Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt

Abudeif, A.M.; Moneim, A.A. Abdel; Farrag, A.F.

doi:10.1016/j.anucene.2014.09.024

Cited by 84 publications

(59 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(1) Ecological environment influence (C51) [17,50,53,54,73,[75][76][77][78]80,84]. The construction and operation procedures would have many adverse effects on the local vegetation and water, so it is preferable to minimize the extent of the damage.…”

Section: Environmental Factorsmentioning

confidence: 99%

“…The ideal location of the charging station is as close as possible to the substation. (2) Influence on the power system (C22) [53,70,[75][76][77]: As an important component of medium and low-voltage distribution systems, the charging station could inevitably have an adverse impact on the power stability. As a result, the charging station should be located an area away from the heavy load lines to ensure the secure operation of the distribution network.…”

Section: Engineering Feasibilitymentioning

confidence: 99%

“…(2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station. (3) Service radius (C33) [34,50,71,76,80]: On the one hand, it is inappropriate to keep away from the adjacent charging stations for the sake of running capacity of the EV and daily needs of the users. On the other hand, the short distance from the adjacent charging stations is also inapposite for giving rise to the waste of resources.…”

Section: Service Availabilitymentioning

confidence: 99%

“…(1) Convenience of transportation (C31) [34,50,54,[71][72][73][76][77][78][80][81][82][83]: The parameter which contains the condition of main road, the number of lanes and the number of intersections near the charging station, is critical to the realization of high profit and convenience. (2) Service capability (C32) [71,73,76,81]: It is defined as the daily service volume as well as the maximum number of EV that could get access to the charging service provided by the charging station.…”

Section: Service Availabilitymentioning

confidence: 99%

“…(1) Distance from the substation (C21) [50,54,70,[75][76][77][78][79]: In the power market this is an important parameter for it is related to power supply reliability, degree of power loss and project cost. The ideal location of the charging station is as close as possible to the substation.…”

Section: Engineering Feasibilitymentioning

confidence: 99%

See 4 more Smart Citations

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

et al. 2016

View full text Add to dashboard Cite

Abstract:The task of site selection for electric vehicle charging stations (EVCS) is hugely important from the perspective of harmonious and sustainable development. However, flaws and inadequacies in the currently used multi-criteria decision making methods could result in inaccurate and irrational decision results. First of all, the uncertainty of the information cannot be described integrally in the evaluation of the EVCS site selection. Secondly, rigorous consideration of the mutual influence between the various criteria is lacking, which is mainly evidenced in two aspects: one is ignoring the correlation, and the other is the unconscionable measurements. Last but not least, the ranking method adopted in previous studies is not very appropriate for evaluating the EVCS site selection problem. As a result of the above analysis, a Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method-based decision system combined with the cloud model is proposed in this paper for EVCS site selection. Firstly, the use of the PROMETHEE method can bolster the confidence and visibility for decision makers. Secondly, the cloud model is recommended to describe the fuzziness and randomness of linguistic terms integrally and accurately. Finally, the Analytical Network Process (ANP) method is adopted to measure the correlation of the indicators with a greatly simplified calculation of the parameters and the steps required.

show abstract

Section: Environmental Factorsmentioning

confidence: 99%

Section: Engineering Feasibilitymentioning

confidence: 99%

Section: Service Availabilitymentioning

confidence: 99%

Section: Service Availabilitymentioning

confidence: 99%

Section: Engineering Feasibilitymentioning

confidence: 99%

See 3 more Smart Citations

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

et al. 2016

View full text Add to dashboard Cite

show abstract

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

2018

View full text Add to dashboard Cite

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.

show abstract

A two‐stage decision framework for inland nuclear power plant site selection based on GIS and type‐2 fuzzy PROMETHEE II: Case study in China

Liu

Huang

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

Site selection is a critical strategic decision for inland nuclear power plants which have broad prospects of development. However, several shortcomings exist in current researches, such as the incomplete decision frameworks, the indiscriminately treated properties, and the information loss. To handle the above flaws, this study establishes a two‐stage site selection framework. In the first stage, the geographic information system and preselection criteria are applied to identify suitable alternative sites. And in the second stage, the interval type‐2 fuzzy PROMETHEE II and suitability criteria are utilized to rank alternatives and select the optimal site, where different preference functions are selected accordingly. Thereinto, the interval type‐2 fuzzy numbers are adopted to describe the uncertainty and vagueness in calculation, without being transformed to exact value. Finally, based on the proposed two‐stage decision framework, a case of Hunan, Hubei, and Jiangxi provinces is studied, to demonstrate its validity and practicability. The results show that S8 is selected as the optimal site for its strong government support, convenient fuel transport, and land availability. This study not only enriches the material databases for inland nuclear power plant site selection, but also offers theoretical reference for site selection studies of various objects.

show abstract

Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt

Cited by 84 publications

References 5 publications

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

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

A two‐stage decision framework for inland nuclear power plant site selection based on GIS and type‐2 fuzzy PROMETHEE II: Case study in China

Contact Info

Product

Resources

About