Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics
With the increasing demand for sustainable urban development, smart cities have emerged as a promising solution for optimizing energy usage, reducing emissions, and enhancing the quality of life for citizens. In this context, the combined use of key performance indicators (KPIs) and data analytics h...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/20/7195 |
| _version_ | 1827721053290364928 |
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| author | Angel A. Juan Majsa Ammouriova Veronika Tsertsvadze Celia Osorio Noelia Fuster Yusef Ahsini |
| author_facet | Angel A. Juan Majsa Ammouriova Veronika Tsertsvadze Celia Osorio Noelia Fuster Yusef Ahsini |
| author_sort | Angel A. Juan |
| collection | DOAJ |
| description | With the increasing demand for sustainable urban development, smart cities have emerged as a promising solution for optimizing energy usage, reducing emissions, and enhancing the quality of life for citizens. In this context, the combined use of key performance indicators (KPIs) and data analytics has gained significant attention as a powerful tool for promoting energy efficiency and emissions reduction in urban areas. This paper presents a comprehensive conceptual framework in which a series of KPIs are proposed to serve as essential metrics for guiding, monitoring, and assessing energy efficiency and emissions reduction levels in smart cities. Some of the included KPIs in the analysis are 'annual energy consumption per person', 'reduction in greenhouse gas emissions', 'public transport use', and 'adoption of renewable energy'. By incorporating these KPIs, city planners and policymakers can gain valuable insights into the effectiveness of sustainability initiatives. Furthermore, the paper explores how the integration of KPIs with data analytics can be used for monitoring and assessing the overall performance of the city in terms of energy efficiency, emissions reduction, and the enhancement of urban living conditions. Visualization tools, such as radar plots, and time series analysis forecasting methods allow data to be processed and patterns to be identified, enabling informed decision-making and efficient resource allocation. Real-life case studies of ongoing smart city projects are presented in the paper, which also provides a KPI comparison among different European cities, as well as models to forecast the evolution of KPIs related to energy usage and emissions reduction in different European cities. |
| first_indexed | 2024-03-10T21:16:32Z |
| format | Article |
| id | doaj.art-479318e36c314e19bb95b57742207dba |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:16:32Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-479318e36c314e19bb95b57742207dba2023-11-19T16:23:30ZengMDPI AGEnergies1996-10732023-10-011620719510.3390/en16207195Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data AnalyticsAngel A. Juan0Majsa Ammouriova1Veronika Tsertsvadze2Celia Osorio3Noelia Fuster4Yusef Ahsini5Research Center on Production Management and Engineering, Universitat Politècnica de València, 03801 Alcoy, SpainComputer Science Department, Universitat Oberta de Catalunya, 08018 Barcelona, SpainResearch Center on Production Management and Engineering, Universitat Politècnica de València, 03801 Alcoy, SpainResearch Center on Production Management and Engineering, Universitat Politècnica de València, 03801 Alcoy, SpainResearch Center on Production Management and Engineering, Universitat Politècnica de València, 03801 Alcoy, SpainResearch Center on Production Management and Engineering, Universitat Politècnica de València, 03801 Alcoy, SpainWith the increasing demand for sustainable urban development, smart cities have emerged as a promising solution for optimizing energy usage, reducing emissions, and enhancing the quality of life for citizens. In this context, the combined use of key performance indicators (KPIs) and data analytics has gained significant attention as a powerful tool for promoting energy efficiency and emissions reduction in urban areas. This paper presents a comprehensive conceptual framework in which a series of KPIs are proposed to serve as essential metrics for guiding, monitoring, and assessing energy efficiency and emissions reduction levels in smart cities. Some of the included KPIs in the analysis are 'annual energy consumption per person', 'reduction in greenhouse gas emissions', 'public transport use', and 'adoption of renewable energy'. By incorporating these KPIs, city planners and policymakers can gain valuable insights into the effectiveness of sustainability initiatives. Furthermore, the paper explores how the integration of KPIs with data analytics can be used for monitoring and assessing the overall performance of the city in terms of energy efficiency, emissions reduction, and the enhancement of urban living conditions. Visualization tools, such as radar plots, and time series analysis forecasting methods allow data to be processed and patterns to be identified, enabling informed decision-making and efficient resource allocation. Real-life case studies of ongoing smart city projects are presented in the paper, which also provides a KPI comparison among different European cities, as well as models to forecast the evolution of KPIs related to energy usage and emissions reduction in different European cities.https://www.mdpi.com/1996-1073/16/20/7195urban areasenergy efficiencyemissions reductionkey performance indicatorsdata analytics |
| spellingShingle | Angel A. Juan Majsa Ammouriova Veronika Tsertsvadze Celia Osorio Noelia Fuster Yusef Ahsini Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics Energies urban areas energy efficiency emissions reduction key performance indicators data analytics |
| title | Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics |
| title_full | Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics |
| title_fullStr | Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics |
| title_full_unstemmed | Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics |
| title_short | Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics |
| title_sort | promoting energy efficiency and emissions reduction in urban areas with key performance indicators and data analytics |
| topic | urban areas energy efficiency emissions reduction key performance indicators data analytics |
| url | https://www.mdpi.com/1996-1073/16/20/7195 |
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