]> 2026-04-14T13:29:08+02:00 SIREN 0 Angus King Angus King some dispatch investment SEN Integrated Renewable Energy Network Toolkit Individual power stations true Affero General Public License v3 (AGPL-3.0) Simulation Other Uses NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations Match generation to demand and minimise cost Electricity System Model true Python, NREL SAM false true Python https://sen.asn.au/modelling/ Electricity Renewables SIREN uses external datasets to model the potential for renewable energy generation for a geographic region. The approach is to model the data on an hourly basis for a desired year (ignoring leap days, that is, 8,760 hours). Users explore potential location and scale of renewable energy sources (stations, storage, transmission) to meet electricity demand. It is possible to model any geographic area and uses a number of open or publicly available data sources: <ul> <li>Maps can be created from OpenStreet Map (MapQuest) tiles <li>Weather data files can be created from NASA (MERRA2) or ECMWF (ERA5) satellite data <li>It uses US NREL SAM models to calculate energy generation </ul> SIREN is available, packaged for Windows, on Sourceforge (https://sourceforge.net/projects/sensiren/). There's a help file (https://rawgit.com/ozsolarwind/siren/master/help.html) which describes "how it works". The program source is available on github (https://github.com/ozsolarwind/siren) Hour 2016-06-06T09:58:09Z 2457545.9153819 2024-11-07T11:23:31Z 2460621.9746644 false SIREN