Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation
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 Informatio...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-01-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/1/233 |
| _version_ | 1818038606651981824 |
|---|---|
| author | Michel Noussan Benedetto Nastasi |
| author_facet | Michel Noussan Benedetto Nastasi |
| author_sort | Michel Noussan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T07:45:25Z |
| format | Article |
| id | doaj.art-0c16407590ab47e1b995c3da0b057f3d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-12-10T07:45:25Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0c16407590ab47e1b995c3da0b057f3d2022-12-22T01:57:12ZengMDPI AGEnergies1996-10732018-01-0111123310.3390/en11010233en11010233Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems SimulationMichel Noussan0Benedetto Nastasi1Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Architectural Engineering & Technology, Environmental & Computational Design Section, TU Delft University of Technology, Julianalaan 134, 2628BL Delft, The NetherlandsHeating 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.http://www.mdpi.com/1996-1073/11/1/233open energy datathermal systemsconventional and condensing boilersnatural gasurban energy planningbuilding energy efficiencyspace heating |
| spellingShingle | Michel Noussan Benedetto Nastasi Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation Energies open energy data thermal systems conventional and condensing boilers natural gas urban energy planning building energy efficiency space heating |
| title | Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation |
| title_full | Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation |
| title_fullStr | Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation |
| title_full_unstemmed | Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation |
| title_short | Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation |
| title_sort | data analysis of heating systems for buildings a tool for energy planning policies and systems simulation |
| topic | open energy data thermal systems conventional and condensing boilers natural gas urban energy planning building energy efficiency space heating |
| url | http://www.mdpi.com/1996-1073/11/1/233 |
| work_keys_str_mv | AT michelnoussan dataanalysisofheatingsystemsforbuildingsatoolforenergyplanningpoliciesandsystemssimulation AT benedettonastasi dataanalysisofheatingsystemsforbuildingsatoolforenergyplanningpoliciesandsystemssimulation |