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| 1 | +{ |
| 2 | + "title": "FlixOpt: Progressive Flow System Optimization", |
| 3 | + "description": "FlixOpt (Flexible, Low-entry, Investment, X-sector OPTimization) is a comprehensive framework for modeling and optimizing energy and material flow systems in Python. It enables optimization of diverse applications including district heating networks, industrial production lines, renewable energy portfolios, and supply chain logistics. Built on modern scientific Python stack (linopy and xarray), it provides a progressive enhancement approach allowing users to start with simple models and incrementally add complexity such as multi-period investments, stochastic scenarios, and custom constraints. The framework simplifies the creation of global constraints and switching objectives through its 'effect' concept. The framework is designed for researchers and engineers in energy systems, industrial process optimization, and operations research. \\n\\nCitation Notice: If you use FlixOpt in scientific work, please cite both this software version and the following publication: Panitz, F., Behrends, T., & Stange, P. (2022). Software-supported Investment Optimization for District Heating Supply Systems. In EuroSun 2022 Proceedings. DOI: 10.18086/eurosun.2022.04.07", |
| 4 | + "version": "{{VERSION}}", |
| 5 | + "license": "MIT", |
| 6 | + "access_right": "open", |
| 7 | + "upload_type": "software", |
| 8 | + "creators": [ |
| 9 | + { |
| 10 | + "name": "Bumann, Felix", |
| 11 | + "affiliation": "SachsenEnergie AG", |
| 12 | + "orcid": "https://orcid.org/0009-0006-0765-4789" |
| 13 | + }, |
| 14 | + { |
| 15 | + "name": "Panitz, Felix", |
| 16 | + "affiliation": "Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG", |
| 17 | + "orcid": "https://orcid.org/0009-0007-7030-6987" |
| 18 | + }, |
| 19 | + { |
| 20 | + "name": "Stange, Peter", |
| 21 | + "affiliation": "Chair of Building Energy Systems and Heat Supply, TU Dresden", |
| 22 | + "orcid": "https://orcid.org/0009-0001-6407-1495" |
| 23 | + } |
| 24 | + ], |
| 25 | + "contributors": [ |
| 26 | + { |
| 27 | + "name": "Chair of Building Energy Systems and Heat Supply, TU Dresden", |
| 28 | + "type": "HostingInstitution" |
| 29 | + } |
| 30 | + ], |
| 31 | + "keywords": [ |
| 32 | + "optimization", |
| 33 | + "energy systems", |
| 34 | + "energy flow modeling", |
| 35 | + "linear programming", |
| 36 | + "mixed-integer programming", |
| 37 | + "MILP", |
| 38 | + "operations research", |
| 39 | + "python", |
| 40 | + "district heating", |
| 41 | + "renewable energy", |
| 42 | + "multi-period optimization", |
| 43 | + "investment optimization", |
| 44 | + "capacity planning", |
| 45 | + "energy modeling", |
| 46 | + "sector coupling", |
| 47 | + "energy transition", |
| 48 | + "industrial processes", |
| 49 | + "stochastic optimization", |
| 50 | + "linopy", |
| 51 | + "xarray" |
| 52 | + ], |
| 53 | + "language": "eng", |
| 54 | + "grants": [ |
| 55 | + {"id": "03KB159B"} |
| 56 | + ], |
| 57 | + "related_identifiers": [ |
| 58 | + { |
| 59 | + "identifier": "https://github.com/flixOpt/flixopt", |
| 60 | + "relation": "isSupplementTo", |
| 61 | + "scheme": "url" |
| 62 | + }, |
| 63 | + { |
| 64 | + "identifier": "10.18086/eurosun.2022.04.07", |
| 65 | + "relation": "isDocumentedBy", |
| 66 | + "scheme": "doi" |
| 67 | + }, |
| 68 | + { |
| 69 | + "identifier": "https://flixopt.github.io/flixopt/", |
| 70 | + "relation": "isDocumentedBy", |
| 71 | + "scheme": "url" |
| 72 | + }, |
| 73 | + { |
| 74 | + "identifier": "https://pypi.org/project/flixopt/", |
| 75 | + "relation": "isIdenticalTo", |
| 76 | + "scheme": "url" |
| 77 | + } |
| 78 | + ], |
| 79 | + "communities": [ |
| 80 | + { |
| 81 | + "identifier": "energy" |
| 82 | + }, |
| 83 | + { |
| 84 | + "identifier": "zenodo" |
| 85 | + } |
| 86 | + ] |
| 87 | +} |
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