Optimisation of a smart energy hub with integration of combined heat and power, demand side response and energy storage
- 1. Global Energy Internet Research Institute, Beijing (China)
- 2. Wind Energy & Control Centre, Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow (United Kingdom)
- 3. Department of Automotive Engineering, Clemson University, Greenville (United States)
Description
Highlights: • A cost optimisation model is proposed for S.E. Hub including CHP, HVAC and ESS. • The heat/power ratio of CHP is dynamically controlled along with DSR. • The EMS can shift the load demand and manage energy supply simultaneously. • The proposed optimisation strategy shows clear energy saving over surveyed data. An operational cost minimisation model is established for a smart energy hub (S.E. Hub) consisting of a combined heat and power (CHP) unit, a heating, ventilation and air-conditioning (HVAC) system, and thermal and electricity storage units. The optimal operation of CHP is combined with the load management of HVAC under a time-of-use (TOU) tariff. The heat and power split ratio of CHP is dynamically determined during the operation. The scheduling of HVAC load and the charging/discharging of energy storage systems are also determined through the optimisation model. The energy management system can therefore shift the load demand and manage energy supply simultaneously. System operation requirements and environment factors including the outdoor air-temperature variation, seasonal variation, and battery degradation are considered. Comprehensive case studies are carried out to examine the effectiveness of the proposed strategy, from which insights are obtained for different energy management strategies and possible upgrade of S.E. Hub. Simulation results reveal that dynamic control of the CHP heat and power split ratio is an effective way to save the total operational cost, and a clear cost saving is shown through the proposed optimal operation strategy.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2021.121268Additional details
Identifiers
- DOI
- 10.1016/j.energy.2021.121268;
- PII
- S0360544221015164;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 234
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54003462
- Subject category
- S25: ENERGY STORAGE; S42: ENGINEERING;
- Descriptors DEI
- AIR CONDITIONING; COMPUTERIZED SIMULATION; ELECTRICITY; ENERGY MANAGEMENT; ENERGY MANAGEMENT SYSTEMS; ENERGY STORAGE; ENERGY STORAGE SYSTEMS; HEAT; HEATING; HVAC SYSTEMS; LOAD MANAGEMENT; OPERATING COST; OPTIMIZATION; SEASONAL VARIATIONS; TARIFFS
- Descriptors DEC
- AC SYSTEMS; CONTROL SYSTEMS; COST; ENERGY; ENERGY SYSTEMS; MANAGEMENT; POWER SYSTEMS; SIMULATION; STORAGE; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.