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

Author

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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)

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.

Suggested Citation

  • Panagiotis Kontogiorgos & Nikolaos Chrysanthopoulos & George P. Papavassilopoulos, 2018. "A Mixed-Integer Programming Model for Assessing Energy-Saving Investments in Domestic Buildings under Uncertainty," Energies, MDPI, vol. 11(4), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:989-:d:142031
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    References listed on IDEAS

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    Cited by:

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    3. Spyridon Karytsas & Ioannis Vardopoulos & Eleni Theodoropoulou, 2019. "Factors Affecting Sustainable Market Acceptance of Residential Microgeneration Technologies. A Two Time Period Comparative Analysis," Energies, MDPI, vol. 12(17), pages 1-20, August.

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