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A Fully Distributed Genetic Algorithm for Global Optimization of HVAC Systems

  • Shiqiang Wang
  • Jianchun XingEmail author
  • Juelong Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)

Abstract

To solve the high labor and maintenance cost problems in actual engineering, a decentralized heating, ventilation, and air-conditioning (HVAC) system is configured following its physical layout. In a decentralized HVAC control system, each of the updated smart equipment can communicate with the adjacent nodes collaboratively to fulfill the load requirement. Furthermore, to achieve the global optimal operation of an HVAC system, a fully distributed constrained optimization is formulated. In this paper, a fully distributed genetic algorithm (GA) is developed to solve the proposed constrained optimization. The proposed method is confirmed to be effective to realize the global optimization of HVAC system through simulation study.

Keywords

HVAC system Global optimization Self-Organizing Decentralized genetic algorithm 

Notes

Acknowledgements

This work is supported by the National Key Research and Development Project of China No. 2017YFC0704100 (entitled New Generation Intelligent Building Platform Techniques).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Defense EngineeringArmy Engineering University of PLANanjingChina

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