Journal Article

Title Energy efficiency improvement of buildings by using linear programming
Author Ecer, B. ; Dağdeviren, M. & Kabak, M.
Published on 16 Jul 2019
Published by Technische Universität Wien
Published in Issue 18 • 2019 , pages 38-50
Keywords (English) Building energy efficiency, Inverse multiple criteria sorting problem, Linear programming
AC AC15416877
DOI 10.34749/jfm.2019.3209
URN urn:nbn:at:at-ubtuw:4-3209


Download Energy efficiency improvement of buildings by using linear programming [210.0 KB]

Abstract (English)

Energy efficiency is an important issue. Innovative technologies are developed in order to make buildings better at energy efficiency. Energy efficiency labels are used around the world to show how much energy efficient a building is. This labelling process is an assignment of buildings into predefined classes. If we consider the assignment problem has multiple criteria to consider and the classes are ordered, this problem can be handled by using multiple criteria sorting techniques. Furthermore, Inverse Multiple Criteria Sorting Problem (IMSCP) is concerned with the selection among the possible actions, which can change objects state in terms of criteria to obtain a better sorting of objects. In this study, a linear programming model of IMSCP is proposed to construct an energy efficiency improvement plan for buildings. The main aim is to choose the actions, which give us the desired labels at minimum cost. An illustrative example is presented to demonstrate the applicability of the proposed model. Solution results prove that this model is appropriate for energy efficiency improvement of buildings.


CC BY-NC 2.0 DE Creative Commons Attribution-NonCommercial 2.0 Germany