Techno-Economic Assessment of a Hybrid Renewable Energy System for a County in the State of Bahia

Author:

Borba Ana Tereza Andrade1ORCID,Simões Leonardo Jaime Machado1ORCID,de Melo Thamiles Rodrigues1ORCID,Santos Alex Álisson Bandeira123ORCID

Affiliation:

1. Management and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil

2. Instituto Nacional de Ciência e Tecnologia em Energia e Ambiente (INCT), Universidade Federal da Bahia (UFBA), Salvador 40170-110, Brazil

3. Instituto de Ciência, Inovação e Tecnologia em Energias Renováveis do Estado da Bahia, Salvador 40210-630, Brazil

Abstract

Installation of hybrid systems with storage is a way to maximize the amount of energy generated through exploring the complementarity of different sources. Understanding hybrid power plant (HPP) operation is crucial for optimizing new systems and reconfiguring existing plants, to their enhance efficiency. Alongside technical aspects, economic feasibility is also a fundamental feature. This study simulated an off-grid HPP to consider the energy consumption of Casa Nova in Bahia, Brazil. The methodology consisted of the selection of energy sources, choosing a reference location, acquisition of generation and operational data, modeling and simulating the system in different scenarios, and a financial analysis. HOMER Pro software Version 3.16.2 was used to optimize the plant configuration, and the outputs were evaluated using the perspectives of levelized cost of energy (LCOE), simple payback, and power load fulfillment. As a result, scenario 3 was the most competitive, emphasizing that the use of different energy sources increased the system generation capacity. However, the addition of battery energy system storage (BESS) resulted in a high LCOE when compared to individual sources, which demonstrated that the cost of battery integration is not yet nationally competitive. Moreover, the results highlighted the importance of research investments, energy governance, and regulation in promoting hybrid system adoption.

Publisher

MDPI AG

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