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Operation optimization of electricity-steam coupled industrial energy system considering steam accumulator.
- Source :
-
Energy . Feb2024, Vol. 289, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Steam system plays a crucial role in industrial energy usage. Steam generation in the industry domain is transferring from coal-fired or gas-fired plant/boiler to green-electricity steamer for net-zero purpose. The increasing coupling of the electricity-steam energy system in the industry domain, called electricity-steam coupled industrial energy system (ES-IES), brings enormous challenges to the system day-ahead operation optimization due to the uncertainties of renewable generation and the nonlinearities of the system mathematical model. Therefore, this paper introduces the steam accumulator (SA) into the steam system to mitigate the renewable fluctuations, proposes an isothermal linearization method of the steam flow model, and optimizes the operation based on an interactive iteration scheme between optimization and simulation for the global optimum and a balance between accuracy and speed. Results show that considering the storage characteristics of SA and the complementary coordination of electricity and steam through coupling equipment can significantly optimize the operation of ES-IES with an increase in the renewable energy consumption rate by 23.81 % and a decrease in the total operating cost by 11.39 %. The static payback period for the investment of EB and SA is 7 years, indicating a favorable application prospect. • Linearization methods of steam flow model are used for global optimum. • Equivalent energy storage model of steam accumulator is proposed for optimization. • An interactive iteration scheme between optimization and simulation is presented. • Economic and efficiency performance of the electricity-steam coupled system is evaluated. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 289
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 174950971
- Full Text :
- https://doi.org/10.1016/j.energy.2023.129903