Sustainable Building Research Articles

A novel multi-objective generative design approach for sustainable building using multi-task learning (ANN) integration

Building Performance Optimization (BPO) plays a pivotal role in enhancing building performance, guaranteeing comfort while reducing resource consumption. Existing performance-driven generative design is computational demanding and difficult to be generalized to other similar buildings with difficult to be generalized to other building types or climate conditions. To fill this gap, this paper introduces a novel framework, which integrates multitask learning (MTL), code compliance check, and multi-objective optimization through NSGA-III algorithm. This framework is able to identify Paratoo Optimal design solutions, which comply with building codes, at low computation costs. The framework begins with selecting key design variables that are critical to building energy, comfort performance and life cycle cost. It then employs MTL to enhance the model's accuracy while reducing computational costs. Next, we designed a code compliance checking module followed by the NSGA-III optimization process, with the objective of identifying solutions that comply with existing building codes. The results indicate that the proposed MTL network achieved an R2 score of 0.983–0.993 on the test set. In the particular case study where equal weights are preferred, this approach yielded noteworthy reductions of 27.65%, 19.55%, and 31.13% in Building Energy Consumption (BEC), Life Cycle Cost (LCC), and Residue of continuous Daylight Autonomy (RcDA), respectively, for a rural dwelling, and exclude solutions that fail to satisfy regulatory standards. This framework allows designer to input the weights of each objective based on their preference and can be applied to other building types and climate regions. Last, we develop a solution selection tool based on the results output by the framework we proposed, which can be found at https://github.com/LiMingchen159/Village-House-Design-Strategy-in-Hebei-Province-China.

Assessing the readiness for sustainable building material adoption: a study from construction organizations of different sizes

Assessing the readiness for sustainable building material adoption: a study from construction organizations of different sizes

Dynamic material flow analysis of construction materials in Saudi Arabia: Strategies for sustainability of residential buildings

Globally, the expansion of building infrastructure has serious environmental implications due to emissions from cement and steel. The construction industry uses the vast majority of cement and steel produced globally and locally. Consequently, this paper proposes a model to estimate and mitigate future material flow emissions into residential buildings in Saudi Arabia. First, a dynamic material flow model is used to quantify material flows and stock in residential buildings. The evolution of Saudi housing stock and related steel and cement are simulated from 1950 to 2100. Second, various strategies such as material efficiency improvement, lifetime extension, and reducing production emissions are simulated to reduce emissions caused by cement and steel. The findings indicate that implementing substantial material efficiency improvements can result in 33 %–46 % reductions of cumulative steel and cement emissions from 2023 to 2100, respectively. Furthermore, improving material efficiency measures could result in over 80 % reductions in emissions for steel over the same period. Reducing the ratio of clinker to supplementary cementitious materials in cement to 75 % could reduce cumulative cement emissions by 129 million tCO2e (17 %). Adoption of high material efficiency practices in cement use, low clinker cement, and waste as fuel can reduce emissions by 70 %. The findings of this study contribute to a better understanding of future emissions from building materials used in residential buildings, as well as the impact of emission mitigation strategies on future emissions, which will help decision-makers and researchers develop policies and research.

Assessing residential sustainable energy autonomous buildings for hot climate applications

This paper introduces an innovative solution for clean energy autonomous building (AB) sustainability, offering a 5Z concept—zero-carbon, zero-energy, zero grid connections, zero energy bills, and zero emission mobility. This paper focuses on fundamental research to design sustainable, energy-ABs striving for self-sufficiency in arid climates, using Kuwait as a case study. The study highlights the importance of stringent engineering AB modeling, renewable technology integration, and clean energy storage. The technical approaches include characterizing non-thermal and thermal demands, achieving net-zero energy generation, and custom sizing renewable energy and energy storage systems (ESS) for electric vehicle (EV) charging points. The research methodology involves local construction with yearly weather and energy profile data to simulate the actual system using ESP-r building model. The study's findings reveal the need for a large-scale energy system, energy demand reduction (EDR) inclusive of heating, cooling, appliances, and EV, with the corresponding changes in local energy production system size, battery capacity, and the number of photovoltaics (PVs). The results show varying EDR levels ranging from base case to 10% and to 50% leading to proportional changes in energy system size, size of battery from 3415 kWh to 1710 kWh and the number of PVs from 362 to 181, which means EDR not only optimizes space but also proves cost-effective. The significant implication of this study, not only bridging the knowledge gap and the lack of how-know, but also making a significant advancement and forward thinking in sustainable green electric home modernization and environmentally friendly transportation. This approach transforms energy management practices for more sustainable cities and societies, reducing emissions in both urban infrastructure and transportation.

Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings

Excessive consumption of time and resources are the major challenges of conducting laboratory experiments to determine the mechanical properties of building/construction materials. There is a need to explore various prediction models for mechanical properties of construction materials. This study is aimed at using machine learning models to predict the compressive strength of stabilized bricks for sustainable buildings. Data for the independent variables generated from laboratory experiments were used for the compressive strength prediction. Several machine learning models were explored using Lazy Predict Python library. Extreme Gradient Boosting Regressor with the coefficient of determination (R2) score of 99.45% and root mean square error of 0.06 outperformed all the tested models. SHAP (SHapley Additive exPlanations) analysis was used to show the distribution of the impacts of the features on the predicted compressive strength. The SHAP analysis results showed that higher percentages of the stabilizers (with reference to 0%, 2%, 4%, and 6% of stabilizers) have a positive impact on the prediction of compressive strength of stabilized bricks. In addition, higher water content, lower lateritic soil contents, lower cube sizes and curing at higher values of temperature favoured the prediction of compressive strength of stabilized bricks. The proposed model can be adapted by civil engineers and researchers for the prediction of the compressive strength of agro-waste stabilized construction materials. The implication of this study will save the time and resources required by the construction professionals to obtain the compressive strength agro-waste stabilized bricks during the production of bricks for sustainable construction applications.

Polysaccharide Nanocrystals-Based Chiral Nematic Structures: From Self-Assembly Mechanisms, Regulation, to Applications.

Chiral architectures, one of the key structural features of natural systems ranging from the nanoscale to macroscale, are an infinite source of inspiration for functional materials. Researchers have been, and still are, strongly pursuing the goal of constructing such structures with renewable and sustainable building blocks via simple and efficient strategies. With the merits of high sustainability, renewability, and the ability to self-assemble into chiral nematic structures in aqueous suspensions that can be preserved in the solid state, polysaccharide nanocrystals (PNs) including cellulose nanocrystals (CNCs) and chitin nanocrystals (ChNCs) offer opportunities to reach the target. We herein provide a comprehensive review that focuses on the development of CNCs and ChNCs for the use in advanced functional materials. First, the introduction of CNCs and ChNCs, and cellulose- and chitin-formed chiral nematic organizations in the natural world, are given. Then, the self-assembly process of such PNs and the factors influencing this process are comprehensively discussed. After that, we showcased the emerging applications of the self-assembled chiral nematic structures of CNCs and ChNCs. Finally, this review concludes with perspectives on the challenges and opportunities in this field.

Advanced Technologies on Indoor Environment Quality in Sustainable Buildings

With the improvement of living standards and the enhancement of health awareness, Indoor Environmental Quality (IEQ) has become a hot topic of concern for the public and researchers [...]

Analysis of the Impact of Renewable Energy Application on the Cost of Green Building Projects

Green building is a sustainable ecological building, and the application of renewable energy to green buildings can protect the ecological environment and reduce energy consumption to a certain extent, so this paper makes an in-depth analysis of the impact of renewable energy application on the cost of green building projects. Firstly, the grey correlation analysis was used to analyze the characteristic indicators of renewable energy applied to the cost of green building projects, and the estimation index system of green building projects was constructed. Then, the improved genetic algorithm was used to construct the explanatory variables and control variables of green building project cost control, the variation factors of green building project cost control were analyzed through principal component analysis, and the elastic modulus and regression discriminant method were combined to complete the impact analysis of renewable energy application to green building project cost. The simulation results show that the algorithm can effectively reduce the economic cost of green buildings, ensure the quality of buildings, and protect the natural ecological environment.

Sustainable Performance of Industrialised Building Systems in the Construction Phase

The Industrialised Building System (IBS) is a construction method where components are manufactured in controlled environments, either on-site or offsite, before being assembled into construction works. Over the past several decades, it has garnered growing interest as a method to promote sustainable building. This study identified sustainable indicators through literature reviews, extracting sixteen indicators for a sustainability evaluation. A survey was conducted among developers, designers, civil and structure (C&S) consultants, mechanical and electrical (M&E) consultants, manufacturers, and contractors in North Malaysia, focusing on Kedah state, to identify their perceptions on the sustainable indicator performance of IBS construction. The participants had experience in both IBS and conventional construction. The data collected from the questionnaires were analysed for the mean and Relative Importance Index (RII). The results revealed significant changes in IBS construction compared with conventional construction across all indicators. The top three indicators were reducing the amount of formwork, labour availability, and reducing site disruption. Next, the analysis of the within-group comparison using Intra-class Correlation (ICC) of the indicators revealed that contractors, developers and manufacturers possessed moderate similarity within the same group of organisations. This research gives an overview of the present perspectives of performance of sustainable indicators across key stakeholders in the Kedah construction sector. This is especially beneficial because IBS has grown in popularity and popularity owing to its ability to enhance the building environment, quality, and productivity.

Improving sustainability of precast concrete sandwich wall panels through stone waste aggregates and supplementary

Precast concrete sandwich wall panels offer advantages such as design flexibility, ease of installation, cost-effectiveness, and energy efficiency due to the incorporated insulation layer, but regular concrete production has sustainability issues. This study aims to improve the sustainability of these panels by utilizing stone waste aggregates as a replacement for natural aggregates and supplementary cementitious materials as a partial replacement for cement. The panels were made with two concrete wythes reinforced with steel fibers and joined using basalt fiber-reinforced polymer (BFRP) connectors, with high-density expanded polystyrene (EPS) insulation (30 kg/m3) in between. Self-compacting concrete mixes with varying proportions of stone waste aggregates and supplementary cementitious materials were used. Full-scale wall panels were cast and subjected to flexural tests per ASTM standards, analyzing load-displacement curves, ultimate bearing capacity, and failure modes. The incorporation of steel fibers and stone waste aggregates resulted in substantial increases in failure load and flexural strength compared to controlled concrete panels, with the stone waste steel fiber panels exhibiting significantly higher maximum cracking loads and improved energy absorption and ductility. The inclusion of these sustainable materials, along with basalt fiber connectors and grooves in the EPS layer for mechanical interlock, prevented brittle failure modes and enhanced the composite action, leading to more ductile behavior under flexural loading. Utilizing sustainable materials like stone waste aggregates (100% replacement) and supplementary cementitious materials (30% replacement) in these panels can contribute to eco-friendly and efficient construction practices while maintaining adequate structural performance, paving the way for more sustainable building systems

Natural ventilation potential of teaching building complexes with different block shapes and layout patterns

Natural ventilation significantly enhances building energy efficiency and indoor air quality, thereby reducing virus transmission risks, especially crucial in teaching buildings on university campuses frequently occupied by large numbers of students. This study investigates the design impacts of teaching building complexes on indoor and outdoor wind environments, aiming to propose practical design recommendations. Firstly, a typological analysis of teaching building complexes from ten universities in Guangzhou University Town (GUT) was conducted, screening out several archetypes representing diverse design features. Computational fluid dynamics (CFD) simulations were then performed on 16 hypothetical teaching building complexes derived from these archetypes. The wind velocity distributions and area-weighted wind velocities across various hypothetical scenarios were compared and analyzed, allowing for a thorough assessment of the natural ventilation performance associated with different block shapes and layout patterns. The findings reveal that canyons between buildings have a marginal impact on natural ventilation within scenarios characterized by aligned layouts. In contrast, staggered layouts notably enhance natural ventilation, particularly with orthogonal prevailing winds. Furthermore, semi-enclosed courtyard blocks outperform fully enclosed courtyard blocks in natural ventilation, especially when their openings align with prevailing wind directions. Finally, several practical recommendations were summarized for achieving sustainable teaching building design in similar climate regions. Key contributions include demonstrating the significant influence of block shape and layout on ventilation performance and offering novel insights into optimizing building designs for improved natural ventilation.

Comparative analysis of sustainable building certification processes

Comparative analysis of sustainable building certification processes

Incentive mechanism and scenario simulation of residential energy-efficiency retrofits – From the perspective of tripartite evolutionary game

Energy-efficiency retrofits (EER) are increasingly becoming a key tool for sustainable building development. Compared to extensive urban renewal, refined building energy retrofits hold more practical value. Of this, the complexities arising from the differences in the claims of multiple stakeholders deserve our attention. However, limited efforts have been made in the existing literature to explore this issue. This paper constructs a tripartite evolutionary game model for residential EER from the perspective of engineering management. Taking a typical building in an old neighborhood in Nanchang, Jiangxi Province as an example, the theoretical model is validated. The results indicate that participants in the residential EER market display varying decision-making behaviors at different developmental stages. The government’s implementation of appropriate punitive measures in the early stages will encourage enterprises to participate in EER. Simultaneously, attention should also be paid to the demands of residents to ensure the smooth progress. Market-based renovation models should be actively promoted, and specific renovation programs should be created to accommodate varying requirements. This paper offers theoretical guidance for decision-making and developing residential EER.

Thermal performance of shaded roofs: investigating the impact of material properties and efficacy of building performance simulation

This research investigates the thermal performance of shaded roofs in the composite climate of Roorkee, India, by examining four shading materials (three opaque, one translucent) over an unobstructed roof for eight consecutive days. Using ‘Designbuilder’ software simulations and a mathematical model, the study meticulously triangulates experimental, simulated, and modelled data. The hourly temperature profile of the roof under different shades is analysed and the results showed negligible differences among opaque shading materials, while the translucent material significantly altered the roof’s thermal performance due to solar transmittance. Opaque shades reduced peak heat gain through the roof by up to 77% and 71.5% on cloudy and sunny days, respectively, and reduced nighttime heat loss by 40% and 33%, respectively. This research underscores the importance of considering shading material properties in sustainable building design and confirms the reliability of simulation tools. Highlights The study finds that in parasol roofs, the shading material's thermal properties do not impact the roof's thermal performance, but the solar transmittance does. The study also found that opaque shading could reduce the hourly peak heat gain through the roof by up to 77% and 71.5% on a cloudy day and sunny day, respectively, and reduced the nighttime hourly peak heat loss from the roof by up to 40% and 33%, respectively. Despite considering shading elements in BPS tools to be thermally inactive, the tools perform valid energy simulations.

Practices contributing to building sustainability: Investigating opinions of architecture students using partial least squares structural equation modeling

Owing to the significant contribution of the architecture profession towards a more sustainable built environment, architecture students need to possess sound knowledge of building sustainability. Identifying gaps in the sustainability understanding of these students is critical to recommend improvements in course curriculum. Even though sustainability related awareness of architecture students has been determined previously, the earlier studies have been limited in terms of their focus on individual institutions and their reliance on simplistic analysis approaches. Accordingly, this study investigates the viewpoint of architecture degree students regarding key sustainability practices in buildings. A questionnaire survey is conducted primarily among undergraduate students of architecture, across eight institutions in six countries, resulting in 203 responses. Survey responses indicate that students find ‘Energy’, ‘Passive and Biophilic’, and ‘Indoor Environmental Quality (IEQ)’ practices highly relevant to building sustainability. For investigating relationship of various building practices with building sustainability, quantitative modelling is conducted using Partial Least Squares Structural Equation Modelling (PLS-SEM). Significant relationships are found between building sustainability and ‘building materials’, ‘health interventions', ‘energy’, ‘safety and security’ and ‘passive and biophilic’ constructs. This implies that for these building practices having significant relationships with sustainability, students have better understanding and clarity. However, for other building attributes, their understanding may be lacking and needs attention. Based on these findings, recommendations for the enhancement of architecture curriculum design are proposed. The study findings are expected to support the sustainability learning outcomes for architecture degree students and their agency to contribute to a more sustainable built environment.

Awareness of net zero energy buildings among construction professionals in the Ghanaian construction industry

PurposeNet zero energy buildings (NZEBs) play a crucial role in mitigating the environmental impact of the construction industry. However, this concept in Ghana is still in the infancy stage, and the level of embracement in the construction industry is uncertain which further poses challenges to its adoption. This can be attributed to the lack of awareness of NZEB among construction professionals. Hence, understanding the awareness among construction professionals is essential for promoting sustainable building practices and reducing the carbon footprint of buildings. Therefore, this study investigates the level of awareness of NZEBs among construction professionals in the Ghanaian construction industry (GCI).Design/methodology/approachThe study adopted a quantitative research method where questionnaire survey was used to obtain data from sixty-six (66) construction professionals in the GCI through snowball sampling technique. The collected data were analysed using frequencies, mean scores, one-sample t-test and cross-tabulation.FindingsThe study revealed that thirty (30) construction professionals out of the sixty-six (66) had a moderate level of awareness of NZEBs, and 14 professionals had a low level of awareness. Thirteen had a high level of awareness. Three of the profesionals were extremely unaware, while six had a very high level of awareness. The study’s findings highlight the need to create awareness of NZEBs and their practices among construction professionals and employees in Ghana.Originality/valueNZEB is an under-explored area in the Ghanaian context and therefore, this study uniquely highlights the nascent awareness of NZEBs among Ghanaian construction professionals, unlike previous studies in more developed contexts. It underscores the critical need for targeted awareness programs essential for reducing the carbon footprint and advancing the adoption of NZEBs in the GCI.

The evolution of sustainable renovation of existing buildings: from integrated seismic and environmental retrofitting strategies to a life cycle thinking approach

The sustainable renovation of existing buildings is currently at the top of the agenda of the European Union. Sustainability is typically defined as the result of the interaction of environmental, economic, and social aspects, and it is now considered a major target objective in all sectors of our economy, including the construction one. The concept of sustainable renovation has changed significantly over time, leading to the current interpretation that considers the need to simultaneously improve safety and resilience against natural hazards and minimise energy and resource consumption, as well as to reduce impacts along the life cycle of the building. This manuscript presents insights into combined/integrated environmental and seismic retrofitting techniques and assessment methods for the sustainable renovation of the existing building stock, specifically focussing on those conceived according to a Life Cycle Thinking (LCT) approach. This manuscript goes beyond the current available state of the art by highlighting the evolution of the concept of building sustainability throughout time, as well as defining a comprehensive taxonomy of available retrofitting strategies, while also identifying common clusters among available research papers. This research effort is part of the mission of the European Association of Earthquake Engineering (EAEE) Working Group 15 (WG15), which focusses on ‘combined seismic and environmental upgrading of existing buildings”.

Life cycle assessment and multi-criteria decision-making for sustainable building parts: criteria, methods, and application

PurposeSustainable building design relies heavily on building parts, with crucial consideration for climate and environmental impact. Due to numerous criteria and diverse alternatives, employing multi-criteria decision-making (MCDM) to choose the best alternative is essential. Yet, relevant criteria and suitable MCDM methods for life cycle-based building planning still need to be determined. This study highlights prevalent environmental criteria and offers guidance on MCDM approaches for sustainable building parts.MethodsThis study introduces an innovative approach by integrating life cycle assessment and MCDM. This provides comprehensive decision support for planners. A systematic literature review identifies environmental criteria for building parts and is validated in expert workshops. Thus, the relevance of criteria across the building life cycle is established. Furthermore, the study analyzes MCDM approaches in the built environment. From this, the study employs and evaluates the Analytical Network Process (ANP) and Analytical Hierarchy Process (AHP) in a case study. Thereby, it offers insights into effective decision-making methodologies for sustainable building practices.ResultsThis research categorizes environmental criteria for building parts and buildings into emissions, energy, resources, and circularity. Among 26 building part-related criteria, the global warming potential is highlighted. While the AHP is widely used in MCDM, a standardized method in planning processes is yet to emerge. Applying the ANP and AHP reveals similar rankings for the best and worst alternatives in a case study focused on selecting the optimal ceiling structure. Ribbed or box slab ceiling constructions are favored over reinforced concrete and composite timber-concrete constructions.ConclusionsThis study presents a novel method for life cycle-based MCDM challenges, identifying key environmental criteria. While material correlations exist, evaluating building parts demands simultaneous consideration of multiple criteria. Future research aims to compare further MCDM methods regarding their applicability, transparency, and ranking to enhance decision-making in sustainable construction. These investigations are essential for refining decision-making processes in the built environment, ensuring effective and transparent sustainability planning approaches.

Governing Lateral Load on Tall Buildings in Canadian Regions

Urbanization has led to a significant increase in the construction of tall buildings in Canada. The design of tall buildings must ensure structural integrity in withstanding lateral loads, such as wind and earthquakes. The tendency for a specific lateral load to govern building design varies based on the building characteristics, building height, and location of the building. There is a need to identify the governing lateral load (i.e., wind or earthquake) for use in the preliminary design and city-scale assessment. This study examines the governing lateral loads for tall buildings across different Canadian regions through a parametric analysis of a typical high-rise building based on the Commonwealth Advisory Aeronautical Council (CAARC) building. This research evaluates varying building heights, structural systems, and geographic locations under the guidelines of the National Building Code of Canada (NBCC). The analysis identifies the dominant lateral load, providing insights into assessing the existing infrastructure and optimal design strategies for enhancing building sustainability and resilience. Our findings highlight the critical role of geographic location in determining lateral load impacts and the necessity of context-specific design to promote long-term structural performance and environmental sustainability.

Preparation and properties of alkali-activated fly ash-waste brick porous building materials

This study explores the development of sustainable porous building materials through the alkali-activation of fly ash and waste clay brick powder. Utilizing Class F fly ash and brick powder from demolished buildings, a series of alkali-activated mortars with varying brick powder replacements (0 % to 50 % by mass) were formulated and analyzed. The results reveal that a 10 % brick powder replacement optimizes the compressive strength, reaching 73 MPa at 28 days, attributed to enhanced nucleation and calcium-rich gel formation. However, higher brick content reduces strength due to the dilution of key reactive materials, with a 50 % replacement leading to a strength of 27 MPa. Porosity increases proportionally with brick content, achieving a maximum of 42 % at 50 % replacement, suggesting potential applications in insulation-centric scenarios. Microstructural analysis confirms the formation of a porous network and identifies the phase compositions and reaction products. This research demonstrates the potential of repurposing construction waste into efficient and environmentally friendly building materials, contributing to waste reduction and offering a greener alternative to traditional practices.