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Journal of Building Design and Environment (JBDE, Print ISSN 2811-0730; Online ISSN 2811-0749) is a peer-reviewed, open-access journal, published triannually and owned by Science Exploration Press (from Volume 2 Issue 3, 2024). Focusing on ecological architectural design, JBDE integrates architectural engineering, architectural aesthetics, sustainable development, and urban planning. more >
Articles
Causation analysis of crane-related accident reports by utilizing ChatGPT and complex networks
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This study integrates ChatGPT and complex network (CN) techniques into an accident analysis framework designed to reduce manual effort in accident causation analysis. The proposed framework supports construction stakeholders in extracting causal factors ...
MoreThis study integrates ChatGPT and complex network (CN) techniques into an accident analysis framework designed to reduce manual effort in accident causation analysis. The proposed framework supports construction stakeholders in extracting causal factors (CFs) from accident reports and identifying both critical CFs and key causal paths. A multistep research design was adopted to develop and validate this novel framework for analyzing crane-related construction accident reports using ChatGPT and CN techniques. First, ChatGPT was prompted to extract CFs from a database of crane-related accident reports. Second, evaluation metrics and an expert questionnaire survey were developed to assess ChatGPT’s performance in CF extraction. Finally, CN analysis was conducted to explore the relationships among CFs and to identify critical causal paths. A total of 95 crane-related accidents from Hong Kong (2011-2020) were analyzed using the proposed framework. The critical CFs identified included: “carelessness”, “operation error”, “crane unbalanced”, “machine failure”, “parts of a crane fall”, “object strike”, “worker fall”, “trapping”, “collapse of crane”, and “load drop”. The critical path identified was: “broken/failed rope” → “load drop” → “object strike”. The primary contribution of this study lies in developing an AI-driven framework that combines the contextual understanding of ChatGPT with the structural analysis capabilities of CN methods—offering a novel and scalable approach to accident causation analysis in the construction industry. Safety managers and practitioners can leverage this framework to improve the automation, consistency, and interpretability of construction accident reporting.
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Yifan Wang, ... Jingjing Guo
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DOI: https://doi.org/10.70401/jbde.2025.0009 - May 22, 2025
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This article belongs to the Special Issue Health and Safety Management in Construction: Innovations and Challenges
Insights and Issues of Implementing Virtual Reality (VR) for Supervision Training Purposes in SUBEB, Edo State, Nigeria
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This study explores the adoption of Virtual Reality (VR) in the Nigerian construction industry, with a focus on its potential benefits and associated challenges. Purposive and snowball sampling techniques were employed to select 52 construction professionals ...
MoreThis study explores the adoption of Virtual Reality (VR) in the Nigerian construction industry, with a focus on its potential benefits and associated challenges. Purposive and snowball sampling techniques were employed to select 52 construction professionals from Benin, Edo State,an emerging urban center with extensive construction activity. Adopting a quantitative approach, the research utilized a five-point Likert scale survey to assess perceptions of the benefits and barriers to VR adoption. The survey was pretested for clarity and reliability, and data were collected via the Qualtrics platform. The findings indicate that the key benefits of VR include improved task-technology alignment, enhanced workplace safety through virtual training, and more effective remote collaboration. VR was also found to enrich user experience and learning engagement by simulating high-risk scenarios to aid hazard prevention. Nevertheless, the study identifies several critical barriers to adoption, such as uncertainty regarding learning outcomes, technical disruptions, and high implementation costs. Despite these limitations, VR holds considerable promise for transforming training and professional development in the construction sector. To maximize its impact, the study recommends the development of customized training modules, technological improvements to enhance system reliability, and government support to mitigate implementation costs. Overall, VR has the potential to significantly improve training effectiveness, safety standards, and operational efficiency in the Nigerian construction industry, provided that the identified barriers are adequately addressed.
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Osamwonyi Ada-okungbowa, ... Colin A. Booth
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DOI: https://doi.org/10.70401/jbde.2025.0008 - May 17, 2025
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This article belongs to the Special Issue Innovative Planning and Operation for Sustainable Construction
Deep learning insights on the banning of engineered stone: decoding public sentiments in Australia
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Amid growing global attention to occupational health and safety, the construction industry faces critical challenges associated with engineered stone, which emits high concentrations of respirable crystalline silica during processing and has been linked ...
MoreAmid growing global attention to occupational health and safety, the construction industry faces critical challenges associated with engineered stone, which emits high concentrations of respirable crystalline silica during processing and has been linked to severe lung diseases. In response, Australia enacted a comprehensive nationwide ban on engineered stone in July 2024. Drawing on media framing theory, this study analyzes public discourse and sentiment surrounding the ban by examining 7,198 comments collected from Reddit and YouTube. Through Latent Dirichlet Allocation, three dominant themes emerged: health risks and safety concerns, economic impacts and industry transition, and regulatory implementation. Sentiment analysis revealed that 55.5% of the comments expressed negative sentiment, mainly centered on economic concerns, while 21.3% were positive, emphasizing health benefits, and 23.1% were neutral. Economic impact frames predominated among negative comments, whereas health risk frames were more common in positive ones. These findings suggest that future policy communications should more effectively integrate narratives around both health protection and economic transition. This study contributes to the methodological development of sentiment analysis and offers practical insights for policy formulation and implementation.
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Yuan Sheng, ... Jian Zuo
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DOI: https://doi.org/10.70401/jbde.2025.0007 - May 15, 2025
Digital twin (DT) development strategies in the architecture, engineering, and construction (AEC) industry based on SWOT-AHP analysis
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The architecture, engineering and construction (AEC) industry is currently encountering numerous challenges and actively pursuing industrial upgrades through digital transformation. Digital twin (DT) technology aligns well with the industry's evolving ...
MoreThe architecture, engineering and construction (AEC) industry is currently encountering numerous challenges and actively pursuing industrial upgrades through digital transformation. Digital twin (DT) technology aligns well with the industry's evolving needs due to its capabilities in data integration, intelligent decision-making, and effective management of project progress, efficiency, and quality. This study conducts a comprehensive literature review to analyze the strengths, weaknesses, opportunities, and threats (SWOT) associated with DT applications in the AEC sector. Additionally, field visits and semi-structured interviews were conducted on a selected construction project where DT was implemented, allowing for an in-depth examination of both its significant benefits and potential limitations. To further evaluate and prioritize the identified SWOT factors, a SWOT-AHP analysis was performed. The results indicate that the AEC industry has a strong interest in DT's advantages, particularly its potential to enhance resource allocation and process efficiency. Furthermore, the analysis reveals that the strategic quadrilateral occupies the largest area in the fourth quadrant (0.8554), with the strategic center of gravity located at (0.2321, -0.04135), suggesting that Strengths-Threats (ST) strategies should be implemented to support the future development and adoption of DT. Based on this strategic framework, the study formulates actionable development strategies to facilitate the effective integration and widespread adoption of DT in the AEC industry.
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Zhenxin Pan, Fangyu Guo
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DOI: https://doi.org/10.70401/jbde.2025.0006 - April 09, 2025
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This article belongs to the Special Issue Innovative Planning and Operation for Sustainable Construction
Pre-trained deep learning models for EEG-based cognitive state recognition for construction workers through transfer learning
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In pursuit of proactive safety management in construction, accurate and real-time recognition of workers' cognitive states is essential for crafting targeted interventions to minimize safety risks. Unlike conventional manual and qualitative methods, ...
MoreIn pursuit of proactive safety management in construction, accurate and real-time recognition of workers' cognitive states is essential for crafting targeted interventions to minimize safety risks. Unlike conventional manual and qualitative methods, electroencephalogram (EEG) offers a reliable and objective solution for cognitive state recognition. Notably, efforts that integrate EEG with deep learning have exhibited significant advancements. Nevertheless, certain constraints, such as experimental costs and limited participants, have caused a scarcity of high-quality data, which has impeded performance in recognition tasks. Although transfer learning demonstrates its capability in addressing this challenge, the lack of relevant explorations into EEG-based cognitive state recognition remains a significant research gap. Therefore, customizing pre-trained deep learning models for these tasks would be beneficial. This study aims to develop pre-trained models to advance future studies in this domain through transfer learning, encompassing: 1) extracting extensive and accurately labeled EEG data from the DEAP dataset, 2) selecting appropriate network architectures and implementing pre-trained model development, and 3) collecting EEG data for mental fatigue recognition and evaluating model effectiveness. Rigorous evaluation suggests a substantial improvement in model performance, with test accuracy increasing from 63.19% to 92.29% by leveraging the pre-trained convolutional neural networks (CNN)—long short-term memory (LSTM) model. In conclusion, this study significantly contributes to enhancing safety management for construction workers through EEG by providing validated pre-trained models to address challenges of data scarcity. Future research may advance by exploring additional network architectures, increasing sample size, and considering more specific recognition tasks for model evaluation.
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Zirui Li, ... Qiming Li
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DOI: https://doi.org/10.70401/jbde.2025.0005 - April 02, 2025
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This article belongs to the Special Issue Health and Safety Management in Construction: Innovations and Challenges
A decision support system for internal logistics operations management
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Continuous improvement in industrial processes has made efficient internal material transportation critical. This study presents a decision support system for tracking internal transportation vehicles and providing effective inner logistics management. ...
MoreContinuous improvement in industrial processes has made efficient internal material transportation critical. This study presents a decision support system for tracking internal transportation vehicles and providing effective inner logistics management. The proposed model includes a barcoding based transportation vehicle tracking system, a forecasting model for daily transportation demands of different buildings and presents a predictive demand-vehicle assignment mathematical model. Results show that the model reduces the operational costs due to vehicle search and vehicle transportation, and material damage costs due to vehicle-material mismatch at a great extent.
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Denizay Akbiyik, ... Nilgun Fescioglu-Unver
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DOI: https://doi.org/10.70401/jbde.2024.0001 - September 28, 2024
Understanding the fundamental barriers to environmental management system implementation in developing countries
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Construction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences ...
MoreConstruction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences for construction stakeholders, are also alarming. Implementing environmental management tools such as environmental management systems (EMS) is often advocated to address the negative environmental impacts of construction organizations. Construction firms in developed nations have embraced EMS and implemented it to enhance construction business, environmental performance, and construction workers' health, while similar evidence is not recorded in developing nations. Therefore, this study investigated the barriers to EMS implementation through a survey of construction professionals in the Nigerian construction industry. 106 valid data were analyzed using factor analysis, Cronbach's alpha test, and fuzzy synthetic evaluation (FSE). The results of the factor analysis revealed four groups of barriers to EMS implementation, which are prioritized in the order of knowledge-related, stakeholders-related, process-related, and cultural-related barriers with FSE. The relationships between the four classes of barriers were determined using interpretive structural modelling (ISM) in which "knowledge-related barriers" are indicated as the core barrier to EMS implementation. To address the barriers to EMS implementation, organizing training, providing the needed resources for environmental education, collaborating with construction stakeholders, providing a reward system, and others were recommended. This study contributes theoretically and practically to environmental-related discourses in the construction industry. Theoretically, utilizing FSE provides an interesting insight that acknowledges the unique challenges of developing nations in the domain. Practically, this study gives an actionable focus for construction stakeholders to domesticate EMS within the local construction environment, thereby improving knowledge of the importance of environmental sustainability and pro-environmental behaviors.
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Lekan Damilola Ojo, ... Emmanuel Kingsford Owusu
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DOI: https://doi.org/10.70401/jbde.2024.0003 - October 24, 2024
Obstacles and countermeasures for promoting prefabricated housing in rural areas of Jiangsu, China
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Prefabricated housing (PH) is widely supported and applied in China due to its high efficiency and low carbon emissions. However, the adoption of this sustainable construction method has been slow in rural areas, hindered by economic, policy and location factors. ...
MorePrefabricated housing (PH) is widely supported and applied in China due to its high efficiency and low carbon emissions. However, the adoption of this sustainable construction method has been slow in rural areas, hindered by economic, policy and location factors. To promote the development of low-carbon construction in rural areas and address the obstacles, this study focuses on Jiangsu province as a case study, proposing effective strategies to modernize and advance sustainable rural housing. The primary barrier to the prefabricated concrete (PC) adoption in rural Jiangsu were identified through a literature review and expert interviews. A survey was then conducted to assess the impact of these barriers, yielding 228 valid responses from industry professionals. Factor analysis was conducted using SPSS 19.0 to calculate the multi-level weights for influencing factors across dimensions. Based on these findings, key obstacles were further analyzed through strengths, weaknesses, opportunities and threats (SWOT) analysis to develop targeted countermeasures and recommendations. The research results show that: (1) Among secondary indicators, Policy factors (weight = 0.219) and Location factors (weight = 0.215) have the most significant impact PC promotion in rural Jiangsu; (2) Among the tertiary indicators, the critical factors are "The standard system is incomplete" (weight = 0.059), "The technical system is not mature" (weight = 0.048), "Lack of specific departments for promoting and supervising at the grassroots level" (weight = 0.046); (3) Strategies such as enhancing policy alignment and market penetration, tailoring solutions to local demands, establishing a robust regulatory framework, and fostering community engagement and acceptance can effectively address the challenges of promoting PC in rural areas. This research provides actionable pathways for the advancing prefabricated housing in Jiangsu and offers valuable references for other regions seeking to promote prefabricated housing in China.
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Rui Wang, ... Guodong Ni
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DOI: https://doi.org/10.70401/jbde.2024.0007 - December 9, 2024
Towards healthier dining environments: evaluating indoor air quality in Dubai restaurants
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This study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, ...
MoreThis study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, and volatile organic compounds (VOCs) during cooking, the study highlights the importance of maintaining healthy IAQ in restaurants. The study includes a detailed case analysis, evaluating current air quality standards, identifying potential pollutants, and assessing their implications. A preliminary assessment, combined with a quantitative inspection of the kitchen and dining areas, set the foundation for a survey conducted among staff and customers. This survey identified key areas of concern and the variables essential for monitoring to maintain IAQ at optimal levels. The study measured parameters such as PM2.5, PM10, temperature, humidity, interior lighting, CO, and total VOCs using appropriate instruments. Results indicated that cooking activities contribute to elevated levels of particulate matter, suggesting a need for enhanced ventilation or air purification systems to ensure a healthy working environment. While some employees reported discomfort during working hours, customer feedback was largely positive, with around 90% expressing satisfaction with the restaurant's IAQ. The findings underscore the importance of continuous monitoring and improvement of IAQ in the hospitality industry to safeguard the well-being of both staff and patrons.
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Priji Biju, ... Bashaer Saumer
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DOI: https://doi.org/10.70401/jbde.2024.0006 - November 19, 2024
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This article belongs to the Special Issue Indoor Environmental Quality and Human Health
Roles of robotics in architectural and engineering construction industries: review and future trends
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Over the past two decades, the field of robotics in construction has evolved into an interdisciplinary research domain that combines a multitude of pressing technologies. This work introduces an innovative review framework that assesses the interconnection ...
MoreOver the past two decades, the field of robotics in construction has evolved into an interdisciplinary research domain that combines a multitude of pressing technologies. This work introduces an innovative review framework that assesses the interconnection between robotics in construction and automation, while also examining advancements in technologies. In this research, a novel classification framework was created and a comprehensive literature review was performed to shed light on recent developments in the field of robotic construction. The objectives are to delineate the diverse dimensions of robotics in construction, uncover the underlying themes and sub-themes within these dimensions, identify key research gaps in the current studies, and provide recommendations for future research endeavors. This paper concluded that the existing research focus primarily on technical aspects in robotics within construction, neglecting environmental considerations, while identifying a lack of long-term studies on structural performance, hindering concerns about durability. Additionally, challenges persist in integrating robotics into construction workflows without disruption, compounded by the absence of standardized practices and regulations, alongside concerns about safe human-robot interaction, affordability, and accessibility. Furthermore, inadequate training programs for workers and ethical concerns regarding job displacement, privacy, and societal impacts underscore the need for careful examination in the responsible and ethical deployment of robotics technologies. Finally, research efforts should emphasize the development of user-friendly interfaces and ergonomic designs for construction robots to enhance their usability and acceptance among workers, ultimately contributing to the successful integration of robotics into construction practices.
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Abdullah Al Masri, ... Mohammad K. Najjar
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DOI: https://doi.org/10.37155/2811-0730-0302-9 - April 19, 2024
Understanding the fundamental barriers to environmental management system implementation in developing countries
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Construction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences ...
MoreConstruction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences for construction stakeholders, are also alarming. Implementing environmental management tools such as environmental management systems (EMS) is often advocated to address the negative environmental impacts of construction organizations. Construction firms in developed nations have embraced EMS and implemented it to enhance construction business, environmental performance, and construction workers' health, while similar evidence is not recorded in developing nations. Therefore, this study investigated the barriers to EMS implementation through a survey of construction professionals in the Nigerian construction industry. 106 valid data were analyzed using factor analysis, Cronbach's alpha test, and fuzzy synthetic evaluation (FSE). The results of the factor analysis revealed four groups of barriers to EMS implementation, which are prioritized in the order of knowledge-related, stakeholders-related, process-related, and cultural-related barriers with FSE. The relationships between the four classes of barriers were determined using interpretive structural modelling (ISM) in which "knowledge-related barriers" are indicated as the core barrier to EMS implementation. To address the barriers to EMS implementation, organizing training, providing the needed resources for environmental education, collaborating with construction stakeholders, providing a reward system, and others were recommended. This study contributes theoretically and practically to environmental-related discourses in the construction industry. Theoretically, utilizing FSE provides an interesting insight that acknowledges the unique challenges of developing nations in the domain. Practically, this study gives an actionable focus for construction stakeholders to domesticate EMS within the local construction environment, thereby improving knowledge of the importance of environmental sustainability and pro-environmental behaviors.
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Lekan Damilola Ojo, ... Emmanuel Kingsford Owusu
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DOI: https://doi.org/10.70401/jbde.2024.0003 - October 24, 2024
Towards healthier dining environments: evaluating indoor air quality in Dubai restaurants
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This study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, ...
MoreThis study investigates the indoor air quality (IAQ) of restaurants in Dubai with a focus on the impact of cooking-related pollutants on the health and comfort of both employees and patrons. Recognizing the release of particulate matter (PM), carbon oxides, and volatile organic compounds (VOCs) during cooking, the study highlights the importance of maintaining healthy IAQ in restaurants. The study includes a detailed case analysis, evaluating current air quality standards, identifying potential pollutants, and assessing their implications. A preliminary assessment, combined with a quantitative inspection of the kitchen and dining areas, set the foundation for a survey conducted among staff and customers. This survey identified key areas of concern and the variables essential for monitoring to maintain IAQ at optimal levels. The study measured parameters such as PM2.5, PM10, temperature, humidity, interior lighting, CO, and total VOCs using appropriate instruments. Results indicated that cooking activities contribute to elevated levels of particulate matter, suggesting a need for enhanced ventilation or air purification systems to ensure a healthy working environment. While some employees reported discomfort during working hours, customer feedback was largely positive, with around 90% expressing satisfaction with the restaurant's IAQ. The findings underscore the importance of continuous monitoring and improvement of IAQ in the hospitality industry to safeguard the well-being of both staff and patrons.
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Priji Biju, ... Bashaer Saumer
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DOI: https://doi.org/10.70401/jbde.2024.0006 - November 19, 2024
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This article belongs to the Special Issue Indoor Environmental Quality and Human Health
Benchmarking green technologies: a survey of non-domestic buildings in Sri Lanka
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The escalating demand for energy and resources in the construction industry, together with poor energy performance of existing buildings, pose challenges for sustainability. Despite the incorporation of advanced technologies in modern construction to ...
MoreThe escalating demand for energy and resources in the construction industry, together with poor energy performance of existing buildings, pose challenges for sustainability. Despite the incorporation of advanced technologies in modern construction to reduce energy consumption, a significant number of buildings are yet to adopt sustainable practices, owing to lack of awareness about potential technologies, and the considerations for selection. To this end, the current study aims to survey commercial buildings to explore the technologies implemented together with the basis that influenced the implementation. A detailed survey including semi-structured interviews with professionals engaged in the selected non-domestic buildings were conducted. The selected buildings comprise three (3) certified retrofit, eight (8) certified new and seven (7) non-certified green. The findings show that the buildings have incorporated 54 different technologies under the main sustainability criteria of water efficiency, lighting, heating, ventilation, and air conditioning (HVAC) systems, indoor environmental quality, and sustainable site. Advanced technologies, such as free cooling appliances, on-site wastewater treatments, and water-efficient climate-tolerant plantings, were predominantly found in green-certified buildings, while non-certified buildings tend to adopt more universally applicable and accessible technologies, like LED lighting, compact fluorescent lamps, and low-flow plumbing fixtures. The paper presents a detailed analysis on use of technologies with different building function, green rating levels, and challenges faced. Hence, the study findings would facilitate technology adaptation for a given context by providing insights into the availability and adaptability of green retrofit technologies in the Sri Lankan context for non-domestic buildings.
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Mathanky Sachchithananthan, ... James Olabode Bamidele Rotimi
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DOI: https://doi.org/10.70401/jbde.2024.0004 - October 29, 2024
Techno-economic optimization of hybrid energy systems for zero energy buildings in remote communities: a case study from Turkey
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This study evaluates the economic efficiency and viability of optimizing hybrid renewable energy systems (HRES) for zero-energy buildings (ZEBs) in remote communities, with a specific focus on Ankara, Turkey, in response to the increasing demand for renewable ...
MoreThis study evaluates the economic efficiency and viability of optimizing hybrid renewable energy systems (HRES) for zero-energy buildings (ZEBs) in remote communities, with a specific focus on Ankara, Turkey, in response to the increasing demand for renewable energy driven by concerns over fossil fuel scarcity, environmental sustainability, and rising conventional energy costs. Using the Hybrid Optimization Model for Multiple Energy Resources (HOMER) program, known for its advanced algorithms that accurately model and optimize hybrid systems by considering factors such as weather data, load profiles, and equipment specifications, we perform a comprehensive techno-economic analysis. We explore five different HRES configurations, combining photovoltaic (PV) panels, wind turbines (WT), diesel generators (DG), and battery storage systems, to determine the most cost-effective and reliable solution for powering approximately 30 rural households. The analysis reveals that the optimal configuration includes 107 kW of PV, three 10 kW WT, a 10 kW DG, and 45 units of 7.15 kWh batteries, demonstrating a net present cost (NPC) of $568,431 and a cost of energy (COE) of $0.257/kWh. This setup achieves significant annual energy production of 165,068 kWh from PV, 96,329 kWh from WT, and 27,100 kWh from DG. This configuration maintains a high state of charge (SoC) in the battery storage, ensuring system stability and extending the battery lifespan. The system's ability to consistently meet load demands with minimal reliance on the DG highlights its superior techno-economic synergy compared to other scenarios. Sensitivity analysis reveals that a doubling of fuel prices increases COE by 14% and NPC by 13%, while a 40% reduction in PV and WT capital costs decreases COE and NPC by approximately 16% and 18%, respectively. Furthermore, declining expenses associated with PV and WT installations emphasize the ongoing affordability of renewable energy solutions. These results provide valuable insights for the deployment of cost-effective and reliable HRES in similar remote locations, contributing to the broader goal of sustainable energy solutions for ZEBs.
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Othman J. Alhayali, Mehdi Mehrtash
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DOI: https://doi.org/10.70401/jbde.2024.0002 - September 28, 2024
Obstacles and countermeasures for promoting prefabricated housing in rural areas of Jiangsu, China
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Prefabricated housing (PH) is widely supported and applied in China due to its high efficiency and low carbon emissions. However, the adoption of this sustainable construction method has been slow in rural areas, hindered by economic, policy and location factors. ...
MorePrefabricated housing (PH) is widely supported and applied in China due to its high efficiency and low carbon emissions. However, the adoption of this sustainable construction method has been slow in rural areas, hindered by economic, policy and location factors. To promote the development of low-carbon construction in rural areas and address the obstacles, this study focuses on Jiangsu province as a case study, proposing effective strategies to modernize and advance sustainable rural housing. The primary barrier to the prefabricated concrete (PC) adoption in rural Jiangsu were identified through a literature review and expert interviews. A survey was then conducted to assess the impact of these barriers, yielding 228 valid responses from industry professionals. Factor analysis was conducted using SPSS 19.0 to calculate the multi-level weights for influencing factors across dimensions. Based on these findings, key obstacles were further analyzed through strengths, weaknesses, opportunities and threats (SWOT) analysis to develop targeted countermeasures and recommendations. The research results show that: (1) Among secondary indicators, Policy factors (weight = 0.219) and Location factors (weight = 0.215) have the most significant impact PC promotion in rural Jiangsu; (2) Among the tertiary indicators, the critical factors are "The standard system is incomplete" (weight = 0.059), "The technical system is not mature" (weight = 0.048), "Lack of specific departments for promoting and supervising at the grassroots level" (weight = 0.046); (3) Strategies such as enhancing policy alignment and market penetration, tailoring solutions to local demands, establishing a robust regulatory framework, and fostering community engagement and acceptance can effectively address the challenges of promoting PC in rural areas. This research provides actionable pathways for the advancing prefabricated housing in Jiangsu and offers valuable references for other regions seeking to promote prefabricated housing in China.
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Rui Wang, ... Guodong Ni
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DOI: https://doi.org/10.70401/jbde.2024.0007 - December 9, 2024
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