Abstract

ABSTRACT Due to different and frequently competing goals, managing multiple energy carriers in residential buildings in a coordinated manner is one of the key obstacles to the optimal operation of smart cities. This paper offers a novel conceptual cost-based scheme for optimal energy-gas use in a smart home in the context of residential energy hubs in response to this challenge, considering a significant trade-off between cost reduction and environmental conservation. The suggested model takes into account a variety of energy conversion resources, including energy and heat storage systems, rooftop photovoltaic modules, combined heat and power units, as well as responsible electrical and thermal loads. In addition, an effective stochastic scenario-based approach is used to address the significant uncertainty related to photovoltaic production. By incorporating a weighted summation mixed objective function under various system constraints and user preferences, the suggested framework lowers domestic energy consumption and utility costs while also providing the resident with optimal task scheduling and comfort, which can ensure a high quality of life. The suggested scheme is tested on a real-world case study with energy hubs, and as anticipated, it introduces its applicability and effectiveness in the proposed residential energy hub problem’s optimal energy management. The simulation results show that it is possible to reduce energy procurement costs by up to 47.86% and emissions costs by up to 31.29% while still providing the desired level of comfort for the households.

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