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| | |logo=OpenTEPES.png | | |logo=OpenTEPES.png |
| | |text_description=The openTEPES model presents a decision support system for defining the integrated generation, storage, and transmission expansion plan (GEP+SEP+TEP) of a large-scale electric system at a tactical level (i.e., time horizons of 10-20 years), defined as a set of generation, storage, and (electricity, hydrogen, and heat) networks dynamic investment decisions for multiple future years. | | |text_description=The openTEPES model presents a decision support system for defining the integrated generation, storage, and transmission expansion plan (GEP+SEP+TEP) of a large-scale electric system at a tactical level (i.e., time horizons of 10-20 years), defined as a set of generation, storage, and (electricity, hydrogen, and heat) networks dynamic investment decisions for multiple future years. |
| | + | |Primary outputs=Investment, operation, emission, marginal, economica, and operational flexibility results |
| | |User documentation=https://opentepes.readthedocs.io/en/latest/index.html | | |User documentation=https://opentepes.readthedocs.io/en/latest/index.html |
| | |Code documentation=https://github.com/IIT-EnergySystemModels/openTEPES | | |Code documentation=https://github.com/IIT-EnergySystemModels/openTEPES |
| | + | |Source of funding=European and Spanish research projects |
| | + | |Number of developers=Three |
| | + | |Number of users=+132k downloads |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| | |license=Affero General Public License v3 (AGPL-3.0) | | |license=Affero General Public License v3 (AGPL-3.0) |
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| | |External optimizer=HiGHS, Gurobi | | |External optimizer=HiGHS, Gurobi |
| | |GUI=No | | |GUI=No |
| | + | |model_class=Bottom-up |
| | |sectors=Electricity, Hydrogen, Heat | | |sectors=Electricity, Hydrogen, Heat |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| | |Demand sectors=Households, Industry, Commercial sector | | |Demand sectors=Households, Industry, Commercial sector |
| | |Energy carrier (Gas)=Hydrogen | | |Energy carrier (Gas)=Hydrogen |
| | + | |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium |
| | |Energy carriers (Renewable)=Hydro, Sun, Wind | | |Energy carriers (Renewable)=Hydro, Sun, Wind |
| | |Transfer (Electricity)=Transmission | | |Transfer (Electricity)=Transmission |
| | + | |Transfer (Gas)=Transmission |
| | |Transfer (Heat)=Transmission | | |Transfer (Heat)=Transmission |
| | |Storage (Electricity)=Battery, PHS | | |Storage (Electricity)=Battery, PHS |
| − | |Storage (Gas)=No | + | |Storage (Gas)=Yes |
| | |Storage (Heat)=Yes | | |Storage (Heat)=Yes |
| | + | |Market models=Centralized dispatch and investment |
| | |decisions=dispatch, investment | | |decisions=dispatch, investment |
| | + | |georegions=Europe, African power pools, Spain |
| | |timeresolution=Hour | | |timeresolution=Hour |
| | |network_coverage=transmission, DC load flow, net transfer capacities | | |network_coverage=transmission, DC load flow, net transfer capacities |
| | |Observation period=More than one year | | |Observation period=More than one year |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
| | + | |math_modeltype_shortdesc=Two-stage stochastic optimization model to determine the best invesment and operation decisions |
| | |math_objective=Minimise total discounted cost of the energy system | | |math_objective=Minimise total discounted cost of the energy system |
| | + | |deterministic=Two-stage stochastic optimization |
| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| | |number_of_variables=Millions | | |number_of_variables=Millions |
| | |montecarlo=No | | |montecarlo=No |
| | |computation_time_minutes=60 | | |computation_time_minutes=60 |
| − | |computation_time_hardware=Any personal computer | + | |computation_time_hardware=Any personal computer or server |
| | + | |computation_time_comments=Computation time will depend on the optimization problem size |
| | |citation_references=A. Ramos, E. Quispe, S. Lumbreras “OpenTEPES: Open-source Transmission and Generation Expansion Planning” SoftwareX 18: June 2022 10.1016/j.softx.2022.101070 | | |citation_references=A. Ramos, E. Quispe, S. Lumbreras “OpenTEPES: Open-source Transmission and Generation Expansion Planning” SoftwareX 18: June 2022 10.1016/j.softx.2022.101070 |
| | |citation_doi=10.1016/j.softx.2022.101070 | | |citation_doi=10.1016/j.softx.2022.101070 |
| | + | |example_research_questions=Energy transition analysis |
| | + | * Linkage with energy system models (integrated assessment models IAM) to refine the representation of the power sector |
| | + | * National Energy and Climate Plan (NECP) 2030 for Spain |
| | + | |
| | + | Storage analysis |
| | + | * Cost-benefit analysis (CBA) of candidate pumped-hydro storage units |
| | + | * Future ESS role (batteries vs. pumped-hydro storage vs. CSP) |
| | + | * Penetration of EV and type of charge |
| | + | * Impact of local energy communities (LEC) on transmission investments with detailed representation of storage hydro |
| | + | |
| | + | Security of supply |
| | + | * Technologies providing firmness and flexibility to the system |
| | + | |Larger scale usage=European electric system |
| | + | |Interfaces=CSV files |
| | |Model input file format=Yes | | |Model input file format=Yes |
| | |Model file format=Yes | | |Model file format=Yes |
| | |Model output file format=Yes | | |Model output file format=Yes |
| | }} | | }} |
A. Ramos, E. Quispe, S. Lumbreras “OpenTEPES: Open-source Transmission and Generation Expansion Planning” SoftwareX 18: June 2022 10.1016/j.softx.2022.101070
https://dx.doi.org/10.1016/j.softx.2022.101070
