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Study on the Control Method of Temperature and Humidity Environment in Building Intelligent System Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A P2P Algorithm for Energy Saving of a Parallel-Connected Pumps System

Authors : Qianchuan Zhao, Xuetao Wang, Yifan Wang, Ziyan Jiang, Yunchuang Dai

Published in: Advancements in Smart City and Intelligent Building

Publisher: Springer Singapore

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Abstract

A distributed optimal control algorithm is investigated, in this paper, to deal with the problem in a peer-to-peer (P2P) control setting for parallel pumps in heating, ventilation, and air-conditioning (HVAC) systems. Each pump is equipped with a controller and becomes an intelligent node (as a peer), and nodes are equal, self-organizing, and mutually coordinated. When the HVAC system provides the pressure difference and flow rate, each intelligent node applies the random generation of the speed ratio samples method. Then, the nodes coordinate with each other and constantly optimize the speed ratio of each pump, so that the total energy consumption of the system tends to be minimum. Simulation experiment results are provided to demonstrate the performance of the proposed algorithm.

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previous chapter Study on the Characteristics of Vehicle Lane-Changing in the Intersection
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Metadata
Title
A P2P Algorithm for Energy Saving of a Parallel-Connected Pumps System
Authors
Qianchuan Zhao
Xuetao Wang
Yifan Wang
Ziyan Jiang
Yunchuang Dai
Copyright Year
2019
Publisher
Springer Singapore
Book
Advancements in Smart City and Intelligent Building

Print ISBN: 978-981-13-6732-8

Electronic ISBN: 978-981-13-6733-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-6733-5_36