Abstract
Modelling and optimising modern energy systems is inherently complex and often requires methods to simplify the discretization of the temporal domain. However, most of them are either (i) not well suited for systems with a high penetration of non-dispatchable renewables or (ii) too complex to be broadly adopted. In this work, we present a novel method that fits well with high penetration of renewables and different spatial scales. Furthermore, it is framework-independent and simple to implement. We show that, compared to the full time discretization, the proposed method saves >90% computation time with <1% error in the objective function. Moreover, it outperforms commonly used methods of modelling through typical days. Its practical usefulness is demonstrated by applying it to a case study about the optimal hydrogen production from renewable energy. The increased modelling fidelity results in a significantly cheaper design and reveals operational details otherwise hidden by typical days.
Original language | English |
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Article number | 107816 |
Pages (from-to) | 1-17 |
Number of pages | 17 |
Journal | Computers & Chemical Engineering |
Volume | 163 |
DOIs | |
Publication status | Published - Jul 2022 |
Bibliographical note
Funding Information:ACT ELEGANCY, Project No 271498, has received funding from DETEC (CH), FZJ/PtJ (DE), RVO (NL), Gassnova (NO), BEIS (UK), Gassco AS and Statoil Petroleum AS, and is cofunded by the European Commission under the Horizon 2020 programme, ACT Grant Agreement No 691712 .
Publisher Copyright:
© 2022 The Authors
Keywords
- MILP
- Time discretization
- Energy system model
- Renewable energy
- Optimization