Genesys

Latest revision as of 13:04, 13 December 2017

Genetic Optimisation of a European Energy Supply System

Authors:
Alvarez, Bussar, Cai, Chen, Moraes Jr., Stöcker, Thien

Contact:
Christian Bussar

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.

Based on C++, boost library, MySQL and QT4, (optional CPLEX solver implementation). Using Excel/Matlab and a Visualisation tool programmed in QT4 (c++) for data processing.

Website / Documentation
[Form on website Download]

Open Source
GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1)

Not directly downloadable

Input data shipped

Model Scope

Model type and solution approach

Model class	Electricity System Model
Sectors	Electricity
Technologies	Renewables, Conventional Generation
Decisions	dispatch, investment
Regions	Europe, North Africa, Middle East
Geographic Resolution	EUMENA, 21 regions
Time resolution	Hour
Network coverage	transmission, net transfer capacities

Model type	Optimization, Simulation
	optimisation of system combination with evolutionary strategy simulation of operation with hierarchical management strategy and linear load balancing between regions (network simplex)
Variables
Computation time	1-3 min for operation simulation (5y data) 80h optimisation run"-3minforoperationsimulation(5ydata)<br/>80hoptimisationrun" is not declared as a valid unit of measurement for this property. minutes
Objective	minimise levelised cost of electricity
Uncertainty modeling	24 h foresight for storage operation
Suited for many scenarios / monte-carlo	No

References

Scientific references

Bussar et. al, 2014, Optimal Allocation and Capacity of Energy Storage Systems in a Future European Power System with 100% Renewable Energy Generation
https://dx.doi.org/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?

◀ back to model list

@@ Line 1: / Line 1: @@
 {{Model
 |Full_Model_Name=Genetic Optimisation of a European Energy Supply System
+|Acronym=GENESYS(1)
 |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++)
+|GUI=No
 |model_class=Electricity System Model
 |sectors=Electricity
 |technologies=Renewables, Conventional Generation
+|Storage (Gas)=No
+|Storage (Heat)=No
 |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
+|montecarlo=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?
+|Model input file format=No
+|Model file format=No
+|Model output file format=No
 }}

Author institution	RWTH-Aachen University +
Authors	Alvarez, Bussar, Cai, Chen, Moraes Jr., Stöcker, Thien +
Citation doi	10.1016/j.egypro.2014.01.156 +
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
Computation time minutes
Contact email
Contact persons	Christian Bussar +
Data availability	all +
Decisions	dispatch + and investment +
Deterministic	24 h foresight for storage operation +
Example research questions	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?
Full Model Name	Genetic Optimisation of a European Energy Supply System +
Georegions	Europe, North Africa, Middle East +
Georesolution	EUMENA, 21 regions +
Is suited for many scenarios	false +
License	GNU Library or "Lesser" General Public License version 2.1 (LGPL-2.1) +
Math modeltype	Optimization + and 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 +
Model class	Electricity System Model +
Model source public	false +
Modelling software	C++, boost library, MySQL and QT4, (optional CPLEX solver implementation) +
Network coverage	transmission + and net transfer capacities +
Open future	false +
Open source licensed	true +
Processing software	Excel/Matlab and a Visualisation tool programmed in QT4 (c++) +
Sectors	Electricity +
Source download	http://Form%20on%20website +
Technologies	Renewables + and Conventional Generation +
Text description	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.
Timeresolution	Hour +
Website	http://www.genesys.rwth-aachen.de +

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Latest revision as of 13:04, 13 December 2017

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Genesys

Latest revision as of 13:04, 13 December 2017

References

Scientific references

Example research questions