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Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility

Author

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  • Francesco Mancini

    (Department of Planning, Design and Technology of Architecture, Sapienza University of Rome, 00197 Rome, Italy)

  • Gianluigi Lo Basso

    (Department of Astronautics, Electrical Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Livio de Santoli

    (Department of Astronautics, Electrical Energy Engineering, Sapienza University of Rome, 00184 Rome, Italy)

Abstract

This work shows the results of a research activity aimed at characterizing the energy habits of Italian residential users. In detail, by the energy simulation of a buildings sample, the opportunity to implement a demand/response program (DR) has been investigated. Italian residential utilities are poorly electrified and flexible loads are low. The presence of an automation system is an essential requirement for participating in a DR program and, in addition, it can allow important reductions in energy consumption. In this work the characteristics of three control systems have been defined, based on the services incidence on energy consumptions along with a sensitivity analysis on some energy drivers. Using the procedure established by the European Standard EN 15232, the achievable energy and economic savings have been evaluated. Finally, a financial analysis of the investments has been carried out, considering also the incentives provided by the Italian regulations. The payback time is generally not very long: depending on the control system features it varies from 7 to 10 years; moreover, the automation system installation within dwellings is a relatively simple activity, which is characterized by a limited execution times and by an initial expenditure ranging in 1000 € to 4000 €, related to the three sample systems.

Suggested Citation

  • Francesco Mancini & Gianluigi Lo Basso & Livio de Santoli, 2019. "Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility," Energies, MDPI, vol. 12(15), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2896-:d:252296
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    References listed on IDEAS

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    Cited by:

    1. Marek Dudzik & Anna Romanska-Zapala & Mark Bomberg, 2020. "A Neural Network for Monitoring and Characterization of Buildings with Environmental Quality Management, Part 1: Verification under Steady State Conditions," Energies, MDPI, vol. 13(13), pages 1-24, July.
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    3. Francesco Mancini & Gianluigi Lo Basso, 2020. "How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector," Energies, MDPI, vol. 13(2), pages 1-24, January.
    4. Francesco Mancini & Sabrina Romano & Gianluigi Lo Basso & Jacopo Cimaglia & Livio de Santoli, 2020. "How the Italian Residential Sector Could Contribute to Load Flexibility in Demand Response Activities: A Methodology for Residential Clustering and Developing a Flexibility Strategy," Energies, MDPI, vol. 13(13), pages 1-25, July.
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    9. Francesco Mancini & Jacopo Cimaglia & Gianluigi Lo Basso & Sabrina Romano, 2021. "Implementation and Simulation of Real Load Shifting Scenarios Based on a Flexibility Price Market Strategy—The Italian Residential Sector as a Case Study," Energies, MDPI, vol. 14(11), pages 1-21, May.
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    12. Dana Abi Ghanem & Tracey Crosbie, 2021. "The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?," Energies, MDPI, vol. 14(19), pages 1-26, September.

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