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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Heat Transfer Research
Импакт фактор: 0.404 5-летний Импакт фактор: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Печать: 1064-2285
ISSN Онлайн: 2162-6561

Выпуски:
Том 51, 2020 Том 50, 2019 Том 49, 2018 Том 48, 2017 Том 47, 2016 Том 46, 2015 Том 45, 2014 Том 44, 2013 Том 43, 2012 Том 42, 2011 Том 41, 2010 Том 40, 2009 Том 39, 2008 Том 38, 2007 Том 37, 2006 Том 36, 2005 Том 35, 2004 Том 34, 2003 Том 33, 2002 Том 32, 2001 Том 31, 2000 Том 30, 1999 Том 29, 1998 Том 28, 1997

Heat Transfer Research

DOI: 10.1615/HeatTransRes.2015010744
pages 259-275

COMPREHENSIVE EVALUATION OF POWER SUPPLY SYSTEMS FOR COMMERCIAL BUILDINGS BASED ON GRAY RELATIONAL ANALYSIS AND ANALYTIC HIERARCHY PROCESS

Qingqing Yong
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China; Department of Electric Engineering, Shanghai Dianji Univeristy, Shanghai, 200120, China
mo yang
university of shanghai for science and technology
W. Lu
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
J. Chen
Department of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Краткое описание

This study establishes a scientific, reasonable, and feasible comprehensive evaluation system for green building's power supply system design and implementation to achieve optimization of their thermal, environmental, and economic performance. Unlike traditional evaluation methods that use single index such as economic performance or exergy efficiency for the criterion, the proposed evaluation method takes annual revenue, exergy efficiency, CO2 emission, and system reliability as indices. This advanced comprehensive evaluation method is based on a combination of the method of the gray relational analysis (GRA) and the analytic hierarchy process (AHP) to assess the multiobjective performance of building's power supply systems. The method is applied to compare four kinds of the power supply system of a hospital to determine the optimal system. The result shows that the system which combines cooling, heating, and power supply systems (CCHP) adding solar photovoltaic (PV) panels has the best comprehensive performance when the capacitance of solar PV panels is large enough.