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Green economic analysis for multi-energy system with linearized CO2 electrolysis model
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China.
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-9998-9773
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China.
2023 (English)In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695, Vol. 17, no 16, p. 3607-3625Article in journal (Refereed) Published
Abstract [en]

CO2 electrolysis system (CES), as a type of carbon capture, utilization, and storage, has significant potential for achieving carbon neutrality. By utilizing surplus renewable energy, CES can convert CO2 into valuable electrochemical products. This paper studies the advantages brought by the application of CES to the green economic operation of multi-energy system. Firstly, a linear model based on the CES's operation data is developed to characterize its dynamic behaviour. In addition, a two-stage stochastic programming model for the operation of CES within multi-energy system is studied. Finally, a creative optimal-operation-based end-of-life net present value (OENPV) is proposed to assess the long-term investment of CES. The results of the cases in different seasons and electrochemical products show that the application of CES not only brings significant carbon reduction to the multi-energy system, but also alleviates the curtailment of renewable energy. Additionally, according to the OENPV analysis outcome, the production of formic acid gives the system the shortest return on investment, which is the fourth year of the 20-year assessment cycle.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET) , 2023. Vol. 17, no 16, p. 3607-3625
Keywords [en]
carbon capture, storage and utilization, CO electrolysis system 2, multi-energy system, techno-ecomomic analysis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-338560DOI: 10.1049/gtd2.12909ISI: 001013864100001Scopus ID: 2-s2.0-85162958212OAI: oai:DiVA.org:kth-338560DiVA, id: diva2:1810349
Note

QC 20231107

Available from: 2023-11-07 Created: 2023-11-07 Last updated: 2023-11-07Bibliographically approved

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Hesamzadeh, Mohammad Reza

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