Article (Scientific journals)
Uncertainty modelling of an industry facility as a multi-energy demand response provider
Kostelac, Matija; PAVIĆ, Ivan; Zhang, Ning et al.
2022In Applied Energy, 307, p. 118215
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Keywords :
Demand response; Energy flow modelling; Flexibility; Industry facility; Multi-energy system; Robust optimisation
Abstract :
[en] While the latest European energy regulations emphasise the active power system participation of the household level end-users, the large industrial facilities are still not fully exploiting all the market opportunities to decrease their costs and become more competitive. Significant cost reduction can be achieved by offering flexibility services in the electricity market. This is especially valid in the case when the industrial consumers are multi-energy hubs where shifting and optimising usage of input energy vectors creates additional opportunities. Research gaps were identified and a price responsive demand response model for a multi-energy industry facility under uncertainty was developed. The uncertainty aspects are modelled both by the robust optimisation and by the two-stage stochastic optimisation. Additionally, we develop a linear energy flow-based model of an industrial steam system which better encompasses losses and makes the model more realistic. The model is validated on a real-world case of a multi-energy industry facility and the results indicate that cost savings of up to 18 % can be achieved compared to the passive and deterministic, mass flow-based business-as-usual behaviour.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Computer science
Management information systems
Computer science
Author, co-author :
Kostelac, Matija;  Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
PAVIĆ, Ivan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
Zhang, Ning ;  Department of Electrical Engineering, Tsinghua University, Beijing, China
Capuder, Tomislav ;  Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
External co-authors :
yes
Language :
English
Title :
Uncertainty modelling of an industry facility as a multi-energy demand response provider
Original title :
[en] Uncertainty modelling of an industry facility as a multi-energy demand response provider
Publication date :
February 2022
Journal title :
Applied Energy
ISSN :
0306-2619
eISSN :
1872-9118
Publisher :
Elsevier Ltd
Volume :
307
Pages :
118215
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Development Goals :
9. Industry, innovation and infrastructure
Funders :
HRZZ - Croatian Science Foundation
Funding number :
PAR-2018-12
Funding text :
The work is supported by Croatian Science Foundation (HRZZ) and Croatian Distribution System Operator (HEP ODS) under the project IMAGINE – Innovative Modelling and Laboratory Tested Solutions for Next Generation of Distribution Networks ( PAR-2018-12 ).
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