Reducing energy vulnerability based on energy services in the residential homes: a decision-making framework using multi-criteria satisfaction analysis

被引:0
|
作者
Fetanat, Abdolvahhab [1 ]
Booali, Mohammad Mahdi [1 ]
Tayebi, Mohsen [2 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Behbahan Branch, Behbahan, Iran
[2] Islamic Azad Univ, Behbahan Branch, Young Researchers & Elite Club, Behbahan, Iran
来源
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS | 2023年
关键词
Customer satisfaction; Decision-making; Energy poverty; Energy services; Energy vulnerability; Multi-criteria satisfaction analysis; CLIMATE-CHANGE MITIGATION; FUEL POVERTY; EUROPEAN-UNION; INDEX; DEPRIVATION; EFFICIENCY; SECTOR; TRADE; CHINA; POWER;
D O I
10.1007/s12667-023-00610-2
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy services have been a large part of our lives and their satisfaction is very important to both the states and the people worldwide. The customers from an energy service company in Behbahan city, southwestern Iran, were considered and their views on energy vulnerability metrics (criteria) of access, affordability, flexibility, energy efficiency, needs, and practices were collected through a five-level questionnaire. Using the multi-criteria satisfaction analysis (MUSA) method, this company examined customer satisfaction to identify its strengths and weaknesses. The company used the five-star management model of Jay Galbraith to reduce energy vulnerability and increase customer satisfaction. This model consists of five steps. The energy service company, focusing on the implementation of operations strategy, has been able to increase customer satisfaction. The final assessment shows that the new approach has been successful and has achieved important targets such as sustainability of energy service, energy saving, customer satisfaction, and increased competitiveness with other companies. This research has used a decision-making framework for implementing operations strategy in sustainable service management with consideration of energy vulnerability in residential homes.
引用
收藏
页数:33
相关论文
共 50 条
  • [1] Energy Security Assessment Based on a New Dynamic Multi-Criteria Decision-Making Framework
    Ziemba, Pawel
    ENERGIES, 2022, 15 (24)
  • [2] Review on multi-criteria decision analysis aid in sustainable energy decision-making
    Wang, Jiang-Jiang
    Jing, You-Yin
    Zhang, Chun-Fa
    Zhao, Jun-Hong
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (09): : 2263 - 2278
  • [3] Renewable energy projects: structuring a multi-criteria group decision-making framework
    Haralambopoulos, DA
    Polatidis, H
    RENEWABLE ENERGY, 2003, 28 (06) : 961 - 973
  • [4] MULTI-CRITERIA DECISION-MAKING ANALYSIS OF ENERGY MIX IN THE CZECH REPUBLIC
    Cerny, Igor
    Magnuskova, Jana
    Krcmarska, Lucie
    Spakovska, Katerina
    GEOCONFERENCE ON ECOLOGY, ECONOMICS, EDUCATION AND LEGISLATION, SGEM 2013, VOL II, 2013, : 209 - 216
  • [5] An Analysis of the Multi-Criteria Decision-Making Problem for Distributed Energy Systems
    Li, Yanbin
    Shao, Shuangshuang
    Zhang, Feng
    ENERGIES, 2018, 11 (09)
  • [6] Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach
    Anbazhagu U.V.
    Koti M.S.
    Muthukumaran V.
    Geetha V.
    Munrathnam M.
    Distributed Generation and Alternative Energy Journal, 2024, 39 (01): : 83 - 109
  • [7] Risk assessment for the integrated energy system using a hesitant fuzzy multi-criteria decision-making framework
    Xu, Fangqiu
    Gao, Kaiye
    Xiao, Bowen
    Liu, Jicheng
    Wu, Zixuan
    ENERGY REPORTS, 2022, 8 : 7892 - 7907
  • [8] Multi-criteria renewable energy planning decision-making model based on VIKOR
    Dai Chun-yan
    Zhang Xi-liang
    Wang En-chuang
    Liu Zhen
    Tang Song-lin
    RENEWABLE AND SUSTAINABLE ENERGY II, PTS 1-4, 2012, 512-515 : 1174 - +
  • [9] Determination of Renewable Energy Growth Using Cluster Analysis and Multi-Criteria Decision-Making Methods
    Sevgi, Esiyok
    Figen, Antmen Z.
    APPLIED SCIENCES-BASEL, 2025, 15 (03):
  • [10] A review on multi-criteria decision-making for energy efficiency in automotive engineering
    Castro, Djan Magalhaes
    Parreiras, Fernando Silv
    APPLIED COMPUTING AND INFORMATICS, 2021, 17 (01) : 53 - 78