Indoor air quality for sustainable building renovation: A decision-support assessment system using structural equation modelling

Ismaeel, Walaa S.E.; Mohamed, Ahmed Gouda

doi:10.1016/j.buildenv.2022.108933

Cited by 33 publications

(16 citation statements)

References 53 publications

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“…The height of the first floor of the building is 4.7 meters, the height of the second floor is 4.5 meters, the partial height of the third floor is 4.2 meters, and the total height of the roof is 14.6 meters. Building damage mainly includes hollowing and cracking of interior and exterior walls, partial weathering of building exterior bricks, partial decay of wooden doors and windows, peeling paint, partial wall seepage, loose and deformed floors, and partial cracking The structural repair and reinforcement design and construction of the building mainly adopt the reinforcement scheme of reinforced mesh cement mortar surface layer, follow the building renovation principle based on traditional reinforcement methods and mature technologies, minimize the damage to the original structure, and conduct calculation and review of the reinforced structure [19].…”

Section: Case Application and Its Results Analysismentioning

confidence: 99%

Data Analysis of Building Microrenovation Based on City Information Modeling and Smart Sensor Networks

Zhang

Sun

et al. 2022

Journal of Sensors

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Building microrenovation refers to the building renewal method implemented through partial demolition, repair, preservation, function replacement, renovation, improvement, protection, decoration, and activation under the premise of maintaining the current construction pattern basically unchanged. City information modeling (CIM) technology provides a three-dimensional space floor with all elements for refined city governance and smart city construction; the data layers of smart sensor network (SSN) technology can aggregate multisource data by docking with facility layers and can classify integrated data resources. On the basis of summarizing and analyzing the previous research results, this study expounded the research status and significance of data analysis of building microrenovation, elaborated the development background, current status, and future outlooks of CIM and SSN, introduced the methods and principles of the aggregation and segmentation of information resources and the aggregation and interconnection of multisource data, performed the feature extraction and data storage of the original buildings, conducted the scheme design and information classification of microrenovation, implemented the data extraction and model construction of building microrenovation based on CIM and SSN, performed the data analysis of building appearance improvement, conducted the data analysis of building function replacement, implemented the database establishment and data analysis of building microrenovation based on CIM and SSN, and finally carried out a case application and its result analysis by taking a middle school two-story teaching building as an example. The study results show that the CIM technology can provide buildings’ actual data information such as geometry, physics, structure, and rules for building microrenovation; the SSN technology greatly reduces a lot of work caused by the rewiring of control system in the construction of building microrenovation. The combination of CIM and SSN can effectively connect various entity elements in building microrenovation to form a theme library through various data spatial relationships and spatial coding, realizing the connection of spatial data and nonspatial data in multiple dimensions. The data analysis of building microrenovation based on CIM and SSN includes multiple dimensions of achievements, processes, resources, characteristics, and applications, which is more in line with CIM integration applications and is easier for realistic information exchange and sharing applications.

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Section: Case Application and Its Results Analysismentioning

confidence: 99%

Data Analysis of Building Microrenovation Based on City Information Modeling and Smart Sensor Networks

Zhang

Sun

et al. 2022

Journal of Sensors

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“…IAQ issues are among the top public health concerns in every sustainable building, which may be overlooked when improving energy efficiency. 173 Studies have shown that among the major sources of air pollution are buildings materials, mostly paints, plastic wall materials, wooden materials serving as potential sources of volatile organic compounds (VOCs), HCHO, including airborne microplastics. 174,175 Exposure to these air pollutants can cause both short-term and long-term cardiorespiratory health problems, including sick building syndrome to the occupants.…”

Section: Cooling Effect Of Pcm Under Extreme Heat Stress In the Outdo...mentioning

confidence: 99%

Influence of phase change materials on thermal comfort, greenhouse gas emissions, and potential indoor air quality issues across different climatic regions: A critical review

Amoatey

Al‐Jabri

Al‐Saadi

2022

Intl J of Energy Research

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There has been growing interest in applying phase change materials (PCMs) in buildings owing to their energy conservation/latent heat storage properties and potential to improve thermal comfort. Various reviews have extensively discussed the thermophysical properties of PCMs and their energy-saving potential in buildings. However, comprehensive reviews on the indoor thermal/ personal comfort behavior of PCMs under different climates remain limited. Therefore, this study aims to present a comprehensive state-of-the-art review of the impact of PCMs on indoor thermal comfort levels in buildings located in cities within different subclimate zones and their personal cooling effect when integrated with clothing (vest). In addition, greenhouse gas (GHG) mitigation potentials and indoor air pollutant emission properties of PCM-enhanced buildings were also reviewed. Hundreds of published articles of PCMs in PubMed and Scopus databases, including a manual search approach, were utilized. The results from this state-of-the-art study have shown that incorporating PCMs in buildings satisfactorily reduced the indoor air temperature of most buildings located in hot climate (BSh, BWh) zones, but very limited studies have been performed in the cold (Dfc, BSk) environments. In general, there was an improvement in the thermal comfort levels of the PCM-enhanced buildings. However, these were mostly assessed using indices such as predicted mean vote, predicted percentage of dissatisfied, comfort index, and total discomfort change, without any comprehensive survey studies (eg, based on

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“…This increases productivity, efficiency, quality, and sustainability while also minimizing errors and improving interdisciplinary project team coordination. The use of BIM applications can easily transfer distinct data into real-time information platform and decision-support system (Yan et al 2011;Ismaeel and Mohamed 2022). Thus, it can synchronise data about building materials and their environmental impact (Anand and Amor 2017), enabling environmental analyses and fostering an insighted perspective of selecting building materials and products (Ajayi et al 2015;Wang et al 2011).…”

Section: The Role Of Building Information Modelling In the Building S...mentioning

confidence: 99%

An integrated building information modelling-based environmental impact assessment framework

Ismaeel

Lotfy

2022

Clean Techn Environ Policy

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The application of Environmental Impact Assessment (EIA) studies faces many challenges, especially in developing countries. This problem was investigated in the existing literature and via a designed questionnaire among local practitioners. The reasons were mainly attributed to the seclusion of the EIA process across the project’s phases, as well as the complexity of the EIA procedures. Hence, the research argues that Building Information Modelling (BIM) applications can be the key to resolve several associated problems to EIA either directly, or indirectly by streamlining Environmental Management System (EMS). Thus, a keyword-based scientometric analysis was used to define parameters and interrelations and establish network analysis for a proposed BIM-based EIA framework. The proposed framework presents scoring schemes to support three types of assessments: the efficiency of applying BIM techniques for an EIA process (Score A), proper integration of BIM techniques for different EIA steps (Score I) and proper integration of BIM techniques across project phases (Score B). It also shows the interplay of points between the three schemes via a Sankey diagram. The proposed framework was applied to compare three major construction projects in a developing country, the case of Egypt to pinpoint areas of drawbacks. The results pinpointed poor application of advanced BIM models to support sustainability analysis for EIA studies. This is in addition to imbalance of applying BIM applications across different project phases, it was notably less pronounced for the operation and maintenance stage as well as end of life scenarios. Also, poor integration of BIM tools could not support decisions related to the mitigation step. Hence, applying 6-dimensional BIM model shall enable developing mitigation measures and shall support design optimization during building operation and end of life phase. This novel approach presents the required level of verification and quality control procedure needed by decision-makers and environmental engineers to perform EIA studies and pave the way for further related research. Graphical Abstract

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Indoor air quality for sustainable building renovation: A decision-support assessment system using structural equation modelling

Cited by 33 publications

References 53 publications

Data Analysis of Building Microrenovation Based on City Information Modeling and Smart Sensor Networks

Data Analysis of Building Microrenovation Based on City Information Modeling and Smart Sensor Networks

Influence of phase change materials on thermal comfort, greenhouse gas emissions, and potential indoor air quality issues across different climatic regions: A critical review

An integrated building information modelling-based environmental impact assessment framework

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