Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.renene.2011.11.017
Title: Integrating renewable energy technologies to support building trigeneration - A multi-criteria analysis
Authors: Chua, K.J. 
Yang, W.M. 
Wong, T.Z.
Ho, C.A.
Keywords: Multi-criteria analysis
Renewable energy
Simulation
Trigeneration
Issue Date: May-2012
Source: Chua, K.J.,Yang, W.M.,Wong, T.Z.,Ho, C.A. (2012-05). Integrating renewable energy technologies to support building trigeneration - A multi-criteria analysis. Renewable Energy 41 : 358-367. ScholarBank@NUS Repository. https://doi.org/10.1016/j.renene.2011.11.017
Abstract: This paper evaluates the potential of hybridising renewable technologies to support trigeneration. A model for trigeneration has been developed for simulation and evaluation. The developed trigeneration system aims to be self-sustaining where cooling, heating and power needs of a commercial building are simultaneously fulfilled. The system comprises four key sub-systems, namely, photovoltaic-thermal, solar-thermal, fuel cell, microturbine and absorption chiller-water system. Conventionally, a trigeneration system is analysed based on cost reduction without considering the energy used and the level of carbon dioxide emission. In contrast, this paper presents an analysis of the system using a multi-criteria analysis approach in terms of: (1) operation cost reduction, (2) energy saving; and (3) minimum environmental impact. For the present trigeneration system layout, our result has indicated that a trigeneration system consisting of 80% of microturbine, 10% of photovoltaic-thermal and 10% fuel cell to be the optimum system composition in terms of reducing operational cost, improving energy saving and minimising environment impact. The methodology portrayed in this study provides a pragmatic approach in the design of renewable energy systems to support trigeneration applications. © 2011 Elsevier Ltd.
Source Title: Renewable Energy
URI: http://scholarbank.nus.edu.sg/handle/10635/60573
ISSN: 09601481
DOI: 10.1016/j.renene.2011.11.017
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

21
checked on Dec 13, 2017

WEB OF SCIENCETM
Citations

19
checked on Nov 1, 2017

Page view(s)

30
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.