Temoa - Revision history

Joe DeCarolis at 16:15, 4 August 2015

2015-08-04T16:15:33Z

Joe DeCarolis at 16:14, 4 August 2015

2015-08-04T16:14:57Z

Joe DeCarolis at 16:10, 4 August 2015

2015-08-04T16:10:27Z

Joe DeCarolis: Created page with "{{Model |Full_Model_Name=Tools for Energy Model Optimization and Analysis |author_institution=NC State University |authors=Joe DeCarolis, Kevin Hunter, Binghui Li, Sarat Sreep..."

2015-08-04T16:09:50Z

Created page with "{{Model |Full_Model_Name=Tools for Energy Model Optimization and Analysis |author_institution=NC State University |authors=Joe DeCarolis, Kevin Hunter, Binghui Li, Sarat Sreep..."

New page

{{Model
|Full_Model_Name=Tools for Energy Model Optimization and Analysis
|author_institution=NC State University
|authors=Joe DeCarolis, Kevin Hunter, Binghui Li, Sarat Sreepathi
|contact_persons=Joe DeCarolis
|contact_email=jdecarolis@ncsu.edu
|website=http://temoaproject.org/
|source_download=https://github.com/TemoaProject/temoa/
|logo=TemoaFinalNoText.png
|text_description=Tools for Energy Model Optimization and Analysis (Temoa) is an open source framework used to conduct analysis with a bottom-up, technology rich energy system model.
|open_source_licensed=Yes
|license=GNU General Public License version 2.0 (GPL-2.0)
|model_source_public=Yes
|data_availability=all
|open_future=No
|modelling_software=Python (Pyomo)
|processing_software=SQLite
|model_class=energy system optimization model
|sectors=all
|technologies=Renewables, Conventional Generation
|decisions=investment
|georegions=U.S., currently
|georesolution=single region
|timeresolution=Multi year
|math_modeltype=Optimization
|math_modeltype_shortdesc= The model objective is to minimize the present cost of energy supply by deploying and utilizing energy technologies and commodities over time to meet a set of exogenously specified end-use demands.Technologies are linked to one another in a network via model constraints representing the allowable flow of energy commodities.
|math_objective=Cost minimization
|deterministic=stochastic optimization, moeling-to-generate alternatives
|is_suited_for_many_scenarios=Yes
|number_of_variables=depends on input dataset
|computation_time_minutes=< 5 mins
|computation_time_comments=varies with chosen solver
|citation_references=Hunter, K., Sreepathi, S., DeCarolis, J. F. (2013). Modeling for insight using tools for energy model optimization and analysis (TEMOA). Energy Economics, 40, 339-349.
|citation_doi=10.1016/j.eneco.2013.07.014
|example_research_questions=1. How does uncertainty in technology-specific characteristics (e.g., capital cost of solar PV) affect outcomes of interest (e.g., fuel prices, fossil fuel consumption, air emissions)?
2. Which technologies and fuels appear to be robust options given uncertainty in future climate
policy and rates of technology learning?
3. How much flexibility exists in energy system design and at what cost?
}}

@@ Line 24: / Line 24: @@
 |timeresolution=Multi year
 |math_modeltype=Optimization
-|math_modeltype_shortdesc=The model objective is to minimize the present cost of energy supply by deploying and utilizing energy technologies and commodities over time to meet a set of exogenously specified end-use demands.Technologies are linked to one another in a network via model constraints representing the allowable flow of energy commodities.
+|math_modeltype_shortdesc=The model objective is to minimize the present cost of energy supply by deploying and utilizing energy technologies and commodities over time to meet a set of exogenously specified end-use demands.
 |math_objective=Cost minimization
 |deterministic=stochastic optimization, moeling-to-generate alternatives

@@ Line 28: / Line 28: @@
 |deterministic=stochastic optimization, moeling-to-generate alternatives
 |is_suited_for_many_scenarios=Yes
-|number_of_variables=depends on input dataset
+|computation_time_minutes=5
-|computation_time_minutes=< 5 mins
 |computation_time_comments=varies with chosen solver
 |citation_references=Hunter, K., Sreepathi, S., DeCarolis, J. F. (2013). Modeling for insight using tools for energy model optimization and analysis (TEMOA). Energy Economics, 40, 339-349.

@@ Line 8: / Line 8: @@
 |source_download=https://github.com/TemoaProject/temoa/
 |logo=TemoaFinalNoText.png
 |text_description=Tools for Energy Model Optimization and Analysis (Temoa) is an open source framework used to conduct analysis with a bottom-up, technology rich energy system model.
 |open_source_licensed=Yes
 |license=GNU General Public License version 2.0 (GPL-2.0)
@@ Line 24: / Line 24: @@
 |timeresolution=Multi year
 |math_modeltype=Optimization
-|math_modeltype_shortdesc= The model objective is to minimize the present cost of energy supply by deploying and utilizing energy technologies and commodities over time to meet a set of exogenously specified end-use demands.Technologies are linked to one another in a network via model constraints representing the allowable flow of energy commodities.
+|math_modeltype_shortdesc=The model objective is to minimize the present cost of energy supply by deploying and utilizing energy technologies and commodities over time to meet a set of exogenously specified end-use demands.Technologies are linked to one another in a network via model constraints representing the allowable flow of energy commodities.
 |math_objective=Cost minimization
 |deterministic=stochastic optimization, moeling-to-generate alternatives