Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

The operation of on-site power plants in the chemical industry is typically determined by the steam demand of the production plants. This demand is uncertain due to deviations from the production plan and fluctuations in the operation of the plants. The steam demand uncertainty can result in an inef...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Keivan Rahimi-Adli, Egidio Leo, Benedikt Beisheim, Sebastian Engell
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	combined heat and power plants industrial power plant steam demand uncertainty scheduling stochastic optimisation optimisation on a moving horizon Technology T
Acceso en línea:	https://doaj.org/article/4bdf095bd64743889e311311b43378a2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4bdf095bd64743889e311311b43378a2
record_format	dspace
spelling	oai:doaj.org-article:4bdf095bd64743889e311311b43378a22021-11-11T15:58:56ZOptimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty10.3390/en142172131996-1073https://doaj.org/article/4bdf095bd64743889e311311b43378a22021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7213https://doaj.org/toc/1996-1073The operation of on-site power plants in the chemical industry is typically determined by the steam demand of the production plants. This demand is uncertain due to deviations from the production plan and fluctuations in the operation of the plants. The steam demand uncertainty can result in an inefficient operation of the power plant due to a surplus or deficiency of steam that is needed to balance the steam network. In this contribution, it is proposed to use two-stage stochastic programming on a moving horizon to cope with the uncertainty. In each iteration of the moving horizon scheme, the model parameters are updated according to the new information acquired from the plants and the optimisation is re-executed. Hedging against steam demand uncertainty results in a reduction of the fuel consumption and a more economic generation of electric power, which can result in significant savings in the operating cost of the power plant. Moreover, unplanned load reductions due to lack of steam can be avoided. The application of the new approach is demonstrated for the on-site power plant of INEOS in Köln, and significant savings are reported in exemplary simulations.Keivan Rahimi-AdliEgidio LeoBenedikt BeisheimSebastian EngellMDPI AGarticlecombined heat and power plantsindustrial power plantsteam demand uncertaintyschedulingstochastic optimisationoptimisation on a moving horizonTechnologyTENEnergies, Vol 14, Iss 7213, p 7213 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	combined heat and power plants industrial power plant steam demand uncertainty scheduling stochastic optimisation optimisation on a moving horizon Technology T
spellingShingle	combined heat and power plants industrial power plant steam demand uncertainty scheduling stochastic optimisation optimisation on a moving horizon Technology T Keivan Rahimi-Adli Egidio Leo Benedikt Beisheim Sebastian Engell Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
description	The operation of on-site power plants in the chemical industry is typically determined by the steam demand of the production plants. This demand is uncertain due to deviations from the production plan and fluctuations in the operation of the plants. The steam demand uncertainty can result in an inefficient operation of the power plant due to a surplus or deficiency of steam that is needed to balance the steam network. In this contribution, it is proposed to use two-stage stochastic programming on a moving horizon to cope with the uncertainty. In each iteration of the moving horizon scheme, the model parameters are updated according to the new information acquired from the plants and the optimisation is re-executed. Hedging against steam demand uncertainty results in a reduction of the fuel consumption and a more economic generation of electric power, which can result in significant savings in the operating cost of the power plant. Moreover, unplanned load reductions due to lack of steam can be avoided. The application of the new approach is demonstrated for the on-site power plant of INEOS in Köln, and significant savings are reported in exemplary simulations.
format	article
author	Keivan Rahimi-Adli Egidio Leo Benedikt Beisheim Sebastian Engell
author_facet	Keivan Rahimi-Adli Egidio Leo Benedikt Beisheim Sebastian Engell
author_sort	Keivan Rahimi-Adli
title	Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
title_short	Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
title_full	Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
title_fullStr	Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
title_full_unstemmed	Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty
title_sort	optimisation of the operation of an industrial power plant under steam demand uncertainty
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4bdf095bd64743889e311311b43378a2
work_keys_str_mv	AT keivanrahimiadli optimisationoftheoperationofanindustrialpowerplantundersteamdemanduncertainty AT egidioleo optimisationoftheoperationofanindustrialpowerplantundersteamdemanduncertainty AT benediktbeisheim optimisationoftheoperationofanindustrialpowerplantundersteamdemanduncertainty AT sebastianengell optimisationoftheoperationofanindustrialpowerplantundersteamdemanduncertainty
_version_	1718432410941521920

Optimisation of the Operation of an Industrial Power Plant under Steam Demand Uncertainty

Ejemplares similares