Report on optimization (for developing together with WP4)

IDEAS proposes integration of different complementary renewable energy technologies RET aiming to increase individual and overall system efficiency and cost effectiveness This task will focus on delivering a design methodology and a multicriteria decision support tool for determining optimal integration approach and sizingdimensioning of system components The tool will leverage a longterm simulationoptimisation of hybrid RET system operation typically 1020 yrs to evaluate its performance and perform technoeconomic feasibility assessment To test multiple integration options the tool will investigate different combinations of RETs considering different components sizes eg rated power of PV panels thermal storage capacity HP capacity etc as well as different system topologies eg use of multiple microinverters over a single device with or without storage etc Each combination will be considered as a unique configuration The major system components will be varied while the auxiliary equipment dimensioning will be determined by the Balance of System BoS analysis Each configuration will be formalised via parametrised mathematical model either deterministicstochastic and in combination with renewable energy harvesting potential of each demo site based on historical meteorological data for specific site eg TMYtypical meteorological year used for numerical simulationoptimisation of longterm configuration operation Depending on the complexity of adopted models various linear eg Linear Programming or Mixed Integer Linear Programming and nonlinear eg Genetic Algorithms optimisation techniques will be used to tune the system parameters The system cost effectiveness will be calculated based on necessary initial investment operation and maintenance OM costs cost of fuel if applicable and cost of capital As a result evaluation of relevant key performance indicators KPIs for each configuration will be derived covering different technical total renewable energy production total imports from power grid etc environmental GHG emissions and economic indicators eg Levelized Cost of Electricity Net Present Value Return of Investment Internal Rate of Return etc To reach a desired tradeoff across different often confronted design criteria and establish outranking among multiple feasible configuration alternatives a stateoftheart multicriteria decision support methods will be utilized such as ELECTRE AHP TOPSIS or PROMETHEE Finally for the purpose of mathematical modelling and numerical simulationsoptimisations a wellknown environment such as MATLABSimulink GAMS or else will be employedThis will be completed under task 73