]>
2020-04-01T19:54:30+02:00
Temoa
0
Joe DeCarolis, Kevin Hunter, Binghui Li, Sarat Sreepathi
10.1016/j.eneco.2013.07.014
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.
varies with chosen solver
5
Joe DeCarolis
all
investment
stochastic optimization, moeling-to-generate alternatives
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?
Tools for Energy Model Optimization and Analysis
single region
true
GNU General Public License version 2.0 (GPL-2.0)
Optimization
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.
Cost minimization
energy system optimization model
true
Python (Pyomo)
false
true
SQLite
all
Renewables
Conventional Generation
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.
Multi year
2015-08-04T16:09:50Z
2457239.1734954
2015-08-04T16:15:33Z
2457239.1774653
false
Temoa