A study on operation control of urban centralized heating system based on cyber-physical systems. (15th January 2020)
- Record Type:
- Journal Article
- Title:
- A study on operation control of urban centralized heating system based on cyber-physical systems. (15th January 2020)
- Main Title:
- A study on operation control of urban centralized heating system based on cyber-physical systems
- Authors:
- Lin, Xiaojie
Liu, Sibin
Lu, Shuowei
Li, Zhongbo
Zhou, Yi
Yu, Zitao
Zhong, Wei - Abstract:
- Abstract: Intelligent and efficient operation of large-scale urban centralized heating system (UCHS) is a hot topic in urban energy system field. This study develops an intelligent operation control platform for China's UCHS via "cyber-physical systems" (CPS). The platform is based on graph theory and thermal-hydraulic modeling and has been validated against measured data collected from the substations. 88.5% of the modeled substation supply pressure has an error of less than 5%, and 82.1% of the modeled substation return pressure has an error of less than 5%. The platform carries out "model-based prediction" and "prediction-based decision-making" by incorporating state sensing, load forecasting, modeling, and model-based operation optimization. The platform is further applied to a target UCHS using coal-based combined heat and power (CHP) units and gas-fired boilers as heating sources and covering an area of 15 million m 2 . To ensure the accuracy, this study carries out online calibration with real-time operation data and tests the load distribution feature during the pilot heating season. During a two-day operation, the optimized heating sources load distribution scheme could reduce natural gas consumption by up to 31.2% when compared with existing experience-based operation. The operation cost during that operation period is also reduced by 2.6%, accordingly. Highlights: "Cyber-physical systems" idea is applied to urban centralized heating system. A CPS-based controlAbstract: Intelligent and efficient operation of large-scale urban centralized heating system (UCHS) is a hot topic in urban energy system field. This study develops an intelligent operation control platform for China's UCHS via "cyber-physical systems" (CPS). The platform is based on graph theory and thermal-hydraulic modeling and has been validated against measured data collected from the substations. 88.5% of the modeled substation supply pressure has an error of less than 5%, and 82.1% of the modeled substation return pressure has an error of less than 5%. The platform carries out "model-based prediction" and "prediction-based decision-making" by incorporating state sensing, load forecasting, modeling, and model-based operation optimization. The platform is further applied to a target UCHS using coal-based combined heat and power (CHP) units and gas-fired boilers as heating sources and covering an area of 15 million m 2 . To ensure the accuracy, this study carries out online calibration with real-time operation data and tests the load distribution feature during the pilot heating season. During a two-day operation, the optimized heating sources load distribution scheme could reduce natural gas consumption by up to 31.2% when compared with existing experience-based operation. The operation cost during that operation period is also reduced by 2.6%, accordingly. Highlights: "Cyber-physical systems" idea is applied to urban centralized heating system. A CPS-based control platform is developed and further tested in a real site. The platform reduces overall energy consumption during pilot season testing. … (more)
- Is Part Of:
- Energy. Volume 191(2020)
- Journal:
- Energy
- Issue:
- Volume 191(2020)
- Issue Display:
- Volume 191, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 191
- Issue:
- 2020
- Issue Sort Value:
- 2020-0191-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01-15
- Subjects:
- Cyber-physical systems -- Urban centralized heating system -- Operation control
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2019.116569 ↗
- 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:
- 17941.xml