Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP)

Ali, Yousaf; Butt, Masab; Sabir, Muhammad; Mumtaz, Ubaid Ullah; Salman, Ali

doi:10.1080/23307706.2017.1346490

Cited by 47 publications

(27 citation statements)

References 16 publications

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“…In the meantime, Yousaf Ali et al [32] have only identified six key criteria (i.e., wind speed, wind power density, capacity factor, transport cost, distance from grid station, and population density) for wind project site selection, but have not implemented these criteria. Pamučar et al [33] have investigated suitable locations for wind projects installation in Serbia with seven main criteria namely, wind speed average, land cover/use, distance from main communication, slope, orientation aspect, distance from urban places, and distance from power lines.…”

Section: Factor Analysis (Fa)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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Pakistan has sufficient wind energy potential across various locations of the country. However, so far, wind energy development has not attained sufficient momentum matching its potential. Amongst various other challenges, the site selection for wind power development has always been a primary concern of the decision-makers. Principally, wind project site selection decisions are driven by various multifaceted criteria. As such, in this study, a robust research framework comprising of factor analysis (FA) of techno-economic and socio-political factors, and a hybrid analytical hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) have been used for the prioritization of sites in the southeastern region of Pakistan. The results of this study reveal economic and land acquisition as the most significant criteria and sub-criteria, respectively. From the eight different sites considered, Jamshoro has been prioritized as the most suitable location for wind project development followed by Hyderabad, Nooriabad, Gharo, Keti Bandar, Shahbandar, Sajawal, and Talhar. This study provides a comprehensive decision support framework comprising of FA and a hybrid AHP and Fuzzy TOPSIS for the systematic analysis to prioritize suitable sites for the wind project development in Pakistan.

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Section: Factor Analysis (Fa)mentioning

confidence: 99%

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

et al. 2018

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“…AHP is based on the principle that decision maker's experience and knowledge are as important as the available data. Various studies have applied this method 36‐38 . The current methodology is based on the construction of a hierarchical model to implement the problem, which allows pairwise comparisons, that are based on a fundamental comparison scale introduced by Saaty 24 and it is shown in Table 2.…”

Section: Methodsmentioning

confidence: 99%

Multi‐criteria analysis and Geographic Information Systems methods for wind turbine siting in a North Aegean island

Bertsiou

Theochari

Baltas

2020

Energy Science & Engineering

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The need for energy independence of small remoted islands, promote the exploration of renewable energy sources. Greek islands have rich wind potential and subsequently, the attention is being drawn to the use of wind turbines to meet their energy needs. However, the optimal location of wind turbines installation is the basis for the exploitation of high wind potential in combination with the current legislation framework. This paper presents a combined use of Multi‐Criteria Decision‐Making (MCDM) and Geographic Information Systems (GIS) for the evaluation of eligible sites for wind turbine installation in North Aegean island, in Greece. Criteria weights are estimated for three scenarios using the Analytic Hierarchy Process (AHP) for the illustration of the impact on the final design. The minimum distance from the main settlement of the island constitutes an extra constraint for the investigation of the capability of installing wind farms with the lowest possible energy losses due to power transmission via cables. In all scenarios, the prohibited zone corresponds to 27.9% of the total area of the island. Also, sites with high wind potential can be combined with lower altitudes and can give even more suitable locations for installation, reducing, thus, the installation cost. Economic‐oriented scenario appears to combine both low cost and larger surface area for installation. A sensitivity analysis is performed, for determining the impact of the criteria on the suitability of a site. It seems that new suitability maps are affected greater by the type of the chosen criterion rather than the weight.

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“…The basics of AHP methodology involve structuring complex decisions as a hierarchy of goals, criteria, and alternatives, conducting a pairwise comparison of all the elements in each level of the decision hierarchy with respect to each criterion in the previous level of the hierarchy, and vertically synthesizing judgments on different levels of the hierarchy [76] AHP has been applied as a decision-making tool in many contexts due to its simplicity [77]. For instance, it was used in the evaluation and selection of medical tourism sites [78], strategic maintenance technique selection [79], heart disease diagnoses [80], critical criteria influencing the choice of arctic shipping [81], identification of potential aquaculture sites in solar saltscapes [82], ecological vulnerability assessment [83], risk assessment [84], evaluation of high-speed railway (HSR) construction projects [85], selection of suitable sites for wind power in Pakistan [86], and selection of rail system projects [87].…”

Section: A Brief Overview Of Ahpmentioning

confidence: 99%

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

Hamurcu

Eren

2020

Sustainability

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Multicriteria decision-making tools are widely used in complex decision-making problems. There are also numerous points of decision-making in transportation. One of these decision-making points regards clean technology vehicle determination. Clean technology vehicles, such as electric buses, have some advantages compared to other technologies like internal combustion engine vehicles. Notably, electric vehicles emit zero tailpipe emissions, thereby ensuring cleaner air for cities and making these clean technologies preferable to other technologies, especially in highly populated areas for better air quality and more livable cities. In this study, we propose a multicriteria decision-making process using analytic hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in the context of an electric bus in the center of Ankara. Six potential electric bus alternatives were evaluated under seven specific criteria. Overall, EV-2 electric buses outperformed other electric bus alternatives based on the chosen criteria. In addition, the stability of the results obtained under different scenarios using this method was established via sensitivity analysis.

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Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP)

Cited by 47 publications

References 16 publications

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application

Multi‐criteria analysis and Geographic Information Systems methods for wind turbine siting in a North Aegean island

Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation

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