Energy Efficiency and Indoor Environment Quality
This Special Issue addresses a topic of great relevance. In developed countries, there is a higher prevalence of people choosing to spend time indoors. Data show that the time a person spends at home ranges from 60% to 90% of the day, and 30% of that time is spent sleeping, though this varies depend...
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Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (194 p.) |
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100 | 1 | |a González Lezcano, Roberto Alonso |4 edt | |
245 | 1 | 0 | |a Energy Efficiency and Indoor Environment Quality |
260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
300 | |a 1 electronic resource (194 p.) | ||
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520 | |a This Special Issue addresses a topic of great relevance. In developed countries, there is a higher prevalence of people choosing to spend time indoors. Data show that the time a person spends at home ranges from 60% to 90% of the day, and 30% of that time is spent sleeping, though this varies depending on the individual. Taking into account these data, indoor residential environments have a direct influence on human health. Furthermore, in developing countries, significant levels of indoor pollution make housing unsafe, impacting the health of its inhabitants. Housing is therefore a key health factor for people all over the world: various parameters such as air quality, ventilation, hygrothermal comfort, lighting, physical environment, and building efficiency can contribute to healthy architecture; poor application of these parameters can result in conditions that negatively impact health. | ||
546 | |a English | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a gappy proper orthogonal decomposition | ||
653 | |a sparse sensor observations | ||
653 | |a contaminant distribution | ||
653 | |a reconstruction | ||
653 | |a CFD | ||
653 | |a energy efficiency | ||
653 | |a data envelopment analysis | ||
653 | |a literature review | ||
653 | |a future research | ||
653 | |a weather data | ||
653 | |a calibration | ||
653 | |a sensors | ||
653 | |a energy simulation | ||
653 | |a sensors saving | ||
653 | |a methodology | ||
653 | |a Building Energy Models (BEMs) | ||
653 | |a water flow glazing | ||
653 | |a dynamic building envelope | ||
653 | |a life cycle assessment | ||
653 | |a building integrated PV panels | ||
653 | |a levelized cost of energy | ||
653 | |a daylighting | ||
653 | |a circadian lighting | ||
653 | |a indoor lighting | ||
653 | |a dopamine | ||
653 | |a myopia | ||
653 | |a self-renovation | ||
653 | |a habits and comfort | ||
653 | |a sustainable building material | ||
653 | |a cultural heritage buildings | ||
653 | |a ventilation | ||
653 | |a CFD analysis | ||
653 | |a archaeology | ||
653 | |a architecture | ||
653 | |a native American Indians | ||
653 | |a traditional architecture | ||
653 | |a vernacular architecture | ||
653 | |a indoor air quality | ||
653 | |a COVID-19 | ||
653 | |a educational buildings | ||
653 | |a air purifier | ||
653 | |a airborne transmission | ||
653 | |a particulate matter | ||
653 | |a dust pollution | ||
653 | |a IAQ | ||
653 | |a indoor–outdoor concentration ratio | ||
653 | |a penetration factor | ||
653 | |a air quality control | ||
776 | |z 3-0365-2506-8 | ||
776 | |z 3-0365-2507-6 | ||
700 | 1 | |a González Lezcano, Roberto Alonso |4 oth | |
906 | |a BOOK | ||
ADM | |b 2023-03-03 03:20:35 Europe/Vienna |f system |c marc21 |a 2022-04-04 09:22:53 Europe/Vienna |g false | ||
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