A Computational Case Study on Sustainable Energy Transition in the Kingdom of Saudi Arabia

被引:4
|
作者
Alghassab, Mohammed [1 ]
机构
[1] Shaqra Univ, Coll Engn, Elect Engn Dept, Riyadh 11911, Saudi Arabia
关键词
fuzzy TOPSIS; sustainable energy transition; decision-making; recent issues; fuzzy set theory; uncertainty; MULTICRITERIA DECISION-MAKING; MANAGEMENT; MODEL;
D O I
10.3390/en16135133
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
With the increasing urgency for sustainable development and energy transition, decision-makers face complex challenges in evaluating and prioritizing viable alternatives. Traditional decision-making techniques often struggle to capture the inherent uncertainty and imprecision associated with the latest sustainable energy transition issues. This paper presents a research framework based on fuzzy set theory and the technique for order of preference by similarity to ideal solution (TOPSIS) method to address these complexities and uncertainties. Our proposed approach offers a comprehensive evaluation and ranking of alternatives for sustainable energy transition. To demonstrate the effectiveness and applicability of this system, we employ a case study in the Kingdom of Saudi Arabia (KSA). As a global leader in fossil fuel production and export, particularly oil, the KSA has recognized the need to address climate change and diversify its energy sector. By leveraging the fuzzy TOPSIS-based framework, we provide decision-makers with a powerful tool to navigate the challenges and uncertainties involved in the energy transition process. This research yields promising results, demonstrating the superior capabilities of the proposed fuzzy TOPSIS-based framework compared to traditional decision-making techniques. The case study in the KSA highlights how our approach effectively captures and addresses the uncertainties and complexities involved in sustainable energy transition decision making. Through comprehensive evaluations and rankings, decision-makers gain valuable insights into alternative solutions, facilitating informed and strategic decision-making processes. Our research contributes to sustainable energy transitions by introducing a robust decision-making framework that integrates fuzzy set theory and the TOPSIS method. Based on the fuzzy TOPSIS-based evaluation, the research findings indicate that solar energy (EA1) ranked as the most favourable alternative among the evaluated options for the sustainable energy transition in the KSA. Using our framework, stakeholders in the KSA and similar contexts can make informed decisions to accelerate their energy transition efforts and achieve sustainable development goals.
引用
下载
收藏
页数:18
相关论文
共 50 条
  • [21] STUDY ON THE CONJUNCTIVITIS DISEASE IN THE KINGDOM OF SAUDI ARABIA
    Al-Ghamdi, Moath Jamaan Saeed
    Al-Ghamdi, Khaled Ghazi Sharif
    Alzahrani, Anas Ali Ahmed
    Al-Ghamdi, Saleh Othman Saleh
    Alghamdi, Khalid Saeed Ahmed
    Alzahrani, Saeed Ali S.
    INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2019, 6 (01): : 2632 - 2637
  • [22] Case series of pancreas transplant in Kingdom of Saudi Arabia
    Alsaif, Faisal A.
    Alsaghier, Mohammed
    Alqahtani, Mohammad Saad
    Altawfeeq, Mansour
    Almeshari, Khalid
    Alalem, Faisal
    KUWAIT MEDICAL JOURNAL, 2021, 53 (04): : 408 - 410
  • [23] Computer Science Teachers Perspectives on Competencies - A Case Study in the Kingdom of Saudi Arabia
    Alghamdi, Fayiq
    Pears, Arnold
    Nylen, Aletta
    INFORMATICS IN SCHOOLS: FUNDAMENTALS OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING, ISSEP 2018, 2018, 11169 : 129 - 140
  • [24] Determinants of tourism in the Kingdom of Saudi Arabia and its impact on sustainable development
    Rabeb Hamdi
    Meriem Salah Eddine Touati
    Bashayr Nasser Alsharif
    Environment, Development and Sustainability, 2024, 26 (12) : 32217 - 32228
  • [25] SUSTAINABLE ENTREPRENEURSHIP IN THE KINGDOM OF SAUDI ARABIA: A SYSTEMATIC EVALUATION OF EXTANT RESEARCH
    Kayal, Ghadeer
    ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES, 2024, 11 (03): : 85 - 98
  • [26] Managing the transition of Saudi new graduate nurses into clinical practice in the Kingdom of Saudi Arabia
    Fielden, Jann M.
    JOURNAL OF NURSING MANAGEMENT, 2012, 20 (01) : 28 - 37
  • [27] Best fit Energy Market Mode for Kingdom of Saudi Arabia
    Alharbi, Abdullah Matar
    Abdulwahab, Mohammad
    UKSIM-AMSS 10TH EUROPEAN MODELLING SYMPOSIUM ON COMPUTER MODELLING AND SIMULATION (EMS), 2016, : 136 - 139
  • [28] Saudi Arabia: A Kingdom in Peril
    Maisel, Sebastian
    MIDDLE EAST JOURNAL, 2016, 70 (03): : 499 - 501
  • [30] Forecasting and analysis of energy consumption for transportation in the Kingdom of Saudi Arabia
    Taylan, Osman
    Demirbas, Ayhan
    ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2016, 11 (12) : 1150 - 1157