Computer Modeling for High-RES Systems: Exploring the Applicability of EnergyPLAN

The global energy landscape is evolving, with distributed generation (DG) playing a key role. This study assesses the applicability of EnergyPLAN, a simulation tool, for a high renewable energy source (RES) system, focusing on Brazil. By comparing EnergyPLAN outputs with data from the Brazilian National System Operator (ONS), the research evaluates its accuracy. Findings show high accuracy in annual and monthly simulations for photovoltaic and hydroelectric plants but higher errors in daily simulations for variable RES like wind and solar. The study highlights the need for better modelling of variable RES and offers insights into EnergyPLAN's effectiveness for energy planning, contributing to more reliable energy systems.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/iceccme62383.2024.10796235
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.35
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article

Computer Modeling for High-RES Systems: Exploring the Applicability of EnergyPLAN

Géremi Gilson Dranka, Ângela P. Ferreira, Gabriel Fonseca Oliveira Roma
1 citations
Distributed and Parallel Computing Systems
0.35
article

Computer Modeling for High-RES Systems: Exploring the Applicability of EnergyPLAN

Géremi Gilson Dranka, Ângela P. Ferreira, Gabriel Fonseca Oliveira Roma
article en
1 citations

Abstract

The global energy landscape is evolving, with distributed generation (DG) playing a key role. This study assesses the applicability of EnergyPLAN, a simulation tool, for a high renewable energy source (RES) system, focusing on Brazil. By comparing EnergyPLAN outputs with data from the Brazilian National System Operator (ONS), the research evaluates its accuracy. Findings show high accuracy in annual and monthly simulations for photovoltaic and hydroelectric plants but higher errors in daily simulations for variable RES like wind and solar. The study highlights the need for better modelling of variable RES and offers insights into EnergyPLAN's effectiveness for energy planning, contributing to more reliable energy systems.

Universidade Tecnológica Federal do Paraná (BR), Universidade Politécnica de Bragança (PT)
Affordable and clean energy
Openalex Percentile: Top 35%
Distributed and Parallel Computing Systems
0.35
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Computer Modeling for High-RES Systems: Exploring the Applicability of EnergyPLAN — Géremi Gilson Dranka, Ângela P. Ferreira, et al. · (2024) | TGRS Research Map | TGRS