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Dynamic multi-objective heating optimization
DOI:10.1016/S0377-2217(01)00282-X.png)
Abstract
En 中文
We develop a multicriteria approach to the problem of space heating under a time varying price of electricity. In our dynamic goal programming model the goals are ideal temperature intervals and the other criteria are the costs and energy consumption. We discuss the modelling requirements in multicriteria problems with a dynamic structure and present a new relaxation method combining the traditional epsilon-constraint and goal programming (GP) methods. The multi-objective heating optimization (MOHO) application in a spreadsheet environment with numerical examples is described. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
interval goal programming
multicriteria optimization
residential heating
spreadsheet modelling
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2.2W
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