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    Photovoltaic Technology Selection Using Analytical Hierarchical Process

    Source: Journal of Solar Energy Engineering:;2015:;volume( 137 ):;issue: 002::page 21018
    Author:
    Muhammad, Shafique
    ,
    Mahmood, Tahir
    ,
    Ahmad Choudhry, Muhammad
    DOI: 10.1115/1.4029543
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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 decisionmaking 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 decisionmaking factors are arranged in a hierarchical tree showing their level of influence in the decisionmaking. 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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      Photovoltaic Technology Selection Using Analytical Hierarchical Process

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/159590
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    • Journal of Solar Energy Engineering

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    contributor authorMuhammad, Shafique
    contributor authorMahmood, Tahir
    contributor authorAhmad Choudhry, Muhammad
    date accessioned2017-05-09T01:23:25Z
    date available2017-05-09T01:23:25Z
    date issued2015
    identifier issn0199-6231
    identifier othersol_137_02_021018.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/159590
    description abstractWhile 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 decisionmaking 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 decisionmaking factors are arranged in a hierarchical tree showing their level of influence in the decisionmaking. 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePhotovoltaic Technology Selection Using Analytical Hierarchical Process
    typeJournal Paper
    journal volume137
    journal issue2
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4029543
    journal fristpage21018
    journal lastpage21018
    identifier eissn1528-8986
    treeJournal of Solar Energy Engineering:;2015:;volume( 137 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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