Research on design and multi-frequency scheduling optimization method for flexible green ammonia system
Energy Conversion and Management, ISSN: 0196-8904, Vol: 300, Page: 117976
2024
- 9Citations
- 24Captures
- 1Mentions
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Most Recent News
New Energy Conversion and Management Findings from China University of Petroleum Described (Research On Design and Multi-frequency Scheduling Optimization Method for Flexible Green Ammonia System)
2024 FEB 06 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Research findings on Energy - Energy Conversion and Management
Article Description
As an important chemical product and energy carrier, green ammonia is a way to consume large quantities of green hydrogen produced from renewable electricity. For the optimization of the green ammonia production systems, a primary problem is to solve the electricity-hydrogen-ammonia matching problem under multi-frequency and multi-amplitude load fluctuations. In this work, a method for capacity designing and scheduling optimization of a hybrid multi-frequency flexible green ammonia system is constructed. The method can be applied to design the whole green ammonia system in grid-connected and isolated scenarios. The established model can accurately describe the electricity-hydrogen-ammonia matching characteristics of each module. Furthermore, many important practical engineering constraints are taken into account, such as the operating time of the chemical device, and the flexibility of the ammonia device. This work verifies the effectiveness of the proposed method based on a real case, and the impact of load range, adjustment speed, and adjustment frequency of the ammonia synthesis process on the product cost and module capacity.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0196890423013225; http://dx.doi.org/10.1016/j.enconman.2023.117976; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85180410274&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0196890423013225; https://dx.doi.org/10.1016/j.enconman.2023.117976
Elsevier BV
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