Genesys - Revision history

Cbussar at 13:04, 13 December 2017

2017-12-13T13:04:19Z

Ingmar Schlecht at 09:45, 10 December 2014

2014-12-10T09:45:00Z

Cbussar at 12:49, 9 December 2014

2014-12-09T12:49:30Z

Cbussar at 12:48, 9 December 2014

2014-12-09T12:48:15Z

Cbussar at 12:46, 9 December 2014

2014-12-09T12:46:57Z

Cbussar: Created page with "{{Model |Full_Model_Name=Genetic Optimisation of a European Energy Supply System |author_institution=RWTH-Aachen University |authors=Alvarez, Bussar, Cai, Chen, Moraes, Stöck..."

2014-12-09T12:39:54Z

Created page with "{{Model |Full_Model_Name=Genetic Optimisation of a European Energy Supply System |author_institution=RWTH-Aachen University |authors=Alvarez, Bussar, Cai, Chen, Moraes, Stöck..."

New page

{{Model
|Full_Model_Name=Genetic Optimisation of a European Energy Supply System
|author_institution=RWTH-Aachen University
|authors=Alvarez, Bussar, Cai, Chen, Moraes, Stöcker, Thien
|contact_persons=Christian Bussar
|contact_email=cbu@isea.rwth-aachen.de
|website=www.genesys.rwth-aachen.de
|source_download=Form on website
|logo=Genesys.png
|text_description=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.
|open_source_licensed=Yes
|license=GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1)
|model_source_public=No
|data_availability=all
|open_future=No
|modelling_software=C++, boost library, MySQL and QT4, (optional CPLEX solver implementation)
|processing_software=Excel/Matlab and a Visualisation tool programmed in QT4 (c++)
|model_class=Electricity System Model
|sectors=Electricity
|technologies=Renewables, Conventional Generation
|decisions=dispatch, investment
|georegions=Europe, North Africa, Middle East
|georesolution=EUMENA, 21 regions
|timeresolution=Hour
|network_coverage=transmission, net transfer capacities
|math_modeltype=Optimization, Simulation
|math_modeltype_shortdesc=optimisation of system combination with evolutionary strategy
simulation of operation with hierarchical management strategy and linear load balancing between regions (network simplex)
|math_objective=minimise levelised cost of electricity
|deterministic=24 h foresight for storage operation
|is_suited_for_many_scenarios=No
|citation_references=Bussar et. al, 2014, Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation
|citation_doi=10.1016/j.egypro.2014.01.156
|example_research_questions=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?
}}

@@ Line 1: / Line 1: @@
 {{Model
 |Full_Model_Name=Genetic Optimisation of a European Energy Supply System
 |author_institution=RWTH-Aachen University
 |authors=Alvarez, Bussar, Cai, Chen, Moraes Jr., Stöcker, Thien
@@ Line 19: / Line 20: @@
 |modelling_software=C++, boost library, MySQL and QT4, (optional CPLEX solver implementation)
 |processing_software=Excel/Matlab and a Visualisation tool programmed in QT4 (c++)
 |model_class=Electricity System Model
 |sectors=Electricity
 |technologies=Renewables, Conventional Generation
 |decisions=dispatch, investment
 |georegions=Europe, North Africa, Middle East
@@ Line 33: / Line 37: @@
 |deterministic=24 h foresight for storage operation
 |is_suited_for_many_scenarios=No
 |computation_time_minutes=1-3 min for operation simulation (5y data) <br> 80h optimisation run
 |citation_references=Bussar et. al, 2014, Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation
@@ Line 40: / Line 45: @@
 How much renewable generator power of which technology are necessary?
 How much conventional generators are allowed within assumed CO2 emission limits?
 }}

@@ Line 5: / Line 5: @@
 |contact_persons=Christian Bussar
 |contact_email=cbu@isea.rwth-aachen.de ;  genesys@isea.rwth-aachen.de
-|website=www.genesys.rwth-aachen.de
+|website=http://www.genesys.rwth-aachen.de
 |source_download=Form on website
 |logo=Genesys.png