HYDRO/SOLAR COMPLEMENTARITY IN THE UPPER SÃO FRANCISCO BASIN: AN ALTERNATIVE FOR WATER RESOURCES MANAGEMENT

Jorge Daniel Páez Mendieta; Ieda Geriberto Hidalgo

doi:10.15628/holos.2023.16842

Auteurs

Jorge Daniel Páez Mendieta Universidade Estadual de Campinas https://orcid.org/0000-0002-9343-8874
Ieda Geriberto Hidalgo Universidade Estadual de Campinas https://orcid.org/0000-0001-6347-7189

DOI :

https://doi.org/10.15628/holos.2023.16842

Mots-clés :

Modeling and Simulation,

Résumé

This paper aims to evaluate the benefit of the combined operation of a hydro/solar system at USFB, specifically at the Três Marias Hydroelectric Plant (HPP), to raise the level of its reservoir. For this purpose, the hydrological/hydroelectric modeling of USFB and Três Marias HPP is carried out on the RS MINERVE hydrological/hydroelectric simulation platform. USFB hydrological modeling is done using three hydrologically homogeneous regions and the hydrological conceptual model HBV. The hydroelectric modeling was adjusted to the physical characteristics of the Três Marias HPP. The calibration and validation process uses eight performance indicators. The chosen scenarios evaluate an increase of 7% in evapotranspiration and a decrease of 10% and 20% in precipitation, respectively. Water storage and energy generated at the Três Marias HPP are the output variables of the simulation process. From the results obtained in the simulation, the projected Photovoltaic Plant (PVP) is dimensioned. The results show that with the complementarity of the projected PVP it is possible to increase the volume of the reservoir for the proposed study scenarios. Therefore, hydro/solar complementarity at USFB can be an alternative for the management of water resources.

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Bibliographies de l'auteur

Jorge Daniel Páez Mendieta, Universidade Estadual de Campinas

He has a degree in Electromechanical Engineering from the Faculty of Engineering (National University of Asunción, UNA, Paraguay), Specialization in University Didactics (UNA), and a Master's degree in Energy Systems Planning (Universidade Estadual de Campinas, UNICAMP, Brazil). He has experience in academic research in the area of renewable energy (Hydro/Solar) and River Basin Modeling. He is currently completing his PhD in Energy Systems Planning at the UNICAMP.

Ieda Geriberto Hidalgo, Universidade Estadual de Campinas

She is Associate Professor II (MS-5.2) at the Faculty of Technology at UNICAMP, PhD in Electrical Engineering (UNICAMP - 2009), Master in Electrical Engineering (UNICAMP - 2004), specialist in Mathematics (CEUNSP - 2000) and graduated in Data Processing (UNESP - 1996). She completed a postdoctoral degree in Civil Engineering at Colorado State University (CSU - 2011), at the University of California at Los Angeles (UCLA - 2013) and at the Universitat Politècnica de València (UPV - 2017). She was a visiting researcher at CSU during her sandwich doctorate (2009), at the Institut Français du Pètrole et des Énergies Nouvelles (IFP - 2014) and at the Università di Roma, La Sapienza (UniRoma - 2018). In 2017, she received recognition from ELSEVIER (Energy) for the "Outstanding Contribution of Reviewing". From 2017 to 2020, she was a CNPq research productivity fellow. From 2004 to 2006 and from 2019 to 2021, she was coordinator of undergraduate courses in the area of Computing at CEUNSP and UNICAMP. In 2021, he received the ProEC University Extension award from UNICAMP. She is part of the faculty of full professors in the postgraduate program in Energy Systems Planning (FEM/UNICAMP) and in Technology (FT/UNICAMP). She is a member of the Hydroinformatics committee of the International Association for Hydro-Environment Engineering and Research (IAHR). She has been teaching for 28 years and has 20 years of experience in research with energy generation systems, working on PD projects with the following companies in the electricity sector: ONS, ANEEL, CESP, CPFL, Duke Energy, and AES Tietê. Areas of interest: energy generation systems (renewable sources), availability of energy systems, system optimization/forecast/simulation models, economic and financial viability of investments, and water resources management.

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