GA-FBHCL: A method for the best HVAC location

This paper offers a novel method with the help of Genetic Algorithm (GA) to find the optimal solution for determining the HVAC location. It wants to follow a world optimal solution to find the best result by removing the limitations such as unknown fitness conditions, instability, noise, as well as much local minimum. This new method is called GA for Best Heating-Cooling Location (GA-FBHCL). According to our prior work which have accommodated the Taguchi method for the aims of Building Energy Modelling (BEM) and optimization to forecast the best heating and cooling appliances location in one of the Toos Arman Star Apartment Hotel units in Mashhad, Iran, now we introduce a new theory and design with the help of GA for this goal which the EM results achieved from the GA-FBHCL method are 5-9% better than the Taguchi method and initial design of room. This approach can be utilized with project developers, policymakers and researchers as a new globally approach in construction industry.

Novel Method , GA , BEM , optimization , Best Location , Heating , Cooling , CV-RMSE , GA-FBHCL