|
|
| (2 intermediate revisions by one user not shown) |
| Line 8: |
Line 8: |
| | |source_download=https://github.com/TemoaProject/temoa/ | | |source_download=https://github.com/TemoaProject/temoa/ |
| | |logo=TemoaFinalNoText.png | | |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. | + | |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 | | |open_source_licensed=Yes |
| | |license=GNU General Public License version 2.0 (GPL-2.0) | | |license=GNU General Public License version 2.0 (GPL-2.0) |
| Line 24: |
Line 24: |
| | |timeresolution=Multi year | | |timeresolution=Multi year |
| | |math_modeltype=Optimization | | |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 | | |math_objective=Cost minimization |
| | |deterministic=stochastic optimization, moeling-to-generate alternatives | | |deterministic=stochastic optimization, moeling-to-generate alternatives |
| | |is_suited_for_many_scenarios=Yes | | |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 | | |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_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. |
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.
https://dx.doi.org/10.1016/j.eneco.2013.07.014
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?
