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 |