Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
Co-simulation focused on the optimization of energy efficiency, thermal comfort and cost of buildings
Submission Author:
Lucas Camilotti , PR
Co-Authors:
Lucas Camilotti, Cassiana Fagundes da Silva, Helon Vicente Hultmann Ayala, Roberto Zanetti Freire
Presenter: Roberto Zanetti Freire
doi://10.26678/ABCM.COBEM2019.COB2019-1213
Abstract
The global demand for electricity has increased in the last few decades and due to this factor, several countries are already assuming computational simulations in order to design energy efficient buildings with the objective of reducing energy demand of the sector. Based on three main objectives: i) the reduction of energy consumption; ii) the increase of occupants' thermal comfort; and iii) the reduction of costs associated with building materials; the present work presents an approach involving whole-building energy simulation and bio-inspired metaheuristic optimization. By comparing four techniques: Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), and Competition over Resources (COR), an approach to solve a multi-objective optimization problem in building design was proposed. Techniques to reduce the overall complexity of the problem are addressed in order to make the solution of this problem viable, and a comparison among all the algorithms is presented. Results show that it is possible to reduce energy usage, materials cost and thermal comfort simultaneously. However, restrictions imposed to the problem can significantly reduce the optimization associated to these three objectives.
Keywords
Building Simulation, Cost Reduction, energy efficiency, metaheuristic optimization, thermal comfort
