EconPapers    
Economics at your fingertips  
 

A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems

Xuetao Wang, Qianchuan Zhao and Yifan Wang
Additional contact information
Xuetao Wang: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China
Qianchuan Zhao: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China
Yifan Wang: Department of Automation, BNRist, Center for Intelligent and Networked Systems, Tsinghua University, Beijing 100084, China

Energies, 2020, vol. 13, issue 15, 1-24

Abstract: Motivated by the importance and challenges of the energy saving problem of parallel-connected pumps in heating, ventilation, and air-conditioning (HVAC) systems, we propose a distributed optimal control algorithm for on-off status and flow rate set points of parallel-connected pumps in HVAC systems. The proposed algorithm consists of two parts: First, in order to process the network information, we apply the breadth first search algorithm to construct a tree for exchanging messages. Second, all nodes coordinate with each other and randomly sample the speed ratios. To our best knowledge, the algorithm proposed in this paper is the first effort to address the challenges of existing studies at the same time. The algorithm solves the pump optimization problem in a distributed manner, achieves the minimum pump energy consumption and has the convergence guarantee. Even if some of the pumps break down, the whole system can still be working and have great flexibility. Simulation experiments on six parallel-connected pumps are provided for different working cases to demonstrate the effectiveness of the proposed algorithm and compare with the other four methods. The results show that our algorithm strictly satisfies the demand constraints and presents good energy saving potential, the convergence guarantee, and flexibility. The maximum energy saving can be up to 29.92%.

Keywords: distributed; parallel-connected pumps; speed ratio; optimal control; spanning tree (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/15/3927/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/15/3927/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:15:p:3927-:d:393019

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3927-:d:393019