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Energy planning in buildings under uncertainty in fuel costs: The case of a hospital in Greece

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dc.contributor.author Mavrotas, G en
dc.contributor.author Florios, K en
dc.contributor.author Georgiou, P en
dc.date.accessioned 2014-03-01T01:24:18Z
dc.date.available 2014-03-01T01:24:18Z
dc.date.issued 2006 en
dc.identifier.issn 15707946 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17206
dc.subject Fuzzy optimization en
dc.subject MILP en
dc.subject Multiobjective en
dc.subject Utility systems en
dc.title Energy planning in buildings under uncertainty in fuel costs: The case of a hospital in Greece en
heal.type journalArticle en
heal.identifier.primary 10.1016/S1570-7946(06)80298-1 en
heal.identifier.secondary http://dx.doi.org/10.1016/S1570-7946(06)80298-1 en
heal.publicationDate 2006 en
heal.abstract Hospitals are among the largest energy consumers in the tertiary sector where energy planning may greatly facilitate investment decisions for efficienty meeting energy demand. In this case study the energy rehabilitation of a hospital is examined and due to the recent conditions some new energy alternatives are investigated: a CHP unit for providing power and heat, an absorption unit or/and a compression unit for providing cooling load. The basic innovation of the above mentioned energy model is that it is designed to handle uncertainty in the most uncertain parameters of the objective function, namely, the fuel costs and the interest rate used for the investment discouting of new units. These uncertain parameters are modeled as Triangular Fuzzy Numbers (TFN) and the MILP model is appropriately transformed into a multiobjective MILP model. The solution of the multiobjective model provides the pareto set which means the candidate designs under the existent uncertainty. © 2006 Elsevier B.V. All rights reserved. en
heal.journalName Computer Aided Chemical Engineering en
dc.identifier.doi 10.1016/S1570-7946(06)80298-1 en
dc.identifier.volume 21 en
dc.identifier.issue C en
dc.identifier.spage 1735 en
dc.identifier.epage 1740 en


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