A Digital Twin framework for multi-objective optimization

This thesis represents the culmination of the Msc civil engineering course at the University of Agder. This thesis aims to attempt to define a framework for implementing digital twins in an investment cost/energy consumption optimization process. The methodology applied is a complex software hierarchy. The original dataset rests on randomly generated values of thermal transmittance, which are analysed in IDA ICE simulations, and compared to existing materials identified in the Norsk Prisbok for cost estimation. The results are optimized using a combination of Artificial Neural Networks and a multi-objective optimization algorithm, the elitist non-dominated sorting algorithm NSGA-II. The res…