Optimization of MVAC systems for energy management by evolutionary algorithm

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dc.contributor.author Fong, Kwong Fai
dc.contributor.author Hanby, V. I. (Victor Ian), 1942-
dc.contributor.author Chow, Tin-Tai
dc.date.accessioned 2007-12-14T11:25:57Z
dc.date.available 2007-12-14T11:25:57Z
dc.date.issued 2003
dc.identifier.citation Fong, Kwong-Fai, Hanby, Victor Ian and Chow, Tin-Tai (2003) Optimization of MVAC systems for energy management by evolutionary algorithm. Facilities, 21 (10), pp. 223-232. en
dc.identifier.issn 0263-2772
dc.identifier.other IR/2007/2
dc.identifier.uri http://hdl.handle.net/2086/73
dc.description.abstract Energy management in existing building services installations is an essential focus of contemporary facilities management. The subway company that is one of the major utilities services in Hong Kong Special Administrative Region (HKSAR) has considered better energy management schemes in its subway stations to reduce the running cost. In the past few years, in order to achieve energy saving in the stations, some feasible measures in the Mechanical Ventilation and Air Conditioning (MVAC) systems were implemented, however the engineering decisions were supported by the trial-and-error or imprecise estimation. Improvement to this process would be possible if numerical optimization methods were to be used. Evolutionary algorithm coupled with external plant simulation programme was applied to determine the optimum conditions of the essential parameters of the MVAC systems, in order to provide a holistic energy management approach. For the centralized MVAC systems of the 5 subway stations under studies, the developed optimization and simulation model was found useful to appraise the energy management opportunities for effective design and facilities management. en
dc.language.iso en en
dc.publisher Emerald en
dc.subject air diffusion en
dc.subject optimization techniques en
dc.subject energy management en
dc.subject Hong Kong en
dc.subject evolutionary algorithm en
dc.subject optimization en
dc.subject MVAC systems en
dc.title Optimization of MVAC systems for energy management by evolutionary algorithm en
dc.type Preprint en
dc.identifier.doi https://doi.org/10.1108/02632770310493599
dc.researchgroup Institute of Energy and Sustainable Development

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