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An Optimization Model for the Selection of Renovation Actions in a Building

In: Driving Quality Management and Sustainability in VUCA Environments

Author

Listed:
  • Miguel Moura

    (Engineering University of Porto (FEUP))

  • Alcinda Barreiras

    (School of Engineering of Porto (ISEP) - Polytechnic of Porto)

  • Maria Teresa Pereira

    (School of Engineering of Porto (ISEP) - Polytechnic of Porto
    Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI))

  • Marisa Oliveira

    (Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI))

Abstract

In Portugal, as in all of Europe, there has been a growing concern about energy poverty and its impact on people’s health and well-being. Rehabilitating and making buildings more energy efficient allows for the reduction of energy consumption, that is, transforming existing buildings into near-zero energy buildings (nZEB). Energy consumption in buildings can be reduced by implementing measures to improve energy efficiency. However, the choice of improvement measures to be implemented needs to be optimized since, in general, they require investments, despite causing a decrease in energy costs. The research provides a linear programming optimization approach based on a bi-objective knapsack model to pick the portfolio of actions to undertake while analysing energy consumption reductions and investment payback periods. The model enables the selection of the investments required for the building to achieve nZEB certification. A case study is used to illustrate the model.

Suggested Citation

  • Miguel Moura & Alcinda Barreiras & Maria Teresa Pereira & Marisa Oliveira, 2024. "An Optimization Model for the Selection of Renovation Actions in a Building," Springer Proceedings in Business and Economics, in: João Reis & Tiago Pinho & Vítor Barbosa & Luís Barreto & Sandrina B. Moreira & Pedro Pardal & João N (ed.), Driving Quality Management and Sustainability in VUCA Environments, pages 45-55, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-52723-4_4
    DOI: 10.1007/978-3-031-52723-4_4
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