2026-06-21T21:52:50Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/89882024-05-14T10:00:57Zcom_10259_8983com_10259_5086com_10259_2604col_10259_8984
Repositorio Institucional de la Universidad de Burgos
author
Pablos, Cristian
author
Merino Gómez, Alejandro
author
Acebes, Luis Felipe
author
Pitarch, José Luis
author
Biegler, Lorenz T.
2024-04-18T10:44:59Z
2024-04-18T10:44:59Z
2021-06
0098-1354
http://hdl.handle.net/10259/8988
10.1016/j.compchemeng.2021.107292
Industrial processes working with cogeneration utilities can coordinate their operation to take advantage of Demand Response programs to reduce their cost, while making the grid more stable and secure. Simplified steady-state and transition models are usually employed in a mathematical scheduling fashion to deal with this problem in process plants with small inertia. Here, however, we propose the use of a dynamic-integrated optimization approach that considers the dominant process dynamics jointly with the heat and power coupling in the cogeneration unit. The methodology meets the related European legislation and it has been tested in a simulated sugar factory that has a cogeneration system with connection to the external grid. The operation under two tariffs (TOU and Spanish Day-Ahead prices) was compared to the traditional policy of maximum production and fixed electricity prices, showing that a reduction of up to 5.41% of the costs is possible for the considered case study.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Demand-side management
Cogeneration
Sugar industry
Dynamic optimization
Day-ahead market
Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations
info:eu-repo/semantics/article
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URL
https://riubu.ubu.es/bitstream/10259/8988/1/Pablos-cce_2021.pdf
File
MD5
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application/pdf
Pablos-cce_2021.pdf