Impact of the level of temporal and operational detail in energy-system planning models
| Autor: | Erik Delarue, William D'haeseleer, Daan Six, Jan Duerinck, Kris Poncelet |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Stylized fact
Mathematical optimization energy system planning Computer science 020209 energy Mechanical Engineering 02 engineering and technology Building and Construction Management Monitoring Policy and Law TIMES Power (physics) operational constraints Electric power system power systems General Energy Dimension (vector space) Temporal resolution Integration of renewable energy sources 0202 electrical engineering electronic engineering information engineering Limit (mathematics) Set (psychology) Representation (mathematics) temporal resolution Simulation |
| Popis: | To limit the computational cost, bottom-up long-term (LT) energy-system planning models typically have a stylized temporal representation and do not consider techno-economic operational constraints of power plants. Both these simplifications have been shown to have a significant impact on the results. However, increasing the level of temporal and techno-economic operational detail will result in an increased computational cost. In this regard, the first goal of this work is to quantify which of these simplifications has the highest impact on the results, and should therefore be prioritized for improving. To do so, the impact of both the low level of temporal and techno-economic operational detail are quantified for a varying penetration of intermittent renewable energy sources (IRES). For a high penetration of IRES, the gains obtained by improving the temporal representation are shown to outweigh the gains obtained by incorporating detailed techno-economic operational constraints. Therefore, improving the temporal representation is suggested to be prioritized. The second goal of this paper is to identify opportunities for model improvements. Different approaches to improve the temporal dimension are proposed. While the focus in the literature lies primarily on the impact of the temporal resolution, this work more fundamentally considers and assesses different approaches of dealing with the temporal dimension. Using a different approach of defining the time segments to explicitly account for IRES variability is found to lead to a higher accuracy than can be obtained by simply increasing the temporal resolution, while requiring a lower number of time segments. Moreover, a temporal representation based on selecting a set of representative days can achieve an even higher accuracy, albeit requiring a higher number of time slices. An additional advantage of using representative days is that chronology is retained such that the impact of short-term dynamic fluctuations of IRES can be accounted for. publisher: Elsevier articletitle: Impact of the level of temporal and operational detail in energy-system planning models journaltitle: Applied Energy articlelink: http://dx.doi.org/10.1016/j.apenergy.2015.10.100 content_type: article copyright: Copyright © 2015 Elsevier Ltd. All rights reserved. ispartof: Applied Energy vol:162 pages:631-643 status: published |
| Databáze: | OpenAIRE |
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