Performance Analysis of Comfort Maximization Model with Five Different Weather Conditions in India

Abstract

In households, maintaining the occupant’s comfort within a comfortable range is very important. In this paper, the mathematical model of three key aspects of occupant’s comfort, which are thermal, air quality and visual comfort, has been developed and analysed in MATLAB. Also, the proposed model has been analyzed for five different cities’ weather conditions in India: Jaipur, Delhi, Mumbai, Kolkata, and Chennai. The presented model is applied to a room in a single-storey standalone residential building. Further, the Particle Swarm Optimization (PSO) algorithm is applied to maximise the occupant’s comfort. To maximise the overall comfort, the proposed model has been implemented in two cases, i.e. equal priority and variable priority for three individual comforts. The results for a typical household show that optimisation can achieve the desired comfort.