An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network. (1st June 2023)
- Record Type:
- Journal Article
- Title:
- An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network. (1st June 2023)
- Main Title:
- An adaptive double-Newton-iteration hydraulic calculation method for optimal operation of the meshed district heating network
- Authors:
- Liu, Zhikai
Zhang, Huan
Wang, Yaran
Jiang, Yan
He, Zhihao
Zhou, Pengkun - Abstract:
- Abstract: The district heating (DH) system is one of the most efficient solutions for providing space heating with reduced energy and carbon emissions. The goal of this paper is to research the different operation control strategy of the pump, which requires addressing two issues before testing operation control strategy. One is the simulation problem, and the other is the identification problem to obtain an accurate hydraulic simulation model. In this paper, a novel adaptive double-Newton-iteration hydraulic calculation method is proposed for the meshed DH network. An identification algorithm is also proposed to obtain precise hydraulic resistances of pipelines and the coefficients of the pump curves using the measured operating data of the DH network. An optimal pressure control (OPC) strategy is then proposed to minimize the pump head based on the identified hydraulic resistances. During simulation, the hydraulic performances of DH network under the OPC strategy, the conventional constant speed control (CSC) strategy and the constant pressure difference control (CPDC) strategy were compared. Results show that implementation of the OPC strategy can save about 9.0%–52.9% pumping energy compared with the CSC and CPDC strategies during the heating period. Highlights: Self-adaptive hydraulic model for simulating the meshed DH network. Novel identification method to obtain the hydraulic resistances and constant parameters of the pump. Effectiveness analysis of identificationAbstract: The district heating (DH) system is one of the most efficient solutions for providing space heating with reduced energy and carbon emissions. The goal of this paper is to research the different operation control strategy of the pump, which requires addressing two issues before testing operation control strategy. One is the simulation problem, and the other is the identification problem to obtain an accurate hydraulic simulation model. In this paper, a novel adaptive double-Newton-iteration hydraulic calculation method is proposed for the meshed DH network. An identification algorithm is also proposed to obtain precise hydraulic resistances of pipelines and the coefficients of the pump curves using the measured operating data of the DH network. An optimal pressure control (OPC) strategy is then proposed to minimize the pump head based on the identified hydraulic resistances. During simulation, the hydraulic performances of DH network under the OPC strategy, the conventional constant speed control (CSC) strategy and the constant pressure difference control (CPDC) strategy were compared. Results show that implementation of the OPC strategy can save about 9.0%–52.9% pumping energy compared with the CSC and CPDC strategies during the heating period. Highlights: Self-adaptive hydraulic model for simulating the meshed DH network. Novel identification method to obtain the hydraulic resistances and constant parameters of the pump. Effectiveness analysis of identification results under different operating conditions. Energy saving analysis under different control strategy. … (more)
- Is Part Of:
- Energy. Volume 272(2023)
- Journal:
- Energy
- Issue:
- Volume 272(2023)
- Issue Display:
- Volume 272, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 272
- Issue:
- 2023
- Issue Sort Value:
- 2023-0272-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-06-01
- Subjects:
- District heating -- Hydraulic network simulation -- Hydraulic identification method -- Pump optimization strategy
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2023.127132 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26904.xml