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A Mixed-Integer Programming Model for Assessing Energy-Saving Investments in Domestic Buildings under Uncertainty

Panagiotis Kontogiorgos, Nikolaos Chrysanthopoulos and George P. Papavassilopoulos
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Panagiotis Kontogiorgos: School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytexneiou Str., 15773 Zografou, Greece
Nikolaos Chrysanthopoulos: School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytexneiou Str., 15773 Zografou, Greece
George P. Papavassilopoulos: School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytexneiou Str., 15773 Zografou, Greece

Energies, 2018, vol. 11, issue 4, 1-14

Abstract: A decision support tool has been developed to evaluate energy-saving intervention investments for domestic buildings. Various potential interventions are considered, each affecting energy consumption and savings, as well as the total financial cost of the investment. The decision problem is formulated as a mixed-integer programming problem. The implemented methodologies increase the efficiency and efficacy of the solution algorithms and can be applied to most realistic cases. The tool allows users to customize the problem based on their own preferences and find the optimal combination of investments. Uncertainty complicating the decision process is addressed by using interval analysis; therefore, the robustness of the optimal decision can be evaluated to facilitate the decision-making process. A domestic building in the Mediterranean area is used as a case study to demonstrate the functionality of this tool and to evaluate the impact of the decision-maker’s uncertainty on the optimal decision.

Keywords: energy efficiency; interval analysis; mixed-integer programming; decision support systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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