Pub Date : 2023-05-24DOI: 10.3389/fsuep.2023.1171093
Xiaofeng Ye, Zheyu Zhang, Y. Qiu
The rapid popularization of advanced metering infrastructure (AMI) smart meters produces customer high-frequency energy consumption data. These data provide diverse options for energy economics and policy research. In this review, we examine studies applying high frequency smart meter data to explore the overall impact of household new technology adoption and COVID-19 on energy consumption patterns. We find that high frequency smart meter data boosts the accuracy of forecasting models with various data-driven algorithms. In addition, there is a lack of precise assessment and inclusive understanding of energy poverty in advanced economics. Smart meter data help expand and deepen the energy poverty research. Research on how vulnerable groups exhibit energy poverty can improve society's understanding of energy poverty and help implement related policy assistance programs.
{"title":"Review of application of high frequency smart meter data in energy economics and policy research","authors":"Xiaofeng Ye, Zheyu Zhang, Y. Qiu","doi":"10.3389/fsuep.2023.1171093","DOIUrl":"https://doi.org/10.3389/fsuep.2023.1171093","url":null,"abstract":"The rapid popularization of advanced metering infrastructure (AMI) smart meters produces customer high-frequency energy consumption data. These data provide diverse options for energy economics and policy research. In this review, we examine studies applying high frequency smart meter data to explore the overall impact of household new technology adoption and COVID-19 on energy consumption patterns. We find that high frequency smart meter data boosts the accuracy of forecasting models with various data-driven algorithms. In addition, there is a lack of precise assessment and inclusive understanding of energy poverty in advanced economics. Smart meter data help expand and deepen the energy poverty research. Research on how vulnerable groups exhibit energy poverty can improve society's understanding of energy poverty and help implement related policy assistance programs.","PeriodicalId":262866,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133463877","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}
Pub Date : 2023-02-16DOI: 10.3389/fsuep.2022.1047675
Verónica González-Carrasco, R. Robina‐Ramírez, D. Gibaja-Romero, Marcelo Sánchez-Oro Sánchez
Introduction Achieving an energy transition in the power industry in Mexico is a complex task. Despite being one of the most promising countries in Latin America and the world for developing wind and solar photovoltaic energy, energy and climate change efforts are insufficient; therefore, changes are generated slowly and leisurely. This article attempts to make a proposal based on the Quintuple Helix Model as an analytical and decision-making framework to encourage the production and consumption of clean/renewable electric energy and reduce GHG emissions. It proposes the sum of strategic interactions to promote a cooperation system and knowledge transfer, know-how, and innovation through the active and committed collaboration of government, academia, industry, civil society, and the environment to achieve the sustainable development of the electricity industry in Mexico. Methods These hypotheses are the result of the development of a singular methodology based on Partial Least Squares (PLS), according to Structural Equation Modeling (SEM). The results point out that the five-helix approach is valid to solve the energy transition problem in the electricity industry in Mexico. Discussion Although it is not fully developed and consolidated, it can be replicated in scenarios with similar socioeconomic characteristics. Furthermore, the government is the most opportune intermediary driving agent for the development of the energy transition in the electricity industry, since it is the one that can lead and drive the energy transition process by modifying the electricity sector through structural change in the energy market.
{"title":"The Quintuple Helix Model: Cooperation system for a sustainable electric power industry in Mexico","authors":"Verónica González-Carrasco, R. Robina‐Ramírez, D. Gibaja-Romero, Marcelo Sánchez-Oro Sánchez","doi":"10.3389/fsuep.2022.1047675","DOIUrl":"https://doi.org/10.3389/fsuep.2022.1047675","url":null,"abstract":"Introduction Achieving an energy transition in the power industry in Mexico is a complex task. Despite being one of the most promising countries in Latin America and the world for developing wind and solar photovoltaic energy, energy and climate change efforts are insufficient; therefore, changes are generated slowly and leisurely. This article attempts to make a proposal based on the Quintuple Helix Model as an analytical and decision-making framework to encourage the production and consumption of clean/renewable electric energy and reduce GHG emissions. It proposes the sum of strategic interactions to promote a cooperation system and knowledge transfer, know-how, and innovation through the active and committed collaboration of government, academia, industry, civil society, and the environment to achieve the sustainable development of the electricity industry in Mexico. Methods These hypotheses are the result of the development of a singular methodology based on Partial Least Squares (PLS), according to Structural Equation Modeling (SEM). The results point out that the five-helix approach is valid to solve the energy transition problem in the electricity industry in Mexico. Discussion Although it is not fully developed and consolidated, it can be replicated in scenarios with similar socioeconomic characteristics. Furthermore, the government is the most opportune intermediary driving agent for the development of the energy transition in the electricity industry, since it is the one that can lead and drive the energy transition process by modifying the electricity sector through structural change in the energy market.","PeriodicalId":262866,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903545","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}
Pub Date : 2023-01-19DOI: 10.3389/fsuep.2022.1058534
D. Pappas, T. Braunholtz-Speight, M. Hannon, J. Webb, Fabián Fuentes González, M. Sharmina
Smart and local energy systems (SLES) offer an alternative to large-scale energy provision and a boost to the transition towards a low-carbon economy. However, the Business Model Canvas (BMC), an increasingly used framework for analyzing SLES, does not adequately describe the multiple value streams that can characterize the business models of numerous SLES projects. In this research, we modify and use the triple-layered BMC to analyze 18 SLES projects selected globally. The decarbonisation, digitalization and democratization associated with SLES, means that the value proposition extends beyond straightforward economic value and towards environmental and social value, and we find a wide reporting gap of environmental and social elements. We argue that the triple-layered BMC, which incorporates the environmental and social layers into its analysis, better reflects real-world business model complexity. We provide a common framework to SLES stakeholders for identifying and adding environmental and social value to their business models.
{"title":"Business models for smart local energy systems—A triple layered perspective","authors":"D. Pappas, T. Braunholtz-Speight, M. Hannon, J. Webb, Fabián Fuentes González, M. Sharmina","doi":"10.3389/fsuep.2022.1058534","DOIUrl":"https://doi.org/10.3389/fsuep.2022.1058534","url":null,"abstract":"Smart and local energy systems (SLES) offer an alternative to large-scale energy provision and a boost to the transition towards a low-carbon economy. However, the Business Model Canvas (BMC), an increasingly used framework for analyzing SLES, does not adequately describe the multiple value streams that can characterize the business models of numerous SLES projects. In this research, we modify and use the triple-layered BMC to analyze 18 SLES projects selected globally. The decarbonisation, digitalization and democratization associated with SLES, means that the value proposition extends beyond straightforward economic value and towards environmental and social value, and we find a wide reporting gap of environmental and social elements. We argue that the triple-layered BMC, which incorporates the environmental and social layers into its analysis, better reflects real-world business model complexity. We provide a common framework to SLES stakeholders for identifying and adding environmental and social value to their business models.","PeriodicalId":262866,"journal":{"name":"Frontiers in Sustainable Energy Policy","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130759426","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：