Browsing by Autor "Felipe Feijoo"

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Evaluating the Impact of Flexibilities from Heating and Electromobility in Chile’s Carbon Neutrality Pathway
(Multidisciplinary Digital Publishing Institute, 2024) Abhishake Kundu; Francisco Flores; Carlos A.A. Fernandez Vazquez; Humberto Godoy; Sylvain Quoilin; Mónica Castañeda; Felipe Feijoo
Chile’s commitment to achieve carbon neutrality by 2050 underscores the need for robust decarbonization strategies across various sectors. Despite making progress in integrating renewable energy, sectors like transportation and residential heating, which are heavily reliant on fossil fuels, present significant opportunities for decarbonization. This study develops and evaluates pathways based on Chile’s Long-Term Energy Plan for assessing the effect of flexibilities from the power-to-heat and power-to-transportation sectors. Using EnergyPLAN, we model different scenarios of Chile’s 2050 energy plan that incorporate varying levels of individual heating and electromobility and assess their impacts on excess (surplus) electricity generation, different cost metrics, and renewable energy penetration. Findings indicate that increasing flexibility within the transportation sector through smart charging and vehicle-to-grid technologies can reduce excess generation, enhance grid stability, and lower operational costs. Flexibilities in individual heating, when coupled with more renewable energy capacity, show the potential to decrease reliance on fossil fuels significantly. The evidence of major efficiency gains in Chile’s 2050 energy plan, which is achievable by investing in heating and transportation flexibilities and further augmented by the country’s unique renewable potential, should interest stakeholders. Future work will focus on optimizing these technologies to address Chile’s specific infrastructure and regulatory challenges.
Implications of defining exogenous variables in Energy System Modeling with Integrated Assessment Models for transition planning
(Elsevier BV, 2026) Carlos A.A. Fernandez Vazquez; Francisco Flores; Ray A. Rojas Candia; Julio Pascual; Felipe Feijoo; Sylvain Quoilin
The sustainable transition of energy systems heavily relies on models that provide diverse scopes and applications. This study explores how two modeling approaches can work in tandem and complement each other to provide a more robust framework for analyzing the development of energy systems at the country level. Specifically, we consider an Integrated Assessment Model (GCAM), to evaluate alternative transition scenarios in a country from a multi-sectoral level, and an Energy System Model (PyPSA-Earth), to optimize the expansion of the power system with high geographical and temporal resolution. In this study, we present tailored versions of these tools to analyze Bolivia as the case study, GCAM-Bolivia and PyPSA-BO. Our method employs a unidirectional soft-linking process, using carbon budgets and projected energy demands as the connecting parameters between models. In this sense, GCAM-Bolivia is used to derive six alternative development scenarios based on emission reduction targets until 2050, while PyPSA-BO is used to optimize the electric system expansion, including generation, storage, and transmission capacities. Results show that, regardless of the scenario, solar PV is the dominant technology for capacity expansion in the future and that the growth of the electric sector appears to have a non-linear relation with the emission reduction targets for the energy sector, where only reduction targets above 40% trigger an intensive electrification process. In these cases, a significant expansion of storage and transmission capacities distributed across the country is required to provide flexibility in the system. • Two models are developed and adapted for the Bolivian case (GCAM-Bolivia and PyPSA-BO). • Soft-linking between GCAM and PyPSA models to assess decarbonization pathways. • Non-linear behavior between emissions reduction goals and electricity demand growth. • Solar energy and batteries play a crucial role, particularly in high decarbonization scenarios.