SIREN - Revision history

Angus King at 11:23, 7 November 2024

2024-11-07T11:23:31Z

Angus King at 11:21, 7 November 2024

2024-11-07T11:21:47Z

Angus King at 11:21, 7 November 2024

2024-11-07T11:21:15Z

Angus King at 07:51, 7 November 2024

2024-11-07T07:51:22Z

Angus King at 05:05, 8 August 2023

2023-08-08T05:05:33Z

Angus King at 10:10, 7 July 2023

2023-07-07T10:10:38Z

Angus King at 02:49, 7 July 2023

2023-07-07T02:49:30Z

Angus King at 07:34, 28 June 2016

2016-06-28T07:34:05Z

Angus King at 10:01, 6 June 2016

2016-06-06T10:01:01Z

Angus King: Created page with "{{Model |Full_Model_Name=SEN Integrated Renewable Energy Network Toolkit |author_institution=Sustainable Energy Now Inc |authors=Angus King |contact_persons=Angus King |contac..."

2016-06-06T09:58:09Z

Created page with "{{Model |Full_Model_Name=SEN Integrated Renewable Energy Network Toolkit |author_institution=Sustainable Energy Now Inc |authors=Angus King |contact_persons=Angus King |contac..."

New page

{{Model
|Full_Model_Name=SEN Integrated Renewable Energy Network Toolkit
|author_institution=Sustainable Energy Now Inc
|authors=Angus King
|contact_persons=Angus King
|contact_email=angus@ozsolarwind.com
|website=http://www.sen.asn.au/modelling_overview
|source_download=https://github.com/ozsolarwind/siren
|logo=Sen logo 99.png
|text_description=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 publicaly available data sources:
o Maps can be created from OpenStreet Map (MapQuest) tiles
o Weather data files can be created from NASA (MERRA2) satellite data
o It uses US NREL SAM models to calculate energy generation
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"
|open_source_licensed=Yes
|license=Affero General Public License v3 (AGPL-3.0)
|model_source_public=Yes
|data_availability=some
|open_future=No
|modelling_software=Python, NREL SAM
|processing_software=Python
|sectors=Electricity,
|technologies=Renewables
|decisions=dispatch, investment
|timeresolution=Hour
|math_modeltype=Simulation, Other
|math_modeltype_shortdesc=User NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations
|math_objective=Match generation to demand and minimise cost
|is_suited_for_many_scenarios=No
|report_references=http://www.sen.asn.au/modelling_findings
}}

@@ Line 33: / Line 33: @@
 |Storage (Heat)=No
 |decisions=dispatch, investment
 |georesolution=Individual power stations
 |timeresolution=Hour

@@ Line 14: / Line 14: @@
 <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"
+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)
 |User documentation=https://rawgit.com/ozsolarwind/siren/master/help.html

@@ Line 15: / Line 15: @@
 </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"
 |User documentation=https://rawgit.com/ozsolarwind/siren/master/help.html
 |Number of developers=1

@@ Line 37: / Line 37: @@
 |math_modeltype_shortdesc=Uses NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations
 |math_objective=Match generation to demand and minimise cost
-|is_suited_for_many_scenarios=No
+|is_suited_for_many_scenarios=Yes
 |montecarlo=No
 |report_references=https://sen.asn.au/modelling/

@@ Line 4: / Line 4: @@
 |authors=Angus King
 |contact_persons=Angus King
-|contact_email=angus@ozsolarwind.com
+|contact_email=angusking53@gmail.com
 |website=http://www.sen.asn.au/modelling_overview
 |source_download=https://github.com/ozsolarwind/siren
@@ Line 32: / Line 32: @@
 |Storage (Heat)=No
 |decisions=dispatch, investment
 |georesolution=Individual power stations
 |timeresolution=Hour

@@ Line 7: / Line 7: @@
 |website=http://www.sen.asn.au/modelling_overview
 |source_download=https://github.com/ozsolarwind/siren
-|logo=Sen logo 99.png
+|logo=Sen48x48.png
 |text_description=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:
-o Maps can be created from OpenStreet Map (MapQuest) tiles
+<ul>
-o Weather data files can be created from NASA (MERRA2) satellite data
+<li>Maps can be created from OpenStreet Map (MapQuest) tiles
-o It uses US NREL SAM models to calculate energy generation
+<li>Weather data files can be created from NASA (MERRA2) or ECMWF (ERA5) satellite data
 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"
 |open_source_licensed=Yes
 |license=Affero General Public License v3 (AGPL-3.0)
 |model_source_public=Yes
 |data_availability=some
 |open_future=No
 |modelling_software=Python, NREL SAM
 |processing_software=Python
 |model_class=Electricity System Model,
 |sectors=Electricity,
 |technologies=Renewables
 |decisions=dispatch, investment
 |timeresolution=Hour
 |math_modeltype=Simulation, Other
-|math_modeltype_shortdesc=User NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations
+|math_modeltype_shortdesc=Uses NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations
 |math_objective=Match generation to demand and minimise cost
 |is_suited_for_many_scenarios=No
-|report_references=http://www.sen.asn.au/modelling_findings
+|montecarlo=No
 }}