Optimized Energy and Air Quality Management of Shared Smart Buildings in the COVID-19 Scenario
Worldwide increasing awareness of energy sustainability issues has been the main driver in developing the concepts of (Nearly) Zero Energy Buildings, where the reduced energy consumptions are (nearly) fully covered by power locally generated by renewable sources. At the same time, recent advances in...
Ausführliche Beschreibung
Autor*in: |
Giuseppe Anastasi [verfasserIn] Carlo Bartoli [verfasserIn] Paolo Conti [verfasserIn] Emanuele Crisostomi [verfasserIn] Alessandro Franco [verfasserIn] Sergio Saponara [verfasserIn] Daniele Testi [verfasserIn] Dimitri Thomopulos [verfasserIn] Carlo Vallati [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Energies - MDPI AG, 2008, 14(2021), 8, p 2124 |
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Übergeordnetes Werk: |
volume:14 ; year:2021 ; number:8, p 2124 |
Links: |
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DOI / URN: |
10.3390/en14082124 |
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Katalog-ID: |
DOAJ030329124 |
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10.3390/en14082124 doi (DE-627)DOAJ030329124 (DE-599)DOAJ005d3dcb673e462d8a55df72964b37c9 DE-627 ger DE-627 rakwb eng Giuseppe Anastasi verfasserin aut Optimized Energy and Air Quality Management of Shared Smart Buildings in the COVID-19 Scenario 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Worldwide increasing awareness of energy sustainability issues has been the main driver in developing the concepts of (Nearly) Zero Energy Buildings, where the reduced energy consumptions are (nearly) fully covered by power locally generated by renewable sources. At the same time, recent advances in Internet of Things technologies are among the main enablers of Smart Homes and Buildings. The transition of conventional buildings into active environments that process, elaborate and react to online measured environmental quantities is being accelerated by the aspects related to COVID-19, most notably in terms of air exchange and the monitoring of the density of occupants. In this paper, we address the problem of maximizing the energy efficiency and comfort perceived by occupants, defined in terms of thermal comfort, visual comfort and air quality. The case study of the University of Pisa is considered as a practical example to show preliminary results of the aggregation of environmental data. building dynamics occupants’ comfort energy efficiency information and communication technologies COVID-19 scenario human interaction Technology T Carlo Bartoli verfasserin aut Paolo Conti verfasserin aut Emanuele Crisostomi verfasserin aut Alessandro Franco verfasserin aut Sergio Saponara verfasserin aut Daniele Testi verfasserin aut Dimitri Thomopulos verfasserin aut Carlo Vallati verfasserin aut In Energies MDPI AG, 2008 14(2021), 8, p 2124 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:14 year:2021 number:8, p 2124 https://doi.org/10.3390/en14082124 kostenfrei https://doaj.org/article/005d3dcb673e462d8a55df72964b37c9 kostenfrei https://www.mdpi.com/1996-1073/14/8/2124 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2021 8, p 2124 |
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Optimized Energy and Air Quality Management of Shared Smart Buildings in the COVID-19 Scenario |
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Worldwide increasing awareness of energy sustainability issues has been the main driver in developing the concepts of (Nearly) Zero Energy Buildings, where the reduced energy consumptions are (nearly) fully covered by power locally generated by renewable sources. At the same time, recent advances in Internet of Things technologies are among the main enablers of Smart Homes and Buildings. The transition of conventional buildings into active environments that process, elaborate and react to online measured environmental quantities is being accelerated by the aspects related to COVID-19, most notably in terms of air exchange and the monitoring of the density of occupants. In this paper, we address the problem of maximizing the energy efficiency and comfort perceived by occupants, defined in terms of thermal comfort, visual comfort and air quality. The case study of the University of Pisa is considered as a practical example to show preliminary results of the aggregation of environmental data. |
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Worldwide increasing awareness of energy sustainability issues has been the main driver in developing the concepts of (Nearly) Zero Energy Buildings, where the reduced energy consumptions are (nearly) fully covered by power locally generated by renewable sources. At the same time, recent advances in Internet of Things technologies are among the main enablers of Smart Homes and Buildings. The transition of conventional buildings into active environments that process, elaborate and react to online measured environmental quantities is being accelerated by the aspects related to COVID-19, most notably in terms of air exchange and the monitoring of the density of occupants. In this paper, we address the problem of maximizing the energy efficiency and comfort perceived by occupants, defined in terms of thermal comfort, visual comfort and air quality. The case study of the University of Pisa is considered as a practical example to show preliminary results of the aggregation of environmental data. |
abstract_unstemmed |
Worldwide increasing awareness of energy sustainability issues has been the main driver in developing the concepts of (Nearly) Zero Energy Buildings, where the reduced energy consumptions are (nearly) fully covered by power locally generated by renewable sources. At the same time, recent advances in Internet of Things technologies are among the main enablers of Smart Homes and Buildings. The transition of conventional buildings into active environments that process, elaborate and react to online measured environmental quantities is being accelerated by the aspects related to COVID-19, most notably in terms of air exchange and the monitoring of the density of occupants. In this paper, we address the problem of maximizing the energy efficiency and comfort perceived by occupants, defined in terms of thermal comfort, visual comfort and air quality. The case study of the University of Pisa is considered as a practical example to show preliminary results of the aggregation of environmental data. |
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