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| | |Full_Model_Name=EnergyNumbers-Balancing | | |Full_Model_Name=EnergyNumbers-Balancing |
| | |author_institution=UCL Energy Institute | | |author_institution=UCL Energy Institute |
| − | |authors=[http://wiki.openmod-initiative.org/wiki/User:Andrew_ZP_Smith Andrew ZP Smith] | + | |authors=[[user:Andrew ZP Smith|Andrew ZP Smith]] |
| | |contact_persons=Andrew ZP Smith | | |contact_persons=Andrew ZP Smith |
| | |contact_email=andrew.smith@ucl.ac.uk | | |contact_email=andrew.smith@ucl.ac.uk |
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| | |source_download=https://github.com/RCUK-CEE/energynumbers-balancing | | |source_download=https://github.com/RCUK-CEE/energynumbers-balancing |
| | |logo=EnergyNumbers-logo400.png | | |logo=EnergyNumbers-logo400.png |
| − | |text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source. | + | |text_description=The model uses historic demand data, and historic (half-)hourly capacity factors for PV and wind, to simulate the extent to which demand could be met by some combination of wind, PV and storage. Please do email me if you'd like to request early access to the source, and mention your github username. |
| − | |open_source_licensed=Yes | + | |open_source_licensed=No |
| − | |license=GNU General Public License version 3.0 (GPL-3.0)
| + | |
| | |model_source_public=No | | |model_source_public=No |
| | |data_availability=some | | |data_availability=some |
| − | |open_future=Yes | + | |open_future=No |
| | |modelling_software=Fortran, PHP, Javascript, HTML, CSS | | |modelling_software=Fortran, PHP, Javascript, HTML, CSS |
| | |processing_software=Matlab, Python | | |processing_software=Matlab, Python |
| | + | |GUI=No |
| | |model_class=Simulating storage and exogenously-variable renewables | | |model_class=Simulating storage and exogenously-variable renewables |
| | |sectors=Electricity | | |sectors=Electricity |
| | |technologies=Renewables | | |technologies=Renewables |
| | + | |Storage (Gas)=No |
| | + | |Storage (Heat)=No |
| | |decisions=dispatch | | |decisions=dispatch |
| − | |georegions=Germany, Britain | + | |georegions=Britain, Germany, Spain |
| | |georesolution=National | | |georesolution=National |
| | |timeresolution=Hour | | |timeresolution=Hour |
| | |math_modeltype=Simulation | | |math_modeltype=Simulation |
| − | |math_modeltype_shortdesc=Historic (half-)hourly wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy. | + | |math_modeltype_shortdesc=Historic wind/PV capacity factors are scaled up to meet a scenario's specified aggregate penetration levels, and compared to historic (half-)hourly demand. Storage is dispatched period-by-period based on surplus/deficits of energy. Timescale is dependent on country: GB half-hourly; Germany hourly; Spain 10-minutely. |
| | |deterministic=Deterministic | | |deterministic=Deterministic |
| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| | |number_of_variables=28 | | |number_of_variables=28 |
| | + | |montecarlo=No |
| | |computation_time_minutes=0.00001 | | |computation_time_minutes=0.00001 |
| | |computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly | | |computation_time_comments=runtime ~1ms to simulate 4.5 years half-hourly |
| | |example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW. | | |example_research_questions=In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW. |
| | + | |Model input file format=No |
| | + | |Model file format=No |
| | + | |Model output file format=No |
| | }} | | }} |
In Britain, how much wind & PV generation would be constrained, and what proportion of demand would get met in real time, assuming half-hourly demand as it was 2011-2015, and X% aggregate wind penetration, Y% aggregate PV penetration, and power-to-gas storage with an input efficiency of A%, an output efficiency of B%, storage capacity of C TWh, an input capacity of D GW, and an output capacity of E GW.
