Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144946
Adeel Riaz, Zia Ullah, Shujahat Haider Hashmi
Recently, there has been growing concern about the impact of uncertainties in the energy market as it undergoes a transition from traditional fossil fuels to renewable energy sources. This necessitates an investigation of how recently developed energy-related uncertainty influences renewable energy consumption from different sources. Therefore, the present study investigates the dynamic effect of the newly developed energy-related uncertainty index on renewable energy consumption in the US by employing the TVP–SV–VAR model, as this understanding can inform effective policy measures. Our findings indicate that the relationship between energy-related uncertainty and renewable energy consumption from different sources changes dynamically over time. While most renewables experienced negative shocks in the short term, wind energy remained resilient due to technological advancements and government incentives during the period. Solar energy also demonstrated resilience to the shocks from the energy-related uncertainty in comparison to the traditional sources of energy, e.g., geothermal, hydro, and biofuels in the short, medium, and long term during the post COVID-19 times, highlighting the era of expansion for solar energy consumption. In the medium term, wind energy consumption declined, reflecting market uncertainties driven by the 2008 financial crisis and inconsistent policy support. Between 2009 and 2017, global energy policy shifts contributed negatively for the renewables, both in the short and long term. Post-2020, geothermal and hydro energy showed a long-term negative trend in response to the uncertainty shocks. These findings suggest policymakers should encourage the adoption of solar and wind energy in the wake of increasing uncertainty in the energy sector.
{"title":"A temporal exploration of resilience of renewable energy consumption to the energy-related uncertainty shocks in the US","authors":"Adeel Riaz, Zia Ullah, Shujahat Haider Hashmi","doi":"10.1016/j.jclepro.2025.144946","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144946","url":null,"abstract":"Recently, there has been growing concern about the impact of uncertainties in the energy market as it undergoes a transition from traditional fossil fuels to renewable energy sources. This necessitates an investigation of how recently developed energy-related uncertainty influences renewable energy consumption from different sources. Therefore, the present study investigates the dynamic effect of the newly developed energy-related uncertainty index on renewable energy consumption in the US by employing the TVP–SV–VAR model, as this understanding can inform effective policy measures. Our findings indicate that the relationship between energy-related uncertainty and renewable energy consumption from different sources changes dynamically over time. While most renewables experienced negative shocks in the short term, wind energy remained resilient due to technological advancements and government incentives during the period. Solar energy also demonstrated resilience to the shocks from the energy-related uncertainty in comparison to the traditional sources of energy, e.g., geothermal, hydro, and biofuels in the short, medium, and long term during the post COVID-19 times, highlighting the era of expansion for solar energy consumption. In the medium term, wind energy consumption declined, reflecting market uncertainties driven by the 2008 financial crisis and inconsistent policy support. Between 2009 and 2017, global energy policy shifts contributed negatively for the renewables, both in the short and long term. Post-2020, geothermal and hydro energy showed a long-term negative trend in response to the uncertainty shocks. These findings suggest policymakers should encourage the adoption of solar and wind energy in the wake of increasing uncertainty in the energy sector.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144795
Andrea Gatto, Alina Cristina Nuta, Rob Kim Marjerison
This study contemplates if hydrogen could be used instead of lithium as a primary energy source. To this end, the paper examines the existing literature and investment options to elicit foreseeable business and policy alternatives from circular economy, sustainability and justice perspectives. Currently, hydrogen is mainly used in the transportation sector due to the size of the fuel cells. Still, the inquiry shows the advantages of hydrogen over lithium as a power source, where a primary asset is the time required to refill the tanks. The main conclusion is that lithium, such as hydrogen, can be used in the long run for electromobility under certain circumstances. However, both technologies have advantages and disadvantages. Future research must be evaluated regarding recycling since there is not enough sufficient data yet. Lithium development will be a driver for meeting sustainable, just, and circular economy goals.
{"title":"Sustainable, just and circular decarbonization from lithium and hydrogen production","authors":"Andrea Gatto, Alina Cristina Nuta, Rob Kim Marjerison","doi":"10.1016/j.jclepro.2025.144795","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144795","url":null,"abstract":"This study contemplates if hydrogen could be used instead of lithium as a primary energy source. To this end, the paper examines the existing literature and investment options to elicit foreseeable business and policy alternatives from circular economy, sustainability and justice perspectives. Currently, hydrogen is mainly used in the transportation sector due to the size of the fuel cells. Still, the inquiry shows the advantages of hydrogen over lithium as a power source, where a primary asset is the time required to refill the tanks. The main conclusion is that lithium, such as hydrogen, can be used in the long run for electromobility under certain circumstances. However, both technologies have advantages and disadvantages. Future research must be evaluated regarding recycling since there is not enough sufficient data yet. Lithium development will be a driver for meeting sustainable, just, and circular economy goals.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"61 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144932
Albert Pujol, Mads Heuckendorff, Thomas H. Pedersen
Direct Air Capture (DAC) technologies are anticipated to achieve megaton-scale by 2030 and gigaton-scale by 2050. However, current capture costs and pace of development cast doubt on DAC's readiness to contribute to the environmental goals in the 2030s. This study introduces an innovative framework to reduce capture costs and facilitate the widespread deployment of DAC technologies. First, an extensive review of the current state of DAC deployment is conducted, followed by an analysis of the DAC market outlook. Secondly, the methodology involves the techno-economic assessment of our case study, the integration of absorption-based DAC systems with the urea manufacturing process (DAC-to-urea). This leads to the formulation of two First-of-a-kind (FOAK) DAC-urea designs based on process intensification. The initial focus is to demonstrate the technical and economic feasibility of the proposed concepts. FOAK costs are projected into the future by outlining distinct deployment scenarios using the learning rates principle. Estimates from the optimistic deployment case indicate that low renewable electricity prices and ambitious learning rates lead to competitive DAC-based urea prices (611-726 $/t urea), while achieving promising capture costs (154-263 $/tCO₂). In that context, renewable ammonia generation acts as the primary bottleneck for sustainable urea production employing air-captured CO₂. This outcome strengthens DAC-CO₂ role as a chemical feedstock for high-demand commodities in future sustainable economies. However, results derived from the delayed deployment scenarios (280-560$/tCO2) align with innovative cost assessment approaches from the literature. Findings highlight the dependency of DAC cost predictions on elevated learning rates and immense increases in capacity.
{"title":"Techno-economic analysis of two novel Direct air capture-to-urea concepts based on process intensification.","authors":"Albert Pujol, Mads Heuckendorff, Thomas H. Pedersen","doi":"10.1016/j.jclepro.2025.144932","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144932","url":null,"abstract":"Direct Air Capture (DAC) technologies are anticipated to achieve megaton-scale by 2030 and gigaton-scale by 2050. However, current capture costs and pace of development cast doubt on DAC's readiness to contribute to the environmental goals in the 2030s. This study introduces an innovative framework to reduce capture costs and facilitate the widespread deployment of DAC technologies. First, an extensive review of the current state of DAC deployment is conducted, followed by an analysis of the DAC market outlook. Secondly, the methodology involves the techno-economic assessment of our case study, the integration of absorption-based DAC systems with the urea manufacturing process (DAC-to-urea). This leads to the formulation of two First-of-a-kind (FOAK) DAC-urea designs based on process intensification. The initial focus is to demonstrate the technical and economic feasibility of the proposed concepts. FOAK costs are projected into the future by outlining distinct deployment scenarios using the learning rates principle. Estimates from the optimistic deployment case indicate that low renewable electricity prices and ambitious learning rates lead to competitive DAC-based urea prices (611-726 $/t urea), while achieving promising capture costs (154-263 $/tCO₂). In that context, renewable ammonia generation acts as the primary bottleneck for sustainable urea production employing air-captured CO₂. This outcome strengthens DAC-CO₂ role as a chemical feedstock for high-demand commodities in future sustainable economies. However, results derived from the delayed deployment scenarios (280-560$/tCO<sub>2</sub>) align with innovative cost assessment approaches from the literature. Findings highlight the dependency of DAC cost predictions on elevated learning rates and immense increases in capacity.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"25 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144947
Agnieszka Wiśniewska
This study investigates the complex relationship between consumer attitudes towards sustainability issues and their behavioral intentions, with a focus on the food market. The purpose of this study is to validate a 3x3 item scale scheme for attitudes towards sustainability that captures its complex structure and aligns with sustainable development pillars. Additionally, the study aims to assess the importance of attitudes toward sustainability, measured with this scale in predicting behavioral intentions within the investigated context, ensuring its applicability in models with multiple variables. A commonly observed attitude-behavior gap is also addressed. A quantitative survey was conducted with 600 Polish consumers. The results indicate a significant link between attitudes towards sustainability and green consumer intentions, further strengthened by the mediating role of trust. The consistency of this relationship across demographic groups was assessed using the Chi-squared Automatic Interaction Detector method. Incorporating this scale into future research, alongside other explanatory variables, allows for the identification of factors that differentiate consumers with attitude-behavior inconsistencies from green consumers, thereby facilitating the effective addressing of existing barriers to translating attitudes into expected behavior.
{"title":"Attitude Towards Sustainability as a Predictor of Consumer Behavioral Intention. A Test of 3x3-item Scale in the Context of the Food Market","authors":"Agnieszka Wiśniewska","doi":"10.1016/j.jclepro.2025.144947","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144947","url":null,"abstract":"This study investigates the complex relationship between consumer attitudes towards sustainability issues and their behavioral intentions, with a focus on the food market. The purpose of this study is to validate a 3x3 item scale scheme for attitudes towards sustainability that captures its complex structure and aligns with sustainable development pillars. Additionally, the study aims to assess the importance of attitudes toward sustainability, measured with this scale in predicting behavioral intentions within the investigated context, ensuring its applicability in models with multiple variables. A commonly observed attitude-behavior gap is also addressed. A quantitative survey was conducted with 600 Polish consumers. The results indicate a significant link between attitudes towards sustainability and green consumer intentions, further strengthened by the mediating role of trust. The consistency of this relationship across demographic groups was assessed using the Chi-squared Automatic Interaction Detector method. Incorporating this scale into future research, alongside other explanatory variables, allows for the identification of factors that differentiate consumers with attitude-behavior inconsistencies from green consumers, thereby facilitating the effective addressing of existing barriers to translating attitudes into expected behavior.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"55 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144950
Yuanke Zhao, Guoqing Shi, Zachary Lowell
Insufficient use and consumption of clean energy is one of the key factors hindering China's current efforts to achieve the goals of carbon peaking and carbon neutrality. To clarify the intrinsic representation of residents' willingness to consume clean energy is crucial for promoting the development of clean energy transition. "Production-Living-Ecology" (PLE), as a integrated concept describing human activities and regional development, provides a fresh perspective to understand a just energy transition. However, this topic remains under-explored in the literature. This study utilises the extended expectancy value theory to construct a research model from the perspectives of PLE transition adaptation and willingness to consume clean energy (WCEC) in 12 villages, counties, and cities in Jiangsu Province, China. Then 535 valid questionnaires were empirically analysed through logistic regression and structural equation modelling. The results show that the increase of income (coefficients=-0.182) and residence level (coefficients=-0.117) has a significant negative impact on residents' WCEC. PLE transition adaptation positively affects residents' WCEC, in which living transition adaptation has the greatest influence (coefficients=0.497), followed by production transition adaptation (coefficients=0.449) and ecology transition adaptation (coefficients=0.009). The perceived value of clean energy consumption (coefficients=0.301) and the perceived clean energy policy (coefficients=0.315) had multiple mediating effects between PLE transition adaptation and residents' WCEC. Meanwhile, pro-social behaviours positively moderated residents' WCEC. These findings contribute to the understanding of residents' intrinsic WCEC, which in turn guides residents towards clean energy use for just energy transformation development.
{"title":"\"Production-living-ecology\" transition adaptation and willingness to consume clean energy: Evidence from Jiangsu Province, China","authors":"Yuanke Zhao, Guoqing Shi, Zachary Lowell","doi":"10.1016/j.jclepro.2025.144950","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144950","url":null,"abstract":"Insufficient use and consumption of clean energy is one of the key factors hindering China's current efforts to achieve the goals of carbon peaking and carbon neutrality. To clarify the intrinsic representation of residents' willingness to consume clean energy is crucial for promoting the development of clean energy transition. \"Production-Living-Ecology\" (PLE), as a integrated concept describing human activities and regional development, provides a fresh perspective to understand a just energy transition. However, this topic remains under-explored in the literature. This study utilises the extended expectancy value theory to construct a research model from the perspectives of PLE transition adaptation and willingness to consume clean energy (WCEC) in 12 villages, counties, and cities in Jiangsu Province, China. Then 535 valid questionnaires were empirically analysed through logistic regression and structural equation modelling. The results show that the increase of income (coefficients=-0.182) and residence level (coefficients=-0.117) has a significant negative impact on residents' WCEC. PLE transition adaptation positively affects residents' WCEC, in which living transition adaptation has the greatest influence (coefficients=0.497), followed by production transition adaptation (coefficients=0.449) and ecology transition adaptation (coefficients=0.009). The perceived value of clean energy consumption (coefficients=0.301) and the perceived clean energy policy (coefficients=0.315) had multiple mediating effects between PLE transition adaptation and residents' WCEC. Meanwhile, pro-social behaviours positively moderated residents' WCEC. These findings contribute to the understanding of residents' intrinsic WCEC, which in turn guides residents towards clean energy use for just energy transformation development.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144939
Yuyun Gu, Yadong Wang, Çağatay Iris
Due to newly adopted global sulfur emission limits and designated sulfur emission control areas (SECAs), liner shipping companies invest in green technologies, such as retrofitting vessels with sulfur scrubbers or fuel-switching equipment. Sulfur scrubbers require significant initial investment but allow the use of cheaper heavy fuel oil (HFO) both inside and outside SECAs. Conversely, fuel-switching equipment has lower initial costs but higher fuel costs, as vessels use very low sulfur fuel oil (VLSFO) outside SECAs and marine gas oil (MGO) within SECAs to comply with emission limits. Liner shipping companies optimize sailing speeds both inside and outside SECAs to balance fuel consumption costs and initial investment costs. Typically, liner shipping companies form alliances to choose the optimal green technology, optimize sailing speed, and manage slots within the alliance, considering sulfur emission restrictions and uncertain fuel prices. A mixed-integer nonlinear robust optimization model is formulated, using a polyhedral uncertainty set to represent the uncertain fuel prices. A robust counterpart reformulation method creates a tractable model to obtain optimal solutions. Numerical experiments demonstrate that, compared to deterministic and stochastic models, our robust model significantly reduces profit variation with only a slight decrease in the mean profit value. Moreover, adopting green technologies within a shipping alliance results in a substantial increase in total profit and a notable reduction in sulfur emissions compared to operating independently.
{"title":"Integrated Green Technology Adoption, Ship Speed Optimization and Slot Management for Shipping Alliance under Emission Limits and Uncertain Fuel Prices","authors":"Yuyun Gu, Yadong Wang, Çağatay Iris","doi":"10.1016/j.jclepro.2025.144939","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144939","url":null,"abstract":"Due to newly adopted global sulfur emission limits and designated sulfur emission control areas (SECAs), liner shipping companies invest in green technologies, such as retrofitting vessels with sulfur scrubbers or fuel-switching equipment. Sulfur scrubbers require significant initial investment but allow the use of cheaper heavy fuel oil (HFO) both inside and outside SECAs. Conversely, fuel-switching equipment has lower initial costs but higher fuel costs, as vessels use very low sulfur fuel oil (VLSFO) outside SECAs and marine gas oil (MGO) within SECAs to comply with emission limits. Liner shipping companies optimize sailing speeds both inside and outside SECAs to balance fuel consumption costs and initial investment costs. Typically, liner shipping companies form alliances to choose the optimal green technology, optimize sailing speed, and manage slots within the alliance, considering sulfur emission restrictions and uncertain fuel prices. A mixed-integer nonlinear robust optimization model is formulated, using a polyhedral uncertainty set to represent the uncertain fuel prices. A robust counterpart reformulation method creates a tractable model to obtain optimal solutions. Numerical experiments demonstrate that, compared to deterministic and stochastic models, our robust model significantly reduces profit variation with only a slight decrease in the mean profit value. Moreover, adopting green technologies within a shipping alliance results in a substantial increase in total profit and a notable reduction in sulfur emissions compared to operating independently.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"9 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-04DOI: 10.1016/j.jclepro.2025.144945
Yash Chawla, Katarzyna Chojnacka, Michał Paca, Anna Pudełko, Rafał Weron, Przemysław Zaleski
The widespread adoption of selective kitchen and garden waste processing in closed biogas plants is often hindered by financial feasibility and social acceptance. This study presents a comprehensive cost-benefit analysis of waste processing through wet and dry fermentation, evaluating energy recovery options from combined heat and power and compressed natural gas installations. Drawing on data from a Polish investment project and a novel concept in waste management research – a survey of professional energy forecasters, we provide financial pro- jections until 2035 to guide sustainable decision-making. Our results emphasize the economic viability of bio-based energy recovery technologies, while also highlighting the potential social and environmental benefits. By diverting waste from landfills and recovering energy, biogas plants contribute to both energy transition goals and the broader objectives of sustainable waste management, including improved resource efficiency and reduced reliance on fossil fuels. This study offers practical insights for municipalities and businesses, promoting policies that support public-private partnerships and the long-term viability of renewable energy projects within the circular economy framework.
{"title":"Cost-benefit analysis of a municipal waste management project: Using a survey of professional forecasters to provide reliable projections until 2035","authors":"Yash Chawla, Katarzyna Chojnacka, Michał Paca, Anna Pudełko, Rafał Weron, Przemysław Zaleski","doi":"10.1016/j.jclepro.2025.144945","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144945","url":null,"abstract":"The widespread adoption of selective kitchen and garden waste processing in closed biogas plants is often hindered by financial feasibility and social acceptance. This study presents a comprehensive cost-benefit analysis of waste processing through wet and dry fermentation, evaluating energy recovery options from combined heat and power and compressed natural gas installations. Drawing on data from a Polish investment project and a novel concept in waste management research – a survey of professional energy forecasters, we provide financial pro- jections until 2035 to guide sustainable decision-making. Our results emphasize the economic viability of bio-based energy recovery technologies, while also highlighting the potential social and environmental benefits. By diverting waste from landfills and recovering energy, biogas plants contribute to both energy transition goals and the broader objectives of sustainable waste management, including improved resource efficiency and reduced reliance on fossil fuels. This study offers practical insights for municipalities and businesses, promoting policies that support public-private partnerships and the long-term viability of renewable energy projects within the circular economy framework.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"40 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143124459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-03DOI: 10.1016/j.jclepro.2025.144933
Tuhibur Rahman, M.S. Hossain Lipu, Md. Moinul Alom Shovon, Ibrahim Alsaduni, Tahia F. Karim, Shaheer Ansari
As climate change increasingly threatens global ecosystems and socio-economic stability, transitioning from fossil fuels to renewable energy sources has become a pivotal strategy for mitigating environmental degradation and promoting sustainable development. This article delves into the intricate relationship between climate change and the shift to renewable energy, encompassing solar, wind, biomass, and geothermal sources. It further examines the transformation of power systems, emphasizing the vital roles of energy storage, grid integration, and climate forecasting in establishing climate-resilient energy infrastructure to achieve sustainable development goals. Additionally, the paper evaluates global policy and regulatory frameworks, assessing the effectiveness of international agreements and national strategies in facilitating the renewable energy transition amidst climate uncertainties. The article also provides a comprehensive analysis of the key challenges facing power grids and renewable energy systems, with a focus on grid stability, energy production variability, and infrastructure resilience. Finally, the review highlights future research opportunities to identify critical areas for exploration and underscores the importance of global collaboration in addressing the profound impacts of climate change on renewable energy generation and distribution systems. This work serves as an indispensable resource for policymakers and industry experts, offering insights into the evolving dynamics of climate change and sustainable energy solutions while supporting the pursuit of sustainable development objectives.
{"title":"Unveiling the impacts of climate change on the resilience of renewable energy and power systems: Factors, technological advancements, policies, challenges, and solutions","authors":"Tuhibur Rahman, M.S. Hossain Lipu, Md. Moinul Alom Shovon, Ibrahim Alsaduni, Tahia F. Karim, Shaheer Ansari","doi":"10.1016/j.jclepro.2025.144933","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144933","url":null,"abstract":"As climate change increasingly threatens global ecosystems and socio-economic stability, transitioning from fossil fuels to renewable energy sources has become a pivotal strategy for mitigating environmental degradation and promoting sustainable development. This article delves into the intricate relationship between climate change and the shift to renewable energy, encompassing solar, wind, biomass, and geothermal sources. It further examines the transformation of power systems, emphasizing the vital roles of energy storage, grid integration, and climate forecasting in establishing climate-resilient energy infrastructure to achieve sustainable development goals. Additionally, the paper evaluates global policy and regulatory frameworks, assessing the effectiveness of international agreements and national strategies in facilitating the renewable energy transition amidst climate uncertainties. The article also provides a comprehensive analysis of the key challenges facing power grids and renewable energy systems, with a focus on grid stability, energy production variability, and infrastructure resilience. Finally, the review highlights future research opportunities to identify critical areas for exploration and underscores the importance of global collaboration in addressing the profound impacts of climate change on renewable energy generation and distribution systems. This work serves as an indispensable resource for policymakers and industry experts, offering insights into the evolving dynamics of climate change and sustainable energy solutions while supporting the pursuit of sustainable development objectives.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"39 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-03DOI: 10.1016/j.jclepro.2025.144924
Peikun Su, Xuhui Cong, Liang Wang, Jonas Šaparauskas, Leonas Ustinovičius, Miroslaw J. Skibniewski
Investigation on the synergistic effects of pollution reduction and carbon emission reduction in Zero Waste City (ZWC) clusters can shed light on effective pathways for regional waste management collaboration and can provide new insights into regional pollution reduction and carbon emission synergy. Thus, focusing on the ZWC cluster in Shandong Province, China, this study calculates the pollution reduction and carbon reduction synergies for each city from 2013 to 2022. It also explores the structural characteristics and influencing factors of the spatial network of pollution reduction and carbon reduction synergies within the ZWC cluster. Results show the following: (1) During the research period, the synergistic effect of pollution reduction and carbon reduction is strengthened due to improvements in pure technical efficiency, a reduction in disparities between cities, and the gradual optimization of spatial patterns. (2) Jinan, Qingdao, and Weihai occupy dominant core positions within the collaborative network. The relationship between the provincial capital and the Jiaodong Economic Circle is well-balanced, while the Lunan Economic Circle exhibits a strong outward orientation, although with limited reciprocal feedback. (3) Geographic proximity, public attention, and differences in information technology foster the formation of the spatial relationship network, while government support disparities demonstrate the opposite effect. Economic disparities have a relatively considerable impact on relational promotion, whereas the influence of industrial structure is comparatively negligible. Based on the above conclusions, this study proposes strategies to enhance the synergistic effects of pollution reduction and carbon emission reduction in ZWC clusters by strengthening “zero waste” management and technology application, thereby optimizing the collaborative network of ZWCs and reinforcing multifactor cooperation.
{"title":"Spatial network characteristics and influencing factors of the synergistic effects of pollution reduction and carbon emission reduction in “Zero Waste City” clusters","authors":"Peikun Su, Xuhui Cong, Liang Wang, Jonas Šaparauskas, Leonas Ustinovičius, Miroslaw J. Skibniewski","doi":"10.1016/j.jclepro.2025.144924","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.144924","url":null,"abstract":"Investigation on the synergistic effects of pollution reduction and carbon emission reduction in Zero Waste City (ZWC) clusters can shed light on effective pathways for regional waste management collaboration and can provide new insights into regional pollution reduction and carbon emission synergy. Thus, focusing on the ZWC cluster in Shandong Province, China, this study calculates the pollution reduction and carbon reduction synergies for each city from 2013 to 2022. It also explores the structural characteristics and influencing factors of the spatial network of pollution reduction and carbon reduction synergies within the ZWC cluster. Results show the following: (1) During the research period, the synergistic effect of pollution reduction and carbon reduction is strengthened due to improvements in pure technical efficiency, a reduction in disparities between cities, and the gradual optimization of spatial patterns. (2) Jinan, Qingdao, and Weihai occupy dominant core positions within the collaborative network. The relationship between the provincial capital and the Jiaodong Economic Circle is well-balanced, while the Lunan Economic Circle exhibits a strong outward orientation, although with limited reciprocal feedback. (3) Geographic proximity, public attention, and differences in information technology foster the formation of the spatial relationship network, while government support disparities demonstrate the opposite effect. Economic disparities have a relatively considerable impact on relational promotion, whereas the influence of industrial structure is comparatively negligible. Based on the above conclusions, this study proposes strategies to enhance the synergistic effects of pollution reduction and carbon emission reduction in ZWC clusters by strengthening “zero waste” management and technology application, thereby optimizing the collaborative network of ZWCs and reinforcing multifactor cooperation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"10 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-03DOI: 10.1016/j.jclepro.2025.144896
Christopher Cooper, Geoffrey Brooks, M. Akbar Rhamdhani, John Pye, Alireza Rahbari
Hydrogen thermal plasma has been identified as a possible breakthrough pathway for low-CO2-emission steelmaking, but it remains unclear whether it can be economically competitive with other low-emission alternatives. This study develops a static mass and energy flow model of three plasma-based steelmaking processes, and investigates the performance required to be economically competitive with the more established hydrogen direct reduction – electric arc furnace (HDR-EAF) pathway. The technoeconomic analysis in this paper finds that in some scenarios, plasma processes are cheaper than HDR-EAF steelmaking when using medium-grade ore (59 wt% Fe), primarily due to lower capex and flux requirements. A novel two-stage plasma-BOF pathway achieves the lowest levelised cost of steel in most scenarios. However, when using high-grade ore (65 wt% Fe), HDR-EAF steelmaking achieves a levelised cost of 667 USD/tLS, which is cheaper than single-stage plasma steelmaking at 677 USD/tLS. This finding is sensitive to several assumptions, particularly the plasma smelter efficiency. A minimum plasma-smelter thermal efficiency of 82% is required for cost parity with HDR-EAF steelmaking for medium-grade ore. Partial prereduction of the ore to wüstite via direct reduction provides cost savings when plasma-smelter efficiency is low.
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