A decentralized, model-free, global optimization method for energy saving in heating, ventilation and air conditioning systems. (July 2020)
- Record Type:
- Journal Article
- Title:
- A decentralized, model-free, global optimization method for energy saving in heating, ventilation and air conditioning systems. (July 2020)
- Main Title:
- A decentralized, model-free, global optimization method for energy saving in heating, ventilation and air conditioning systems
- Authors:
- Wang, Shiqiang
Xing, Jianchun
Jiang, Ziyan
Dai, Yunchuang - Abstract:
- To solve the challenges of high labour and maintenance cost while saving energy in engineering, a decentralized agent-based model-free global optimization method for heating, ventilation and air conditioning systems is proposed. In this novel optimization method, each updated smart equipment is connected according to the physical relationships, such that it can communicate and collaborate with adjacent nodes. Furthermore, to achieve the overall optimal operation of heating, ventilation and air conditioning systems, a decentralized evolutionary algorithm is developed. With the decentralized algorithm executed in all smart nodes in parallel with the feedback of sensor measurements instead of accurate device models, the system can achieve optimal coordination and avoid conflicts between correlated devices. The equivalence between the centralized and decentralized methods is proven. This method is confirmed to be effective through hardware testing based on actual engineering. Practical application : The traditional optimization methods for heating, ventilation and air conditioning are based on a centralized structure with a series of deficiencies, such as high maintenance and labour costs, link congestion and operational lag. This study presents a novel decentralized structure constructed using basic physical relations and a model-free method that possesses the advantages of plug-and-play, rapid development, great flexibility and convenience for engineering implementationTo solve the challenges of high labour and maintenance cost while saving energy in engineering, a decentralized agent-based model-free global optimization method for heating, ventilation and air conditioning systems is proposed. In this novel optimization method, each updated smart equipment is connected according to the physical relationships, such that it can communicate and collaborate with adjacent nodes. Furthermore, to achieve the overall optimal operation of heating, ventilation and air conditioning systems, a decentralized evolutionary algorithm is developed. With the decentralized algorithm executed in all smart nodes in parallel with the feedback of sensor measurements instead of accurate device models, the system can achieve optimal coordination and avoid conflicts between correlated devices. The equivalence between the centralized and decentralized methods is proven. This method is confirmed to be effective through hardware testing based on actual engineering. Practical application : The traditional optimization methods for heating, ventilation and air conditioning are based on a centralized structure with a series of deficiencies, such as high maintenance and labour costs, link congestion and operational lag. This study presents a novel decentralized structure constructed using basic physical relations and a model-free method that possesses the advantages of plug-and-play, rapid development, great flexibility and convenience for engineering implementation without having to build a central monitor. The case study results validate the efficiency and effectiveness of the proposed method. … (more)
- Is Part Of:
- Building services engineering research & technology. Volume 41:Number 4(2020)
- Journal:
- Building services engineering research & technology
- Issue:
- Volume 41:Number 4(2020)
- Issue Display:
- Volume 41, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 41
- Issue:
- 4
- Issue Sort Value:
- 2020-0041-0004-0000
- Page Start:
- 414
- Page End:
- 428
- Publication Date:
- 2020-07
- Subjects:
- HVAC system -- global optimization -- decentralized evolutionary algorithm -- model-free -- energy conversation
Buildings -- Environmental engineering -- Periodicals
Buildings -- Environmental engineering -- Research -- Periodicals
Sanitary engineering -- Periodicals
696.05 - Journal URLs:
- http://bse.sagepub.com ↗
http://online.sagepub.com/01436244 ↗
http://www.uk.sagepub.com/home.nav ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1177/0143624419862707 ↗
- Languages:
- English
- ISSNs:
- 0143-6244
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13444.xml