]> 2026-04-16T10:48:53+02:00 OpenTEPES 0 Andres Ramos, Erik Alvarez, Francisco Labora 10.1016/j.softx.2022.101070 A. Ramos, E. Quispe, S. Lumbreras “OpenTEPES: Open-source Transmission and Generation Expansion Planning” SoftwareX 18: June 2022 10.1016/j.softx.2022.101070 Computation time will depend on the optimization problem size 60 Andres Ramos all dispatch investment Two-stage stochastic optimization 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 Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS Node true Affero General Public License v3 (AGPL-3.0) Optimization Two-stage stochastic optimization model to determine the best invesment and operation decisions Minimise total discounted cost of the energy system Bottom-up energy (electricity & hydrogen & heat) system model true Python / Pyomo transmission DC load flow net transfer capacities true true Python / Pandas Electricity Hydrogen Heat Renewables Conventional Generation CHP 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. Hour 2025-01-03T09:27:29Z 2460678.8940856 2025-01-03T10:08:32Z 2460678.9225926 false OpenTEPES