stage. In this regard, in order to stimulate green energy transformation, government should implement financing policy, reduce administrative intervention, upgrade energy legal system and improve energy pricing mechanism to encourage more research and development (R&D) activities at the core of renewable energy. • Provide evidence from both micro- and macro-economic perspectives. • Energy consumption stimulates renewable energy innovations more. • Transformation towards renewables is driven by high energy consumption. • Green innovation transformation decreases energy consumption in the long run. • Green innovation transformation benefits economic sustainability. [ABSTRACT FROM AUTHOR]

Today Landscape elements have been recognized as contributors to the physical quality of urban environments. More recently, they are considered as valuable contributors in increasing the property values, creating a place attractiveness, offering job opportunities, giving sense of social belonging, improving the public health, creating sustainable urban environment and improving the overall quality of life. The present research aims to use landscape elements in enhancing the urban environments by integrating these elements with renewable energy devices and creating Energy-scape elements. The research explores the impact of Energy-scape elements upon time, area, money and power produced by conducting two marketing survey cover the properties of landscape elements and renewable energy devices. This paper shows that landscape elements can be integrated with renewable energy devices and create Energy-scape elements, it also identifies Energy-scape elements and present its properties and measure its efficiency by applying it on a case study. A comparison between energy consumption before using Energy-scape elements and after using Energy-scape elements will also be presented. Energy-scape elements will help in reducing the growth of the global environmental problems such as ozone depletion and climate change and will help the 3rd world countries to develop since that the energy is the skeleton of any development. The objective of this research is to help landscape designers to understand the benefits of Energy-scape elements and to identify the type and location of Energy-scape system that can be used in their projects. The outcome is divided into two parts; theoretical outcome and empirical outcome. The theoretical outcome presents a database for the properties of Energy-scape elements that occurs from integrating landscape elements with different renewable energy sources. While, the empirical outcome presents a pilot project using Energy-scape elements and presents comparison between energy consumption before and after using Energy-scape elements. [ABSTRACT FROM AUTHOR]

Increased competition and reduced profit margins are pushing manufacturing plants to find ways to improve operational efficiency and reduce costs. At the same time, government incentives and community initiatives are encouraging the industrial sector to pursue sustainability in operation and energy consumption. This has introduced a paradigm shift where the focus of plant operation is moving from solely cost reduction to one that considers asset management, emission control, and utilization of alternative energy resources. Mathematically speaking, the problem is changing from a single objective optimization to one with multiple objective functions that may at times be contradictory. The focus of this paper is to propose a methodology for management of an industrial plant considering the above factors. It is assumed that the plant is equipped with distributed generation (DG), and can also participate in demand response (DR). Further, the effect of ambient temperature on the lifetime and available capacity of assets such as the plant transformer has been taken into account and incorporated into their daily schedule. The objective is then to find an optimal solution for operating various workstations in such a way that it minimizes the operational costs, the emissions produced, and the loss of life of assets exposed to excess temperatures. A multi-objective optimization problem is therefore formulated through extended lexicographic goal programming, which is further modified to ensure Pareto optimality. A case study has also been presented for a manufacturing plant for luxury vehicle cockpit assembly line. [ABSTRACT FROM AUTHOR]

The potential for energy efficiency and for the deployment of renewable energy at universities is substantial, and they represent promising ways to meet an institution's energy needs on the one hand, without a large climate burden on the other. However, in order to achieve successful investment and results, it is imperative to understand the level of current commitment to energy actions. Therefore, this paper investigates the level of engagement in energy efficiency measures of a sample of 50 higher education institutions from round the world, and identifies which types of renewable energy are being used to date. Results show that in more than half of the universities only a small portion of energy consumption comes from renewable sources (1%–20%) and solar/photovoltaics is the most used source (70%). Investment in energy efficiency is more common in the sample, with 54% of the universities reporting higher levels of engagement, mainly in buildings (78%) and equipment/machineries (56%). Departing from the assumption that sustainable energy use is a pre-condition for campuses to pursue sustainability, the paper identifies current deficiencies and discusses improvements in this key area, with experiences which may be replicable elsewhere. • Renewable energy accounts as minor part of the energy usage in most universities. • Solar/photovoltaic energy applications are the most common modalities of renewable energy used at HEIs. • Buildings and equipment have been identified as the primary areas where energy efficiency improvements are needed. •. A positive correlation between engagement in energy efficiency and investments in renewable energy was observed. • There is much room for improvements in what universities can do to enhance their energy efficiency. [ABSTRACT FROM AUTHOR]

The design of low-carbon energy systems towards sustainable cities requires correctly quantifying uncertainties in future climate variations, since they affect both energy demand of urban cities and energy system performance. However, quantifying climate uncertainties is challenging due to the stochastic and unpredictable nature of future climate events. This paper develops a novel and general framework to quantify climate uncertainties for urban energy system design using scenario-based stochastic optimization. Climate models are coupled with building performance simulation to generate scenarios for uncertainty quantification and energy system optimization. We apply this optimization framework to US cities for demonstration. We find that climate uncertainties in renewable generation and energy demand can lead to significant performance differences in urban energy systems. Neglecting climate uncertainties results in an optimistic energy system; however, it is unable to provide stable power supply to urban cities. Moreover, we observe that maintaining a certain degree of grid integration is beneficial for urban energy systems and can alleviate the economic burden of urban cities. Finally, we provide some valuable insights on urban energy systems for system designer and policymakers. The designers should fully consider uncertainties associated with various climate events during system design and deploy proper backup systems in case of contingency. The policymakers should thoroughly account for climate uncertainties and their resulting costs when stipulating energy policies for promoting low-carbon energy systems. Both designers and policymakers need to cooperate together and coordinate their actions on urban energy systems towards sustainable cities. • The uncertainties in climate change are quantified using stochastic scenarios. • A novel stochastic optimization framework is proposed for urban energy system design. • Neglecting climate uncertainties results in optimistic energy systems that suffer from loss of load. • Valuable insights on urban energy systems are provided for both designers and policymakers. [ABSTRACT FROM AUTHOR]

In this paper, we used the logarithmic mean Divisia index method to investigate the impact of urbanization on renewable energy consumption growth (RECG). The growth in renewable energy consumption is attributed to the urbanization effect, energy mix effect, energy intensity effect, economic effect, and population effect; RECG can be roughly divided into the slow growth stage, the fluctuant growth stage, and the accelerated growth stage. The results showed that the energy mix effect, economic effect, and population effect positively affected RECG. However, a significantly negative relationship was found between energy intensity and RECG. Furthermore, the contribution of urbanization differed in RECG stages, and urbanization contributed more to the total energy consumption growth than to RECG. This study would thus provide policymakers with insights about the link between urbanization and renewable energy consumption. [ABSTRACT FROM AUTHOR]

With around 40% of the population without access to electricity but also a high penetration of solar home systems in its off grid areas, the case of Bangladesh is a very strong reference for the applicability of the Sustainable Energy Access for All (SE4A) goals. Nonetheless, while the solar home system program with 3.6 million systems has gained worldwide recognition, there are considerable limitations in the usage of such systems, in particular in the ability to provide access to higher tier energy services for productive use. Minigrids, on the other hand, could provide this access but have yet to proof both scale and commercial viability. This paper provides critical insides into the case of Bangladesh for a cost-effective route to the SE4All goals by applying practical and resource-efficient minigrid design principles. Planning and operation techniques are elaborated on in detail and concluded with a financial analysis for a hybrid solar-PV-Diesel minigrid that provides enhanced energy access in particular for productive use. In addition, implications on the business model are highlighted for developing minigrids in off grid rural areas of Bangladesh for hybrid minigrids ranging from 100 to 250 kWp while exemplarily showing how the three goals of the United Nation Sustainable Energy for All Initiative can be pursued in a mutually beneficial way. [ABSTRACT FROM AUTHOR]

This paper examines the nexus between renewable energy consumption (REC) and Gross Domestic Product (GDP) in G7 countries. To this end, we analyse data from 1980 to 2020 employing Toda and Yamamoto (1995) time causality test, Lemmens et al. (2008) frequency causality test and Hatemi-J's (2012) asymmetric causality approach. The findings differ across countries and are as follows. The conservative hypothesis is validated for the US and Canada. Specifically, we find significant and positive causal effect from GDP to REC in the long-term horizons (periods greater than 15 years for the US and 7 years for Canada). The growth hypothesis is confirmed for Germany. Precisely, significant and positive causal impact is shown from REC to GDP in the long-run horizons (periods longer than 7 years). The neutrality hypothesis is supported for France, the UK, Italy and Japan as there is no significant causal link at any time horizon. This is likely because the clean energy consumption does not reach a threshold beyond which it will start to have considerable interaction with economic growth. This study provides policymakers a better understanding of the REC-economic growth nexus to formulate appropriate policies. • We examine the nexus between renewable energy consumption and economic growth in G7 countries. • We use Toda and Yamamoto (1995) and Lemmens et al. (2008) tests and Hatemi-J's (2012) asymmetric causality approach. • For the US and Canada, significant and positive causal effect is shown from GDP to REC in the long-term horizons. • For Germany, significant and positive causal impact is displayed from REC to GDP in the long-run horizons. • For France, the UK, Italy and Japan, no significant causal link is found between REC and economic growth. [ABSTRACT FROM AUTHOR]

The main aim of this paper is to analyse whether the adoption of sustainable energy systems improves corporate financial performance. To this end, we obtained data from a sample of 574 multinational companies from 36 countries in the 2008–2013 period. On this data we implement a dynamic system panel data method. Our findings show that the adoption of sustainable energy systems allows firms to improve their short-term corporate financial performance while not leading them to reduce their corporate financial performance in the long term. Specifically, our results indicate that an increase in energy efficiency and the use of renewable energy sources do not significantly affect corporate financial performance. Neither does the integration of energy efficiency systems and renewable energy sources have any significant influence on corporate financial performance, while the level of implementation of sustainable energy management systems has a significant effect on short-term, but not long-term, corporate financial performance. Furthermore, other control variables, such as research and development expenditure and year, are also relevant in explaining firms’ financial performance. The adoption of sustainable energy systems helps to improve corporate financial performance in the short-term but has no affect in the long-term. This might be because the monitoring of energy efficiency using key performance indicators allows firms to detect and correct failures in the production process and hence improve short-term financial performance. However, this measure does not generate competitive advantages for firms and therefore has no effect on long-term corporate financial performance. From a scientific perspective of energy, this paper contributes to the literature by providing a detailed explanation of how the adoption of sustainable energy systems proposed by Peura (2013) influences corporate financial performance on the basis of new empirical evidence. These explanations provide a strong rationale for improving the efficient use of energy and harvesting low hanging fruits in the short term from a managerial perspective. Policymakers should encourage firms to align sustainable energy systems with their core business strategy by developing green technologies that allow them to acquire rare and valuable capabilities and abilities, which generate competitive advantage, and therefore allow firms to increase their long-term corporate financial performance. [ABSTRACT FROM AUTHOR]

Biofuel manufacturing from renewable biomass through a smart manufacturing system is an important alternative to fossil fuels, which helps to decrease dependability on conventional fuel and decrease carbon emanations. By utilizing efficient labors, smart machines, and minimized energy utilization, the conventional biofuel manufacturing framework can be converted into a smart sustainable manufacturing framework. The existing conventional fuel demand can be replaced by biofuel. This study efforts to make pure biofuel with less amount of carbon emanations and energy utilization through a smart multi-type biofuel manufacturing framework, where the demand of the biofuel is selling price dependent. The different energy costs including air handling cost, lighting cost are calculated in this work-in-process inventory. The carbon emissions cost is included in every stage of this model. A variable demand has introduced for the maximization of profit. To reduce energy consumption and carbon emissions, a two-stage inspection cost with a variable manufacturing rate is taken to make the manufacturing process flexible such that the amount of impure biofuel is minimized. Although a random manufacturing rate is applied through a smart manufacturing system, still impure biofuel is manufactured. The impure biofuel is remanufactured again through refining just after the well-planned manufacturing ends. In this model, the multi-delivery technique is used such that a fixed amount of biofuel of n segments of the pure biofuel is transported to market places at predetermined intervals at the time of delivery frame. The classical optimization technique is used for continuous and differentiable variables and the mixed integer programming technique is utilized for discrete variables to maximize the total profit globally. To validate the model's usefulness, four numerical observations are studied. It is shown that by utilizing the said procedure, the percentage of impure biofuel can be decreased truly through the minimized energy consumption. The graphical representation and the sensitivity experiment show the impact of every parameter with the whole cost of the research paper. Numerical results assist to get the maximum profit and the optimum selling price of biofuel globally in a sustainable smart multi-type biofuel manufacturing system. [Display omitted] [ABSTRACT FROM AUTHOR]

Women empowerment is counted as the fifth sustainable development goal known as gender equality (SDG 5), and it is affected by many factors. In East Sumba, renewable energy development as the seventh sustainable development goal (SDG 7: Affordable and clean energy) provides opportunities and challenges in empowering women. Rural microfinance institutions (MFIs) enable women to increase their empowerment by managing energy. This paper explores the direct and indirect (mediated) effect of renewable energy on women's empowerment via green MFIs. We employed Partial Least Squares-Structural Equation Model (PLS-SEM) with bootstrapping technique and Sobel test to perform the mediating effect. The findings showed the direct relationship of renewable energy on green MFIs and provided empirical evidence on the mediating effect of green MFIs. It confirms green MFIs sustainably, which operates based on the integration model of gender mainstreaming in the renewable energy sector. The results imply that the pro gender policy of local government in response to the availability of renewable energy supported by developing green MFIs. • Green microfinance institutions' transformation supported by renewable energy. • Green microfinance institutions enhance women's empowerment. • Green microfinance institutions mediate energy and gender integration. • Green microfinance institutions support pro gender policy. • There is a spillover effect from clean energy utilization on gender equality. [ABSTRACT FROM AUTHOR]

The mitigation of climate change is the main issue for environmental policymakers. A large number of authors analysed the impact of various factors on greenhouse gas (GHG) emissions. In this paper, we proposed a multiplicative approach to use 2- and 3-way interactions simultaneously in order to analyse the effects of energy efficiency, renewable energy and sector mix as the moderators that shape the economic activity – environmental degradation nexus. The results encompassing global panel data show that the turning point increased from 1990 to 1995 to 2002–2007 and decreased afterwards. Considering the analysis of moderators, a high share of agriculture and industry sectors make the curve flat with a positive slope and a high level of economic activity was associated with more GHG emissions with no turning point. The marginal effect of energy efficiency to reduce the negative impact of agriculture and industry sectors was growing. Meanwhile, the marginal effect of renewables to reduce the negative impact of agriculture and industry sectors was diminishing. Service sector and energy efficiency, service sector and renewables worked as the substituting forces reducing GHG emissions with a diminishing marginal rate of substitution. Therefore, this study confirms that the economic activity – environmental degradation relationship is very complex and further studies should consider the role of the moderators of this nexus. [Display omitted] • Technique, composition effects should be considered as moderators of HGH emissions. • The multiplicative approach was applied to model interactions of GHG factors. • Agriculture, industry sectors made the economic activity GHG emissions curve flat. • Marginal effect of renewables to reduce GHG emissions was diminishing. • Service sector and renewables worked as substituting forces reducing emissions. [ABSTRACT FROM AUTHOR]

Among the main components of a smart city, the energy system plays a vital and core role in the transition towards a sustainable urban life. Furthermore, the utilization of renewable energy sources has been demonstrated as a significant contribution to reducing pollutant emissions and enhancing the quality of the living environment. Therefore, designing the energy systems based on clean and renewable criteria is considered a sustainable solution for smart cities. Indeed, the deep and rapid penetration of renewable energy-based technologies have been believed to very well fit into a smart city under various scales, this could supply a secure basis for a modern society with a low-carbon economy. In this review paper, the main components and roles of renewable energy resources (such as solar, wind, geothermal, hydropower, ocean, and biofuels) for the smart city were fully introduced. Besides, integrating the renewable sources form into the energy systems of smart cities was thoroughly analyzed on the basis of technical and economic criteria. Finally, existing challenges and future scenarios were also discussed in detail to clarify the progress and perspective of smart renewable energy systems for the smart city. In general, the integration of renewables into energy systems of the smart city is a sagacious perspective and solution aiming to achieve cleaner process and more sustainable development. However, the optimization issues of the energy system for integrating of renewable components, ensuring good stability, maximizing the operating range, and minimizing the investment costs should be critically evaluated in the future works. • Designing tools and key criteria for smart renewable energy systems. • Efficiency and prospect of integrating renewables into energy system for smart city. • Existing problems and challenges for renewable-based energy system in smart city. • Future scenarios for the sustainable development of energy system in smart city. [ABSTRACT FROM AUTHOR]

The main objective of this review paper is to present the historical development, current utilization, practices and opportunities of geothermal energy in Algeria. Algeria has relatively abundant geothermal resources of low-enthalpy type that could form part of the total energy network of the country. Algeria is the leading country of the direct use of geothermal energy in Africa with a total amount reaching 54.64 MW t installed thermal power, and also among the first five countries in the world in air conditioning application. The main utilization field of geothermal energy in Algeria is balneology, which accounts for about 82% of the total geothermal power utilization, the remaining 18% of the energy is consumed for other purposes such as space heating, heat pumps and fish farming. In this study, the existing literature and current practices of the Algeria's geothermal resources are reviewed and it is revealed that geothermal energy development remained almost stagnant over the past two decades in Algeria although there is a large potential and resources available in the country. Furthermore, geothermal energy use and latest technologies around the world have been summarized. This study elucidates the influencing factors in the development of geothermal energy in Algeria and suggests the development roadmap and a number of measures that can enhance the development of this significant energy source. • Previous researches on geothermal energy in Algeria are reviewed. • Geothermal energy utilization and advanced technologies around the globe are summarized. • Current geothermal energy utilization in Algeria is discussed. • Exploitation opportunities of geothermal energy in Algeria are addressed. • Countermeasures to promote geothermal energy development in Algeria are proposed. [ABSTRACT FROM AUTHOR]

Anaerobic digestion (AD) is one of the most popular renewable energy technologies. The AD process produces sustainable energy using various low-cost wastes. Although AD technology is widely used, its low biodegradation efficiency and poor stability limit its commercial application. The use of additives has been shown to offer marked improvements in AD performance. However, in practice, the use of additives in AD is not fully understood. In this review, the principles and achievements of additives (including metal elements, carbon-based accelerants, biological additives, and alkali addition) promoting AD performance are summarized. The review also discusses the issues and development trend of each additive. There are still many challenges associated with using additives in AD systems owing to significant variations in digestion substrates and AD operational procedures. The dosage and types of additives have a great influence on the efficiency of AD, which mainly depend on the substrate. Moreover, the implementation process of each additive is not perfect. Therefore, it is essential to better utilize additives to promote AD performance according to the merits of each material. The application of composite additives requires further exploration to optimize the implementation process. This paper deepens our understanding of flexible additives in the AD process and provides comprehensive information that can be used to promote renewable clean energy. [Display omitted] • Additive provides a valuable method to increase biogas production. • The type and dosage of additives have a great influence on the efficiency of AD. • The selection of additives for AD system depends on the substrate of AD system. • The combination of different additives is a future trend. [ABSTRACT FROM AUTHOR]