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This study discusses how Bangladeshi libraries have adopted green methods to protect the environment, focusing on the Dhaka University Library (DUL), while exploring the associated opportunities and challenges. As there is no library in the country that is LEED (Leadership in Energy & Environmental Design) certified, this study outlines how the DUL can be transformed into a green library and aims to inspire other libraries to implement similar techniques. The work also provides a framework for libraries that are designing a new green building, renovating existing structures, and educating the public and library professionals about the benefits of creating and operating sustainable green libraries for both the users and the environment. A mixed-methods research design drives the study with 404 DUL patrons and 15 staff members participating in surveys and face-to-face interviews. This study revealed important perceptions of the DUL users and library professionals toward a green library. Finally, it identifies several challenges, including a lack of knowledge about green technology, budget constraints, low public awareness, and insufficient willingness among users and staff. In addition, the study highlights some opportunities, such as offering a healthy indoor and outdoor environment and initiating a project that could inspire other libraries to adopt green practices, with a particular focus on DUL. The insights gained from this study would help the DUL execute a green library concept and pave the way for further research on green libraries in Bangladesh.

A green library, or a sustainable library, enables us to collaborate with nature to fulfill some of our fundamental needs. This concept fosters a harmonious relationship between our community and the environment; green libraries, in essence, serve as examples for reconnecting with the beauty of the natural world. The purpose of this article is to delve into the practical challenges associated with transitioning a conventional library into a green one, as well as strategies for improvements. It explores topics such as the green library's historical background, its significance in environmental conservation, the librarian's role within it, ongoing green library projects, and initiatives promoting eco-friendly libraries, particularly focusing on India's efforts in this regard. Managing a green library poses several challenges. Firstly, the transformation process involves architectural redesign, incurring construction costs if an existing library is to be converted. Establishing a green library from scratch entails substantial initial expenses. Moreover, daily maintenance is crucial, necessitating proper employee training and ongoing efforts. Maintenance costs and the allocation of manpower are also essential considerations. Furthermore, this article examines the roles of key initiatives such as the United Nations Development Program (UNDP), Sustainable Development Goals (UNESCO), the IFLA Green Library Award, the Green Building Council of India, and LEED (Leadership in Energy and Environmental Design) in advancing sustainable practices within library settings.

Green buildings are a crucial element in achieving sustainable development. The use of green buildings can save energy and reduce greenhouse gas emissions. Promoting the widespread adoption of green buildings has become a significant concern in many countries or regions. Although previous studies have identified a range of key factors influencing the promotion of green buildings, further analysis of the combination of these critical factors needs to be conducted. Therefore, based on the technology–organization–environment (TOE) framework, this study utilizes the fuzzy-set qualitative comparative analysis (fsQCA) method to analyze survey data from 26 cities in China, resulting in four high-level configuration paths for the widespread adoption of green buildings. The results indicate that (1) achieving high levels of widespread adoption of green buildings does not depend on any single factor; instead, it relies on the collaborative interaction of multiple elements across technological, organizational, and environmental dimensions; (2) the potential substitution relationships between conditional variables among different configurations within the TOE framework indicate that science and technology expenditure and gross domestic product play more significant roles in the path combinations for the promotion of green buildings; (3) through the study of the substitutive relationships of four configuration paths, it was found that when a city faces challenges in the widespread adoption of green buildings, such as an insufficient number of green building technology patents or underdeveloped green finance incentive systems, it can still achieve efficient green building adoption by formulating corresponding policies and enhancing cultural value guidance for groups like developers, contractors, and consumers. Conversely, the same is true. This paper explores the combination of critical factors in green building adoption, providing insights into addressing the differing foundational conditions of cities in the process. [ABSTRACT FROM AUTHOR]

The effects of global warming are far-reaching and can affect and threaten every aspect of human existence. Human activities such as burning fossil fuels and deforestation have mainly contributed to the emission of these greenhouse gases into the atmosphere. Construction activities and practices are one such human activity. Building services are the aspects of a building that ensure the occupants are comfortable and secure within the building. However, building services use resources such as energy and water to create such comfort. The 4.0 era of industry has introduced dimensions to Green Building Concepts and practices of creating structures and processes that are environmentally friendly, responsible and resource efficient. This research, therefore, seeks to develop a framework for the integration of Industry 4.0-related green concepts into services in commercial buildings. A cross-sectional survey design was adopted in this research to provide information concerning integrating green concepts into building services in commercial buildings in Nigeria. Data were collected with questionnaires from 106 built environment professionals who also use commercial buildings in the study area of Abuja. Statistical tools for frequency, percentage, mean score, relative important index (RII), independent samples t test, Mann–Whitney U test and the factor reduction method based on eigen values were used to analyze the data. The results indicated that quality indoor air conditioning is the most critical satisfaction parameter for users within commercial buildings, with an average mean score of 3.81. The aesthetic effect of installed services on the building façade and high-quality building services components was ranked high, with an average mean score of 3.33 for each. The results also indicated that the lack of relevant technology and inadequate training of service personnel hindered the growth of green building concepts in Nigeria. These factors had a mean score of 4.35 each. Professionals ranked energy efficient/saving bulbs, e.g., CFLs, remote controlled, sensored lights, natural daylight, solar photovoltaic panels and building management systems, as the most effective green components that can be incorporated into commercial buildings. These factors and others were combined to create a framework for integrating green concepts for services into commercial buildings. When the construction industry and government in Nigeria adopt this framework, it can promote more integration of green concepts into commercial building services. [ABSTRACT FROM AUTHOR]

Previous studies have often identified and ranked the most frequently reported barriers to green building (GB) implementation in a limited geographical scope. This study aims to address this gap by identifying critical GB barriers in developing countries, based on a comprehensive review in 30 countries worldwide. In addition, this research specifies which of these barriers are weightier and have a greater impact on GB implementation. On the other hand, using a PESTEL framework, this study analyzes the macro-environmental features that should be taken into account by the construction industry when making decisions to set out long-term GB strategies. To achieve this aim, 27 barriers were identified and categorized into the PESTEL framework. Likert scale- and AHP-based questionnaire surveys were completed by experienced experts in both green and conventional buildings. Results indicated that economic barriers are ranked as the most significant barriers hindering GB adoption. It also confirmed that the perceptions of the barriers criticality from a different group of respondents were significantly dissimilar. Furthermore, comparing the results with studies in China, India, the USA, Canada, Australia, and Ghana highlights the need for such studies to better understand the critical barriers to GB adoption in countries that decided to expand GB practices. The results of this study contribute to bridging the gap in knowledge on GB barriers in developing countries as well as helping industry practitioners and policymakers to develop suitable strategies to remove the barriers and promote the widespread GB for more sustainable built environments. [ABSTRACT FROM AUTHOR]

This paper critically examines the carbon cycle and environmental impacts associated with building materials, encompassing diverse impact categories for both midpoint and endpoint scenarios. The research encompasses a comparative analysis of five distinct scenarios, contrasting the environmental performance of green against conventional counterparts. Notably, previous research endeavors did not investigate the effects of varying percentages with and without phase change materials (PCM). The primary objective is to assess the impact of integrating phase change materials (PCM) with varying percentages of fly ash (20% and 35%) on energy consumption and carbon emissions, particularly in cold climates like Norway. The study employs the ReCiPe2016 Midpoint (E) method, which offers a robust life cycle assessment (LCA) framework aligned with European standards, making it particularly suitable for this context. Energy Plus, within the Design Builder software, was used to simulate and calculate the impact of PCM on energy efficiency. The findings underscore those environmental impacts attributed to green buildings amount to 9.79 × 104 kg of CO2 equivalent, while conventional buildings account for 1.04 × 105 kg of CO2 equivalent. Furthermore, among the cases studied, the optimal scenario pertains to a green building utilizing 35% wind ash cement and PCM, resulting in the equivalent of 9.68 × 104 kg of CO2 emissions. Remarkably, the best-case scenario involves a green building boasting a robust steel interior structure and aluminum windows, whereas the worst-case scenario entails a typical building devoid of PCM implementation. Furthermore, energy consumption analysis indicates that scenario 5, which utilizes PCM and 35% fly ash, achieves a 15% reduction in cooling energy and a 6.9% reduction in heating energy compared to scenario 3, resulting in an annual energy consumption of 97,453.09 kWh. [ABSTRACT FROM AUTHOR]

Corporate dispositions have been associated with implementing sustainable building construction (SBC). Prior studies have underscored the need for institutions to adopt sustainable development concepts as an integral part of their operations. Nonetheless, there remains ambiguity about the characteristics essential for enabling SBC, particularly for construction companies. Consequently, this study explored the corporate dispositions influencing SBC implementation in South Africa. The respondents included built environment professionals in the Gauteng province of South Africa. Descriptive and principal component analyses were used to determine the essential characteristics or features. The study found that top management support, competency, availability of finance for the project operation, good project management culture, stakeholders' involvement and commitment, and commitment to innovative construction are the most critical corporate disposition features for SBC implementation. These formed a principal cluster called corporate capability and commitment. The insight from the critical corporate dispositions analysis is anticipated to trigger improvement initiatives and mitigate unsustainable practices and the unaffordability of smart houses in the South African construction industry. The findings suggest that mobilising competent human and financial resources for project operation among construction firms will support the adoption of modern building techniques and the erection of smart houses. Similarly, competitive advantage and committed involvement of the relevant stakeholders, including government and community, can lead to subsidy, alignment of local needs and aspirations, and reducing the high price of erecting sustainable/smart buildings and rental costs. [ABSTRACT FROM AUTHOR]

Fluctuating weather patterns profoundly influence different facets of human existence. From intense heatwaves to powerful storms, these variations in climate can impact our health, comfort, and security. Consequently, it is crucial to develop innovative strategies to lessen these impacts. One promising approach is the development of green buildings designed to achieve net zero carbon emissions. These eco-friendly buildings focus on maximizing energy efficiency, utilizing renewable energy, and choosing sustainable materials. By reducing their environmental impact, they play a part in fostering a healthier Earth and improving the quality of life. The purpose of this research is to delve into the optimal façade design for ecoconscious construction, taking into account several essential factors. The research approach includes thorough data gathering through on-site surveys, simulations, and case study analysis. The principal conclusions highlight the significance of using materials that conserve energy, employing passive architectural techniques, and incorporating renewable energy systems. Embracing net-zero carbon concepts in architectural design leads us toward a more robust and sustainable future by diminishing the repercussions of climate change and promoting enhanced well-being. [ABSTRACT FROM AUTHOR]

China's construction, energy consumption, and emissions are the world's largest, making green building (GB) crucial for sustainable development and climate action. GB policies play a crucial role in promoting sustainable development and mitigating environmental impacts. This paper presents a comprehensive analysis of China's GB policies at both central and local levels using natural language processing (NLP), Latent Dirichlet Allocation (LDA), and semantic network analysis (SNA). It also integrates three theoretical frameworks: Policy Implementation Theory, Sustainable Development Theory, and Innovation Diffusion Theory. The study aims to: (1) compare the characteristics of central and local GB policies; (2) identify problems and propose solutions to improve policy effects and impacts. The results show that both levels of policies cover various sustainability aspects but with different focuses. The SNA reveals the semantic relationships and differences within the policy documents. The study suggests several strategies to enhance GB policy effectiveness and sustainability, based on the three theoretical frameworks. These strategies include providing more specific guidance, enhancing financial support and incentives, promoting technological advancements, strengthening monitoring and evaluation, adopting a more systematic approach, democratizing policy formulation, identifying key stakeholders and influencers, and considering innovation characteristics. This study contributes to the GB policy research and practice in China. It is also the first study to use NLP, LDA, and SNA to comprehensively analyze China's GB policies, and the first study to apply the three theoretical frameworks to GB policy analysis. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To implement the principle of sustainable development worldwide, multiple sustainability criteria are utilized. The challenges that significantly impact quality of life and the environment are largely influenced by residential and service buildings, which rely heavily on energy and water demands, as well as the strategies and smart systems used for their optimization. This study aims to investigate the relationship between energy and water usage based on various building assessment standards. The research question explored is how extensively the Global Sustainability Systems approach energy-water assessments. The objectives of the study were to examine the weight and density valuations of six (6) notable global sustainable systems. The various stages of the study include defining the research question, categorizing the data, analyzing the data to generate reportable metrics, and providing an in-depth discussion of the findings. The findings of the study illustrate the strong influence of energy, with a maximum allocation of 55% for the Green Mark (GM) assessment. GM also recorded the highest allocation for the issue of Energy Optimization, at 22%. On the other hand, the maximum allocation for the Water category is 10% in both the Green Star (GS) and Green Building Index systems. Furthermore, GS has the highest allocation for the issue of Water Reduction, at 9%. When considering all the reviewed systems, GM demonstrates the highest share for assessment issue distribution and the highest assessment correlation with the other systems - with a significance of 0.999 at p < 0.01 with Pearson correlation. Further critical evaluation of new assessment methodologies launched by, for instance, GS and GM, was considered a limitation of the research and is recommended for future research. [ABSTRACT FROM AUTHOR]

A green building (GB) is a design idea that integrates environmentally conscious technology and sustainable procedures throughout the building's life cycle. However, because different green requirements and performances are integrated into the building design, the GB design procedure typically takes longer than conventional structures. Machine learning (ML) and other advanced artificial intelligence (AI), such as DL techniques, are frequently utilized to assist designers in completing their work more quickly and precisely. Therefore, this study aims to develop a GB design predictive model utilizing ML and DL techniques to optimize resource consumption, improve occupant comfort, and lessen the environmental effect of the built environment of the GB design process. A dataset ASHARE-884 is applied to the suggested models. An Exploratory Data Analysis (EDA) is applied, which involves cleaning, sorting, and converting the category data into numerical values utilizing label encoding. In data preprocessing, the Z-Score normalization technique is applied to normalize the data. After data analysis and preprocessing, preprocessed data is used as input for Machine learning (ML) such as RF, DT, and Extreme GB, and Stacking and Deep Learning (DL) such as GNN, LSTM, and RNN techniques for green building design to enhance environmental sustainability by addressing different criteria of the GB design process. The performance of the proposed models is assessed using different evaluation metrics such as accuracy, precision, recall and F1-score. The experiment results indicate that the proposed GNN and LSTM models function more accurately and efficiently than conventional DL techniques for environmental sustainability in green buildings. [ABSTRACT FROM AUTHOR]

The global energy crisis has been one of the significant challenges for decades, threatening the global economy, and the health of our environment. The government's efforts to enhance the welfare and lifestyle of citizens have been partially undermined by a significant rise in energy intensity, resulting in increased energy consumption. Over the years, researchers have utilized historical energy consumption data to enhance energy efficiency through various technologies. Innovative smart technologies drive energy efficiency, reducing energy usage throughout all areas of the energy industry, from production and supply to consumption. This creates a balance in all sectors and indicates a decrease in energy demand in all areas of building infrastructure. Green buildings that utilize Internet of Things (IoT) technology employ sensors and software to collect data, optimizing, and enhancing building performance. This includes reducing energy and electricity consumption, improving air quality, and optimizing lighting throughout the day. These buildings can contribute to reaching zero‐energy building targets. It becomes challenging to manage green buildings without using centralized control. Therefore, managing and integrating these buildings with intelligent technologies is vital in achieving environmentally friendly management. This study offers a broad overview of the green building concept and explores the use of the green IoT in enhancing services and conserving energy within green buildings. The article aims to deliver an extensive review of green buildings and their advantages, analyze the technology behind the IoT and its integration with solar panels to lower energy consumption, and ultimately identify the challenges present in this area of research. [ABSTRACT FROM AUTHOR]

The pioneers of sustainable architecture began to question the international style of modernity with regard to its ecological qualities in the 1970s. In the decades that followed, the environmental issue was treated as a crisis. Today, there is no doubt about understanding our time as a major turning point in climate change. Since half of the energy used by humans worldwide is consumed in buildings, the topic of green architecture is essential. In the history of architecture, we find numerous examples that can be inspiring for solutions to today's problems. This work intends to investigate the sustainability aspects of mosque architecture from its beginning to the present day. In the introduction, the development of Islamic architecture in relation to environmental awareness is discussed. This is followed by supraregional aspects of sustainable Islamic architecture, which are analyzed under the following focal points: multifunctionality, natural materials, natural lighting and ventilation, sustainable design strategies, cultural sustainability, and finally, environmentally friendly and energy-conscious design in modern times. [ABSTRACT FROM AUTHOR]

Copyright of Guangdong Architecture Civil Engineering is the property of Guangdong Architecture Civil Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Teras Jurnal: Jurnal Teknik Sipil is the property of Teras Jurnal: Jurnal Teknik Sipil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Teras Jurnal: Jurnal Teknik Sipil is the property of Teras Jurnal: Jurnal Teknik Sipil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Low-carbon development in the field of buildings is an important means to achieve the goal of "carbon peaking and carbon neutrality". In public buildings, the operation of science and technology museum buildings (TMB) has high carbon emissions, and the application of green building technology for energy saving and carbon reduction has great potential. In this paper, typical TMB in cold areas are selected and built, and energy consumption is simulated by Designbuilder. The calculation boundaries and carbon emission factors of carbon emissions are set according to current standards, and the carbon reduction potential of green science and technology museum buildings (GTMB) under different levels is compared. The results show that compared with the benchmark building based on GB 55015-2021, the carbon emission of the GTMB is significantly reduced, and the carbon emission reduction rates of silver, gold, and platinum TMB are 7.9%, 13.4%, and 29.6%, respectively. Based on the existing optimization design of passive measures such as natural ventilation and natural lighting, the GTMB should pay more attention to the realization of its optimal control strategy and automatic control. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to identify the capacity needs of building professionals to deliver environmentally sustainable buildings (ESBs) globally, from a unique systems approach. Through a review of extant literature, this study contributes to knowledge of the global delivery of ESBs by identifying research trends and gaps that can be tackled in future research, and current hotspots in capacity building (CB) research within the built environment (BE). The adopted systems approach to CB postulates that the construction industry is systemized in nature, and thus, CB solutions within the industry should be approached from a systems approach. Design/methodology/approach: A literature search was conducted using the Scopus search engine, augmented by Google Scholar and Web of Science, to produce 54 relevant articles for analysis. The scientometric analysis was undertaken with the use of VOSViewer to better understand the broad literature on CB in the construction industry which would not have been possible with traditional data analysis. The content analysis allowed, for a systematic review of selected articles, to reveal key themes in this study. Findings: Through a content analysis, four levels of CB were identified within the construction industry; individual level, organizational level, industry level and state level. Nine sub-capacities were subsumed under the four identified levels adopted from Potter and Brough (2004), including but not limited to Performance capacity, Workload capacity, Supervisory capacity, Industry Role capacity and Systems capacity. Under each sub-capacity, key questions were posed to aid identify the capacity needs of BE professionals. A framework for identifying capacity needs in the BE is proposed. Practical implications: The findings of this study serve as a useful reference for practitioners and policymakers to assess their level of commitment to CB efforts for ESB delivery. The findings of this study have revealed that building the capacities of BE professionals to deliver ESBs should be addressed as part of a broader framework, interdependent on the other levels of CB in the systemic construction industry. Originality/value: As a review study identifying capacity needs for BE professionals to deliver ESBs, this study enhances knowledge of CB within the construction industry. [ABSTRACT FROM AUTHOR]

Research on themes related to green buildings is very important because it relates to building environmentally friendly buildings that prioritize sustainability. However, Green Building and Sustainable Development Goals (SDGs) research tends not to be comprehensive because it only relates to building construction and energy efficiency. For this reason, this research will discuss various things about green buildings and criticize what has been analyzed, whether it is still appropriate or not, considering current conditions that already use wireless and IoT technology. Through literature review techniques, this research examines themes related to the civil sector and the implementation of Green Building goals and SDGs. The Systematic Literature Review (SLR ) method is used. Namely, in-depth criticism and evaluation of previous research carried out systematically by applying applicable standards, using the Viosviewer and Publish and Perish applications. This method examines research results published in journals in a particular field. Literature reviews discuss previous research that meets SDGS objectives and is related to the civil sector. This research used 300 earlier studies with a research period ranging from 2010-2023 or 14 years. The research results show that the theme that is often raised is green materials and technology. The use of technology to measure building performance and energy efficiency is the most widely discussed theme. However, the analysis of Green Building and SDGs is rarely linked to IoT technology, saving water use, rainwater utilization, environmentally based wastewater management, and green building education, even though this is closely related to cost efficiency, energy efficiency, and speed, in communicating to achieve SDGs goals.

To save energy, according to two aspects of the Sustainable Development Goals (SDGs), namely Sustainable Urban Development (SDG 11) and Climate Change (SDG 13), concrete efforts that can be made are increasing energy efficiency and conservation, reducing greenhouse gas emissions, and strengthening resource sustainability. One of the initial efforts that can be made to increase energy efficiency and conservation is by applying Building Information Modeling (BIM) for energy simulation in building structures. One of the BIM-supporting software that can be used in energy simulations is Autodesk Revit, which functions for architectural, structural, mechanical, electrical, and plumbing (MEP) modeling, and Autodesk Green Building Studio, which is a cloud-based media for conducting simple simulations of building performance so that various aspects of its energy can be analyzed for assessment. The Green Building aspect assessment of GBCI used is the GREENSHIP Existing Building Ver1.1 parameter, taken from the Energy Efficiency and Conservation (EEC) aspect, which is a quantitative assessment and can be modeled. The results of the EEC aspect assessment using a quantitative assessment tool obtained a value of 5 points from a total maximum value of 28 points. This value indicates that the 1 Park Residence Building is a building that has not implemented Green Building and requires actions that support the sustainability aspect of the building.

Abstract The global energy crisis has been one of the significant challenges for decades, threatening the global economy, and the health of our environment. The government's efforts to enhance the welfare and lifestyle of citizens have been partially undermined by a significant rise in energy intensity, resulting in increased energy consumption. Over the years, researchers have utilized historical energy consumption data to enhance energy efficiency through various technologies. Innovative smart technologies drive energy efficiency, reducing energy usage throughout all areas of the energy industry, from production and supply to consumption. This creates a balance in all sectors and indicates a decrease in energy demand in all areas of building infrastructure. Green buildings that utilize Internet of Things (IoT) technology employ sensors and software to collect data, optimizing, and enhancing building performance. This includes reducing energy and electricity consumption, improving air quality, and optimizing lighting throughout the day. These buildings can contribute to reaching zero‐energy building targets. It becomes challenging to manage green buildings without using centralized control. Therefore, managing and integrating these buildings with intelligent technologies is vital in achieving environmentally friendly management. This study offers a broad overview of the green building concept and explores the use of the green IoT in enhancing services and conserving energy within green buildings. The article aims to deliver an extensive review of green buildings and their advantages, analyze the technology behind the IoT and its integration with solar panels to lower energy consumption, and ultimately identify the challenges present in this area of research.

Abstract A green building (GB) is a design idea that integrates environmentally conscious technology and sustainable procedures throughout the building’s life cycle. However, because different green requirements and performances are integrated into the building design, the GB design procedure typically takes longer than conventional structures. Machine learning (ML) and other advanced artificial intelligence (AI), such as DL techniques, are frequently utilized to assist designers in completing their work more quickly and precisely. Therefore, this study aims to develop a GB design predictive model utilizing ML and DL techniques to optimize resource consumption, improve occupant comfort, and lessen the environmental effect of the built environment of the GB design process. A dataset ASHARE-884 is applied to the suggested models. An Exploratory Data Analysis (EDA) is applied, which involves cleaning, sorting, and converting the category data into numerical values utilizing label encoding. In data preprocessing, the Z-Score normalization technique is applied to normalize the data. After data analysis and preprocessing, preprocessed data is used as input for Machine learning (ML) such as RF, DT, and Extreme GB, and Stacking and Deep Learning (DL) such as GNN, LSTM, and RNN techniques for green building design to enhance environmental sustainability by addressing different criteria of the GB design process. The performance of the proposed models is assessed using different evaluation metrics such as accuracy, precision, recall and F1-score. The experiment results indicate that the proposed GNN and LSTM models function more accurately and efficiently than conventional DL techniques for environmental sustainability in green buildings.

The construction industry's rapid growth significantly impacts energy consumption and environmental health. It is crucial to develop optimization strategies to enhance green building energy efficiency and encompass comprehensive analysis methods. This study aims to introduce and validate a novel framework for optimizing energy efficiency design in green buildings by integrating Building Information Modeling (BIM) technology, Life Cycle Cost (LCC) analysis, and orthogonal testing methods, focusing on enhancing energy efficiency and reducing life cycle costs. The optimization parameters for the building envelope are identified by analyzing energy consumption components and key green building factors. The orthogonal testing method was applied to streamline design options. Building Energy Consumption Simulation (BECS) software and LCC analysis tools were employed to calculate each optimized option's total annual energy consumption and the current life cycle costs. Using the efficiency coefficient method, each optimization scheme's energy consumption and economic indicators were thoroughly analyzed. The framework's validity and applicability were confirmed through an empirical analysis of a campus green building case in Fujian Province, demonstrating that the optimized framework could reduce energy consumption by 4.85 kWh/m2 per year and lower costs by 38.89 Yuan/m2 compared to the reference building. The case study highlights the framework's significant benefits in enhancing environmental performance and economic gains. The results provide critical parameter selection and offer scientific and technological support for the design of building energy efficiency, promoting optimization techniques and sustainable development within the construction industry. [ABSTRACT FROM AUTHOR]

Abstract Green building (GB) techniques are essential for reducing energy waste in the construction sector, which accounts for almost 40% of global energy consumption. Despite their importance, challenges such as occupant behavior and energy management gaps often result in GBs consuming up to 2.5 times more energy than intended. To address this, Building Automation Systems (BAS) play a crucial role in enhancing energy efficiency. This research develops a predictive model for GB design using machine learning to minimize energy consumption and improve indoor sustainability. The dataset is utilized to predict cooling and heating individually, with data visualization by graphically illustrating dataset features and preprocessing through Z-Score normalization and dataset splitting. The proposed model, based on active learning and utilizing ML regressors such as Random Forest (RF), Decision Tree (DT), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), CatBoost (CB), Light Gradient Boosting Machine (LGBM), K-Nearest Neighbor (KNN), and Logistic Regressor (LR), shows significant performance improvements. The CBR-AL model achieves impressive results with values of 0.9975 for cooling (Y1) and 0.9883 for heating (Y2), indicating a high level of accuracy. The model’s success in reducing energy consumption and improving sustainability has potential ripple effects, including substantial cost savings, reduced carbon footprints, and improved operational efficiency in green buildings. This approach not only enhances environmental sustainability but also sets a benchmark for future advancements in predictive modelling for energy management.

Green building’s development reduces the reliance on fossil fuels and reduces the total negative environmental effect. The main objective of this research is to develop a model for the implementation of green practises in the public sector constructions in India. We aimed to assess local construction professionals' knowledge and comprehension of green building construction in the public sector by distributing an empirical questionnaire to them. Participants were asked to rate their knowledge, understanding, and importance of the eight withholding factors and six contributing factors identified in the seminal literature. We use analysis techniques like descriptive and factor analysis such as descriptive and factor analyses to analyse the survey responses. A comprehensive model proposed to facilitate the purpose of promoting the successful adoption of green building practises within India's public sector construction projects was primarily based on the insights gained from factor analysis. Based on the findings of this study, the author suggests a model for implementing green building techniques in Indian public sector constructions. The model discusses obstacles to green building initiatives, considers implementation variables, and offers suggestions such as policy ease, and green building promotion.

Future viability depends on ensuring a sustainable society because green energy methods may efficiently reduce greenhouse gas emissions. Nevertheless, stakeholders, consumers, and developers continue to be notably ignorant of the financial incentives connected to green technology. Moreover, there is still a dearth of studies on the range of financial incentives offered by different authorities in India. Monetary incentives, such as tax breaks, indirect tax exemptions, and refunds, are crucial in encouraging the use of green technology in the modern world. This study explores the importance of financial incentives for green building technologies in India, which also looks at the wide range of incentives provided by federal, state, and local governments. Furthermore, the study highlights various state government programs such as goods subsidies, exemptions from local taxes, and fee waivers. Notably, several incentives aimed at consumers, developers, and other stakeholders have been implemented by the Indian Green Building Council (IGBC). This review study emphasizes the effectiveness of financial incentives in green construction projects and draws attention to a clear knowledge gap regarding the adoption of green technology. This study also provides insights into potential future directions. Studies and research results emphasize the importance of spreading the word about financial incentives as a key factor in determining the adoption of green technologies. Many parties, including governmental organizations, municipal governments, developers, and clients engaged in green building technology projects, stand to gain increased awareness.

Green building (GB) techniques are essential for reducing energy waste in the construction sector, which accounts for almost 40% of global energy consumption. Despite their importance, challenges such as occupant behavior and energy management gaps often result in GBs consuming up to 2.5 times more energy than intended. To address this, Building Automation Systems (BAS) play a crucial role in enhancing energy efficiency. This research develops a predictive model for GB design using machine learning to minimize energy consumption and improve indoor sustainability. The dataset is utilized to predict cooling and heating individually, with data visualization by graphically illustrating dataset features and preprocessing through Z-Score normalization and dataset splitting. The proposed model, based on active learning and utilizing ML regressors such as Random Forest (RF), Decision Tree (DT), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost), CatBoost (CB), Light Gradient Boosting Machine (LGBM), K-Nearest Neighbor (KNN), and Logistic Regressor (LR), shows significant performance improvements. The CBR-AL model achieves impressive results with values of 0.9975 for cooling (Y1) and 0.9883 for heating (Y2), indicating a high level of accuracy. The model’s success in reducing energy consumption and improving sustainability has potential ripple effects, including substantial cost savings, reduced carbon footprints, and improved operational efficiency in green buildings. This approach not only enhances environmental sustainability but also sets a benchmark for future advancements in predictive modelling for energy management. [ABSTRACT FROM AUTHOR]

This study examines sustainability compliance in Southeast Nigeria, a region experiencing rapid economic, social, and environmental changes. The research uses a mixedmethods approach to collect both quantitative and qualitative data from various stakeholders, including enterprises, governments agencies, civil society organizations, and local communities. The findings reveal a complex landscape of sustainability compliance, highlighting gaps and barriers such as inadequate regulatory frameworks, limited resource access, and a lack of awareness and capacity-building initiatives. Additionally, cultural and societal factors significantly influence attitudes and behaviours towards sustainability. The study emphasizes the importance of context-specific approaches to sustainability compliance in a region characterized by unique socio-cultural and economic dynamics. It provides recommendations for policymakers, businesses, and civil society organizations to foster greater sustainability awareness, promote responsible practices, and create an enabling environment for sustainable development. Further research and collaborative efforts are needed to address these challenges and advance sustainability objectives in the Southeast region. [ABSTRACT FROM AUTHOR]

The New Zealand Building Code mandates maintaining habitable spaces and bathrooms in elderly homes at a minimum internal temperature of 16°C with adequate ventilation. This study assesses the thermal wintertime performance of 40 subsidized apartments designed for older residents within a 7-Homestar certified building in Auckland. The building performs well, falling below the 16°C threshold only 5 per cent of the time across all units. However, inconsistencies exist, particularly on the top floor (Level 3), which is colder than other levels. This reveals a potential flaw in the typology approach of green certifications, like Homestar, where certifying a single dwelling within an apartment building does not guarantee uniform thermal performance across all units. [ABSTRACT FROM AUTHOR]

Due to the rapid advancement of technology, environmental sustainability education has gained significant attention. This study aimed to explore the effect of the metaverse on green building concept learning, creative design performance, and learning engagement. This research was conducted with 61 students from a public high school, employing a quasi-experimental design with nonequivalent groups. The experimental teaching theme was green building education, where the experimental group used online metaverse with Minecraft-assisted teaching, while the comparison group used internet images for assistance. Our research results were as follows: 1. The metaverse had a large effect size on the example dimension of concept learning but no significant effect on the linkages, hierarchical structures, or cross-linking terms. 2. The metaverse significantly enhanced creative design performance, including value, usability, novelty, and elaboration. 3. The metaverse had a significant effect on learning engagement, particularly in learning attitudes. [ABSTRACT FROM AUTHOR]

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With the continuous increase in building energy consumption, the problem of low energy utilization efficiency, especially concerning windows accounting for approximately 40% of total energy loss, has become increasingly prominent and urgent. Electrochromic (EC) technology emerges as a promising solution capable of effectively regulating the transmittance and absorption of light. Notably, dual‐band EC smart windows (DESWs) offer a unique avenue to address this challenge by independently adjusting sunlight and heat entry, anticipated to significantly reduce energy consumption for internal lighting and temperature regulation in buildings. While the potential benefits of DESWs are substantial, research is still in its early stages, facing important obstacles that hinder progress. This review aims to enhance our comprehension of this technology by providing a detailed introduction to the fundamental features of DESWs, encompassing configuration, operating mechanisms, and parameters for performance evaluation. In particular, we explore potential methods and approaches to achieve independent modulation using single-component materials. Additionally, we analyze performance issues and challenges, pinpoint future development directions, and propose corresponding solutions. The purpose of this review is to expedite the research and development of DESWs, offering robust support for the creation of modern energy-efficient buildings and facilitating the transition of the construction industry towards more sustainable and efficient energy utilization. [Display omitted] • Overview of the emerging technology of dual-band electrochromic smart windows (DESWs) designed for the independent regulation of visible and near-infrared light. • Comprehensive exploration of recent advancements in typical single-component materials for DESWs, with a focus on their unique characteristics and potential applications in green building design. • Evaluation of the challenges encountered in DESWs research and proposed solutions, providing insights into future directions for advancing this technology. [ABSTRACT FROM AUTHOR]

"The greatest threat to our planet is the belief that someone else will save it." Well said by Robert Swa. This research paper focuses on this belief that we need to pay attention towards green initiative for environment conservation and energy efficiency as it is very essential for earth for long term sustainability. PCMC (Pimpri Chinchwad Municipal Co-orporation) has planned to spend Rs. 5000 crores on Green projects. One of Greenest and first in India Corporate Campus in World is Suzlon One earth situated in Magarpatta road, Hadapsar, Pune. This Campus is completely relying on renewable energy sources, utilizing a combination of hybrid wind turbines, solar panels, and photovoltaic cells for power generation. This studies depicts importance of green building initiative and by 2025, the majority of residential areas in PCMC are expected to transition into selfsustaining real estate developments. The PCNTDA (Pimpri Chinchwad New Town Development Authority) has outlined a structured, forwardthinking, and eco-conscious approach to real estate development in PCMC. [ABSTRACT FROM AUTHOR]

This study examines the non-institutional factors that affect the green building premium (GBP). Residential properties are chosen for empirical analysis since they are free from institutional factors such as corporate social responsibility (CSR). The study adopts both Mahalanobis Distance Matching (MDM) and Propensity Score Matching (PSM) to identify the treatment observations (buildings with a green building certificate) and the control observations (non-green buildings). The results are robust across the two methods. The study found that residential buildings with green certificates command a premium and that this premium does not decline over time, which suggests that consumers are willing to pay a GPB in the absence of institutional mandatory requirements. Furthermore, the GBP is higher but with a slower growth rate in higher-income areas, which is consistent with the post-materialist value theory and the prosperity or affluence hypothesis. [ABSTRACT FROM AUTHOR]

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Copyright of South Architecture / Nanfang Jianzhu is the property of South Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The construction of green buildings is an important direction for the transformation and development of the construction industry, but it is beset with problems such as a lack of construction experience, immature new technologies, and unstable material properties; these issues bring risks to the construction stage of green buildings, and the coupling of uncertain risk factors in the construction process of green buildings may lead to unfavorable results. The purpose of this study is to explore the coupling degree of green building construction safety risk factors and the changing trend in their coupling combinations at the system risk level. First, the risk factor index system was defined by reading the literature and gathering expert opinions, and the coupling degree between risk factors was measured using an improved coupling degree model. Then, a system dynamics model was established to simulate and analyze the coupling effects among the risk factors and determine the combinations with the greatest influence. The results show that the risk probability is proportional to the risk coupling value, the human–environment coupling value is the largest, and the material equipment–management coupling value is the smallest. The human–environment system simulation shows that reducing the coupling value of system factors will promote a decrease in the total level of system risk. According to the research conclusions, measures to prevent risk coupling are proposed, which offer theoretical references for green building practitioners carrying out risk management; these measures hold a certain guiding significance for the risk control and future development of green buildings. [ABSTRACT FROM AUTHOR]

Green buildings are more effective in saving energy and reducing carbon dioxide emissions than conventional buildings. However, the long-term development of green buildings depends heavily on the resilience of their supply chain. This study examines how capability factors (readiness, response, and recovery) and risk factors (technological, organizational, and environmental) interact to influence the resilience of the green building supply chain, using a third-order partial least squares structural equation model. The results indicate that response capability and technological risk significantly impact resilience, while readiness capability mitigates organizational and environmental risks. The study suggests three strategies to enhance supply chain resilience: strengthening readiness capabilities and increasing resistance to organizational or environmental risks. The findings provide green building project managers with practical insights and tools to make informed decisions that improve supply chain resilience. [ABSTRACT FROM AUTHOR]

This article explores the promotion of indoor environmental quality (IEQ) principles in building design, specifically focusing on quantity surveying (QS) firms in Nigeria. The study identifies measures to encourage the adoption of IEQ principles, such as financial incentives, educational resources, clear reporting mechanisms, awards and recognition programs, and advocacy campaigns. These measures are categorized into four clusters: education and training, policy and regulation, incentivization and recognition, and collaboration and networking. The article also highlights the importance of smart building technologies and the design of building services and systems in optimizing IEQ. The findings provide valuable insights for policymakers, construction industry professionals, and stakeholders interested in promoting IEQ principles. The EPIC framework outlined in the article offers practical guidance for prioritizing IEQ principles and contributing to sustainable building practices. However, the study acknowledges the need for further research and a larger sample size. Overall, the article emphasizes the importance of incorporating IEQ principles in building design to improve occupant satisfaction and well-being. [Extracted from the article]

In implementing the development of green building projects, various obstacles often arise due to the risks that occur. Where this results in the performance, quality and achievement of work results not being achieved as expected. The aim of this research is to determine the dominant technical risk factors that occur during the construction of green buildings in the field and to determine the application of risk management in construction projects. In this research, risk identification, risk analysis and risk response were carried out in several green building developments in the city of Semarang. The research method used was by survey, distributing risk factor questionnaires and actions on risk factors to construction supervisor/management consultants. Assessment of the ranking of risk factor questionnaires and actions on risk factors using the Relative Importance Index (IKR). [ABSTRACT FROM AUTHOR]

This research conducted focused on the Grati Hospital Building, which is an effort to mitigate global warming by evaluating the building in terms of green building principles. This is because the building is newly constructed and located in an industrial area with a dense population, making it suitable for a case study. The aim is to evaluate the RSUD Grati Hospital building based on the Green Building concept by applying Greenship assessment simulations. This research is classified as quantitative research, focusing on direct observational methods with reference to the Greenship Rating Tools, specifically version 1.2 for newly constructed buildings. The simulation results of the evaluation conducted on the RSUD Grati Hospital building are as follows: (1) Land Use Efficiency scores 7 points, (2) Energy Efficiency and Conservation scores 8 points, (3) Water Conservation scores 10 points, (4) Material Resources and Cycle scores 8 points, (5) Indoor Health and Comfort scores 6 points, (6) Building Environmental Management scores 4 points. Based on the points obtained, the overall rating is Bronze, with a score of 43 points or 42.57%, ranking fourth out of four ranks available, thus qualifying the building as a green building. The distinctive feature of the RSUD Grati Hospital building in implementing green building principles lies in its electricity and water conservation efforts, as reflected in the Energy Efficiency and Water Conservation categories. [ABSTRACT FROM AUTHOR]

In urban areas facing water stress, rainwater harvesting is essential. This paper proposes a passive rainwater harvesting system as a viable alternative for ensuring a clean water supply. The study introduces an innovative and original design for rainwater harvest. The presentation of the system is performed by analysis of efficiency and reliability of the system analytically. The optimal storage volume is determined through a 22-year precipitation data analysis using the mass balance method, ensuring high efficiency. Payback periods for various consumptions and tank sizes are calculated, showing shorter periods compared to active systems since the proposed system does not use electrical energy. The results demonstrate that 350 m3 of storage volume can assure 99% efficiency when potable water consumption is 0.01 m3/person/day. The payback period of the system was calculated to be between 5 and 10 years. The proposed system can be considered as an appropriate rainwater harvest alternative for existing buildings. [ABSTRACT FROM AUTHOR]

Copyright of Guangdong Architecture Civil Engineering is the property of Guangdong Architecture Civil Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the development of residential property development nowadays, is growing rapidly. This is also influenced by the increasing need of the population for housing on increasingly limited land, so the government is trying to develop vertical housing. Amid increasingly poor air quality, many people are considering healthy and clean housing. The current condition of apartments as multi-story residences is often faced with crucial energy performance problems. One of the most common examples is hygiene factors and indoor thermal discomfort caused by daily activities of temperature changes and vertical temperature stratification. In response to the two problems above, developers are trying to get buildings with green building certification from GBCI as one way to create green housing. This study aims to create parameters for assessing the performance of conventional apartments and Green Building-certified apartments in tropical areas in several aspects, especially in Indonesia. as a consideration in reviewing the cleanliness and health of an apartment. The data collection method used is a literature study from several related sources. [ABSTRACT FROM AUTHOR]

This study presents an in-depth investigation into the intersection of Building Information Modeling (BIM) and green building practices within China's rapidly evolving construction industry. As China intensifies its efforts to mitigate environmental impacts and promote sustainable growth, the integration of BIM into green building practices emerges as a crucial area of study. A qualitative research method was adopted in this research. In the first step, utilizing semi-structured interviews with a diverse array of industry professionals, this research provides nuanced insights into the current state and prospects of BIM in the green building landscape. Secondly, thematic analysis is used to formalize the views and points from interviewees. Finally, a novel conceptual framework is proposed, addressing these challenges through technological innovation, supportive policies, cultural and educational reform, economic incentives, and collaborative dynamics. This study contributes a systematic approach to amalgamate BIM with sustainable construction, offering insights for industry professionals and policymakers to promote environmentally conscious building practices in China. [ABSTRACT FROM AUTHOR]