Author institution
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RWTH-Aachen University +
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Authors
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Alvarez, Bussar, Cai, Chen, Moraes Jr., Stöcker, Thien +
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Citation doi
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10.1016/j.egypro.2014.01.156 +
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Citation references
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Bussar et. al, 2014, Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation
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Contact persons
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Christian Bussar +
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Data availability
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all +
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Decisions
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dispatch +
, investment +
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Deterministic
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24 h foresight for storage operation +
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Example research questions
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How much storage systems of which technolo … How much storage systems of which technology needs to be implemented in the future energy system.
How big are the transfer capacities between regions.
How much renewable generator power of which technology are necessary?
How much conventional generators are allowed within assumed CO2 emission limits?llowed within assumed CO2 emission limits?
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Full Model Name
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Genetic Optimisation of a European Energy Supply System +
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Georegions
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Europe, North Africa, Middle East +
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Georesolution
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EUMENA, 21 regions +
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Is suited for many scenarios
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false +
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License
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GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1) +
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Math modeltype
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Optimization +
, Simulation +
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Math modeltype shortdesc
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optimisation of system combination with evolutionary strategy
simulation of operation with hierarchical management strategy and linear load balancing between regions (network simplex) +
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Math objective
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minimise levelised cost of electricity +
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Model class
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Electricity System Model +
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Model source public
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false +
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Modelling software
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C++, boost library, MySQL and QT4, (optional CPLEX solver implementation) +
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Network coverage
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transmission +
, net transfer capacities +
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Open future
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false +
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Open source licensed
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true +
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Processing software
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Excel/Matlab and a Visualisation tool programmed in QT4 (c++) +
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Sectors
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Electricity +
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Source download
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http://Form%20on%20website +
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Technologies
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Renewables +
, Conventional Generation +
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Text description
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The GENESYS Simulation tool has the centra … The GENESYS Simulation tool has the central target so optimise the future European power system (electricity) with a high share of renewable generation. It can find an economic optimal distribution of generators, storage and grid in a 21 region Europe.
The optimisation is based on a covariance matrix adaption evolution strategy (CMA-ES) while the operation is simulated as a hierarchical setup of system elements aiming to balance the load at minimal cost.
GENESYS comes with a set of input time-series and a parameter set for 2050 which can be adjusted by the user.
It was developed as open source within a publicly funded project and its development is currently continued at RWTH Aachen University.ently continued at RWTH Aachen University.
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Timeresolution
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Hour +
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Website
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http://www.genesys.rwth-aachen.de +
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Creation dateThis property is a special property in this wiki.
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9 December 2014 12:39:54 +
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Has improper value forThis property is a special property in this wiki.
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Computation time minutes +
, Contact email +
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Categories |
Model +
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Last editor isThis property is a special property in this wiki.
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User:Cbussar +
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Modification dateThis property is a special property in this wiki.
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13 December 2017 13:04:19 +
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Is a new pageThis property is a special property in this wiki.
|
false +
|