]> 2026-04-16T12:53:16+02:00 Genesys 0 Alvarez, Bussar, Cai, Chen, Moraes Jr., Stöcker, Thien 10.1016/j.egypro.2014.01.156 Bussar et. al, 2014, Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation Christian Bussar all dispatch investment 24 h foresight for storage operation 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? Genetic Optimisation of a European Energy Supply System EUMENA, 21 regions false GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1) Optimization Simulation optimisation of system combination with evolutionary strategy simulation of operation with hierarchical management strategy and linear load balancing between regions (network simplex) minimise levelised cost of electricity Electricity System Model false C++, boost library, MySQL and QT4, (optional CPLEX solver implementation) transmission net transfer capacities false true Excel/Matlab and a Visualisation tool programmed in QT4 (c++) Electricity Renewables Conventional Generation 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. Hour 2014-12-09T12:39:54Z 2457001.0277083 2017-12-13T13:04:19Z 2458101.0446644 false Genesys