Research Papers

Photovoltaic Technology Selection Using Analytical Hierarchical Process

[+] Author and Article Information
Shafique Muhammad

University of Engineering and Technology Taxila,
Taxila 47050, Pakistan
e-mail: shafiq2136@yahoo.com

Tahir Mahmood

Associate Professor
Department of Electrical and Electronics
University of Engineering and Technology Taxila,
Taxila 47050, Pakistan
e-mail: tahir010@yahoo.com

Muhammad Ahmad Choudhry

Dean of Electrical and Electronics Department,
University of Engineering and Technology Taxila,
Taxila 47050, Pakistan
e-mail: dr.ahmad@uettaxila.edu.pk

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received August 4, 2014; final manuscript received December 8, 2014; published online February 18, 2015. Assoc. Editor: Santiago Silvestre.

J. Sol. Energy Eng 137(2), 021018 (Apr 01, 2015) (12 pages) Paper No: SOL-14-1224; doi: 10.1115/1.4029543 History: Received August 04, 2014; Revised December 08, 2014; Online February 18, 2015

While suffering from looming power crisis, high level of annual average solar irradiance makes the Pakistan ideally suitable for photovoltaic technologies. Deciding for a photovoltaic (PV) technology definitely requires a comprehensive research because output characteristics of each of the five major PV technologies depend on different technical as well as environmental characteristics (including solar irradiation, cell’s temperature, humidity, dust accumulation, angle of incidence, solar spectrum, wind’s speed, wind’s direction, and shading). Only one technology can perform best in a specific geographical location. In addition, before installing any PV generation facility, preferences of the decision-making authority and the attributes of the selected installation area must be considered. To address such a complex decision making problem, PV technology alternatives are ranked by use of an analytical hierarchical process (AHP) in which all the decision-making factors are arranged in a hierarchical tree showing their level of influence in the decision-making. A PV technology for installation is devised after a detailed pairwise comparison, for a specific location of Pakistan with respect to (w.r.t.) the government’s perspective. Useful guidelines with detailed comparison among five major PV technologies make this work a reference guide for the policy making institutes in particular and customer/entrepreneur in general.

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Grahic Jump Location
Fig. 1

Hierarchical structure of attributes [2]




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