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

Miguel Moura, Alcinda Barreiras, Maria Teresa Pereira () and Marisa Oliveira
Additional contact information
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
Marisa Oliveira: Associate Laboratory for Energy, Transports and Aerospace (LAETA-INEGI)

A chapter in Driving Quality Management and Sustainability in VUCA Environments, 2024, pp 45-55 from Springer

Abstract: 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.

Keywords: Energy buildings; Energy consumption; Energy efficiency; Linear optimization model (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-52723-4_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031527234

DOI: 10.1007/978-3-031-52723-4_4

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().