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Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation

Author

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  • Michel Noussan

    (Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Benedetto Nastasi

    (Department of Architectural Engineering & Technology, Environmental & Computational Design Section, TU Delft University of Technology, Julianalaan 134, 2628BL Delft, The Netherlands)

Abstract

Heating and cooling in buildings is a central aspect for adopting energy efficiency measures and implementing local policies for energy planning. The knowledge of features and performance of those existing systems is fundamental to conceiving realistic energy savings strategies. Thanks to Information and Communication Technologies (ICT) development and energy regulations’ progress, the amount of data able to be collected and processed allows detailed analyses on entire regions or even countries. However, big data need to be handled through proper analyses, to identify and highlight the main trends by selecting the most significant information. To do so, careful attention must be paid to data collection and preprocessing, for ensuring the coherence of the associated analyses and the accuracy of results and discussion. This work presents an insightful analysis on building heating systems of the most populated Italian region—Lombardy. From a dataset of almost 2.9 million of heating systems, selected reference values are presented, aiming at describing the features of current heating systems in households, offices and public buildings. Several aspects are considered, including the type of heating systems, their thermal power, fuels, age, nominal and measured efficiency. The results of this work can be a support for local energy planners and policy makers, and for a more accurate simulation of existing energy systems in buildings.

Suggested Citation

  • Michel Noussan & Benedetto Nastasi, 2018. "Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation," Energies, MDPI, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:233-:d:127630
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    References listed on IDEAS

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    1. Lo Basso, Gianluigi & de Santoli, Livio & Paiolo, Romano & Losi, Claudio, 2021. "The potential role of trans-critical CO2 heat pumps within a solar cooling system for building services: The hybridised system energy analysis by a dynamic simulation model," Renewable Energy, Elsevier, vol. 164(C), pages 472-490.
    2. Benedetta Grassi & Edoardo Alessio Piana & Gian Paolo Beretta & Mariagrazia Pilotelli, 2020. "Dynamic Approach to Evaluate the Effect of Reducing District Heating Temperature on Indoor Thermal Comfort," Energies, MDPI, vol. 14(1), pages 1-25, December.
    3. Andreas Müller & Marcus Hummel & Lukas Kranzl & Mostafa Fallahnejad & Richard Büchele, 2019. "Open Source Data for Gross Floor Area and Heat Demand Density on the Hectare Level for EU 28," Energies, MDPI, vol. 12(24), pages 1-25, December.
    4. Michel Noussan & Roberta Roberto & Benedetto Nastasi, 2018. "Performance Indicators of Electricity Generation at Country Level—The Case of Italy," Energies, MDPI, vol. 11(3), pages 1-14, March.
    5. Xin Tan & Penglin Zhang & Junqiang Wang & Jiewen Hong, 2019. "Research on Urban Bearing Capacity of Gas Supply Stations," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
    6. Simon Pezzutto & Silvia Croce & Stefano Zambotti & Lukas Kranzl & Antonio Novelli & Pietro Zambelli, 2019. "Assessment of the Space Heating and Domestic Hot Water Market in Europe—Open Data and Results," Energies, MDPI, vol. 12(9), pages 1-16, May.
    7. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    8. Livio de Santoli & Gianluigi Lo Basso & Davide Astiaso Garcia & Giuseppe Piras & Giulia Spiridigliozzi, 2019. "Dynamic Simulation Model of Trans-Critical Carbon Dioxide Heat Pump Application for Boosting Low Temperature Distribution Networks in Dwellings," Energies, MDPI, vol. 12(3), pages 1-20, February.
    9. Umberto Berardi & Lamberto Tronchin & Massimiliano Manfren & Benedetto Nastasi, 2018. "On the Effects of Variation of Thermal Conductivity in Buildings in the Italian Construction Sector," Energies, MDPI, vol. 11(4), pages 1-17, April.
    10. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.
    11. Beatrice Castellani & Elena Morini & Benedetto Nastasi & Andrea Nicolini & Federico Rossi, 2018. "Small-Scale Compressed Air Energy Storage Application for Renewable Energy Integration in a Listed Building," Energies, MDPI, vol. 11(7), pages 1-15, July.
    12. Matteo Giacomo Prina & Giampaolo Manzolini & David Moser & Roberto Vaccaro & Wolfram Sparber, 2020. "Multi-Objective Optimization Model EPLANopt for Energy Transition Analysis and Comparison with Climate-Change Scenarios," Energies, MDPI, vol. 13(12), pages 1-22, June.
    13. Francesco Mancini & Gianluigi Lo Basso & Livio De Santoli, 2019. "Energy Use in Residential Buildings: Characterisation for Identifying Flexible Loads by Means of a Questionnaire Survey," Energies, MDPI, vol. 12(11), pages 1-19, May.
    14. Giulio Vialetto & Marco Noro, 2019. "Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator," Energies, MDPI, vol. 12(23), pages 1-16, November.
    15. Sukjoon Oh & Chul Kim & Joonghyeok Heo & Sung Lok Do & Kee Han Kim, 2020. "Heating Performance Analysis for Short-Term Energy Monitoring and Prediction Using Multi-Family Residential Energy Consumption Data," Energies, MDPI, vol. 13(12), pages 1-24, June.

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