Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control
This paper addresses the challenge of decarbonizing residential energy consumption by developing an advanced energy management system (EMS) optimized for cost reduction and energy efficiency. By leveraging the thermal inertia of building envelopes as a form of thermal energy storage (TES), the propo...
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/2/880 |
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| author | Ricardo Felez Jesus Felez |
| author_facet | Ricardo Felez Jesus Felez |
| author_sort | Ricardo Felez |
| collection | DOAJ |
| description | This paper addresses the challenge of decarbonizing residential energy consumption by developing an advanced energy management system (EMS) optimized for cost reduction and energy efficiency. By leveraging the thermal inertia of building envelopes as a form of thermal energy storage (TES), the proposed EMS dynamically balances energy inputs from the electrical grid, photovoltaic (PV) systems, and battery storage, while regulating HVAC operations. Employing model predictive control (MPC) and integrating real-time data on energy prices, weather conditions, and consumption patterns, the system minimizes energy costs, while maintaining indoor thermal comfort. Simulations conducted for both summer and winter scenarios demonstrate significant reductions in energy costs. Laboratory and real-world testing confirm the EMS’s efficacy in enhancing energy efficiency, increasing PV self-consumption, and reducing reliance on grid energy, marking a step forward in sustainable energy solutions for residential applications. |
| format | Article |
| id | doaj-art-2f39830fcc044f77a05e675e83e7cc02 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-2f39830fcc044f77a05e675e83e7cc022025-01-24T13:21:13ZengMDPI AGApplied Sciences2076-34172025-01-0115288010.3390/app15020880Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive ControlRicardo Felez0Jesus Felez1Mechanical Engineering Department, Universidad Politécnica de Madrid, 28006 Madrid, SpainMechanical Engineering Department, Universidad Politécnica de Madrid, 28006 Madrid, SpainThis paper addresses the challenge of decarbonizing residential energy consumption by developing an advanced energy management system (EMS) optimized for cost reduction and energy efficiency. By leveraging the thermal inertia of building envelopes as a form of thermal energy storage (TES), the proposed EMS dynamically balances energy inputs from the electrical grid, photovoltaic (PV) systems, and battery storage, while regulating HVAC operations. Employing model predictive control (MPC) and integrating real-time data on energy prices, weather conditions, and consumption patterns, the system minimizes energy costs, while maintaining indoor thermal comfort. Simulations conducted for both summer and winter scenarios demonstrate significant reductions in energy costs. Laboratory and real-world testing confirm the EMS’s efficacy in enhancing energy efficiency, increasing PV self-consumption, and reducing reliance on grid energy, marking a step forward in sustainable energy solutions for residential applications.https://www.mdpi.com/2076-3417/15/2/880energy management systemthermal energy storagemodel predictive controlrenewable energy integrationresidential heating and coolingHVAC optimization |
| spellingShingle | Ricardo Felez Jesus Felez Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control Applied Sciences energy management system thermal energy storage model predictive control renewable energy integration residential heating and cooling HVAC optimization |
| title | Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control |
| title_full | Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control |
| title_fullStr | Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control |
| title_full_unstemmed | Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control |
| title_short | Advanced Energy Management for Residential Buildings Optimizing Costs and Efficiency Through Thermal Energy Storage and Predictive Control |
| title_sort | advanced energy management for residential buildings optimizing costs and efficiency through thermal energy storage and predictive control |
| topic | energy management system thermal energy storage model predictive control renewable energy integration residential heating and cooling HVAC optimization |
| url | https://www.mdpi.com/2076-3417/15/2/880 |
| work_keys_str_mv | AT ricardofelez advancedenergymanagementforresidentialbuildingsoptimizingcostsandefficiencythroughthermalenergystorageandpredictivecontrol AT jesusfelez advancedenergymanagementforresidentialbuildingsoptimizingcostsandefficiencythroughthermalenergystorageandpredictivecontrol |