A multi-criteria optimization analysis for Jordan's energy mix

Malkawi, Salaheddin; Al‐Nimr, M. A.; Azizi, Danah

doi:10.1016/j.energy.2017.04.015

Cited by 65 publications

(31 citation statements)

References 25 publications

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“…They ranked alternatives as solar, wind, biomass, geothermal, and hydropower. Malkawi et al applied AHP as a MCDM method to rank electric energy options for Jordan. They developed different scenarios and evaluated energy alternatives according to these scenarios.…”

Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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Energy consumption increases all over the world as a result of industrialization in recent years. In this context, it has become important to meet increasing energy demand. It is significant to find alternative energy sources because of limited nonrenewable energy sources such as coal, petroleum, and natural gas. At this point, renewable energy sources have an important role to meet energy requirement. As a result, decision and policy making for energy is completely critical issue for countries. Various technical, economic, environmental, and social criteria are used to solve energy policy and decision-making problems such as evaluation of energy projects, selection among energy alternatives, power plant site selection, and determining energy policy. Multicriteria decision-making (MCDM) methods are used as effective tools to help decision makers while solving energy problems. There are a large number of studies including articles, conference papers, and book chapters, which examine energy problems by using MCDM methods in the literature. Therefore, analyzing these studies according to different features such as publication year, MCDM method, document type, statistical analyses, country, and published journal can be beneficial for leading researchers who study in energy decision-making field. In this study, published papers, which use traditional MCDM methods to handle energy problems, are examined systematically. By the way, it is aimed to lead to researchers regarding MCDM methods which are utilized in energy applications. It also conducted some statistical analyses to obtain trends between years and MCDM methods. Besides, recent developments in energy field are presented through this comprehensive literature review.

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Section: Use Of Mcdm Methods For Energy Policy and Decision Makingmentioning

confidence: 99%

Use of MCDM techniques for energy policy and decision-making problems: A review

2018

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“…• Acceptance of residents (C42) [11,43]: Public acceptability expresses the overview of opinions related to the energy systems by the local residents.…”

Section: Social Aspect (C4)mentioning

confidence: 99%

Sustainability Performance Evaluation of Hybrid Energy System Using an Improved Fuzzy Synthetic Evaluation Approach

Zhang

Xin

Kan³

2019

Sustainability

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The hybrid energy system (HES) has attracted more and more attention since it can not only achieve multi-energy supply but realize cascade utilization of energy resources. However, the performances of the HES in relation to economic, environmental, social, and technological aspects are rarely studied. Therefore, this paper tries to fill this research gap to evaluate the sustainability performance of an HES. First, an evaluation criteria system is established based on a literature review. After that, the group analytic hierarchy process (GAHP) technique is used to obtain the importance weights of these criteria. Later, the sustainability performance of the HES is calculated through an improved fuzzy synthetic evaluation (FSE) approach based on a cloud model. The applicability of this approach is demonstrated by a real case study in Zhejiang province, China. Finally, the sensitivity analysis results reveal that the overall consequence is that the performance of an HES is robust when the criteria weight is floating within a certain range (−30–30%), and the comparative analysis with the traditional FSE also reveals that the proposed approach is superior.

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“…Fifty-five papers out of the reviewed studies integrated hybrid MCDA and fuzzy MCDA with respect to energy management and 49 papers used fuzzy AHP and classical AHP, while 25 papers applied MCDA and MCA techniques. Malkawi et al [17] accessed and classified the electricity generation alternatives for Jordan using AHP. The ranking of the alternatives was based on economic, technical, environmental, social, and risk assessment.…”

Section: Multicriteria Models In Energy Studymentioning

confidence: 99%

Determination of a Suitable Renewable Energy Source for Mini-Grid Business: A Risk-Based Multicriteria Approach

Ighravwe

Babatunde

2018

Journal of Renewable Energy

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The mini-grid proliferation has helped to improve the current state of electricity supply in several rural areas in developing countries. This is due to the innovations in renewable energy technologies. The impact of this development is the establishment of mini-grid business. There is a need for mini-grid business owners to identify the most suitable energy source for a particular area. To achieve this, proper analysis of risks that impact mini-grid business operations is required for optimal energy source selection. The current study addresses this problem by proposing a conceptual framework that considered risk factors. The conceptual framework analysed scenarios where expected risk values are specified and not specified by decision-makers. This was achieved using fuzzy axiomatic design (FAD), intuitionistic entropy method, and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods. The TOPSIS and FAD results were combined using WASPAS (weighted aggregated sum product assessment) method. The proposed conceptual framework was applied in sub-Sahara Africa, Lagos, Nigeria. During the application of the proposed framework, five renewable energy sources and thirteen types of risks were considered. Information from four decision-makers was used to demonstrate the applicability of the framework. The results obtained showed that unpredictable electricity demand and construction completion risks were identified as the least and most important risks for the selection of renewable energy sources for mini-grid, respectively. The FAD and TOPSIS methods identified wind and biomass energy as the best-ranked energy source for mini-grid business, respectively. The WASPAS method and the FAD results were the same.

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A multi-criteria optimization analysis for Jordan's energy mix

Cited by 65 publications

References 25 publications

Use of MCDM techniques for energy policy and decision-making problems: A review

Use of MCDM techniques for energy policy and decision-making problems: A review

Sustainability Performance Evaluation of Hybrid Energy System Using an Improved Fuzzy Synthetic Evaluation Approach

Determination of a Suitable Renewable Energy Source for Mini-Grid Business: A Risk-Based Multicriteria Approach

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