Journal Article FZJ-2022-02166

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The Pareto-optimal temporal aggregation of energy system models

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2022
Elsevier Science Amsterdam [u.a.]

Applied energy 315, 119029 - () [10.1016/j.apenergy.2022.119029]

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Abstract: The growing share of intermittent renewable energy sources, storage technologies, and the increasing degree of so-called sector coupling necessitates optimization-based energy system models with high temporal and spatial resolutions, which significantly increases their runtimes and limits their maximum sizes. In order to maintain the computational viability of these models for large-scale application cases, temporal aggregation has emerged as a technique for reducing the number of considered time steps by reducing the original time horizon down to fewer, more representative ones.

Classification:

Contributing Institute(s):
  1. Technoökonomische Systemanalyse (IEK-3)
Research Program(s):
  1. 1111 - Effective System Transformation Pathways (POF4-111) (POF4-111)
  2. 1112 - Societally Feasible Transformation Pathways (POF4-111) (POF4-111)

Appears in the scientific report 2022
Database coverage:
Medline ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Open Access

 Datensatz erzeugt am 2022-05-13, letzte Änderung am 2024-07-11


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