Hossam M. Hussein, Ahmed Aghmadi, Mahmoud S. Abdelrahman, S M Sajjad Hossain Rafin, Osama Mohammed
Batteries are considered critical elements in most applications nowadays due to their power and energy density features. However, uncontrolled charging and discharging will negatively affect their functions and might result in a catastrophic failure of their applications. Hence, a battery management system (BMS) is mandated for their proper operation. One of the critical elements of any BMS is the state of charge (SoC) estimation process, which highly determines the needed action to maintain the battery's health and efficiency. Several methods were used to estimate the Lithium-ion batteries (LIBs) SoC, depending on the LIBs model or any other suitable technique. This article provides a critical review of the existing SoC estimation approaches and the main LIB models with their pros and cons, their possibility to integrate with each other's for precise estimation results, and the applicability of these techniques in electric vehicles and utility applications with the commonly used standards and codes in these sectors. Moreover, this study will also explore a future framework for integrating digital twins (DTs) with BMSs for improved and advanced management. Based on this comprehensive review, it can be concluded that merging the model-based estimation techniques with the data-driven approaches with their promising development to determine the dynamic patterns inside the battery can efficiently achieve precise estimation results while reducing the complexity of these models. This integration will align also with the integration of digital twin technology to provide complete and accurate supervision for the BMSs.
{"title":"A review of battery state of charge estimation and management systems: Models and future prospective","authors":"Hossam M. Hussein, Ahmed Aghmadi, Mahmoud S. Abdelrahman, S M Sajjad Hossain Rafin, Osama Mohammed","doi":"10.1002/wene.507","DOIUrl":"https://doi.org/10.1002/wene.507","url":null,"abstract":"Batteries are considered critical elements in most applications nowadays due to their power and energy density features. However, uncontrolled charging and discharging will negatively affect their functions and might result in a catastrophic failure of their applications. Hence, a battery management system (BMS) is mandated for their proper operation. One of the critical elements of any BMS is the state of charge (SoC) estimation process, which highly determines the needed action to maintain the battery's health and efficiency. Several methods were used to estimate the Lithium-ion batteries (LIBs) SoC, depending on the LIBs model or any other suitable technique. This article provides a critical review of the existing SoC estimation approaches and the main LIB models with their pros and cons, their possibility to integrate with each other's for precise estimation results, and the applicability of these techniques in electric vehicles and utility applications with the commonly used standards and codes in these sectors. Moreover, this study will also explore a future framework for integrating digital twins (DTs) with BMSs for improved and advanced management. Based on this comprehensive review, it can be concluded that merging the model-based estimation techniques with the data-driven approaches with their promising development to determine the dynamic patterns inside the battery can efficiently achieve precise estimation results while reducing the complexity of these models. This integration will align also with the integration of digital twin technology to provide complete and accurate supervision for the BMSs.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":"20 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kati Miettunen, Mahboubeh Hadadian, Joaquín Valdez García, Alicja Lawrynowicz, Elena Akulenko, Orlando J. Rojas, Michael Hummel, Jaana Vapaavuori
Plant-based materials are emerging as an alternative to conventional components in advanced energy applications. Among these, energy harvesting from sunlight is highly attractive and, in fact, represents the fastest growing energy technology. This review addresses the broad field of solar cell science since plant-based components can be utilized in almost all solar technologies, and in certain photovoltaic technologies, they can fulfill most of the roles in photovoltaic devices. There is strengthened recent interest in developing sustainable materials options as well as new functionalities being developed for bio-based materials. This contribution describes the different options for plant-derived materials in photovoltaics and discusses their deployment feasibility. We focus on performance, lifetime, and embedded energy, all of which are critical to achieve—economically and sustainably–competitive photovoltaic devices. We address the tendency in the current literature for greenwashing, given that not all plant-based solutions are environmentally-sound at the device level. On the other hand, plant-based materials can offer functionalities that cannot be reached with currently used materials.
{"title":"Bio-based materials for solar cells","authors":"Kati Miettunen, Mahboubeh Hadadian, Joaquín Valdez García, Alicja Lawrynowicz, Elena Akulenko, Orlando J. Rojas, Michael Hummel, Jaana Vapaavuori","doi":"10.1002/wene.508","DOIUrl":"https://doi.org/10.1002/wene.508","url":null,"abstract":"Plant-based materials are emerging as an alternative to conventional components in advanced energy applications. Among these, energy harvesting from sunlight is highly attractive and, in fact, represents the fastest growing energy technology. This review addresses the broad field of solar cell science since plant-based components can be utilized in almost all solar technologies, and in certain photovoltaic technologies, they can fulfill most of the roles in photovoltaic devices. There is strengthened recent interest in developing sustainable materials options as well as new functionalities being developed for bio-based materials. This contribution describes the different options for plant-derived materials in photovoltaics and discusses their deployment feasibility. We focus on performance, lifetime, and embedded energy, all of which are critical to achieve—economically and sustainably–competitive photovoltaic devices. We address the tendency in the current literature for greenwashing, given that not all plant-based solutions are environmentally-sound at the device level. On the other hand, plant-based materials can offer functionalities that cannot be reached with currently used materials.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":"74 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139772372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electricity price forecasting is crucial for grid management, renewable energy integration, power system planning, and price volatility management. However, poor accuracy due to complex generation mix data and heteroskedasticity poses a challenge for utilities and grid operators. This paper evaluates advanced analytics methods that utilize principal component analysis (PCA) to improve forecasting accuracy amidst heteroskedastic noise. Drawing on the experience of the California Independent System Operator (CAISO), a leading producer of renewable electricity, the study analyzes hourly electricity prices and demand data from 2016 to 2021 to assess the impact of day-ahead forecasting on California's evolving generation mix. To enhance data quality, traditional outlier analysis using the interquartile range (IQR) method is first applied, followed by a novel supervised PCA technique called robust PCA (RPCA) for more effective outlier detection and elimination. The combined approach significantly improves data symmetry and reduces skewness. Multiple linear regression models are then constructed to forecast electricity prices using both raw and transformed features obtained through PCA. Results demonstrate that the model utilizing transformed features, after outlier removal using the traditional method and SAS Sparse Matrix method, achieves the highest forecasting performance. Notably, the SAS Sparse Matrix outlier removal method, implemented via proc RPCA, greatly contributes to improved model accuracy. This study highlights that PCA methods enhance electricity price forecasting accuracy, facilitating the integration of renewables like solar and wind, thereby aiding grid management and promoting renewable growth in day-ahead markets.
{"title":"Principal component analysis of day-ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets","authors":"Joseph Nyangon, Ruth Akintunde","doi":"10.1002/wene.504","DOIUrl":"https://doi.org/10.1002/wene.504","url":null,"abstract":"Electricity price forecasting is crucial for grid management, renewable energy integration, power system planning, and price volatility management. However, poor accuracy due to complex generation mix data and heteroskedasticity poses a challenge for utilities and grid operators. This paper evaluates advanced analytics methods that utilize principal component analysis (PCA) to improve forecasting accuracy amidst heteroskedastic noise. Drawing on the experience of the California Independent System Operator (CAISO), a leading producer of renewable electricity, the study analyzes hourly electricity prices and demand data from 2016 to 2021 to assess the impact of day-ahead forecasting on California's evolving generation mix. To enhance data quality, traditional outlier analysis using the interquartile range (IQR) method is first applied, followed by a novel supervised PCA technique called robust PCA (RPCA) for more effective outlier detection and elimination. The combined approach significantly improves data symmetry and reduces skewness. Multiple linear regression models are then constructed to forecast electricity prices using both raw and transformed features obtained through PCA. Results demonstrate that the model utilizing transformed features, after outlier removal using the traditional method and SAS Sparse Matrix method, achieves the highest forecasting performance. Notably, the SAS Sparse Matrix outlier removal method, implemented via proc RPCA, greatly contributes to improved model accuracy. This study highlights that PCA methods enhance electricity price forecasting accuracy, facilitating the integration of renewables like solar and wind, thereby aiding grid management and promoting renewable growth in day-ahead markets.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":"25 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138541038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tawanda Collins Muzamwese, Laura Franco-Garcia, Michiel A. Heldeweg
In order to achieve transition toward a Circular Economy (CE), multiple stakeholder partnerships are required. Although the CE shows proven potential and impact, the implementation is still very low in developing and transition countries. The role of networks in promoting the CE is assessed, including the impact which network participation has on the implementation of a CE at company level. Although firm level capabilities can be enhanced by network participation, a lot of knowledge gaps exist regarding the orientation and structure of networks; governance models for networks and the high impact activities that can be implemented. A systematic literature review was undertaken to characterize the role of sustainable business networks in green industrial transformation. The approach to literature review included keyword search, title analysis, search title analysis, abstract analysis and systematic review of contents for full review of 50 research articles from Web of Science, Scopus and literature. Barriers, cognitions and challenges in the operation of sustainable business networks were clearly analyzed, including knowledge gaps existing in literature. Database search and document review was undertaken to determine the role and impact of sustainable business networks in promoting a CE in comparison to idiosyncratic organizations without any affiliation. The review enabled determination of the policies which promote sustainable business networks, network structure, governance, and success factors. We conclude that sustainable business networks have an impact on the CE transformation in selected African countries. Implementation success could be explained by contextual factors within sustainable business network boundaries.
为了实现向循环经济(CE)的过渡，需要多个利益相关者的伙伴关系。虽然欧洲经委会显示出已证实的潜力和影响，但在发展中国家和转型国家，执行情况仍然很低。评估网络在促进行政长官方面的作用，包括参与网络对在公司一级推行行政长官的影响。虽然企业层面的能力可以通过网络参与得到提升，但在网络的定位和结构方面存在很多知识缺口;可实现的网络和高影响活动的治理模型。本文对可持续商业网络在绿色产业转型中的作用进行了系统的文献综述。文献综述的方法包括关键词检索、标题分析、检索标题分析、摘要分析和内容系统综述，全文综述来自Web of Science、Scopus和literature的50篇研究论文。明确分析了可持续商业网络运行中的障碍、认知和挑战，包括文献中存在的知识缺口。进行了数据库搜索和文件审查，以确定可持续商业网络与没有任何联系的特殊组织相比在促进环境行政管理方面的作用和影响。通过审查，可以确定促进可持续业务网络、网络结构、治理和成功因素的政策。我们得出的结论是，可持续的商业网络对选定的非洲国家的CE转型有影响。实施成功可以用可持续业务网络边界内的环境因素来解释。
{"title":"The role of sustainable business networks in promoting a Circular Economy in Africa—A systematic literature review","authors":"Tawanda Collins Muzamwese, Laura Franco-Garcia, Michiel A. Heldeweg","doi":"10.1002/wene.506","DOIUrl":"https://doi.org/10.1002/wene.506","url":null,"abstract":"In order to achieve transition toward a Circular Economy (CE), multiple stakeholder partnerships are required. Although the CE shows proven potential and impact, the implementation is still very low in developing and transition countries. The role of networks in promoting the CE is assessed, including the impact which network participation has on the implementation of a CE at company level. Although firm level capabilities can be enhanced by network participation, a lot of knowledge gaps exist regarding the orientation and structure of networks; governance models for networks and the high impact activities that can be implemented. A systematic literature review was undertaken to characterize the role of sustainable business networks in green industrial transformation. The approach to literature review included keyword search, title analysis, search title analysis, abstract analysis and systematic review of contents for full review of 50 research articles from Web of Science, Scopus and literature. Barriers, cognitions and challenges in the operation of sustainable business networks were clearly analyzed, including knowledge gaps existing in literature. Database search and document review was undertaken to determine the role and impact of sustainable business networks in promoting a CE in comparison to idiosyncratic organizations without any affiliation. The review enabled determination of the policies which promote sustainable business networks, network structure, governance, and success factors. We conclude that sustainable business networks have an impact on the CE transformation in selected African countries. Implementation success could be explained by contextual factors within sustainable business network boundaries.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":"24 1","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138541034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electrification of heating, particularly with highly‐efficient heat pumps, is increasingly viewed as essential for reaching the targets of the Paris Climate Agreement. China has promoted replacement of dirty coal heating in rural areas. More recently China has also begun promoting distributed solar photovoltaic (PV) energy as a rural development strategy, particularly with the launch of the Whole County PV pilot program in 2021. While several studies have examined the economics of heat pump adoption, with or without solar PV, the Whole County PV program has not been specifically studied. Further, many prior studies utilize monthly average solar production or temperature ranges. This study examines the economics of heat pumps in participating counties in the Whole County PV program, employing hourly data for both PV output and ambient temperature in participating counties. The analysis shows that pairing residential heat pumps with PV in counties in Shandong, Henan, and Jiangsu would result in short economic payback periods versus gas or resistance heat, while also increasing self‐consumption of PV. The results suggest that expanding the Whole County PV program to incorporate energy efficiency and heating/cooling measures represents an economically attractive way to accelerate the rural energy transition and improve rural livelihoods. Such a policy would help accelerate the low‐carbon energy transition, reduce air pollutant emissions, and help address oversupply of midday PV output in local areas. Barriers to the approach include involvement of different government ministries, the cost of upgrading building insulation, the design of building codes, and the structure of electricity tariffs.
{"title":"Synergies between China's Whole County photovoltaic program and rural heat pump adoption","authors":"Anders Hove","doi":"10.1002/wene.488","DOIUrl":"https://doi.org/10.1002/wene.488","url":null,"abstract":"Electrification of heating, particularly with highly‐efficient heat pumps, is increasingly viewed as essential for reaching the targets of the Paris Climate Agreement. China has promoted replacement of dirty coal heating in rural areas. More recently China has also begun promoting distributed solar photovoltaic (PV) energy as a rural development strategy, particularly with the launch of the Whole County PV pilot program in 2021. While several studies have examined the economics of heat pump adoption, with or without solar PV, the Whole County PV program has not been specifically studied. Further, many prior studies utilize monthly average solar production or temperature ranges. This study examines the economics of heat pumps in participating counties in the Whole County PV program, employing hourly data for both PV output and ambient temperature in participating counties. The analysis shows that pairing residential heat pumps with PV in counties in Shandong, Henan, and Jiangsu would result in short economic payback periods versus gas or resistance heat, while also increasing self‐consumption of PV. The results suggest that expanding the Whole County PV program to incorporate energy efficiency and heating/cooling measures represents an economically attractive way to accelerate the rural energy transition and improve rural livelihoods. Such a policy would help accelerate the low‐carbon energy transition, reduce air pollutant emissions, and help address oversupply of midday PV output in local areas. Barriers to the approach include involvement of different government ministries, the cost of upgrading building insulation, the design of building codes, and the structure of electricity tariffs.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43597801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The lithium‐ion battery (LIB) market is growing, driven by consumer demand and the imperative to reduce greenhouse gas (GHG) emissions. The socio‐environmental impacts of LIBs production are vast; thus, it is of paramount importance to acquire knowledge about the consequences of lithium metal mining on human health, farming and the overall ecosystem. The materials embedded in spent LIBs have high industrial value. To minimize environmental impacts and conserve declining natural resources, the global supply chain for the raw materials for LIBs should not rely solely on mining. Rather, manufacturers should have access to the critical materials recovered from waste, as a sustainable and reliable secondary source of valuable materials. It is also crucial to study the hazards and economic considerations associated with waste LIB management from disassembly to final recycling stage. This article evaluates and highlights various current approaches to recycling and reuse of LIBs, as well as potential future developments. The pros and cons of different technological options for recycling spent LIBs, and opportunities to use small‐scale recycling technology to overcome the associated barriers, are also discussed.
{"title":"Technological options and design evolution for recycling spent lithium‐ion batteries: Impact, challenges, and opportunities","authors":"Rumana Hossain, Montajar Sarkar, V. Sahajwalla","doi":"10.1002/wene.481","DOIUrl":"https://doi.org/10.1002/wene.481","url":null,"abstract":"The lithium‐ion battery (LIB) market is growing, driven by consumer demand and the imperative to reduce greenhouse gas (GHG) emissions. The socio‐environmental impacts of LIBs production are vast; thus, it is of paramount importance to acquire knowledge about the consequences of lithium metal mining on human health, farming and the overall ecosystem. The materials embedded in spent LIBs have high industrial value. To minimize environmental impacts and conserve declining natural resources, the global supply chain for the raw materials for LIBs should not rely solely on mining. Rather, manufacturers should have access to the critical materials recovered from waste, as a sustainable and reliable secondary source of valuable materials. It is also crucial to study the hazards and economic considerations associated with waste LIB management from disassembly to final recycling stage. This article evaluates and highlights various current approaches to recycling and reuse of LIBs, as well as potential future developments. The pros and cons of different technological options for recycling spent LIBs, and opportunities to use small‐scale recycling technology to overcome the associated barriers, are also discussed.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42123529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to the worsening world climate crisis, reducing carbon emissions throughout product operations has become an issue that the manufacturing industry must face. In order to gain competitive advantage, this paper aims to explore low carbon design techniques for product life cycle: including low carbon design, low carbon manufacturing, low carbon logistics and low carbon recycling, as they are highly relevant to reducing carbon emissions. This paper proposes a portfolio structure for low carbon operations, consisting of a target layer, a strategy layer, and a support layer, aimed at improving energy efficiency and reducing carbon emissions. To emphasize the maximization of economic, environmental, and social advantages, the objective layer establishes a system of goals for low‐carbon product design. The strategy layer proposes four low‐carbon product design technologies: low‐carbon product design, manufacturing, transportation, and recycling. The support layer emphasizes the importance of operational systems and support platforms for low‐carbon products, such as low‐carbon design systems, energy information collection systems, energy optimization support systems, carbon emission monitoring and control systems, and low‐carbon management systems. However, successful implementation of low carbon manufacturing is challenging due to the complexity of low carbon manufacturing and the uniqueness of each company. Therefore, this paper suggests applying a life‐cycle‐oriented low‐carbon operation model to various manufacturing enterprises and exploring models that reflect actual manufacturing practices to achieve the goal of low‐carbon manufacturing.
{"title":"Product low‐carbon design, manufacturing, logistics, and recycling: An overview","authors":"Bin He, Xin Yuan, Shusheng Qian, Bing Li","doi":"10.1002/wene.479","DOIUrl":"https://doi.org/10.1002/wene.479","url":null,"abstract":"Due to the worsening world climate crisis, reducing carbon emissions throughout product operations has become an issue that the manufacturing industry must face. In order to gain competitive advantage, this paper aims to explore low carbon design techniques for product life cycle: including low carbon design, low carbon manufacturing, low carbon logistics and low carbon recycling, as they are highly relevant to reducing carbon emissions. This paper proposes a portfolio structure for low carbon operations, consisting of a target layer, a strategy layer, and a support layer, aimed at improving energy efficiency and reducing carbon emissions. To emphasize the maximization of economic, environmental, and social advantages, the objective layer establishes a system of goals for low‐carbon product design. The strategy layer proposes four low‐carbon product design technologies: low‐carbon product design, manufacturing, transportation, and recycling. The support layer emphasizes the importance of operational systems and support platforms for low‐carbon products, such as low‐carbon design systems, energy information collection systems, energy optimization support systems, carbon emission monitoring and control systems, and low‐carbon management systems. However, successful implementation of low carbon manufacturing is challenging due to the complexity of low carbon manufacturing and the uniqueness of each company. Therefore, this paper suggests applying a life‐cycle‐oriented low‐carbon operation model to various manufacturing enterprises and exploring models that reflect actual manufacturing practices to achieve the goal of low‐carbon manufacturing.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46271220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedro Gerber Machado, Ana Carolina Rodrigues Teixeira, E. Moutinho dos Santos, D. Mouette
Aiming to diversify the energy matrix, mainly regarding the transport sector, electric vehicles have been used as an option to reduce emissions. Despite many advantages of this technology, such as zero operational GHG emission, better energy efficiency compared to conventional vehicles, and low maintenance costs, the purchase cost is still high in several countries, compromising their adoption by many customers. In this context, this paper aims to evaluate the factors that impact electric vehicles (EV) adoption. A systematic review was conducted considering peer‐reviewed papers published in English from 2016 to 2020, and results were separated into clusters to enable the assessment. The main factors found in the literature that most impacted EV market diffusion negatively were the purchase price and the risks related to the market infancy, while subjective norm, perceived behavior, prior knowledge and experience with EV and government incentives influenced EV adoption positively.
{"title":"Electric vehicles adoption: A systematic review (2016–2020)","authors":"Pedro Gerber Machado, Ana Carolina Rodrigues Teixeira, E. Moutinho dos Santos, D. Mouette","doi":"10.1002/wene.477","DOIUrl":"https://doi.org/10.1002/wene.477","url":null,"abstract":"Aiming to diversify the energy matrix, mainly regarding the transport sector, electric vehicles have been used as an option to reduce emissions. Despite many advantages of this technology, such as zero operational GHG emission, better energy efficiency compared to conventional vehicles, and low maintenance costs, the purchase cost is still high in several countries, compromising their adoption by many customers. In this context, this paper aims to evaluate the factors that impact electric vehicles (EV) adoption. A systematic review was conducted considering peer‐reviewed papers published in English from 2016 to 2020, and results were separated into clusters to enable the assessment. The main factors found in the literature that most impacted EV market diffusion negatively were the purchase price and the risks related to the market infancy, while subjective norm, perceived behavior, prior knowledge and experience with EV and government incentives influenced EV adoption positively.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47568545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
South Africa's energy transition is underway and the country has adopted a just transition framework for its execution. However, the energy transition in South Africa is confronted by a multitude of socioeconomic challenges. This perspective focuses on urgent issues regarding South Africa's energy transition. The author argues that South Africa's energy transition needs a people‐centered approach; it must place the needs of all citizens at the forefront and leave no‐one behind. The transition must bring to the fore a new economic development pathway that is driven by renewable energy to create new sectors for economic growth, to create decent work, to reduce persisting energy inequalities and to address the ongoing energy crisis. Furthermore, developed economies will be essential in assisting South Africa with a financing deal for its energy transition. It remains to be seen whether the financing deal will indeed be realized. Also, there must be transparency between partners regarding the nature and structure of these deals, and that this finance be channeled to the most vulnerable victims of climate change. South Africa's energy transition model is the first of its kind globally; the world is watching keenly to see whether the country can succeed. Therefore, the challenge remains for South Africa to ensure that the energy transition addresses the country's socioeconomic challenges and prioritizes its people.
{"title":"Whose just energy transition? A South African perspective","authors":"N. Xaba","doi":"10.1002/wene.478","DOIUrl":"https://doi.org/10.1002/wene.478","url":null,"abstract":"South Africa's energy transition is underway and the country has adopted a just transition framework for its execution. However, the energy transition in South Africa is confronted by a multitude of socioeconomic challenges. This perspective focuses on urgent issues regarding South Africa's energy transition. The author argues that South Africa's energy transition needs a people‐centered approach; it must place the needs of all citizens at the forefront and leave no‐one behind. The transition must bring to the fore a new economic development pathway that is driven by renewable energy to create new sectors for economic growth, to create decent work, to reduce persisting energy inequalities and to address the ongoing energy crisis. Furthermore, developed economies will be essential in assisting South Africa with a financing deal for its energy transition. It remains to be seen whether the financing deal will indeed be realized. Also, there must be transparency between partners regarding the nature and structure of these deals, and that this finance be channeled to the most vulnerable victims of climate change. South Africa's energy transition model is the first of its kind globally; the world is watching keenly to see whether the country can succeed. Therefore, the challenge remains for South Africa to ensure that the energy transition addresses the country's socioeconomic challenges and prioritizes its people.","PeriodicalId":48766,"journal":{"name":"Wiley Interdisciplinary Reviews-Energy and Environment","volume":" ","pages":""},"PeriodicalIF":6.1,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47326148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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