Optimal Control Strategy for HVAC Systems Promoting Building Inertia with and without RES

EasyChair Preprint 4594

Abstract

In recent years, the shortage of energy supply has become very important with the significant increase in energy consumption in the industrial, commercial, and residential sectors. The energy consumption and CO₂ emissions of the building sector account respectively for 50% and 60% out of related totals. As a major energy-consuming sector, the adoption of energy efficiency building measures for energy savings and peak demand reduction is a must while maintaining indoor thermal comfort. A technical and adequate approach consists of providing an appropriate thermal mass to store the delivered energy and use it when necessary in addition to investigating real-time energy management strategies for the building. Hence, a case study of the thermal mass impact on a building in a Mediterranean region is developed using DesignBuilder. It takes into consideration five inertial signatures where the heavyweight thermal mass reveals to be the most profitable in terms of energy consumption and Greenhouse gas emissions. Besides, optimal control strategies are implemented using the MOPSO on Matlab, with and without RES for the control of the HVAC system aiming to maintain comfort with high energy efficiency. Simulations show savings of up to 25% in energy consumption without RES and up to 50% with RES.

Keyphrases: Building Inertia, PV, U-value, multiple-objective particle swarm optimization, net metering

@booklet{EasyChair:4594,
  author    = {Rony Ibrahim and Chantal Maatouk},
  title     = {Optimal Control Strategy for HVAC Systems Promoting Building Inertia with and without RES},
  howpublished = {EasyChair Preprint 4594},
  year      = {EasyChair, 2020}}