This report focuses on the steps and requirements that the process of opening up a model should comply with, as well as some evidences of the opening-up of the models within the project.
The Global Energy System Model (GENeSYS-MOD) is an open-source energy system model, originally based on the Open-Source Energy Modeling System (OSeMOSYS) framework. While still part of the OSeMOSYS family of models, various aspects have been redesigned, expanded, or added. GENeSYS-MOD is a linear program, minimizing total system costs. Energy demands are exogenously predefined and the model needs to provide the necessary capacities to meet them. The modeling framework is very flexible in its use cases. Based on research question and input data, calculations can be done from a household-basis to a global aggregation of regions. In essence, GENeSYS-MOD can be
OpenEntrance Case Study 5 The main issue of case study 5 (CS5) is to evaluate the impact of decentralization of investment decisions compared to centralized decisions on power systems. More specifically, the centralized framework is viewed here as the least cost case and is considered as a baseline. All resources are supposed to be exploited in a common objective taking advantage of geographical disparities. On the other hand, decentralization is the natural trend we are following because, it allows to enhance acceptance and active participation of communities in fully exploiting the potential of local flexibilities involving distributed renewable generation, heat,
The peer-to-peer electricity trading model FRESH:COM developed by TU Wien is part of the case study “Behavior of communities of actors” within the H2020 project openENTRANCE. The model was transformed to an open-source model during the project. It is now publicly available on GitHub at github.com/tperger/FRESH-COM implemented in Python. The linear optimization model perfectly allocates prosumers’ renewable electricity generation from PV systems supported by battery energy storage systems (BESSs) among the actors of the community, considering each actor’s willingness-to-pay for avoiding emissions and for purchasing PV electricity generated by the community. The prosumers become active participants in decentralized energy markets,
The GUSTO model is an open-source model (OSM) optimizing the energy technology investment (portfolio decision optimization) and the technology dispatch on a local level. It is an extension of the existing OSM urbs. The expansion of the model’s framework includes additional features and functionalities. Hence, the model is tailor-made for analyzing local energy systems such as neighborhoods and energy communities. See the model application in the publications https://doi.org/10.1016/j.apenergy.2020.116166 and https://doi.org/10.3390/en14020305. The first one includes a detailed description of the model’s extension. The extended model is a mixed-integer linear program (MILP) and provides the following objective functions: (i) minimizing total costs of
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open ENergy TRanstion ANalyses for a low-Carbon Economy
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