Energy & Environment最新文献_第7页

Soiling impact and cleaning techniques for optimizing photovoltaic and concentrated solar power power production: A state-of-the-art review 优化光伏和聚光太阳能发电的污垢影响和清洁技术：最新综述

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241230624

Sara Benyadry, M. Halimi, A. Khouya

{"title":"Soiling impact and cleaning techniques for optimizing photovoltaic and concentrated solar power power production: A state-of-the-art review","authors":"Sara Benyadry, M. Halimi, A. Khouya","doi":"10.1177/0958305x241230624","DOIUrl":"https://doi.org/10.1177/0958305x241230624","url":null,"abstract":"Nowadays, renewable energies are capturing the world's attention, particularly in light of the phenomenon of climate change and carbon dioxide emissions, which have caused major environmental damage. As a result, many investors have recently focused on developing investments in renewable energy projects worldwide, specifically photovoltaic and concentrated solar power plant projects. These solar technologies are considered among the most profitable solutions for generating power from a natural, free, and unlimited energy source. This review paper discusses one of the most significant issues affecting the performance of these solar systems, which is known as soiling. It has been supported by several studies in various nations with different climatic conditions, which offered accurate empirical data on the degradation rate of photovoltaic and concentrated solar power systems’ production due to the soiling effect. Furthermore, it provides various mitigating soiling ways, including manual and autonomous cleaning methods for both solar technologies. Ultimately, it summarizes each cleaning technique's main advantages and drawbacks, specifying its applicability according to the location characteristics and climatic conditions. Additionally, the review results reported in this work are intriguing enough to warrant further development of concentrated solar power and photovoltaic technologies.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"33 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139853170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the long-term relationship between transportation, economic growth, poverty and environmental degradation in Tunisia 突尼斯交通、经济增长、贫困和环境退化之间长期关系的建模

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241228509

Manel Ouni, Khaled Ben Abdallah

{"title":"Modeling the long-term relationship between transportation, economic growth, poverty and environmental degradation in Tunisia","authors":"Manel Ouni, Khaled Ben Abdallah","doi":"10.1177/0958305x241228509","DOIUrl":"https://doi.org/10.1177/0958305x241228509","url":null,"abstract":"The transportation sector plays a crucial role in driving economic development, reducing poverty, and contributing significantly to environmental impacts. While there have been numerous studies exploring the interconnections among transportation, economic development, and environmental degradation, there hasn’t been extensive research on how poverty affects transport-related CO2 emissions in the Tunisian context. This study aims to address this gap by analyzing the complex relationship between poverty, economic growth, energy consumption in road transport, urbanization, trade openness, road infrastructure, and environmental degradation in the Tunisia's transportation sector from 1980 to 2020. To estimate the long-term relationship between these variables, we use the ARDL bounds test approach. The result of VECM Granger causality test indicates a feedback between road infrastructure, road energy consumption, and transport emissions in both the short and long term. Moreover, our study identifies a bidirectional causality between poverty and transport emissions, emphasizing the importance of poverty alleviation strategies that consider environmental consequences. Our research also reveals a feedback between poverty and road transport infrastructure, as well as between transport emissions and economic growth. These results provide a comprehensive overview of the factors influencing CO2 emissions in the transport sector and their relationship with poverty. They offer a valuable insight to the field of energy and environmental studies, serving as guidance to policymakers, researchers, and practitioners engaged in promoting sustainable transportation practices in Tunisia.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139792692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting regional unevenness and influencing factors of ecological resilience in China 检测中国生态恢复力的区域不均衡性及其影响因素

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241230619

Han Hu, Kegao Yan, Houbao Fan, Tiangui Lv, Xinmin Zhang

{"title":"Detecting regional unevenness and influencing factors of ecological resilience in China","authors":"Han Hu, Kegao Yan, Houbao Fan, Tiangui Lv, Xinmin Zhang","doi":"10.1177/0958305x241230619","DOIUrl":"https://doi.org/10.1177/0958305x241230619","url":null,"abstract":"Existing research on the state transition process of ecological resilience (ER) has neglected the ultimate goal of enhancing well-being and lacks theoretical framework support. To address these issues, we have innovatively developed a three-dimensional analysis framework of “resistant, absorptive, and restorative capacity” to measure ER. We also explored the regional unevenness and factors influencing ER at the provincial level in China through spatiotemporal evolution analysis and GeoDetector models. The results indicate that: the ecological resilience of Chinese provinces ranges from 0.415 to 0.596, with all provinces falling into the risk or good areas. Furthermore, a fluctuating and increasing trend is observed. The eastern coastal provinces, such as Beijing and Shandong, comprise predominantly good areas of ecological resilience that are distributed in a band manner, while the western provinces, notably Xinjiang, comprise primarily risk areas distributed in a clustered pattern. The per capita electricity consumption, per capita GDP, and patent applications in high-tech industries are identified as the primary factors influencing the spatiotemporal heterogeneity of ecological resilience, and the interaction effects of each factor have synergistic enhancement effects. Spatial ecological resilience displays certain degrees of “nonhomogeneous” agglomeration and spatial heterogeneity. However, no apparent spatial polarization phenomenon is observed. These findings provide valuable insights for cities aiming to address ecological risks and enhance urban resilience.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"189 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139793773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the long-term relationship between transportation, economic growth, poverty and environmental degradation in Tunisia 突尼斯交通、经济增长、贫困和环境退化之间长期关系的建模

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241228509

Manel Ouni, Khaled Ben Abdallah

{"title":"Modeling the long-term relationship between transportation, economic growth, poverty and environmental degradation in Tunisia","authors":"Manel Ouni, Khaled Ben Abdallah","doi":"10.1177/0958305x241228509","DOIUrl":"https://doi.org/10.1177/0958305x241228509","url":null,"abstract":"The transportation sector plays a crucial role in driving economic development, reducing poverty, and contributing significantly to environmental impacts. While there have been numerous studies exploring the interconnections among transportation, economic development, and environmental degradation, there hasn’t been extensive research on how poverty affects transport-related CO2 emissions in the Tunisian context. This study aims to address this gap by analyzing the complex relationship between poverty, economic growth, energy consumption in road transport, urbanization, trade openness, road infrastructure, and environmental degradation in the Tunisia's transportation sector from 1980 to 2020. To estimate the long-term relationship between these variables, we use the ARDL bounds test approach. The result of VECM Granger causality test indicates a feedback between road infrastructure, road energy consumption, and transport emissions in both the short and long term. Moreover, our study identifies a bidirectional causality between poverty and transport emissions, emphasizing the importance of poverty alleviation strategies that consider environmental consequences. Our research also reveals a feedback between poverty and road transport infrastructure, as well as between transport emissions and economic growth. These results provide a comprehensive overview of the factors influencing CO2 emissions in the transport sector and their relationship with poverty. They offer a valuable insight to the field of energy and environmental studies, serving as guidance to policymakers, researchers, and practitioners engaged in promoting sustainable transportation practices in Tunisia.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139852469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soiling impact and cleaning techniques for optimizing photovoltaic and concentrated solar power power production: A state-of-the-art review 优化光伏和聚光太阳能发电的污垢影响和清洁技术：最新综述

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241230624

Sara Benyadry, M. Halimi, A. Khouya

{"title":"Soiling impact and cleaning techniques for optimizing photovoltaic and concentrated solar power power production: A state-of-the-art review","authors":"Sara Benyadry, M. Halimi, A. Khouya","doi":"10.1177/0958305x241230624","DOIUrl":"https://doi.org/10.1177/0958305x241230624","url":null,"abstract":"Nowadays, renewable energies are capturing the world's attention, particularly in light of the phenomenon of climate change and carbon dioxide emissions, which have caused major environmental damage. As a result, many investors have recently focused on developing investments in renewable energy projects worldwide, specifically photovoltaic and concentrated solar power plant projects. These solar technologies are considered among the most profitable solutions for generating power from a natural, free, and unlimited energy source. This review paper discusses one of the most significant issues affecting the performance of these solar systems, which is known as soiling. It has been supported by several studies in various nations with different climatic conditions, which offered accurate empirical data on the degradation rate of photovoltaic and concentrated solar power systems’ production due to the soiling effect. Furthermore, it provides various mitigating soiling ways, including manual and autonomous cleaning methods for both solar technologies. Ultimately, it summarizes each cleaning technique's main advantages and drawbacks, specifying its applicability according to the location characteristics and climatic conditions. Additionally, the review results reported in this work are intriguing enough to warrant further development of concentrated solar power and photovoltaic technologies.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":" 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139793420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective optimization for visual, thermal, and cooling energy performance of building envelope design in the composite climate of Jaipur (India) 多目标优化斋浦尔（印度）复合气候下建筑围护结构设计的视觉、热能和冷能性能

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241228513

Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba

{"title":"Multi-objective optimization for visual, thermal, and cooling energy performance of building envelope design in the composite climate of Jaipur (India)","authors":"Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba","doi":"10.1177/0958305x241228513","DOIUrl":"https://doi.org/10.1177/0958305x241228513","url":null,"abstract":"Climate-responsive passive envelope features such as windows, louvers, and shading have significant impact on a building's energy and economic performance. This paper presents a multi-objective optimization (MOO) approach to enhance energy, visual and thermal performances of a building by considering a wide range of numerous design possibilities. A residential apartment building located in a semi-arid composite climate (Köppen climate classification: Bsh) of Jaipur, India is considered for the analysis. The multi-objective optimization approach involves three steps: firstly, developing a base simulation model using Rhinoceros software, and then performing multi-objective optimization by Octopus plugin, and finally applying multi-criteria decision-making to select the optimal values of thermal conductivity, window-to-wall ratio of south and west façades, solar heat gain coefficient, visual light transmittance, window sill height, louvers depth, distance between slits, slits angle, external shade depth, and shade (slits) count. The optimized results reported a six-fold Useful Daylight Illuminance (UDI) improvement, 72% cooling energy demand reduction, and 34% thermal comfort enhancement from the worst-case scenario. The presented approach can aid designers in selecting optimal envelope features during building design, refurbishment, and renovation or for green field development.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139792698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-objective optimization for visual, thermal, and cooling energy performance of building envelope design in the composite climate of Jaipur (India) 多目标优化斋浦尔（印度）复合气候下建筑围护结构设计的视觉、热能和冷能性能

Energy & Environment Pub Date : 2024-02-08 DOI: 10.1177/0958305x241228513

Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba

{"title":"Multi-objective optimization for visual, thermal, and cooling energy performance of building envelope design in the composite climate of Jaipur (India)","authors":"Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba","doi":"10.1177/0958305x241228513","DOIUrl":"https://doi.org/10.1177/0958305x241228513","url":null,"abstract":"Climate-responsive passive envelope features such as windows, louvers, and shading have significant impact on a building's energy and economic performance. This paper presents a multi-objective optimization (MOO) approach to enhance energy, visual and thermal performances of a building by considering a wide range of numerous design possibilities. A residential apartment building located in a semi-arid composite climate (Köppen climate classification: Bsh) of Jaipur, India is considered for the analysis. The multi-objective optimization approach involves three steps: firstly, developing a base simulation model using Rhinoceros software, and then performing multi-objective optimization by Octopus plugin, and finally applying multi-criteria decision-making to select the optimal values of thermal conductivity, window-to-wall ratio of south and west façades, solar heat gain coefficient, visual light transmittance, window sill height, louvers depth, distance between slits, slits angle, external shade depth, and shade (slits) count. The optimized results reported a six-fold Useful Daylight Illuminance (UDI) improvement, 72% cooling energy demand reduction, and 34% thermal comfort enhancement from the worst-case scenario. The presented approach can aid designers in selecting optimal envelope features during building design, refurbishment, and renovation or for green field development.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"290 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139852284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Can innovation factor agglomeration enhance the government’s environmental governance capacity? 创新要素集聚能否提升政府的环境治理能力？

Energy & Environment Pub Date : 2024-02-06 DOI: 10.1177/0958305x241230615

Jie Zhang, Jiahui Yang

{"title":"Can innovation factor agglomeration enhance the government’s environmental governance capacity?","authors":"Jie Zhang, Jiahui Yang","doi":"10.1177/0958305x241230615","DOIUrl":"https://doi.org/10.1177/0958305x241230615","url":null,"abstract":"Innovative manpower agglomeration and innovative capital agglomeration provide vitality and guarantees for a country to achieve high-quality development, and the improvement of the government's environmental governance capacity can guarantee the smooth advancement of the country's ecological civilization construction work; thus, it is very important to study the impact of innovation factor agglomeration on the government's environmental governance capacity. Based on this, this article establishes a mediated moderating effect model and a spatial econometric model, adopts the panel data of 30 provinces in China from 2009 to 2020 as an example, and divides innovation factor agglomeration into innovation manpower agglomeration and innovation capital agglomeration to study the relationship between them and the government's environmental governance capacity. The results of the empirical analysis show that (1) both innovation manpower agglomeration and innovation capital agglomeration can significantly promote the improvement of the government's environmental governance capacity. (2) Technological innovation plays a mediating role in promoting the government's environmental governance capacity through innovation factor agglomeration. Voluntary environmental regulation can promote the government's environmental governance capacity, but it attenuates the role of innovation capital agglomeration in promoting the government's environmental governance capacity. (3) Local innovative manpower agglomeration has a significant spillover effect, and innovative manpower agglomeration in neighboring places inhibits the enhancement of local governments’ environmental governance capacity. (4) Innovation capital agglomeration in neighboring places will inhibit the local government's environmental governance capacity, but its effect is much smaller than the promotion effect of local innovation capital agglomeration on the government's environmental governance capacity.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139860782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Can innovation factor agglomeration enhance the government’s environmental governance capacity? 创新要素集聚能否提升政府的环境治理能力？

Energy & Environment Pub Date : 2024-02-06 DOI: 10.1177/0958305x241230615

Jie Zhang, Jiahui Yang

{"title":"Can innovation factor agglomeration enhance the government’s environmental governance capacity?","authors":"Jie Zhang, Jiahui Yang","doi":"10.1177/0958305x241230615","DOIUrl":"https://doi.org/10.1177/0958305x241230615","url":null,"abstract":"Innovative manpower agglomeration and innovative capital agglomeration provide vitality and guarantees for a country to achieve high-quality development, and the improvement of the government's environmental governance capacity can guarantee the smooth advancement of the country's ecological civilization construction work; thus, it is very important to study the impact of innovation factor agglomeration on the government's environmental governance capacity. Based on this, this article establishes a mediated moderating effect model and a spatial econometric model, adopts the panel data of 30 provinces in China from 2009 to 2020 as an example, and divides innovation factor agglomeration into innovation manpower agglomeration and innovation capital agglomeration to study the relationship between them and the government's environmental governance capacity. The results of the empirical analysis show that (1) both innovation manpower agglomeration and innovation capital agglomeration can significantly promote the improvement of the government's environmental governance capacity. (2) Technological innovation plays a mediating role in promoting the government's environmental governance capacity through innovation factor agglomeration. Voluntary environmental regulation can promote the government's environmental governance capacity, but it attenuates the role of innovation capital agglomeration in promoting the government's environmental governance capacity. (3) Local innovative manpower agglomeration has a significant spillover effect, and innovative manpower agglomeration in neighboring places inhibits the enhancement of local governments’ environmental governance capacity. (4) Innovation capital agglomeration in neighboring places will inhibit the local government's environmental governance capacity, but its effect is much smaller than the promotion effect of local innovation capital agglomeration on the government's environmental governance capacity.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"107 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139800784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global impact of geopolitical oil price uncertainty and associated commodity prices on clean energy stocks 地缘政治油价不确定性和相关商品价格对清洁能源股票的全球影响

Energy & Environment Pub Date : 2024-02-01 DOI: 10.1177/0958305x231225303

Oktay Ozkan, Asima Saleem, Nasir Khan, A. Alola

{"title":"Global impact of geopolitical oil price uncertainty and associated commodity prices on clean energy stocks","authors":"Oktay Ozkan, Asima Saleem, Nasir Khan, A. Alola","doi":"10.1177/0958305x231225303","DOIUrl":"https://doi.org/10.1177/0958305x231225303","url":null,"abstract":"Theoretically, geopolitical risk and policy uncertainties can directly affect energy markets. Since fluctuations in it lead to cost the of clean energy sources as they compete with traditional energy. Regarding this, our study aims to scrutinize the impact of geopolitical oil price uncertainty on clean energy stocks by controlling the influences of economic policy uncertainty, gold, natural gas, and coal prices. For that purpose, the study utilized monthly data from July 2007 to September 2020 and employed a machine learning method, namely kernel-based regularized least squares approach. Empirical analysis reveals that geopolitical oil price uncertainty and coal prices have a nonlinear positive effect on clean energy stock prices. It is also found that the impact of global economic policy uncertainty, gold, and natural gas prices on clean energy stock prices is nonlinear and negative. The implication signifies that clean energy stock prices are hampered by economic policy uncertainty, and gold, and natural gas prices, thus hindering the development of clean energy sources. Similarly, for the robustness of the study, the quantile regression approach and findings reveal similar outcomes to that of the KRLS model. Based on these findings, policy implications that potentially aid renewable energy investments are put forward. The study also guides investors, financial advisors, and portfolio managers for better decision-making in consideration of uncertainties and associated fluctuations in energy markets and commodity prices.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"42 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139829452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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Energy & Environment最新文献