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Implementing industrial symbiosis has emerged as a pivotal strategy for establishing eco-industrial parks worldwide to promote sustainable development and optimize resource utilization within industrial parks. However, the present evaluation framework for industrial symbiosis is nascent, which may hinder the ecological development of industrial parks. Therefore, to gauge industrial symbiosis efficacy and infrastructure soundness, we propose a revolutionary evaluation system that amalgamates social network analysis and ecological network analysis methodologies. Our evaluation system is meticulously customized to cater to the distinctive features and analytical requirements of eco-industrial parks and encompasses three primary facets: impact dissemination, sustainability, and resource optimization. To demonstrate the effectiveness of the proposed evaluation system, we conducted a case study of Qinghai Salt Lake industrial park. The findings reveal that the industrial symbiosis level in Qinghai Salt Lake industrial park (QSLIP) improved during 2014–2018. Nevertheless, conventional indicators are unable to pinpoint certain issues, such as deterioration in waste reutilization quality, underscoring the significance and necessity of the indicator system proposed in this study. • This study presents a innovative assessment methodology for eco-industrial parks. • A detailed examination of the Qinghai Salt Lake Industrial Park was undertaken. • A fusion of social network analysis and ecological network analysis was introduced. [ABSTRACT FROM AUTHOR]

Process-related carbon emissions, which cannot be completely eliminated by the improvement of processes and energy structure, are recognized as an enormous challenge for in-depth decarbonization. To accelerate the achievement of carbon neutrality, the concept of 'artificial carbon cycle' is proposed based on the integrated system of process-related carbon emissions from high-emitting industries and CCU technology as a potential pathway towards a sustainable future. This paper conducts a systematic review on the integrated system with the case of China, which is the largest carbon-emitting and manufacturing country, to provide a clearer and more meaningful analysis. Multi-index assessment was used to organize the literature and draw the useful conclusion. Based on literature review, the high-quality carbon sources, reasonable carbon capture approaches and promising chemical products were identified and analyzed. Then the potential and practicability of the integrated system was further summarized and analyzed. Finally, key factors of future development including technology improvement, green hydrogen, clean energy and industrial cooperation were stressed to provide a theoretical reference for future researchers and policy makers. • Demonstration on the rationality and importance of applying CCU technology on process-based carbon emissions. • Multi-index assessment on adoptable carbon sources, possible pathways of carbon capture and carbon conversion. • Analysis on the potential and practicability of the integrated system to accelerate carbon neutrality. [ABSTRACT FROM AUTHOR]

[Display omitted] • Traditional and CDU pathways were evaluated multi-dimensionally. • The MFA-LCA-TEA coupled model was conducted with industrial data in China. • 23 pathways and 7 chemicals were covered for systematic analysis. • Low-carbon strategies increase the comprehensive competitiveness of CDU pathways. • CO 2 emissions and economic growth can be decoupled for sustainable chemical production. Carbon dioxide utilization (CDU) for chemical production is beneficial for achieving carbon neutrality and constructing an artificial carbon cycle. However, the industrialization of CDU technology is facing the concerns about environmental impacts, energy consumption and economic effects. To better illustrate the comprehensive performances of CDU technology and optimize chemical production, this study conducts a multi-dimensional evaluation on CDU and traditional pathways following a scenario-based optimization, which covers 23 pathways for 7 identified bulk chemicals. The results reveal that ethanol is the most suitable chemical to be transitioned preferentially and produced with CDU technology based on China's current technology level. The development of electro-catalytic conversion may benefit CDU pathways especially for oxirane. The results of scenario analysis reveal that the competitivity and priority of various pathways may change significantly with the deployment of low-carbon strategies. Then the results of conditional optimization reveal that the transition of chemical production pattern motivated by CDU may significantly impact on resource consumption and technology proportion, which brings about an increase of 680 % in H 2 consumption. The transition may also decouple the relationship between carbon emissions and economic growth, which drives the production emissions to drop from 193 Mt/year to −27 Mt/year and carbon intensity to drop from 80 t/104 USD to −8 t/104 USD. [ABSTRACT FROM AUTHOR]

The depletion of traditional energy sources and severe environmental pollution are hindrances in meeting the increasing energy demands of the growing global population. Solar photovoltaic (PV) technology has been widely applied in China to replace traditional energy. The factors that affect the development of the PV industry in China are complex. This research sheds light on the development process of the PV industry in China by considering the PV installed capacity as an indicator of industrial development. A quantitative evaluation method was established to assess the PV industry and its influencing factors by developing a driving force model. This model combines the methods of factor quantification and multiple regression analysis by considering demand, market, policy, technology, and enterprise factors. The results show that from 2006 to 2008, policy factors played the most important role accounting for about 50% of the total impact, and since 2009, the impacts of technology and demand factors are more significant in the PV industry from the aspects of supply and demand accounting for 36% and 32%, respectively. The future trends of PV industry are predicted based on the evolution of the influencing factors. If guided by existing policies, the PV installed capacity will stabilize at 403 GW in 2025. The emphasis on energy storage technology in the future will also significantly promote the PV industry enabling it to reach 773 GW, and thereby, reduce about 0.87 billion tonnes of carbon dioxide emissions in that year compared to that with coal-based thermal power generation. This study provides a theoretical basis for multiple factor analysis in the photovoltaic industry and a deeper understanding for policy makers to coordinate the structure of energy generation in China in the future. • A driving force model of China's photovoltaic industry is established. • Factors influencing the annual photovoltaic install capacity and their contributions are determined. • Photovoltaic industry is a good form of industrial development. • Future trends in photovoltaic industry in different scenarios are explored. • Practical policy recommendations are proposed based on factor and trend analysis. [ABSTRACT FROM AUTHOR]