Work

Optimizing microgrid design and operation: A decision-making framework for residential distributed energy systems in Brazil

Year: 2024

Type: article

Abstract: This paper explores the optimization of microgrid design and operation for residential distributed energy systems in Brazil, addressing the growing demand for sustainable energy in the context of climate change. A decision-making framework based on Mixed-Integer Nonlinear Programming (MINLP) is proposed to integrate distributed energy resources (DERs) such as solar, wind, and biogas. Key challenges include managing the variability of renewable resources and complying with local regulations, while also addressing gaps in literature, particularly the impact of time-dependent efficiency profiles on energy sharing within microgrids. By employing innovative analyses and clustering techniques, the research optimizes microgrid configurations, accounting for seasonal demand fluctuations and the influence of incentive policies on system feasibility. The findings reveal that incorporating a time-dependent efficiency model can reduce total costs by 45 %. This reduction underscores the importance of accurate efficiency predictions, as the model captures variations in energy generation and utilization efficiency over time, improving system optimization. Additionally, the findings reveal that a well-structured optimization model can meet 100 % of electricity and hot water demands across all scenarios, with customized incentives playing a crucial role in reducing costs and promoting sustainability. • MINLP framework to optimize microgrid design that addresses diverse energy needs. • Incorporates underutilized biogas resources for sustainable energy solutions. • Integrates COVID-19 scenarios affecting energy consumption patterns. • Proposed framework optimizes microgrid design for Brazilian homes. • Time-dependent efficiency model can reduce total costs by 45%.

Source: Process Safety and Environmental Protection

DOI: 10.1016/j.cherd.2024.12.033

Authors: Ana Paula Alves Amorim, Karen Valverde Pontes, Bogdan Dorneanu, Harvey Arellano-Garcia

Institutions: Universidade Federal da Bahia, Brandenburg University of Technology Cottbus-Senftenberg

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $3,500