Identification of control regularity of heating stations based on cross-correlation function dynamic time delay method

Chunhua Sun, Yiting Liu, Shanshan Cao, Jiali Chen, Guoqiang Xia and Xiangdong Wu

Energy, 2022, vol. 246, issue C

Abstract: Efficient operation and fine control are the keys of heating stations (HSs) to reduce energy consumption and carbon emission. Identifying control regularity of HSs is significant to realize fine control. This paper firstly defines control regularity, regulation time step (RTS) and regulation time node (RTN) of HSs. Then identify HSs’ type based on insulation performance of buildings. Secondary loop supply and return temperature are chosen as characteristic parameters to determine pipe network thermal delay, while indoor temperature and the comprehensive outdoor temperature are used to determine building thermal inertia delay. Cross-correlation function dynamic time delay method is used to identify the delay time, and RTS of HS is determined. The regression model of RTS is obtained to decide daily RTNs. It is found that RTS of buildings with floor heating are larger than that with radiators, energy-saving buildings are larger than non-energy-saving buildings, and the high cold period is greater than the early and last cold period. The proposed method is applied to three HSs. Results show that average indoor temperature is maintained within the target range of 20 ± 1 °C, varies within a narrow range. Indoor temperature unevenness coefficient reduction indicates that indoor thermal comfort has been improved.

Keywords: Heating station; Cross-correlation function method; Control regularity; Regulation time step; Regulation time node; Thermal comfort (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222002328
Full text for ScienceDirect subscribers only

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:eee:energy:v:246:y:2022:i:c:s0360544222002328

DOI: 10.1016/j.energy.2022.123329

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().