Optimization Control for Dynamic Thermal Comfort in an Intelligent Inhabitation Environment

Abstract:

Comfortable, healthy, and energy-saving indoor environments can be obtained via a dynamic thermal comfort control. Difficulties to design an optimal control system for a dynamic thermal environment arise due to the lack of coordinative control evaluation methods for conflicting comfort and energy-saving indices. An improved multi-objective algorithm based on discrete PSO (Particle Swarm Optimization) is proposed to calculate the optimal values of parameters in the dynamic comfort control system based on users balance between the comfort and energy conservation. No a priori information or physical indoor environment model is needed. Experiment results demonstrate the effectiveness of the proposed control method.

• Periodical: Advanced Materials Research (Volumes 816-817)
• Pages: 371-374
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.816-817.371
• Online since: September 2013
• Authors: Pei Yong Duan, Hui Li, Cong Cong Liu
• Keywords: Dynamic Thermal Comfort, Multi-Objective PSO Algorithm, Optimization Control

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