TY - GEN
T1 - Co-design optimization of a combined heat and power hybrid energy system
AU - Li, Dongze
AU - Wu, Jiaxin
AU - Zhang, Jie
AU - Wang, Pingfeng
N1 - Funding Information:
This research is partially supported the U.S. Department of Energy’s Office of Nuclear Energy under Award No. DENE0008899 and the National Science Foundation (NSF) Engineering Research Center for Power Optimization of ElectroThermal Systems (POETS) with cooperative agreement EEC-1449548.
Funding Information:
This research is partially supported the U.S. Department of Energy?s Office of Nuclear Energy under Award No. DENE0008899 and the National Science Foundation (NSF) Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548.
Publisher Copyright:
Copyright © 2021 by ASME.
PY - 2021
Y1 - 2021
N2 - As an energy efficient technology that generates electricity and captures the heat that would otherwise be wasted to provide useful thermal energy, combined heat and power (CHP) hybrid energy systems have been widely used in the U.S. In the presented study, a two-stage co-design optimization model for CHP-based hybrid energy systems is developed. By applying a mixed integer programming (MIP) method, the optimization is performed from the operational and design perspectives. Six components: CHP, boiler, heat recover unit (HRU), thermal storage system (TS), power storage system (ES), and photovoltaic (PV) are considered in the CHP-based microgrids. During the optimization process, the cost-based optimal component design solutions are firstly obtained by minimizing the total installation costs of the components. The optimal operational strategy is further attained based on the component design by minimizing the costs from production, operation and maintenance, startup, and unsatisfied load. In the end, non-disruptive and disruptive scenarios are considered in the case study to testify to the model’s effectiveness in co-design and reliability improvement.
AB - As an energy efficient technology that generates electricity and captures the heat that would otherwise be wasted to provide useful thermal energy, combined heat and power (CHP) hybrid energy systems have been widely used in the U.S. In the presented study, a two-stage co-design optimization model for CHP-based hybrid energy systems is developed. By applying a mixed integer programming (MIP) method, the optimization is performed from the operational and design perspectives. Six components: CHP, boiler, heat recover unit (HRU), thermal storage system (TS), power storage system (ES), and photovoltaic (PV) are considered in the CHP-based microgrids. During the optimization process, the cost-based optimal component design solutions are firstly obtained by minimizing the total installation costs of the components. The optimal operational strategy is further attained based on the component design by minimizing the costs from production, operation and maintenance, startup, and unsatisfied load. In the end, non-disruptive and disruptive scenarios are considered in the case study to testify to the model’s effectiveness in co-design and reliability improvement.
KW - Co-design optimization
KW - Disruptive scenarios
KW - Microgrid
KW - Power and thermal management
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U2 - 10.1115/DETC2021-71304
DO - 10.1115/DETC2021-71304
M3 - Conference contribution
AN - SCOPUS:85120001433
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 47th Design Automation Conference (DAC)
PB - American Society of Mechanical Engineers (ASME)
T2 - 47th Design Automation Conference, DAC 2021, Held as Part of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2021
Y2 - 17 August 2021 through 19 August 2021
ER -