Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS
by Universidad Pontificia Comillas
Authors: Andres Ramos, Erik Alvarez, Francisco Labora
Contact: Andres Ramos
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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.
Based on Python / Pyomo. Using Python / Pandas for data processing.
Website / Documentation
Download
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Open Source Affero General Public License v3 (AGPL-3.0)
Directly downloadable
Input data shipped
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Model Scope |
Model type and solution approach |
Model class
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Bottom-up energy (electricity & hydrogen & heat) system model
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Sectors
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Electricity, Hydrogen, Heat
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Technologies
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Renewables, Conventional Generation, CHP
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Decisions
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dispatch, investment
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Regions
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Europe, African power pools, Spain, Portugal
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Geographic Resolution
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Node
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Time resolution
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Hour
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Network coverage
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transmission, DC load flow, net transfer capacities
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Model type
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Optimization
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Two-stage stochastic optimization model to determine the best invesment and operation decisions
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Variables
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Millions"Millions" is not a number.
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Computation time
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60 minutes (Computation time will depend on the optimization problem size)
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Objective
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Minimise total discounted cost of the energy system
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Uncertainty modeling
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Two-stage stochastic optimization
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Suited for many scenarios / monte-carlo
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Yes
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References
Scientific 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
https://dx.doi.org/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
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