Energies, Vol. 19, Pages 547: Optimizing the Trade-Off Among Comfort, Electricity Use, and Economic Benefits in Smart Buildings Within Renewable Electricity Communities

Energies, Vol. 19, Pages 547: Optimizing the Trade-Off Among Comfort, Electricity Use, and Economic Benefits in Smart Buildings Within Renewable Electricity Communities

Energies doi: 10.3390/en19020547

Authors:
Federico Mattana
Roberto Ricciu
Gianmarco Sitzia
Emilio Ghiani

The integration of smart electricity management models in buildings is a key strategy for improving living comfort and optimizing energy efficiency. The incentive mechanisms introduced by the Italian regulatory framework for widespread self-consumption and energy communities encourage the deployment of smart management systems within Collective Self-Consumption Groups (CSGs) and Renewable Energy Communities (RECs). These mechanisms drive the search for solutions that combine occupant well-being with economic benefits, thereby fostering citizen participation in aggregation models that play a key role in the transition towards a progressively decarbonized electricity system. In this context, an optimization model for the management of residential heat pumps is proposed, aimed at identifying the best compromise between thermal comfort, electricity consumption, and economic benefits. The approach developed in the research encourages citizens to take an active role without the need for burdensome commitments and/or significant changes in their daily habits, in line with the importance that users themselves attribute to these aspects. To demonstrate the potential of the proposed approach, a case study was developed on a residential building located in Sardinia (Italy). The implementation of an optimization model aimed at simultaneously maximizing economic benefits and indoor thermal comfort is simulated. The model’s economic and energy performance is assessed and compared with the results obtained using different advanced heat pump control and management strategies.

More From Author

Energies, Vol. 19, Pages 548: The Main Control Factors and Productivity Evaluation Method of Stimulated Well Production Based on an Interpretable Machine Learning Model

Energies, Vol. 19, Pages 544: Implementation of the Just-in-Time Philosophy in Coal Production Processes as an Approach to Supporting Energy Transition and Reducing Carbon Emissions

Leave a Reply

Your email address will not be published. Required fields are marked *