Paper
29 March 2023 Optimize the operation of IES considering the electric thermal demand response of tiered carbon trading
Dexin Li, Xiu Ji, Chang Liu, Jun Leng, Meng Li
Author Affiliations +
Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 125940J (2023) https://doi.org/10.1117/12.2671515
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China
Abstract
As an important way to achieve the "carbon peaking and carbon neutrality goals," the integrated energy system is worth further exploring its ability to respond on the demand side. In this paper, an electric-thermal integrated energy demand response based on a tiered carbon trading mechanism is proposed, and a low-temperature waste heat power generation device based on ORC is introduced to further solve the problem of insufficient demand-side response. Finally, the proposed model is verified with the lowest energy purchase cost, tiered carbon transaction cost and operation and maintenance cost. Through the example analysis, it can be seen that the integrated energy system considering the response of electric heat demand to formulate a reasonable carbon trading mechanism can achieve the synergy of economic and low-carbon system.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dexin Li, Xiu Ji, Chang Liu, Jun Leng, and Meng Li "Optimize the operation of IES considering the electric thermal demand response of tiered carbon trading", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 125940J (29 March 2023); https://doi.org/10.1117/12.2671515
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Carbon

System integration

Wind energy

Atmospheric modeling

Mathematical optimization

Power consumption

Elasticity

Back to Top