Category: EMP-E

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Case Study 5 Impact of decentralization of investment decisions in power systems

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,

FRESH:COM, TU Wien

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,

Gusto, TU Wien

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

openTEPES, Comillas

The Open Generation and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES) determines the investment plans of new facilities (generators, ESS and lines) to supply the forecasted demand at minimum cost. Tactical planning is concerned with time horizons of 10-20 years. Its objective is to evaluate the future generation, storage and network needs. The main results are the guidelines for the future structure of the generation and transmission systems. The openTEPES model is a decision support system aimed at defining the generation and transmission expansion plan of a large-scale electric system at a tactical level. This plan

Integrate, SINTEF

Integrate is an optimization model for planning of local energy systems where different energy carriers and technologies are considered simultaneously. The model gives the user a graphical overview of a given energy system (e.g. municipality, city, suburb) with respect to costs, environmental consequences and use of local energy resources. The current version can optimize the construction of infrastructure for most relevant energy carriers; electricity, district heating, cooling, gas, waste and biomass, including conversions between these. It is not limited to continuous transport like lines, cables and pipes, but can also include discrete transport by ship, road or rail. The main

EXIOMOD 2.0, TNO

EXIOMOD is an economic model able to measure the environmental impact of economic activities. As a multisector model, it accounts for the economic dependency between sectors. It is also a global and multi-country model with a consistent trade linking between countries at the commodity level. Based on national account data, it can provide compressive scenarios regarding the evolution of key economic variables such as GDP, value-added, turn-over, (intermediary and final) consumption, investment, employment, trade (exports and imports), public spending or taxes. Thanks to its environmental extensions, it makes the link between the economic activities of various agents (sectors, consumers) and