{"title":"A systematic inquiry of energy management in smart grid by using SAP-LAP and IRP approach","authors":"C. Pal, R. Shankar","doi":"10.1108/ijesm-04-2022-0004","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe need to address energy management as a significant innovation in the smart grid is emphasized to enable a more effective penetration of renewable energy to achieve energy savings and CO2 emission reductions. The purpose of this study is to propose a holistic, flexible decision framework for energy management in a smart grid.\n\n\nDesign/methodology/approach\nAccording to the situation actor process−learning action performance (SAP−LAP) model, the variables have been identified after a comprehensive analysis of the literature and consideration of the opinions of domain experts. However, the importance of each SAP−LAP variable is not the same in real practice. Hence, focus on these variables should be given based on their importance, and to measure this importance, an interpretive ranking process based ranking method is used in this study. This helps to allocate proportionate resource to each SAP−LAP variable to make a better decision for the energy management of the smart grid.\n\n\nFindings\nThis study ranked five actors based on their priorities for energy management in a smart grid: top management, generator and retailor, consumers, government policy and regulation and technology vendors. Furthermore, actions are also prioritized with respect to performance.\n\n\nPractical implications\nThe SAP−LAP model conveys information about the state of energy management in India to actors who may proceed or manage the flow of electricity. Additionally, this study aids in detecting vulnerabilities in the current energy generation, transmission and distribution technique. The synthesis of SAP results in LAP, which assists in recommending improvement actions learned from the current situation, actors and processes.\n\n\nOriginality/value\nThe SAP−LAP model is a revolutionary approach for examining the current state of energy management in a unified framework that can guide decision-making in conflicting situations, significantly the contradictory nature of India’s renewable energy and power sectors.\n","PeriodicalId":46430,"journal":{"name":"International Journal of Energy Sector Management","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Sector Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijesm-04-2022-0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 2
Abstract
Purpose
The need to address energy management as a significant innovation in the smart grid is emphasized to enable a more effective penetration of renewable energy to achieve energy savings and CO2 emission reductions. The purpose of this study is to propose a holistic, flexible decision framework for energy management in a smart grid.
Design/methodology/approach
According to the situation actor process−learning action performance (SAP−LAP) model, the variables have been identified after a comprehensive analysis of the literature and consideration of the opinions of domain experts. However, the importance of each SAP−LAP variable is not the same in real practice. Hence, focus on these variables should be given based on their importance, and to measure this importance, an interpretive ranking process based ranking method is used in this study. This helps to allocate proportionate resource to each SAP−LAP variable to make a better decision for the energy management of the smart grid.
Findings
This study ranked five actors based on their priorities for energy management in a smart grid: top management, generator and retailor, consumers, government policy and regulation and technology vendors. Furthermore, actions are also prioritized with respect to performance.
Practical implications
The SAP−LAP model conveys information about the state of energy management in India to actors who may proceed or manage the flow of electricity. Additionally, this study aids in detecting vulnerabilities in the current energy generation, transmission and distribution technique. The synthesis of SAP results in LAP, which assists in recommending improvement actions learned from the current situation, actors and processes.
Originality/value
The SAP−LAP model is a revolutionary approach for examining the current state of energy management in a unified framework that can guide decision-making in conflicting situations, significantly the contradictory nature of India’s renewable energy and power sectors.
期刊介绍:
The International Journal of Energy Sector Management aims to facilitate dissemination of research on issues relating to supply management (covering the entire supply chain of resource finding, extraction, production, treatment, conversion, transportation, distribution and retail supply), demand and usage management, waste management, customer and other stakeholder management, and solutions thereto. The journal covers all forms of energy (non-renewable and renewable), forms of supply (centralised or decentralised), ownership patterns (public or private, cooperative, joint, or any other), market structures (formal, informal, integrated, disintegrated, national, international, local, etc.) and degress of commoditisation (e.g. internationally traded, regionally traded, non-traded, etc.). The journal aims to cover a wide range of subjects relevant to the management of the energy sector, including but not limited to: Management of scarce resources (economic, financial, human and natural), projects, activities and concerns (e.g. regulatory, social and environmental aspects), technologies and knowledge Business strategy, policy and planning as well as decision support systems for energy sector management Business organisation, structure and environment, and changes thereto Globalisation and multi-cultural management Management of innovation, change and transition.