Software-supported identification of an economically optimized retrofit order by minimizing life-cycle costs using a genetic algorithm including constraints

Abstract Old buildings, heterogeneity concerning building characteristics within districts and a high energy heating consumption characterize the building stock of many institutions. Hence, a high potential for reducing heating consumption is given by retrofitting buildings. In this context, it must be assumed that most of the institutions are not able to carry out a near-termed re-development of all their properties for financial as well as organizational reasons. This paper provides a method to deduce an optimized retrofit order of buildings by minimizing life-cycle costs, considering financial and organizational factors.