Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.renene.2011.11.017
DC FieldValue
dc.titleIntegrating renewable energy technologies to support building trigeneration - A multi-criteria analysis
dc.contributor.authorChua, K.J.
dc.contributor.authorYang, W.M.
dc.contributor.authorWong, T.Z.
dc.contributor.authorHo, C.A.
dc.date.accessioned2014-06-17T06:24:50Z
dc.date.available2014-06-17T06:24:50Z
dc.date.issued2012-05
dc.identifier.citationChua, 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
dc.identifier.issn09601481
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/60573
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.renene.2011.11.017
dc.sourceScopus
dc.subjectMulti-criteria analysis
dc.subjectRenewable energy
dc.subjectSimulation
dc.subjectTrigeneration
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1016/j.renene.2011.11.017
dc.description.sourcetitleRenewable Energy
dc.description.volume41
dc.description.page358-367
dc.identifier.isiut000301029600041
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

34
checked on Dec 2, 2020

WEB OF SCIENCETM
Citations

29
checked on Dec 2, 2020

Page view(s)

77
checked on Dec 1, 2020

Google ScholarTM

Check

Altmetric


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