Multi-zone Building Energy and Comfort Management using Computational Intelligence Approach

Authors

  • Ee May Kan School of Engineering, Nanyang Polytechnic 180 Ang Mo Kio Ave 8, 569830 Singapore
  • Siew Leong Kan School of Engineering, Nanyang Polytechnic 180 Ang Mo Kio Ave 8, 569830 Singapore
  • Ngee Hoo Ling School of Engineering, Nanyang Polytechnic 180 Ang Mo Kio Ave 8, 569830 Singapore
  • Yvonne Soh Singapore Green Building Council 390, Havelock Rd, 169662 Singapore
  • Matthew Lai Advantech Co Singapore Serangoon North Ave 5, 554910 Singapore

Keywords:

Smart buildings, comfort management, multi-zone building control, optimization. This paper is a revised and expanded version of a paper entitled “Multi-zone Building Control System for Energy and Comfort Management” presented at the 15th International Conference on Hybrid Intelligent Systems, Seoul, Nov 2015.

Abstract

Smart buildings are a trend of next-generation’s buildings, which allow people to enjoy more convenience, comfort and energy savings. One of the most important challenges on smart and energy-efficient buildings is to minimize the building energy consumption without compromising human comfort. This study proposes a multizone building control system coupled with an intelligent optimizer for effective energy and comfort management. Hybrid metaheuristic algorithm is utilized to optimize the overall system and enhance the intelligent control of the building in multiple zones. Experimental results and comparisons with other approaches demonstrate the overall performance and potential benefits of the proposed system.

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Published

2016-01-01

How to Cite

Ee May Kan, Siew Leong Kan, Ngee Hoo Ling, Yvonne Soh, & Matthew Lai. (2016). Multi-zone Building Energy and Comfort Management using Computational Intelligence Approach. International Journal of Computer Information Systems and Industrial Management Applications, 8, 10. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/312

Issue

Section

Original Articles