A review of mixed-integer linear formulations for framework-based energy system models

A review of mixed-integer linear formulations for framework-based energy system models

Optimization-based frameworks for energy system modeling such as TIMES, ETHOS.FINE, or PyPSA have emerged as important tools to outline a cost-efficient energy transition. Consequently, numerous reviews have compared the capabilities and application cases of established energy system optimization fr...

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Bibliographic Details
Main Authors: Maximilian Hoffmann, Bruno U. Schyska, Julian Bartels, Tristan Pelser, Johannes Behrens, Manuel Wetzel, Hans Christian Gils, Chuen-Fung Tang, Marius Tillmanns, Jan Stock, André Xhonneux, Leander Kotzur, Aaron Praktiknjo, Thomas Vogt, Patrick Jochem, Jochen Linßen, Jann M. Weinand, Detlef Stolten
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Advances in Applied Energy
Subjects:
Meta-review
Energy system optimization
Modeling frameworks
Multi-objective optimization
Aggregation methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2666792424000283
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