{"title":"Investigations on magnesium ion conducting gellan gum-based biopolymer blend electrolytes for energy storage applications","authors":"Naveen C, Muthuvinayagam Muthiah","doi":"10.1177/0958305x241230621","DOIUrl":"https://doi.org/10.1177/0958305x241230621","url":null,"abstract":"The economical and ecological polymer electrolytes are essential for energy storage devices. The key problem we are trying to resolve is how to improve ionic conductivity and safety in polymer electrolytes, which are essential for energy storage devices to operate effectively. We have prepared biopolymer blend electrolytes with different concentrations of magnesium chloride (MgCl2) by solution casting technique and the prepared electrolytes are investigated. Increase of amorphous nature of the polymer membranes is confirmed by X-ray diffraction analysis. Fourier transform infrared (FTIR) spectroscopy used to define complex formation between salt and polymers. Thermal properties of the electrolytes are confirmed by differential scanning calorimetry technique. The higher ionic conductivity of 1.04 × 10−5 S/cm has been achieved for 8 wt.% MgCl2 mixed gellan gum: polyvinyl alcohol (PVA) polymer blend at the room temperature. The present work highlights the preparation and characterization of gellan gum: PVA: MgCl2 polymer blend electrolytes with enhanced ionic conductivity and safety. The optimized polymer electrolyte is applied for energy storage devices.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"60 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444069","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}
Zhenzhen Feng, Farah Durani, Ahsan Anwar, Paiman Ahmad, Q. Syed, Ali Abbas
{"title":"From brown to green: Are emerging countries moving in right direction? Testing the validity of LCC hypothesis","authors":"Zhenzhen Feng, Farah Durani, Ahsan Anwar, Paiman Ahmad, Q. Syed, Ali Abbas","doi":"10.1177/0958305x241228519","DOIUrl":"https://doi.org/10.1177/0958305x241228519","url":null,"abstract":"Since the United Nations endorsed the sustainable development goals in 2015, emerging economies have faced several issues in meeting the objectives set by the sustainable development goals. Environmental degradation is one of the main issues faced by emerging countries. To overcome this issue and for attaining sustainable development goals, this study is the earliest attempt to examine the asymmetric influence of economic policy uncertainty, renewable energy consumption, and technological innovations on load capacity factor under the framework of the load capacity curve for E-7 countries during 1996–2019. The preliminary tests confirm the absence of data normality; hence, we use panel quantile regression. The findings of the study reveal the presence of a U-shaped load capacity curve hypothesis in E-7 countries including China, Indonesia, Russia, Brazil, Mexico, India, and Turkey. This finding depicts that at an earlier stage, gross domestic product has an adverse influence on environmental quality but after achieving its threshold level, a further increase in gross domestic product growth becomes helping to boost environmental quality. An increase in economic policy uncertainty leads to a decrease in load capacity factor while renewable energy consumption has a favorable impact on load capacity factor to enhance environmental quality. The negative impact of technological innovation is that prevailing technology patterns are not environmentally supportive. Relying on these empirical outcomes current study recommends significant policy measures to achieve the targets of sustainable development goals including SDG 07, SDG 08, SDG 09, and SDG 13 as renewable energy, economic growth, innovations, and climate action, respectively, in E-7 economies.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"427 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140447097","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}
{"title":"Evaluating the waste management greenhouse gas emissions effects of domestic material biomass and raw material productivity consumption in Denmark","authors":"Demet Beton Kalmaz, T. Adebayo","doi":"10.1177/0958305x241232403","DOIUrl":"https://doi.org/10.1177/0958305x241232403","url":null,"abstract":"The planet is currently grappling with ecological upheaval as a consequence of the relentless surge in global warming. In response, the Danish government has undertaken a commitment to environmental decarbonization, setting a goal for the year 2030. This study contributes to these efforts by assessing the extent to which domestic material biomass and raw material productivity consumption impact ecological sustainability in Denmark. This assessment is based on data spanning from 1990 to 2020. Furthermore, the study takes into consideration the additional effects of economic advancement and domestic consumption of fossil fuels. These factors are addressed using a nonlinear auto-regressive distributed lag approach, which captures their respective positive and negative influences. The outcomes of the study affirm that positive (negative) shifts in domestic consumption of biomass and raw materials productivity contribute to increased (decreased) ecological sustainability in Denmark. Similarly, positive (negative) shifts in economic growth and domestic consumption of fossil fuels lead to decreased (increased) environmental sustainability. These conclusions are further substantiated by the causality results in the frequency domain. Drawing from these empirical findings, the study presents various strategies aimed at advancing diverse sustainable development goals, offering potentially beneficial avenues for Denmark's progress.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"258 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448190","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}
{"title":"Renewable energy consumption and its impacts on agriculturalization under climate neutrality targets","authors":"LingYan Wang, Yuezhou Wei, Biqing Li, Shiyong Zheng, Sana Ullah, Sidra Sohail","doi":"10.1177/0958305x241230622","DOIUrl":"https://doi.org/10.1177/0958305x241230622","url":null,"abstract":"Improvements in energy efficiency, cost savings, and environmental advantages are possible effects of adopting and using renewable energy in agriculture. However, whether renewable energy consumption (REC) has any impact on agricultural productivity is a research question that this analysis tries to answer. Previous research neglected to consider the influence of REC on agriculture. The primary objective of the analysis is to analyze the role of REC in sustainable agriculture in Asia, America, Africa, and Europe with the help latest econometric technique of the CS-ARDL model. The findings show that REC and technological capital (TC) improve long-run agriculturalization in the full sample, Asia, Africa, America, and Europe. The results infer that a 1% increase in REC causes agriculturalization to boost by 1.512% in the full sample, 1.254% in Asia, 1.654% in Africa, 0.897% in America, and 1.325% in Europe. In addition, financial development favorably influences long-run agricultural productivity in the full sample, Africa, America, and Europe, and population growth only impacts agricultural productivity in the long run. In contrast, the long-run agricultural productivity is negatively impacted by environmental pollution globally and in Asia. On the other hand, in the short run, TC positively impacts agricultural productivity in all samples, while other short-run estimates are insignificant in most samples. These findings suggest that renewable energy utilization may lead to more effective and resilient agricultural systems by supplying clean and dependable electricity, lowering greenhouse gas emissions, and supporting sustainable resource management.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"17 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139963575","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}
{"title":"Carbon finance and low-carbon technological change: Evidence from China","authors":"Wenqi Zhang, Zuogong Wang","doi":"10.1177/0958305x241230617","DOIUrl":"https://doi.org/10.1177/0958305x241230617","url":null,"abstract":"Promoting carbon finance is considered a solution for supporting climate change mitigation. This article investigates the impact of carbon finance development on low-carbon technological change, exploiting textual analysis technology to measure the low-carbon innovation quality of 2953 CO2 emission allowance enterprises and evaluating the carbon finance index of eight pilots. Our panel regression results from 2014 to 2021 show that carbon finance encourages enterprises with CO2 emission allowances to upgrade their low-carbon innovation quality. The findings remain robust after using a variety of tests, including the instrumental variable (IV) approach, alternative innovation quality measure, replacement patent application with grant, etc. Our heterogeneity results indicate that the effect of carbon finance on low-carbon technological change is only statistically significant in non-state-owned enterprises, resulting from administrative government intervention in China's carbon market. Additionally, enterprises with stronger technology intensity show a statistically significant impact of carbon finance on the quality of low-carbon innovation. Furthermore, the mechanism shows that the effect of carbon finance on low-carbon technological change can be attributed to strengthened R&D intensity and mitigated financial constraints. This study sheds light on the positive significance of carbon finance and has a certain guiding role for the promotion path of China's national carbon market to support low-carbon transformation.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"29 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139962460","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}
{"title":"Optimal sizing and optimization of financial cost for EVs using SPOA-RBFNN technique","authors":"P. Kannan, M. Sivakumar, R. Ruban Raja","doi":"10.1177/0958305x231225101","DOIUrl":"https://doi.org/10.1177/0958305x231225101","url":null,"abstract":"This study proposes a hybrid technique for optimal sizing and cost optimization of hybrid energy storage systems (HESS) integrated into electric vehicles (EVs). The proposed technique, SPOA-RBFNN, combines a student psychology-based optimization algorithm (SPOA) and a radial-basis function neural network (RBFNN). The study aims to minimize the overall cost of the HESS by evaluating two design variables: the super-capacitor (SC) and battery pack size. SPOA is employed to optimize the hybrid HESS design variables, ensuring efficient exploration of solution spaces. The RBFNN method is then used to predict the relationship between these design variables and the overall cost of the HESS in electric vehicles. The results show that the proposed technique is more effective than existing techniques, with an efficiency of 97.99039% compared to 82.137% for GA and 77.26589% for particle swarm optimization (PSO). This work offers a comprehensive and innovative approach to optimizing HESS sizing in EVs, connecting the gap between performance optimization and financial cost analysis.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840748","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}
{"title":"Optimal sizing and optimization of financial cost for EVs using SPOA-RBFNN technique","authors":"P. Kannan, M. Sivakumar, R. Ruban Raja","doi":"10.1177/0958305x231225101","DOIUrl":"https://doi.org/10.1177/0958305x231225101","url":null,"abstract":"This study proposes a hybrid technique for optimal sizing and cost optimization of hybrid energy storage systems (HESS) integrated into electric vehicles (EVs). The proposed technique, SPOA-RBFNN, combines a student psychology-based optimization algorithm (SPOA) and a radial-basis function neural network (RBFNN). The study aims to minimize the overall cost of the HESS by evaluating two design variables: the super-capacitor (SC) and battery pack size. SPOA is employed to optimize the hybrid HESS design variables, ensuring efficient exploration of solution spaces. The RBFNN method is then used to predict the relationship between these design variables and the overall cost of the HESS in electric vehicles. The results show that the proposed technique is more effective than existing techniques, with an efficiency of 97.99039% compared to 82.137% for GA and 77.26589% for particle swarm optimization (PSO). This work offers a comprehensive and innovative approach to optimizing HESS sizing in EVs, connecting the gap between performance optimization and financial cost analysis.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"134 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780760","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}
Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E. Kwon
{"title":"Analysis of microplastics distributed in the environment: Case studies in South Korea","authors":"Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E. Kwon","doi":"10.1177/0958305x241230616","DOIUrl":"https://doi.org/10.1177/0958305x241230616","url":null,"abstract":"The massive production and extensive distribution of microplastics, stemming from postconsumer plastics, have become problematic for the environment and human health. Various studies have reported the hazardous potential and toxicity of microplastics in living organisms, including animals and humans. As a precautionary measure to protect them from microplastic exposure, significant efforts have been made to analyze the distribution of microplastics in the environment. However, each research group individually examined the microplastic distribution in a specific location. Consequently, there is a lack of information regarding the presence of microplastics in wider district units, such as cities and across the nation. In this study, an overview of various case studies in South Korea is provided by discussing the presence and concentration of microplastics in South Korea and examining the reports and research articles on the analysis of microplastic distributions in different locations in South Korea. The current sampling and analysis methods used for microplastic distribution studies were also summarized, along with their technical challenges. The possible sources of primary and secondary microplastics were also discussed to determine the original plastic types of microplastics derived from industries and households.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"124 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139785031","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}
Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E. Kwon
{"title":"Analysis of microplastics distributed in the environment: Case studies in South Korea","authors":"Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E. Kwon","doi":"10.1177/0958305x241230616","DOIUrl":"https://doi.org/10.1177/0958305x241230616","url":null,"abstract":"The massive production and extensive distribution of microplastics, stemming from postconsumer plastics, have become problematic for the environment and human health. Various studies have reported the hazardous potential and toxicity of microplastics in living organisms, including animals and humans. As a precautionary measure to protect them from microplastic exposure, significant efforts have been made to analyze the distribution of microplastics in the environment. However, each research group individually examined the microplastic distribution in a specific location. Consequently, there is a lack of information regarding the presence of microplastics in wider district units, such as cities and across the nation. In this study, an overview of various case studies in South Korea is provided by discussing the presence and concentration of microplastics in South Korea and examining the reports and research articles on the analysis of microplastic distributions in different locations in South Korea. The current sampling and analysis methods used for microplastic distribution studies were also summarized, along with their technical challenges. The possible sources of primary and secondary microplastics were also discussed to determine the original plastic types of microplastics derived from industries and households.","PeriodicalId":505265,"journal":{"name":"Energy & Environment","volume":"52 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139844827","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}
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":"15 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":"139853773","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}