Green Building Design Research Articles

SUSTAINABLE MATERIALS IN CONSTRUCTION

The construction industry is one of the largest exploiters of both renewable and non- renewable natural resources. It was inevitable that it would find itself at the centre of concerns regarding environmental impact. The process and operation of building construction consumes a great deal of materials throughout its service life cycle. The selection and use of sustainable building materials play an important role in the design and construction of green building. This chapter sets out to present an overview of sustainable building materials and their impacts on the environment. Materials used for the structure of buildings require properties of strength, whereas other parts, such as the envelope, are selected for their insulation or aesthetic properties. Comparisons become more complex when materials perform more than one function such as load-bearing walls that provide good thermal insulation. There is also a need to distinguish between finite resources and renewable resources when reviewing the sustainability of a material. Some materials, despite being non-renewable may be considered plentiful on earth; however, the consequences and impacts of mining them may be considered unacceptable. The effect of construction material selection will impact upon sustainability throughout the lifetime of both the material and that of the building itself. The need to maintain the building, replacing individual components, disposing of the old, and procuring the new will have environmental impact from cradle to grave. Keywords: Sustainable material, concrete, maintain, selection, renewable resource

Application Research of Green Building Design Based on BIM Technology

This paper aims to investigate the application of Building Information Modeling (BIM) technology in green building design. Green building design, as a sustainable architectural design concept, holds significant environmental and economic benefits. Meanwhile, BIM technology, as a tool for digital modeling and collaborative work, provides new possibilities for green building design. This study explores the application effectiveness, challenges, and opportunities of BIM technology in green building design through case analysis. The research findings demonstrate that green building design based on BIM technology can enhance design efficiency, optimize resource utilization, reduce environmental impact, and contribute to the sustainable development of the construction industry. However, this application still faces challenges regarding technology, data consistency, and collaboration mechanisms. Future research should focus on addressing these challenges to further promote the development of green building design based on BIM technology.

Green building progress assessment: analysis of registered and certified buildings for LEED rating system

Green buildings are of great importance to overcome climate change effects and the depletion of natural resources. This paper aims to provide a review of the progress in green building constructions that have used the LEED (Leadership in Energy and Environmental Design) rating system for the last two decades. To do this the researchers have analyzed the data of around 61000 LEED-registered buildings (from the U.S. Green Building Council (USGBC) website) Using Google data analysis module studying different factors affecting green building growth and trying to spot any possible correlation between LEED and each factor. The review will provide the researchers and the construction industry with the necessary information about the analysis of green building development. The results showed the trends in the green building progress and provided insight analysis for the reasons behind this progress which can help rating system developers, green building designers, and governmental decision-makers, to promote green building worldwide.

A Review - Green Building and Energy Efficient Design

Abstract: The rapid expansion of infrastructure plays a pivotal role in a nation’s progress, yet this growth must integrate with environmental concerns. Pollution primarily resulting from construction activities, factories, and industries, significantly impacts the environment. The construction sector, accounting 40% of air pollution, heavily contributes to this issue through material production and transportation. Co2 emission which adversely affects the ozone layer, and leads to global warming, impacts on both the human and environment living condition. While complete shutoff of emission is unfeasible, adopting sustainable practices, such as constructing green building, using of eco-friendly materials, offers a feasible solution.

Predictive modeling of carbon emissions in Jiangsu Province's construction industry: An MEA-BP approach

Understanding and predicting carbon emissions in the construction industry is crucial for sustainable development planning. In this study, we employed the GM(1,1) model and the Mind Evolution Algorithm (MEA) to optimize the BP neural network model and forecast carbon emissions in Jiangsu Province from 2022 to 2026. Using data related to energy consumption and building material usage in the Jiangsu construction industry from 1995 to 2021, we estimated carbon emissions using the life cycle assessment method and IPCC carbon emission coefficient method. Additionally, we utilized the STIRPAT model and Principal Component Analysis (PCA) to select and reduce important variables, identifying three principal components. Subsequently, the MEA-BP model was employed to provide detailed forecasts of carbon emissions over the next five years, revealing a declining trend in carbon emissions from the construction industry. The study thoroughly analyzed the direct and indirect impacts of population growth, economic development, and industrial restructuring on carbon emissions, proposing targeted policy recommendations including sustainable urban planning and green building design. Future research could enhance the applicability and accuracy of the model by expanding the dataset and considering more uncertainty factors. This research offers valuable insights into the trends and influencing factors of carbon emissions in the construction industry of Jiangsu Province, providing guidance for policymakers and future research directions.

Retraction Note: Dominator tree data flow cognitive analysis for green public building design

Retraction Note: Dominator tree data flow cognitive analysis for green public building design

Triangular Fuzzy QFD–MCDM Combination Approach for Green Building Design Scheme Evaluation

The integration of green design into building construction is a necessary process in today’s world to address environmental issues and achieve sustainable development. However, when evaluating green building design schemes, various factors are intertwined with a high degree of complexity and uncertainty. To realise rational decision-making about green building design schemes, this paper first adopts the mixed techniques of triangular fuzzy numbers, quality function deployment, and Best–Worst Method. It aims to analyse the complex factor relationship between customer needs and green building design technical features and to solve the optimal green building design index weight allocation. Next, a hybrid fuzzy multi-criteria decision-making (MCDM) method integrating triangular fuzzy numbers, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, and Grey Correlation (GC) are proposed to evaluate green building design scheme performance. Finally, an example of a green design project for a hotel building is selected for application validation and analysis in comparison with the existing Complex Proportional Assessment, VlseKriterijuska Optimizacija I Komoromisno Resenje, and DEMATEL-ANP methods. These analyses demonstrate the stability and validity of the results, as well as the rationality and practicability of the proposed triangular fuzzy QFD–MCDM method. This research is a guide to the problem of evaluating green building design schemes.

Green Residential Building Design Scheme Optimization Based on the Orthogonal Experiment EWM-TOPSIS

A multi-objective decision method is proposed based on the combining orthogonal test, entropy weight method (EWM) with TOPSIS (technique for order preference by similarity to an ideal solution) in this article. The method is more objective and efficient than traditional methods in the design of green residential buildings. A villa in Nanjing was taken as an example, and the cost, building energy consumption, and daylight factors were used as decision-making indexes. A total of six control factors were selected: terrain elevation, window area, building orientation, the opening ratio of exterior windows, roof structure, and window glass material. Each factor was designed with three levels. First, a design scheme index system was constructed, and the orthogonal experimental design was used to select representative design schemes. Then, the EWM and the TOPSIS method were used to determine the weight of each index, a comprehensive evaluation of the residential building design scheme was conducted, and, finally, the optimal scheme was confirmed via range analysis. The results show that the multi-objective decision-making model based on the orthogonal experiment EWM-TOPSIS is suitable for green residential building design and the optimal solution obtained is “15 m elevation, a 1200 × 1500 mm size vacuum glass, an orientation of 170° and an external window opening ratio 45% with a 40 mm thick expanded insulation board roof”.

The Impact of Sustainable Development and Spatial Rationality Planning of Urban Buildings Under the Guidance of Local Government Policies: Environmental Policy and Green Building Design Principles

In order to explore the relationship between the sustainable development of urban buildings and spatial rationality planning under the guidance of local government policies, this paper takes Beijing, Shanghai, and other regions as examples to conduct a questionnaire survey literature, analyzes environmental policies and green building principles, and puts forward several hypotheses based on relevant literature. Spatial rationality planning has an impact on the sustainable development of cities. Environmental policies and green building design principles have a constraining effect on the sustainable development of cities. Government policies can ensure the sustainability of urban building development and promote the rational distribution of space. The results show that there is an inevitable relationship between the rational spatial layout and the sustainable development of urban buildings, and environmental policy and green building design principles can promote the rational planning of space. Government policies can guide the rational layout of space and improve the sustainable development of cities. Therefore, spatial rationality planning is the main factor for the sustainable development of the city, government policy is the external factor, and environmental policy and green building design are the constraints. From the perspective of environmental policies and green building principles, local governments should guide spatial rationality planning to improve the sustainable development of buildings.

Editorial: Innovative materials and optimization methodologies for green building design and construction

Editorial: Innovative materials and optimization methodologies for green building design and construction

Assessing the efficacy of green building design strategies in minimizing energy consumption in commercial buildings of Mumbai: A building performance analysis

This research paper investigates the effectiveness of green building design strategies in minimizing energy consumption in commercial buildings in the bustling metropolis of Mumbai, India. With a rapidly urbanizing and densely populated environment, Mumbai presents a unique setting for assessing green building practices. The research objectives focus on understanding the impact of various green building design features, such as green roofs, solar panels, and floor area optimization, on energy efficiency in commercial structures. The research employs a robust methodology, incorporating regression analysis to analyze data obtained from the Mumbai Municipal Corporation's building energy consumption records. Through this analysis, the study investigates the relationships between green building design parameters, building characteristics, and energy consumption patterns. Key findings indicate that specific green building features, including intensive and biodiverse green roofs and solar panel installations, significantly reduce energy consumption. Additionally, older buildings tend to exhibit lower energy consumption, emphasizing the need for retrofitting existing structures with energy-efficient solutions. The study also underscores the role of occupant density in influencing energy efficiency, with higher occupant rates leading to more efficient space utilization and energy use. The implications of this research are far-reaching, offering insights into tailoring green building strategies to the specific challenges posed by densely populated urban areas. These findings hold significance for sustainable urban development, policy formulation, architectural design, and the global effort to mitigate climate change.

Research on Green Building Design Optimization Based on Building Information Modeling and Improved Genetic Algorithm

The energy consumption of the construction industry has been increasing year by year, posing a huge challenge to China’s dual carbon goals of peaking carbon emissions and achieving carbon neutrality. The Chinese construction industry has huge potential for energy conservation and emission reduction, and the government has therefore put forward requirements for constructing green buildings and formulated strict evaluation standards. The carbon emissions of the construction industry involve various stages of the entire life cycle and are closely related to the green building design standards that meet the requirements. This article sets multiple objective functions based on the two dimensions of the carbon emissions of the entire life cycle of buildings and green building evaluation and uses the NSGA-II algorithm in genetic algorithms to optimize ten indicators selected from the two objectives. Based on this, building information modeling (BIM) modeling was carried out for an office building project in Southwest China, and energy consumption analysis and evaluation were conducted based on the project’s multidisciplinary model. The dialectical relationship between the carbon emissions of the entire life cycle of buildings and the green building evaluation values was discovered, and the optimized parameter combination scheme corresponding to the Pareto solution set was obtained, providing a reference for using improved genetic algorithms and BIM technology to optimize green building design.

Performance Model of Planning Consulting Companies in Green Building and Sustainable Design Planning Achievements

This study is a collaborative effort aimed at finding a performance model for a planning consulting firm for achieving green building and sustainable design planning. The method used in this research is qualitative, with SEM analysis tools to find an ideal model. The results of the study found the Planning Consulting Company's performance model in achieving sustainable and green building design planning. It was found that the first model patterned a positive relationship between the consulting company performance indicators and green building. Meanwhile, the second model shows a positive relationship between the Green Building Planning Consulting Company's performance indicators and sustainable development. The test results for the coefficient of determination (R-square) obtained from the first model are the influence of variables site management to wastewater management on the variable green building of 0.757 so that variable green building can be explained by variables site management to wastewater management of 75.7%. Other variables outside this study influence the remaining 24.3%. The coefficient of determination (R-square) obtained from the second model is the effect of the variables green building and site management to wastewater management on the variable sustainable development of 0.790, so the variable sustainable development can be explained by the variables green building and site management to wastewater management of 79%, and other variables outside of this study influence the remaining 21%. We invite you to be part of this collaborative effort and share your insights on these findings.

Multiobjective Optimization Method for Energy‐Saving Design of Green Buildings

Multiobjective Optimization Method for Energy‐Saving Design of Green Buildings

Intelligent Green Building Design and Management Based on the Internet of Things: An Empirical Study on Low Carbon Development

This article explores the application of Internet of Things technology in intelligent green buildings through empirical research, and analyzes its practical effects in improving building energy efficiency and reducing carbon emissions. The study adopted data collection and analysis methods, and the experimental results showed that IoT technology can effectively optimize building energy management and achieve low-carbon development goals. This article designed four experiments to explore the application of Internet of Things technology in the design and management of intelligent green buildings. In the energy consumption comparison experiment, after the implementation of the Internet of Things system, power consumption decreased from 1000 kWh/day to 800 kWh/day, water usage decreased from 650 liters/day to 500 liters/day, and natural gas consumption decreased from 400 meters ³/ Days reduced to 300 meters ³/ Heaven. In the indoor environmental quality monitoring experiment, after implementing the Internet of Things system, the average indoor temperature was maintained at 22°C, humidity was 50%, and CO2 concentration was reduced to 600 ppm. In the response efficiency testing experiment of the automation control system, the average response time of the system was 2 seconds, and the response accuracy reached 90%. In the final economic benefit analysis experiment, the total savings within one year after implementing the Internet of Things system reached 12267 US dollars. From the data conclusion, it can be seen that IoT technology can not only improve the energy and environmental management efficiency of buildings, but also have significant economic benefits, providing strong support for the development of green buildings.

Research on the Use of BIM Technology in Green Building Design Based on Neural Network Learning

Research on the Use of BIM Technology in Green Building Design Based on Neural Network Learning

Sustainable leadership practices in construction: Building a resilient society

While pivotal for economic growth, the global construction sector confronts critical challenges due to its resource-intensive practices and environmental impact. Leadership within this industry becomes essential as the imperative for sustainable development gains prominence. This study addresses a significant knowledge gap by investigating the nexus between sustainable leadership practices and the construction sector, focusing on Pakistan. A comprehensive framework is developed by combining literature review, expert analysis, and robust statistical methods. Data collection involved questionnaire involving 206 participants from construction industry professionals in Pakistan. The study examines the relation of green building design, certification standards, life cycle assessment, renewable energy integration, resilient infrastructure, social equity and inclusion, and waste management with sustainable leadership practices. The findings affirm the positive and significant relationships between these dimensions and sustainable leadership. The study contributes to academia and industry, offering a novel understanding of how sustainable leadership can drive resilient and eco-conscious practices in construction. These insights hold implications for shaping policies, fostering industry transformation, and creating a sustainable and resilient built environment for the future.

Building information modeling (BIM) in green buildings: a state-of-the-art bibliometric review

PurposeThis study evaluates the knowledge structure of building information modeling (BIM) in green buildings. Buildings are one of the main contributors to carbon emissions, and implementing BIM in green buildings is seen as an indispensable approach to mitigate environmental and climate change issues.Design/methodology/approachThrough a bibliometric analysis, 297 publications retrieved from the Web of Science (WoS) were analyzed to explore their intellectual structure.FindingsBibliographic coupling analysis produced four clusters on current and emerging trends, while co-word analysis produced four clusters on future BIM and green building trends. Current and emerging trends revolve around BIM adoption in green and existing buildings, life cycle analysis (LCA) and sustainable rating tools. Future trends related to BIM and performance analysis and optimization, the BIM framework for green building design and construction, overcoming barriers and maximizing benefits in BIM adoption.Research limitations/implicationsThe implications of this study are relevant to all BIM and green building stakeholders, including developers, engineers, architects, occupants, tenants and the whole community.Originality/valueThis study examines the crucial integration of BIM and green building within the more extensive construction and building field scope.

QUANTITATIVE APPROACHES IN ARCHITECTURAL DESIGN FOR USER-ORIENTED INDOOR ENVIRONMENTAL QUALITY

ABSTRACT Understanding indoor environmental quality (IEQ) and integrating indoor data into architectural design is a critical component of green building design for building occupants’ comfort and health. With a growing emphasis on creating healthy and comfortable indoor environments in green buildings, indoor data in architectural design has increasingly incorporated quantitative methods to analyze and optimize indoor environmental quality parameters. Data-driven design in architecture has been used as a decision-making approach to the green building design process; it has implications for the building occupants to voluntarily enhance their indoor environments and comfort. A higher degree of personal control for indoor environmental quality (IEQ) leads to higher satisfaction, energy savings, and productivity in work environments. IEQ data access related to thermal, visual, and acoustic comforts and indoor air enables occupants to acquire ownership of indoor controls, contributing to their comfort and task productivity. Undergraduate architecture students carried out a series of data-driven designs for IEQ monitoring and design integrations by conducting a field study, data collection, data analysis, and visualization, and linking findings to architectural proposals. Participating groups were requested to i) theoretically understand IEQ data parameters for four primary indoor environments, ii) experimentally conduct a field survey of target spaces, iii) numerically predict IEQ conditions by using diverse simulation tools and measurement devices, iv) graphically visualize IEQ findings, and v) finally integrate findings into the architectural design as a solutional proposal. The findings highlight that the potential of quantitative approaches in architectural design enhances students’ understanding of environmental contributors and design solutions for occupants’ comfort and health.

The Influence of Construction Project Management on the Planning and Design of Residential Green Buildings

<p>我國綠建築評估系統EEWH至今已有20年歷史，然而在住宿類建築當中綠建築標章案件數仍僅占總使用執照數量1%以下，標章案之總樓地板面積僅占總使用執照總樓地板面積20%以下，因此對於推廣綠建築之成果仍有進步空間。分析綠建築申請率低的原因，包含大眾認為綠建築之成本較高、綠建築標章之總建築專案期程較久、所需之審查資料繁多…等。再者，申請綠建築標章時之分數常少於申請候選綠建築證書時之分數，甚至有案件未申請綠建築標章。專案管理係指對於專案生命週期之各項工作項目予以妥善管理，以減少專案成果與預期目標的落差。於過往在建築業的案例與相關研究中，指出專案管理對於管控建築成本與工期具有實際績效，然而案例多為大型工程與廠辦類建築物，對於住宿類建築物之探討相對較少。故本研究先透過專家問卷探討建築專案管理管控綠建築指標項目之能力，以提出在專案管理思維下，設計住宿類綠建築時可優先考量採用之建築技術，以消除大眾對於綠建築在成本與時程上之顧慮。研究成果顯示，不同綠建築技術與設施設備之採用情形，對於建築專案的管控能力確實具有差異性。在EEWH-RS版本下之指標項目，以日常節能指標與二氧化碳減量指標下之指標項目，較能夠受專案管理管控。但綠化量指標、水資源指標以及汙水垃圾改善指標等，由於其技術已經成熟、成為標準配備或已規格化，致使專案管理對其無法具有較高的影響能力。研究成果係可協助建築設計師於住宿類綠建築規劃設計時，擬定出較易管控成本與時程之方案，進而提升業主採用綠建築技術與設施設備之意願。</p> <p> </p><p>Taiwan’s green building assessment system (EEWH) has a history of 20 years, but the number of green building label cases in residential buildings still accounts for less than 1% of the total number of Building Use permit, and the total floor area of the label cases are less than 20% of the total building which get Building Use permit. So there is still room for promoting the achievements of green buildings. Analyze the reasons for the low green building application rate, including the public’s view that the cost of green building is relatively high, the overall construction project period of the green building label is longer, and the amount of review information required is more than general building... Furthermore, the score for applying for a green building seal is often less than the score for applying for a candidate green building certificate. There are even cases where the green building seal is not applied. Project management refers to the proper management of various work items in the project life cycle to reduce the gap between project results and expected goals. In the past cases and related research in the construction industry, it was pointed out that project management has actual performance in controlling construction costs and duration. However, most of the cases are large-scale projects and factory buildings, and there is relatively little discussion on residential buildings. Therefore, in this study, an expert questionnaire will be used to discuss the ability of the construction project management to control the green building index project, in order to put forward the construction technology that can be considered first when designing residential-type green buildings under the project management thinking, so as to eliminate the public’s cost and schedule for green buildings Concerns. The research results show that the adoption of different green building technologies and facilities and equipment has indeed different management and control capabilities for construction projects. The indicators under the EEWH-RS version are more able to be controlled by the project management based on the daily energy saving indicators and the CO2 reduction indicators. However, the greenery indicators, water resource indicators and sewage and garbage improvement indicators, etc., because their technology has matured, become standard equipment or has been standardized, the project management cannot have a high influence on it. The research results can assist architects in the planning and design of residential-type green buildings, and draw up plans that are easier to control costs and schedules, thereby enhancing the owners’ willingness to adopt green building technologies and facilities.</p> <p> </p>