2026-04-26T23:38:13Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/417742021-12-03T08:10:55Zcom_10324_1168com_10324_931com_10324_894col_10324_1304
Marcos Núñez, María Paloma
Pitarch Pérez, José Luis
Jasch, Christian
Prada Moraga, César de
2020-08-10T15:16:52Z
2020-08-10T15:16:52Z
2019
Proceedings of the ESCAPE 29, Eindhoven, The Netherlands, Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan (Eds.). Computer Aided Chemical Engineering, Volume 46, 2019, Pages 979-984
9780128186343
http://uvadoc.uva.es/handle/10324/41774
10.1016/B978-0-12-818634-3.50164-8
Producción Científica
This work aims to optimise the operation of an evaporation network with shared resources
in real time. The goal is minimising the resource utilisation (live steam and cooling water)
while satisfying a set of operational constrains. Hence, problems of optimal load allocation
of feeds to plants and cooling-water distribution among them arise. The work bases
on plants surrogate models, experimentally obtained, and analyses different formulation
alternatives of the optimisation from the practical point of view: centralised vs distributed
approaches. In particular for the distributed approach, we propose a problem decomposition
which allows us to solve the problem in two iterative ways: 1) as two independent
optimisations or 2) via price-coordination schemes.
This research is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 723575. The first author also acknowledges the European Social Fund and the “Consejería de Educación de la Junta de Castilla y León
6 p.
application/pdf
spa
Elsevier
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
Elsevier
Atribución-CompartirIgual 4.0 Internacional
Optimización matemática
Industria - Aspecto del medio ambiente
Eficiencia en la industria - Innovaciones tecnológicas
Decomposition methods
RTO
Evaporation network
Resource efficiency
Optimal distributed load allocation and resource utilisation in evaporation plants
29th European Symposium on Computer Aided Process Engineering, ESCAPE 29
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
https://www.sciencedirect.com/science/article/pii/B9780128186343501648
info:eu-repo/grantAgreement/EC/H2020/723575