RT info:eu-repo/semantics/article
T1 Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations
A1 Pablos, Cristian
A1 Merino Gómez, Alejandro
A1 Acebes, Luis Felipe
A1 Pitarch, José Luis
A1 Biegler, Lorenz T.
K1 Demand-side management
K1 Cogeneration
K1 Sugar industry
K1 Dynamic optimization
K1 Day-ahead market
K1 Electrotecnia
K1 Electrical engineering
K1 Alimentos
K1 Food
AB 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.
PB Elsevier
SN 0098-1354
YR 2021
FD 2021-06
LK http://hdl.handle.net/10259/8988
UL http://hdl.handle.net/10259/8988
LA eng
NO This work was supported by the regional government of Castilla y León plus the EU-FEDER (CLU 2017-09 and UIC 233); and the Spanish Ministry of Science, Innovation and Universities (MICINN) with the research project PGC2018-099312-B-C31,and the FPI grant BES-2016-079388.
DS Repositorio Institucional de la Universidad de Burgos
RD 04-dic-2024