Environmental Comfort Criteria: Weighting and Integration

Reffat, Rabee M.; Harkness, Edward L.

doi:10.1061/(asce)0887-3828(2001)15:3(104)

Cited by 31 publications

(18 citation statements)

References 3 publications

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“…A summary of the survey findings are presented [15,19] Average efficacy of all lamps [19,38] User comfort Daylight factors [15,19,25,38], Ventilation for excessive heat, cleanliness [19] Average colour temperature, colour rendering, glare [19,38] Acoustic comfort [19,26] Ease of control [15,19,25,26] Work efficiency Further upgrade [25,26] Service life [29] Compatibility (i.e. with other building systems), automatic and remote control/monitoring [25] Connection to BAS [19,23,25] Permanent artificial lighting average power density, preventive maintenance scheme, uniformity of lux level [19] Technological issues Use of high-tech design, use of advanced artificial intelligence (AI) [19] Cost effectiveness Initial costs, operating and maintenance costs [2,19,31] Energy management system Work efficiency Further upgrade, reliability (Frequency of breakdown) [26] Service life [29] Connection to BAS, compatibility (i.e.…”

Section: Findings and Discussionmentioning

confidence: 99%

“…Building facade system Environmental issues Noise pollution, sunlight pollution (by curtain wall), pollution free product [19] Allow for natural ventilation [4,19] User comfort Response to change in temperature, response to change in sunlight [2,41] Work efficiency Further upgrade [26] Service life [29] Compatibility, connection to BAS [19,41] Automatic and remote control/monitoring [41] Technological issues Use of high-tech design, use of advanced artificial intelligence (AI) [41] Cost effectiveness Initial costs, operating and maintenance costs [2,19,31] Building interior layout system Environmental Issues Pollution-free product, [19] noise pollution (reverberation time/indoor ambient noise level) [19,38] User comfort Spatial flexibility [26] Work efficiency Further upgrade [26] Service life [29] Compatibility, connection to BAS [19] Technological issues Use of high-tech design [19] Cost effectiveness Initial costs, operating and maintenance costs [2,19,31] as follows. The detailed findings of this survey are reported in Wong and Li [12].…”

Section: Selection Attributes Referencesmentioning

confidence: 99%

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Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Wong

2008

Building and Environment

363

184

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Selection Attributes Referencesmentioning

confidence: 99%

Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Wong

2008

Building and Environment

363

184

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“…In buildings the primary purpose of energy use is to maintain required indoor environmental quality (IEQ). In EE studies IEQ includes four indicators: thermal comfort, visual comfort, acoustic comfort and good air quality [13,14]. In other words an energy efficient building is one that provides the same level of comfort conditions (thermal, lighting, acoustic, and air quality) using less energy.…”

Section: Comfort In Literaturementioning

confidence: 99%

Comfort in the Indoor Environment: A Theoretical Framework Linking Energy Efficiency and Universal Design

Kapedani

Herssens

Verbeeck

2017

Advances in Intelligent Systems and Computing

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Energy Efficiency (EE) and Universal Design (UD) are two topics high on governmental policy and research agendas which have been considered separately both in research and practice. This research hypothesizes that comfort can be a conceptual link that can represent both EE and UD features. In order to understand the broader meaning of comfort at home from the perspective of inhabitants in the context of home renovations, and to test our hypothesis, we conducted 3 qualitative studies with different user groups. The results confirm that users associate with comfort all aspects related to EE as well as with most aspects in UD. In addition, results indicate that EE can be an integral part of UD if both are considered from a comfort point of view. These are presented in a theoretical framework for comfort that can be used to further study a potential integration of the EE and UD fields.

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“…IAP can be defined as the disturbance of any gases, materials or human activities on the state of ambient air in indoor environment [2]. In other words, IAP does not need the presence of disease or infirmity.…”

Section: Introductionmentioning

confidence: 99%

Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems

et al. 2017

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Indoor air may be polluted by various types of pollutants which may come from cleaning products, construction activities, perfumes, cigarette smoke, water-damaged building materials and outdoor pollutants. Although these gases are usually safe for humans, they could be hazardous if their amount exceeded certain limits of exposure for human health. A sophisticated indoor air quality (IAQ) monitoring system which could classify the specific type of pollutants is very helpful. This study proposes an enhanced indoor air quality monitoring system (IAQMS) which could recognize the pollutants by utilizing supervised machine learning algorithms: multilayer perceptron (MLP), K-nearest neighbour (KNN) and linear discrimination analysis (LDA). Five sources of indoor air pollutants have been tested: ambient air, combustion activity, presence of chemicals, presence of fragrances and presence of food and beverages. The results showed that the three algorithms successfully classify the five sources of indoor air pollution (IAP) with a classification rate of up to 100 percent. An MLP classifier with a model structure of 9-3-5 has been chosen to be embedded into the IAQMS. The system has also been tested with all sources of IAP presented together. The result shows that the system is able to classify when single and two mixed sources are presented together. However, when more than two sources of IAP are presented at the same period, the system will classify the sources as 'unknown', because the system cannot recognize the input of the new pattern.

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Environmental Comfort Criteria: Weighting and Integration

Cited by 31 publications

References 3 publications

Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

Comfort in the Indoor Environment: A Theoretical Framework Linking Energy Efficiency and Universal Design

Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems

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