EnergyNumbers-Balancing - Revision history

Ludwig Schneider at 19:47, 10 February 2022

2022-02-10T19:47:43Z

Andrew ZP Smith: updating model scope

2016-08-25T08:18:43Z

updating model scope

Andrew ZP Smith at 19:04, 8 September 2015

2015-09-08T19:04:36Z

Andrew ZP Smith at 19:03, 8 September 2015

2015-09-08T19:03:54Z

Andrew ZP Smith: add link to my user profile here

2015-09-08T18:58:35Z

add link to my user profile here

Andrew ZP Smith at 09:31, 7 September 2015

2015-09-07T09:31:56Z

Andrew ZP Smith: First public announcement of the model's existence

2015-09-07T08:23:19Z

First public announcement of the model's existence

New page

{{Model
|Full_Model_Name=EnergyNumbers-Balancing
|author_institution=UCL Energy Institute
|authors=Andrew ZP Smith
|contact_persons=Andrew ZP Smith
|contact_email=andrew.smith@ucl.ac.uk
|website=http://energynumbers.info/balancing
|source_download=https://github.com/RCUK-CEE/energynumbers-balancing
|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.
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=No
|data_availability=some
|open_future=Yes
|modelling_software=Fortran, PHP, Javascript, HTML, CSS
|processing_software=Matlab, Python
|model_class=Simulating storage and exogenously-variable renewables
|sectors=Electricity
|technologies=Renewables
|decisions=dispatch
|georegions=Germany, Britain
|georesolution=National
|timeresolution=Hour
|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.
|deterministic=Deterministic
|is_suited_for_many_scenarios=Yes
|number_of_variables=28
|computation_time_minutes=0.00001
|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.
}}

@@ Line 9: / Line 9: @@
 |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, 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
 |data_availability=some
-|open_future=Yes
+|open_future=No
 |modelling_software=Fortran, PHP, Javascript, HTML, CSS
 |processing_software=Matlab, Python
 |model_class=Simulating storage and exogenously-variable renewables
 |sectors=Electricity
 |technologies=Renewables
 |decisions=dispatch
 |georegions=Britain, Germany, Spain
@@ Line 28: / Line 30: @@
 |is_suited_for_many_scenarios=Yes
 |number_of_variables=28
 |computation_time_minutes=0.00001
 |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.
 }}

@@ Line 20: / Line 20: @@
 |technologies=Renewables
 |decisions=dispatch
-|georegions=Germany, Britain
+|georegions=Britain, Germany, Spain
 |georesolution=National
 |timeresolution=Hour
 |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
 |is_suited_for_many_scenarios=Yes

@@ Line 2: / Line 2: @@
 |Full_Model_Name=EnergyNumbers-Balancing
 |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_email=andrew.smith@ucl.ac.uk