This paper proposes an optimal residential energy hub (REH) design framework where the desired tradeoff between maximizing the satisfaction level of residential user energy usage and minimizing the overall costs is obtained by establishing a customer desire function (CDF). Considering the major household appliances, the REH demands are categorized into several groups, and CDFs are formulated and applied to each group of loads. The developed mathematical model results in a mixed-integer linear programming optimization problem. Simulations were carried out on a residential building as a case study. Numerical results confirmed the presented framework effectiveness in improving the end-user convenience level and enhancing the investment benefits. They also demonstrated the significance of various energy networks and the optimal configuration of REH components on the financial and technical of the REH.

Optimal Planning of Residential Energy Hubs Considering Customer Desire Function

Siano P.
2022-01-01

Abstract

This paper proposes an optimal residential energy hub (REH) design framework where the desired tradeoff between maximizing the satisfaction level of residential user energy usage and minimizing the overall costs is obtained by establishing a customer desire function (CDF). Considering the major household appliances, the REH demands are categorized into several groups, and CDFs are formulated and applied to each group of loads. The developed mathematical model results in a mixed-integer linear programming optimization problem. Simulations were carried out on a residential building as a case study. Numerical results confirmed the presented framework effectiveness in improving the end-user convenience level and enhancing the investment benefits. They also demonstrated the significance of various energy networks and the optimal configuration of REH components on the financial and technical of the REH.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4812332
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