SIREN

Latest revision as of 11:23, 7 November 2024

SEN Integrated Renewable Energy Network Toolkit

Authors:
Angus King

Contact:
Angus King

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:

Maps can be created from OpenStreet Map (MapQuest) tiles
Weather data files can be created from NASA (MERRA2) or ECMWF (ERA5) satellite data
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". The program source is available on github (https://github.com/ozsolarwind/siren)

Based on Python, NREL SAM. Using Python for data processing.

Website / Documentation
Download

Open Source
Affero General Public License v3 (AGPL-3.0)

Directly downloadable

Some input data shipped

Model Scope

Model type and solution approach

Model class	Electricity System Model
Sectors	Electricity
Technologies	Renewables
Decisions	dispatch, investment
Regions
Geographic Resolution	Individual power stations
Time resolution	Hour
Network coverage

Model type	Simulation, Other
	Uses NREL SAM models to estimate hourly renewable generation for a range/number of renewable energy stations
Variables
Computation time	minutes
Objective	Match generation to demand and minimise cost
Uncertainty modeling
Suited for many scenarios / monte-carlo	Yes

References

Scientific references

Reports produced using the model

https://sen.asn.au/modelling/

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@@ 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 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
 |Number of developers=1
@@ Line 32: / Line 33: @@
 |Storage (Heat)=No
 |decisions=dispatch, investment
+|georesolution=Individual power stations
 |timeresolution=Hour
 |math_modeltype=Simulation, Other
 |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/

Author institution	Sustainable Energy Now Inc +
Authors	Angus King +
Contact email	angusking53@gmail.com +
Contact persons	Angus King +
Data availability	some +
Decisions	dispatch + and investment +
Full Model Name	SEN Integrated Renewable Energy Network Toolkit +
Georesolution	Individual power stations +
Is suited for many scenarios	true +
License	Affero General Public License v3 (AGPL-3.0) +
Math modeltype	Simulation + and Other +
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 +
Model class	Electricity System Model +
Model source public	true +
Modelling software	Python, NREL SAM +
Open future	false +
Open source licensed	true +
Processing software	Python +
Report references	https://sen.asn.au/modelling/
Sectors	Electricity +
Source download	https://github.com/ozsolarwind/siren +
Technologies	Renewables +
Text description	SIREN uses external datasets to model the … 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: Maps can be created from OpenStreet Map (MapQuest) tiles Weather data files can be created from NASA (MERRA2) or ECMWF (ERA5) satellite data 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". The program source is available on github (https://github.com/ozsolarwind/siren)hub (https://github.com/ozsolarwind/siren)
Timeresolution	Hour +
Website	http://www.sen.asn.au/modelling_overview +

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SIREN

Latest revision as of 11:23, 7 November 2024

References

Scientific references

Reports produced using the model

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About

Help

Search

Navigation

Search

Interaction

Toolbox

Namespaces

Variants

Views

Actions

SIREN

Latest revision as of 11:23, 7 November 2024

References

Scientific references

Reports produced using the model