oemof.solph—A model generator for linear and mixed-integer linear optimisation of energy systems
Year: 2020
Type: article
Abstract: Energy system modelling is of high importance to investigate different scenarios in their technical, economical and environmental feasibility. The interplay of different technologies and energy flows in respective models can be represented as directed graphs in a generic but comprehensible formalism. However, additional effort is needed to create specific models and to derive an optimal sizing or operation of components. To tackle this problem, oemof.solph facilitates the formulation of (mixed-integer) linear programs from a generic object-oriented structure. Its structure allows to create models on different levels of detail by means of predefined components and an optional formulation of additional expressions and constraints. With its open and documented code base, extensive collection of examples and an active community it is useful across many levels, from simple applications to advanced modelling.
Source: Software Impacts
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $250
Awards: Living Lab demonstration of a pure H2 Fuel Cell Cogeneration system, G3651108990, Verbundvorhaben EnStadt: QUARREE100: Resiliente, integrierte und systemdienliche Energieversorgungssysteme im städtischen Bestandsquartier unter vollständiger Integration erneuerbarer Energien - Rüsdorfer Kamp (QUARREE100): Projektkoordination, Systemgestaltung, Partizipationsprozesse und synth. Kraftstoffe, G7346253746, G783960812
OpenAlex ID: W3081251234