Sustainability Assessment of Electricity Supply Chain via Resource Waste Reduction and Pollution Emissions Management: A Case Study of the Power Industry

被引:1
作者
Pouralizadeh, Mojgan [1 ]
机构
[1] Islamic Azad Univ, Lahijan Branch, Dept Appl Math, Lahijan, Iran
来源
SMART AND SUSTAINABLE MANUFACTURING SYSTEMS | 2021年 / 5卷 / 01期
关键词
electrical energy supply chain; resource allocation; pollutant emissions; sustainability assessment; DEA ENVIRONMENTAL ASSESSMENT; SOCIAL SUSTAINABILITY; UNDESIRABLE OUTPUTS; PERFORMANCE; EFFICIENCY; MODEL; SELECTION; RETURNS;
D O I
10.1520/SSMS20210004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The energy and power industries are one of the most important economic sectors, essential in creating value-added economic growth in any society. The waste of energy resources and environmental issues in the energy and power plant sectors have created various challenges for the power industry. Managing existing capacities and reducing environmentally harmful effects result in system efficiency enhancement and wasted energy returns to the natural cycle in electricity supply chain divisions. This study aims to determine divisions of an electricity supply chain as resource allocation handling, providing harmful emissions abatement (e.g., carbon dioxide and greenhouse gases) and waste energy mitigation. The proposed intermediate approach measures the unified inefficiency score of each production factor and determines the level of total unified inefficiency from the average of the sum of these inefficiency scores. Indeed, the proposed intermediate approach distinguishes influential supply chain divisions from the uninfluential ones to sources utilization management for abatement of significant flare and greenhouse gases and wasted energy in energy and power plant sectors, as well as transmission and distribution lines. The current paper introduces intermediate approaches for sustainability evaluation of the electricity supply chain based on data envelopment analysis models. The proposed approach evaluates the potential of supply chain divisions to reduce undesirable outputs. The intermediate approach, under managerial disposability, enables us to determine regions of the supply chain with the necessary preparation to confront harmful emissions and wasted energy. One empirical implication has been obtained from model performance in the electricity supply chain. Findings suggested that the oil field, power plant, and transmission line divisions, as well as industrial consumers, have adequate potential for pollution emissions abatement and energy loss prevention as the increase of inputs provides more outputs. Moreover, these divisions are efficient in 10 supply chains. The implications of the results, including the fact that the increase of inputs provides desirable output increments and productivity enhancement in the oil field, power plant sections, and industrial consumers, have been considered.
引用
收藏
页码:290 / 310
页数:22
相关论文
共 24 条
  • [1] An integrated data envelopment analysis-mathematical programming approach to strategic biodiesel supply chain network design problem
    Babazadeh, Reza
    Razmi, Jafar
    Rabbani, Masoud
    Pishvaee, Mir Saman
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 147 : 694 - 707
  • [2] Bastan M., 2018, INT C IND ENG OP MAN, P3103
  • [3] MEASURING EFFICIENCY OF DECISION-MAKING UNITS
    CHARNES, A
    COOPER, WW
    RHODES, E
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) : 429 - 444
  • [4] Study on eco-efficiency of industrial parks in China based on data envelopment analysis
    Fan, Yupeng
    Bai, Bingyang
    Qiao, Qi
    Kang, Peng
    Zhang, Yue
    Guo, Jing
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 192 : 107 - 115
  • [5] Contributions of Professor William W. Cooper in Operations Research and Management Science
    Glover, Fred
    Sueyoshi, Toshiyuki
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 197 (01) : 1 - 16
  • [6] Iran Power Generation and Transmission Company, 2015, DET STAT IR POW IND
  • [7] Developing distinctive two-stage data envelopment analysis models: An application in evaluating the sustainability of supply chain management
    Khodakarami, Mohsen
    Shabani, Amir
    Saen, Reza Farzipoor
    Azadi, Majid
    [J]. MEASUREMENT, 2015, 70 : 62 - 74
  • [8] Levin K., 2018, New Global CO2 Emissions Numbers Are In. Theyre Not Good.
  • [9] A novel network data envelopment analysis model for evaluating green supply chain management
    Mirhedayatian, Seyed Mostafa
    Azadi, Majid
    Saen, Reza Farzipoor
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 147 : 544 - 554
  • [10] A DEA model to sustainability improvement of the electricity supply chain in presence dual-role factors and undesirable outputs: A case on the power industry
    Pouralizadeh, Mojgan
    [J]. AIMS ENERGY, 2020, 8 (04) : 580 - 614