OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale

被引:9
|
作者
Hodencq, Sacha [1 ]
Brugeron, Mathieu [1 ]
Fito, Jaume [2 ]
Morriet, Lou [1 ]
Delinchant, Benoit [1 ]
Wurtz, Frederic [1 ]
机构
[1] Univ Grenoble Alpes, G2Elab, Grenoble INP, CNRS, F-38000 Grenoble, France
[2] Univ Savoie Mt Blanc, Lab Optimisat Concept & Ingn Environm LOCIE, CNRS, UMR 5271,Polytech Annecy Chambery, Campus Sci, F-73376 Le Bourget Du Lac, France
关键词
energy modelling; MILP optimisation; district scale; open-source; stakeholders; use cases; ETSAP-TIAM; SYSTEM; FRAMEWORK; SOFTWARE; REPRODUCIBILITY; TRANSPARENCY; SIMULATION; CHALLENGES; BUILDINGS;
D O I
10.3390/en14185928
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy modelling is key in order to face the challenges of energy transition. There is a wide variety of modelling tools, depending on their purpose or study phase. This article summarises their main characteristics and highlights ones that are relevant when it comes to the preliminary design of energy studies at district scale. It introduces OMEGAlpes, a multi-carrier energy modelling tool to support stakeholders in the preliminary design of district-scale energy systems. OMEGAlpes is a Mixed-Integer Linear Programming (MILP) model generation tool for optimisation. It aims at making energy models accessible and understandable through its open-source development and the integration of energy stakeholders and their areas of responsibility into the models. A library of use cases developed with OMEGAlpes is presented and enables the presentation of past, current, and future development with the tool, opening the way for future developments and collaborations.
引用
收藏
页数:30
相关论文
共 33 条
  • [21] eELib: Open-Source Model Library for Prosumer Power Systems and Energy Management Strategies
    Wegkamp, Carsten
    Wagner, Henrik
    Niehs, Eike
    Essers, Julien
    Luedecke, Marcel
    Hadlak, Mattias
    Engel, Bernd
    2024 OPEN SOURCE MODELLING AND SIMULATION OF ENERGY SYSTEMS, OSMSES 2024, 2024,
  • [22] Towards a more comprehensive open-source model for interdisciplinary smart integrated energy systems
    Wiegel, Bela
    Steffen, Tom
    Babazadeh, Davood
    Becker, Christian
    2023 11TH WORKSHOP ON MODELLING AND SIMULATION OF CYBER-PHYSICAL ENERGY SYSTEMS, MSCPES, 2023,
  • [23] Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems
    Fleschutz, Markus
    Bohlayer, Markus
    Braun, Marco
    Murphy, Michael D.
    SUSTAINABILITY, 2022, 14 (13)
  • [24] EMPIRE: An open-source model based on multi-horizon programming for energy transition analyses
    Backe, Stian
    Skar, Christian
    del Granado, Pedro Crespo
    Turgut, Ozgu
    Tomasgard, Asgeir
    SOFTWAREX, 2022, 17
  • [25] How to support the adoption of open-source energy system modelling software? Insights from interviews with users and developers
    Gorman, Nicholas
    MacGill, Iain
    Bruce, Anna
    ENERGY RESEARCH & SOCIAL SCIENCE, 2024, 111
  • [26] BESTEST and EN ISO 52016 Benchmarking of ALMABuild, a New Open-Source Simulink Tool for Dynamic Energy Modelling of Buildings
    Campana, Jean Pierre
    Morini, Gian Luca
    ENERGIES, 2019, 12 (15)
  • [27] Hybrid ray-tracing model for solar energy assessment and its open-source implementation as a service
    Rehman, Naveed ur
    Uzair, Muhammad
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2025,
  • [28] An Open-Source Energy Arbitrage Model Involving Price Bands for Risk Hedging with Imperfect Price Signals
    Weber, Timothy
    Lu, Bin
    ENERGIES, 2024, 17 (01)
  • [29] Open-Source Energy, Entropy, and Exergy 0D Heat Release Model for Internal Combustion Engines
    Depcik, Christopher
    Mattson, Jonathan
    Alam, Shah Saud
    ENERGIES, 2023, 16 (06)
  • [30] An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
    Serapio, Adrian
    Chaudhari, Gunvant
    Savage, Cody
    Lee, Yoo Jin
    Vella, Maya
    Sridhar, Shravan
    Schroeder, Jamie Lee
    Liu, Jonathan
    Yala, Adam
    Sohn, Jae Ho
    BMC MEDICAL IMAGING, 2024, 24 (01):