Optimal quantity, location and capacity allocation of the additional renewable energy stations in a large-scale district heating system and comprehensive case analyses. (15th May 2023)
- Record Type:
- Journal Article
- Title:
- Optimal quantity, location and capacity allocation of the additional renewable energy stations in a large-scale district heating system and comprehensive case analyses. (15th May 2023)
- Main Title:
- Optimal quantity, location and capacity allocation of the additional renewable energy stations in a large-scale district heating system and comprehensive case analyses
- Authors:
- Wang, Jinda
Jin, Yufei
Zheng, Jinfu
Xue, Puning
Sun, Chunhua - Abstract:
- Highlights: Introducing distributed RESs in an existing DHS has a great energy-saving potential. Two independent optimization modules are integrated to approach the optimal results. Virtual split method is proposed to simplify the operating optimization of DHS. Genetic algorithm is used to ensure the reliability and accuracy of the optimization. Abstract: Integrating the combined heat and power (CHP) plants with distributed renewable energy stations (RESs) is an important way to promote the low-carbon development of district heating system (DHS) and to further achieve "carbon neutrality" goal in the future. However, when the total capacity of power-to-heat devices is determined by district energy planning, different configurations (quantity, location, and installed capacity allocation) of additional RESs show various energy-saving potential in the long-term operation of DHS. In this study, an integrated optimization model consisting two independent optimization modules is proposed, aiming at maximizing the comprehensive economic benefits of distributed RESs. A novel virtual split method is also introduced to simplify the operating optimization of DHS. In addition, to ensure the reliability and accuracy of optimization calculation, a heuristic optimization tool (genetic algorithm) is applied to solve these non-linear optimization problems. Case studies from a real trans -regional DHS indicate that a reasonable configuration of additional RESs optimizes and equalizes theHighlights: Introducing distributed RESs in an existing DHS has a great energy-saving potential. Two independent optimization modules are integrated to approach the optimal results. Virtual split method is proposed to simplify the operating optimization of DHS. Genetic algorithm is used to ensure the reliability and accuracy of the optimization. Abstract: Integrating the combined heat and power (CHP) plants with distributed renewable energy stations (RESs) is an important way to promote the low-carbon development of district heating system (DHS) and to further achieve "carbon neutrality" goal in the future. However, when the total capacity of power-to-heat devices is determined by district energy planning, different configurations (quantity, location, and installed capacity allocation) of additional RESs show various energy-saving potential in the long-term operation of DHS. In this study, an integrated optimization model consisting two independent optimization modules is proposed, aiming at maximizing the comprehensive economic benefits of distributed RESs. A novel virtual split method is also introduced to simplify the operating optimization of DHS. In addition, to ensure the reliability and accuracy of optimization calculation, a heuristic optimization tool (genetic algorithm) is applied to solve these non-linear optimization problems. Case studies from a real trans -regional DHS indicate that a reasonable configuration of additional RESs optimizes and equalizes the distribution of pressure and flow in the primary DHN, and the heat dissipation of flow energy in regulating valves and transmission pipelines can be reduced considerably. The proposed integrated optimization model and its solving processes can be migrated to other similar projects worldwide. … (more)
- Is Part Of:
- Energy conversion and management. Volume 284(2023)
- Journal:
- Energy conversion and management
- Issue:
- Volume 284(2023)
- Issue Display:
- Volume 284, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 284
- Issue:
- 2023
- Issue Sort Value:
- 2023-0284-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-05-15
- Subjects:
- Configuration optimization -- Renewable energy station -- Comprehensive economic benefit -- Virtual split method
PV photovoltaic -- EHP electric heat pump -- EB electric boiler -- DH district heating -- DHN district heating network -- DHS district heating system -- RES renewable energy station -- CHP combined heat and power -- PHE plate heat exchanger -- CEB comprehensive economic benefits -- P2H power-to-heat -- CSWD Chinese Standard Weather Data
Direct energy conversion -- Periodicals
Energy storage -- Periodicals
Energy transfer -- Periodicals
Énergie -- Conversion directe -- Périodiques
Direct energy conversion
Periodicals
621.3105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01968904 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enconman.2023.116975 ↗
- Languages:
- English
- ISSNs:
- 0196-8904
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.547000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26911.xml