2020
DOI: 10.3390/en13061507
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Optimal Management of the Energy Flows of Interconnected Residential Users

Abstract: In recent years, residential users have begun to be equipped with micro-CHP (combined heat and power) generation technologies with the aim of decreasing primary energy consumption and reducing environmental impact. In these systems, the prime mover supplies both thermal and electrical energy, and an auxiliary boiler and the national electrical grid are employed as supplementary systems. In this paper, a simulation model, which accounts for component efficiency and energy balance, was developed to replicate the… Show more

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Cited by 7 publications
(6 citation statements)
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“…Some solutions proffered include the use of real-time calculation systems that calculate the energy consumption of buildings,(13) the use of smart control systems to schedule the consumption of energy in the home, (14) and the use of micro-CHP (Combined Heat and Power) generation technologies in buildings. (15) One of the most recent advancements in energy optimization includes the use of machine learning algorithms in making predictions. In this section, we reviewed papers exploring machine learning algorithms in optimizing energy consumption.…”
Section: Related Workmentioning
confidence: 99%
“…Some solutions proffered include the use of real-time calculation systems that calculate the energy consumption of buildings,(13) the use of smart control systems to schedule the consumption of energy in the home, (14) and the use of micro-CHP (Combined Heat and Power) generation technologies in buildings. (15) One of the most recent advancements in energy optimization includes the use of machine learning algorithms in making predictions. In this section, we reviewed papers exploring machine learning algorithms in optimizing energy consumption.…”
Section: Related Workmentioning
confidence: 99%
“…With further exploration and model development, Manservigi et al (2020) developed a simulation model accounting for component efficiency and energy balance in order to reduce primary energy consumption. With the proposed model, their findings confirm that it can save primary energy consumption up to 5.1%.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…Due to the relevance of the topic, the authors developed several studies (e.g., [1][2][3][4][5][6]) and took part in research projects to promote the development of efficient smart energy systems. Among them, the current paper deals with the ENERGYNIUS project [7], (namely, ENERGY Networks Integration for Urban Systems) that was focused on the development of (i) strategies for integrating prosumers within energy districts that contribute to the regional and national energy networks, (ii) mathematical models for the real-time simulation of integrated energy networks, and (iii) methodologies for the optimized management, control and diagnosis of energy systems.…”
Section: Introductionmentioning
confidence: 99%