A model for optimal energy management in a microgrid using biogas

被引:4
作者
Santos, Maria Izabel [1 ]
Maravilha, Andre [2 ]
Bessani, Michel [3 ]
Uturbey, Wadaed [3 ]
Batista, Lucas [3 ]
机构
[1] Univ Fed Minas Gerais, Grad Program Elect Engn, Ave Antonio Carlos 6627,Campus Pampulha, BR-31270901 Belo Horizonte, MG, Brazil
[2] Ctr Fed Educ Tecnol Minas Gerais, Dept Informat Management & Design, R Alvares de Azevedo 400, BR-35503822 Divinopolis, MG, Brazil
[3] Univ Fed Minas Gerais, Dept Elect Engn, Ave Antonio Carlos 6627,Campus Pampulha, BR-31270901 Belo Horizonte, MG, Brazil
关键词
Biogas; Biomethane; Microgrids; Optimal energy management; DUAL-FUEL; POWER; OPTIMIZATION; HYDROGEN; DISPATCH; SYSTEM; UNIT;
D O I
10.1007/s12065-023-00857-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A more sustainable energy matrix can be achieved through an integrated approach to energy generation and end-consumer self-production. This alternative can reduce consumer energy costs and enable the maturation and boosting of distributed generation technologies. Using reliable cost models with smart-grid technologies enables more economically efficient energy systems. Previously disregarded energy solutions can become viable solutions, such as electric energy generation using biogas. In this context, the contribution of this study is threefold. First, we develop a cost model of electrical and mechanical energy generation for local consumers in microgrid-producing biogas. Second, we integrate into the model a dual-fuel motor to generate electrical energy using a variable mixture of biogas and other fuel and the biomethane upgrading system to supply the mechanical demands. Third, based on this model, an optimal energy management tool is proposed. The performance of this tool is analyzed through scenario simulations of an existing microgrid composed of a motor engine fueled by biogas produced internally, a photovoltaic (PV) system, a battery bank, and connected to the utility. The results indicate the economic advantages of adopting the tool and the usefulness of the proposed model. Besides the reduced electricity cost, it also allows analysis of how each piece of equipment contributes to the electricity cost, which can be helpful in future decisions about equipment sizing.
引用
收藏
页码:1677 / 1695
页数:19
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