Search Results (495)

Programs aimed at reducing the CO₂e footprint associated with the residential building stock should be informed by several key elements, including the expected evolution of the occupied housing stock, projected population dynamics driven by socio-economic and cultural factors, available implementation budgets, and the specific costs of intervention measures. However, in regions characterized by high seismic hazard, the occurrence of a major earthquake may substantially alter the projected outcomes of emission-reduction programs, as seismically vulnerable buildings may experience severe structural damage. This paper presents the results obtained by applying an integrated methodology for assessing the CO₂e footprint associated with residential buildings. The methodology accounts for emissions related to building operation (space heating), energy-renovation interventions, and seismic retrofitting works. While the proposed approach is applicable to other seismically exposed regions, the results presented herein refer specifically to the residential building stock in Romania and its local seismic conditions. The methodology integrates information on the existing building stock, the projected evolution of population and the built environment, energy consumption associated with building operation, changes in the energy fuel mix, construction practices across different historical periods with respect to energy efficiency and seismic protection, and the CO₂e footprint associated with energy renovation and seismic retrofitting. In addition, the analysis explicitly considers the potentially negative effects of a major earthquake, particularly the disruption of greenhouse-gas emission-reduction programs. The assessment is conducted at the building stock level and is based on combining building stock evolution with average, representative CO₂e intensity values for heating, energy renovation, and seismic retrofitting. The results demonstrate that when the sole objective is to reduce the CO₂e footprint associated with space heating, renovation of the energy fuel mix represents the most effective measure. At the same time, the analysis shows that the CO₂e footprint generated by construction works for energy renovation and/or seismic retrofitting represents only a small fraction of the emissions associated with building operation. The occurrence of a major earthquake is likely to jeopardize overall environmental objectives by increasing emissions related to building operation, energy renovation, reactive seismic retrofitting, and replacement of severely damaged buildings. Conversely, systematic preventive seismic retrofitting of the building stock does not lead to an increase in cumulative CO₂e emissions over the program implementation period. Full article

Rapid population growth is increasing housing demand and accelerating the expansion of the built environment in Egypt. However, practical and sustainable residential building decarbonization remains constrained by limited supplies of supplementary cementitious materials, limited structural timber resources, code restrictions on cement reduction, and cost sensitivity. This study evaluates two Egyptian multi-unit residential case studies—one affordable housing project and one middle-class housing project—to assess whether wall-system substitution can reduce both embodied and operational carbon under local material, code, and cost constraints. An integrated BIM-based digital twin workflow was used to link quantity takeoff, finite-element structural assessment, and whole-building energy simulation. An architectural BIM model was used for material quantification, wall-system definition, and energy-model inputs. A structural model was used to assess the effects of reducing wall density on reinforcement and concrete demand under gravity and seismic load combinations. Operational performance was assessed through cooling-focused energy simulations under hot-arid climatic conditions representative of Egypt’s new desert cities. Alternative wall systems were then evaluated through scenario- based material substitution and revised structural and energy assessments. The results show that reinforcement, concrete, and wall- core materials account for about 80% of total embodied carbon, while cooling accounts for about 72% of operational emissions. Non-structural cement uses, mainly mortars and finishes, account for 36% of total cement demand, ranging from 161 to 229 tons per building across the two case studies. Replacing conventional partition walls with lightweight, energy-efficient alternatives reduced embodied carbon by up to 35.2%, operational carbon by about 15.7% to 16.5%, and total life-cycle carbon by about 17.4% to 17.5% over a 60- year service life. The average savings per building corresponded to avoiding about 30 tons of steel, 165 m³ of ready-mix concrete, and 191 m³ of mortar, with net cost savings of about 3.15 million EGP per building. These results identify a practical pathway toward more sustainable, lower-carbon Egyptian residential buildings without increasing project cost. Full article

Construction projects depend heavily on manual labor; however, workforce productivity is frequently constrained by poor planning and communication. This paper proposes a methodological framework that combines Building Information Modeling (BIM) with the Lines of Balance (LOB) technique to estimate, allocate, and visually coordinate crews in repetitive building work. Using a Design Science Research approach, the study draws on a systematic review of 29 eligible studies that identified 23 processes for human resource planning and allocation. These processes are structured into five planning categories: scope and duration, structuring and quantification, resource estimation and allocation, schedule baseline, and cost baseline. BIM support is operationalized through seven high-utility BIM applications identified by expert assessment (RUI > 0.75), including phase planning, scheduling, site utilization planning, and cost estimation. The framework connects model-based quantity takeoff and productivity assumptions with LOB-based sequencing and crew assignment. This integration enables early detection of spatiotemporal overlaps and workload imbalances through consistent BIM–LOB visualization. The method was implemented and calibrated in two residential case studies (one covering 295 m² over 3 months and the other 3660 m² over 22 months), resulting in workforce plans comprising 10 workers across five crews and 72 workers across nine crews. An evaluation involving 31 professionals indicates a high perceived utility, particularly in reducing errors in quantity and productivity estimation (RUI = 0.90) and crew quantification (RUI = 0.88). Full article

The increasing demand for efficient and sustainable building design has led to the development of nD BIM, which integrates multiple dimensions such as time (4D), cost (5D), and environmental performance (6D and beyond). However, existing approaches often lack an integrated decision-making framework that supports the simultaneous evaluation of these criteria, particularly in the early design phase of building envelope systems. This study proposes a unified nD BIM-based decision-making framework for building assemblies, using authoring tools, namely the BIM approach and LCA methodology. The proposed framework is applied in an empirical case study, where several design variants of a multi-residential building are developed and analyzed through 4D and 5D BIM models to assess construction time and costs, while environmental impacts are evaluated using selected key indicators, e.g., Global Warming Potential (GWP), Acidification Potential (AP), and the consumption of non-renewable primary energy (PENRT). The outcomes of these analyses are integrated into a multi-criteria decision-making model based on a weighting system. The results demonstrate that an nD BIM-based unified weighted decision model enhances decision-making by enabling transparent comparison of design alternatives and identification of trade-offs, thereby supporting more efficient and sustainable building envelope design while improving decision quality and reducing uncertainty for designers, engineers, and project investors. Full article

Low-lying and riverine areas of Sabah and Sarawak in East Malaysia are increasingly exposed to compound flood hazards driven by intensified monsoon rainfall, sea-level rise, and land-use change. Recent projections indicate stronger extreme rainfall, fewer dry days, but more high-intensity events, and significant increases in annual rainfall and sea level, all of which elevate fluvial, pluvial, and coastal flood risk. In this study, climate-responsive vernacular architecture is investigated as a passive, low-carbon strategy for enhancing residential flood resilience in East Malaysia. Traditional stilted Malay kampung houses, Bornean longhouses, and coastal stilt settlements were explored since they have historically evolved to cope with seasonal inundation, high humidity, and tropical thermal loads. In this study, the following was conducted: (1) historical flood and climate analysis for key basins (Rajang, Sarawak, Kinabatangan); (2) morphological and typological analysis of vernacular dwellings; (3) parametric physical and hydrodynamic simulation of elevated and amphibious configurations; and (4) multi-criteria performance assessment based on structural robustness, flood safety, thermal comfort, cultural acceptability, and embodied carbon. Results from scenario-based simulations show that well-configured stilted typologies, with optimized floor elevation, breakaway panels, and porous undercroft zones, can reduce flood damage depth by 60–80% and expected annual loss by 30–55%. By translating these findings into a design guideline and decision matrix for climate-responsive housing in East Malaysia, contemporary reinterpretations of vernacular strategies were embedded into Malaysian building codes, state-level planning policies, and community-led upgrading programmes. Full article

The growing need to enhance observability in distribution networks has driven the development of load pseudomeasurement generation methods, particularly under partial smart meter (SM) penetration. This paper proposes a load pseudomeasurement framework that builds representative daily load profiles (load curves) from hourly SM time series using clustering techniques, with and without weather information. Markov chain models are then used to capture day-to-day dynamics by predicting the most likely next-day profile to be assigned to customers without SM. To enable this transfer, a hierarchical grouping scheme based on monthly energy consumption is introduced to map behaviors from SM-equipped customers to customers without SM measurement. The methodology is validated with real residential data from the Low-Carbon London project under multiple observability scenarios including different SM availability levels, where SM measurements are withheld from the inputs to emulate customers without SM measurement, and the resulting pseudomeasurements are benchmarked against the original measurements. The results show that the Euclidean representative curve method achieved the most robust overall performance, with a minimum MAE of 1.65 in the Reduced × 75% SM configuration. The best-performing configuration depended on the observability level: Reduced was the most robust option under medium-to-high observability, whereas Temp_reduced with a 21-day window performed best under the lowest-observability condition. In addition, the Euclidean method showed low practical deviation in the Reduced × 25% SM case, with a bias of 0.63 and Cohen’s d = 0.27. Overall, the proposed approach accurately reproduces the hourly load shape and captures inter-day variability under partial observability conditions. Full article

The construction sector is a major consumer of raw materials and a significant source of greenhouse gas emissions, necessitating data-driven approaches to support circular economy implementation and sustainable project management. This study develops an integrated framework combining machine learning-based material stock prediction, carbon footprint assessment, and Environmental, Social, and Governance (ESG) performance evaluation for construction projects. A dataset of 128 residential buildings was compiled from official use-permit documentation. After dimensionality reduction using variance filtering and Spearman correlation analysis, 25 regression algorithms were evaluated to estimate quantities of concrete, reinforcement, and brick products. The K-Nearest Neighbor (KNN) Regressor achieved the best predictive performance, with mean absolute percentage errors of 10.64% for concrete, 10.23% for reinforcement, and 16.05% for brick products. Predicted material quantities were used to calculate CO₂ emissions across materialization, demolition, and disposal phases under linear and circular scenarios. The results indicate that circular economy implementation significantly reduces total emissions, particularly for concrete, with reductions of up to 97% under idealized full-substitution conditions, representing an upper-bound estimate. ESG assessment using the Delphi method identified environmental indicators as the most significant sustainability dimension. The proposed framework enables early-stage emission estimation and supports informed decision-making toward low-carbon and resource-efficient construction practices. Full article

This research examines the complex relationship between climate change, rapid population growth, and building stock expansion in Egypt, as well as their combined impact on energy demand and urban sustainability, to address the rapidly increasing electricity demand. This study uses a mixed-methods approach, including quantitative analysis to examine climatic data (1970–2100), demographic trends, and building energy consumption patterns, quantifying their synergistic effects; a qualitative evaluation of policy frameworks and urban planning strategies; and building energy performance simulation using Design Builder to utilize climate-responsive design techniques for energy reduction. Finally, this study proposes energy-efficient design guidance. The research findings reveal that Egypt’s unique hot–arid climate, projected to warm by 4 °C by 2100, combined with a population set to reach 160 million by 2050, has driven the near-doubling of building stock since 1986, with residential buildings accounting for 70–83% of structures and 60% of national electricity use. The research results highlight the importance of implementing climate-responsive design strategies (optimized building-envelope thermal insulation and energy-efficient HVAC systems) in Egypt’s built environment to reduce electricity consumption by up to 40%, thereby aligning urban growth with sustainability objectives. These insights are scalable to other arid, rapidly urbanizing regions globally. Full article

Urban areas in subtropical regions are increasingly exposed to heat stress as climate change intensifies extreme heat events. In high-density cities, urban renewal is widely implemented to upgrade aging building stock, yet its potential role as a passive heat adaptation strategy remains insufficiently understood, particularly for projects below environmental impact assessment thresholds. This study examines how urban renewal influences neighborhood-scale microclimates through a comparative analysis of six residential renewal cases using computational fluid dynamics (CFD) simulations. Pre- and post-renewal scenarios are evaluated to assess changes in wind environment and thermal conditions, with a particular focus on the spatial extent and distance–decay characteristics of renewal-induced effects. The results reveal a consistent distance–decay pattern of microclimate responses across all cases. The influence of urban renewal is strongest within 0–50 m, remains detectable up to approximately 100 m, and diminishes substantially beyond 100–150 m, indicating a clear neighborhood-scale impact radius. Ventilation performance improves systematically following renewal, while thermal responses are more heterogeneous. Localized cooling of up to 1.5 °C is observed in selected cases, whereas others exhibit negligible temperature change despite enhanced airflow. These findings demonstrate that improved ventilation alone does not guarantee thermal mitigation. Instead, thermal outcomes depend on the interaction between airflow, solar exposure, and surface thermal properties. Urban renewal can therefore function as a form of passive heat adaptation when morphological changes are coordinated with shading and surface design strategies. By quantifying the spatial limits of renewal-induced microclimate effects, this study provides empirical evidence for integrating microclimate considerations into neighborhood-scale planning. The identified influence radius offers a practical reference for climate-responsive urban renewal, particularly in high-density subtropical cities where incremental redevelopment plays a dominant role. Full article

In rapidly growing Saudi cities like Mecca and Jeddah, population diversity and expansion have increased the need to improve residents’ quality of life. As part of Saudi Vision 2030, both cities have launched major redevelopment initiatives that replace old neighbourhoods and relocate residents to newly developed housing. This study evaluates residents’ perceptions of indoor environmental quality across different housing environments, reflecting changes in residential context, building typology, and interior conditions. The study adopted a quantitative approach to gather data from 80 participants who were impacted by demolition projects and moved to newer urban neighbourhoods; the analysis used descriptive statistics and one-way ANOVA to analyse the obtained results. The results revealed that for most of the environmental factors, the ANOVA test showed no significant differences between premodern and modern houses, yet the descriptive statistics showed that modern houses were perceived slightly more positively than older houses. Furthermore, the results showed that, in both premodern and modern houses, thermal comfort was identified as one of the most important parameters, followed by indoor air quality and lighting, while acoustics ranked as the least important. Full article

The decarbonization of the residential sector is a critical component of the European Green Deal, particularly in transition economies like Poland. This study proposes a comprehensive techno-economic optimization of a deeply retrofitted single-family house aiming for net-zero energy building (NZEB) status. The research specifically focuses on the Polish coastal climate zone, characterized by distinct humidity, wind, and temperature profiles compared to inland regions, which significantly influence the efficiency of air-to-water heat pumps (ASHP). Based on a real-world energy audit, the study simulates the synergy between a deep thermal envelope upgrade and a hybrid system comprising an ASHP, photovoltaics (PV), and battery energy storage (BES). This paper presents a detailed economic analysis of such hybrid systems under the new Polish ‘net-billing’ prosumer mechanism. The study evaluates the impact of electricity tariff structures (flat-rate G11 vs. time-of-use G12w) on the investment’s profitability. By calculating key performance indicators—including the levelized cost of energy (LCOE), net present value (NPV), and self-sufficiency ratio (SSR)—the research assesses various system configurations. The initial evaluation indicates that while deep retrofitting significantly reduces heating demand, integrating battery storage plays a critical role in enhancing economic returns under the net-billing framework. The analysis demonstrates that the optimized hybrid system (9.0 kWp PV + 10 kWh BESS) achieves an average annual self-sufficiency ratio (SSR) of 49.8% and reduces the non-renewable primary energy (EP) indicator to 0.0 kWh/(m²·year). Economically, the investment yields a positive NPV of €3194, an IRR of 5.25%, and a LCOE of €0.184/kWh, which is 34% lower than projected grid prices. Furthermore, switching to a time-of-use tariff (G12w) generates an additional 11% (€139) in annual savings. These quantitative findings provide actionable guidelines for policymakers and investors, confirming the financial viability and environmental benefit (annual reduction of 6.12 MgCO₂) of NZEB standards in coastal areas. Full article

Energy performance certification of buildings is a key instrument for assessing energy efficiency within the framework of the Energy Performance of Buildings Directive (EPBD). In practice, significant discrepancies are often observed between the predicted and actual energy performance of buildings. One of the main causes of this discrepancy is non-compliance with technological procedures during construction. This paper analyses the energy and economic consequences of such deviations through a case study of a newly constructed residential building in northern Slovakia that was originally certified in the A0 energy class. The research methodology included in situ inspection of the building, thermographic measurements, destructive probes of the building envelope, analysis of project documentation, and recalculation of energy performance using measured building parameters. The results revealed significant deficiencies in the thermal insulation of the building envelope, roof construction, and window airtightness. After recalculation based on measured parameters, the building’s energy classification deteriorated from A0 to B. The total energy demand increased by 46%, while primary energy demand increased by 141%. The results demonstrate that construction deviations can significantly affect the reliability of energy performance certification. The study highlights the importance of verifying the actual condition of buildings during construction to ensure the reliability of EPC assessments. Full article

Indoor exposure to particulate matter (PM) is increasingly recognized as a major contributor to respiratory and cardiovascular risk, yet the relative contributions of outdoor pollution, building characteristics, and occupant behavior remain poorly resolved. PM₁ (aerodynamic diameter < 1 μm) warrants focus due to its higher alveolar deposition. “Evidence driven indoor air quality improvement” (EDIAQI) project aims to enhance indoor air quality guidelines and increase awareness by providing accessible data on exposure, pollution sources, and related risk factors. As part of the Zagreb pilot within the project, 103 paired indoor/outdoor PM₁ samples were analyzed. Seasonal analysis revealed substantial wintertime outdoor PM₁ spikes, while indoor medians remained stable. Chemometric analysis identified factors such as dwelling size, outdoor pollution, resuspension, building age/heating type, and urban context. Among the tested models, the validated gradient-boosted regressor (GBR) achieved the strongest performance, explaining ~65% variance in indoor PM₁ (test R² ≈ 0.65). Explainable machine learning analysis (SHAP) identified outdoor PM₁ levels, infiltration, and resuspension as the most influential predictors. Findings underscore wintertime outdoor emissions (e.g., residential heating and traffic) and dwelling-related and behavioral factors as key drivers, with the machine learning–environmental data integration enabling targeted residential IAQ management: optimized ventilation protocols, resuspension mitigation via behavior, and infiltration reduction through retrofits. Full article

The relationship between architecture and sloping terrain constitutes a persistent subject in architectural discourse. Western scholarship has often emphasized structural, technical, and formal strategies, whereas systematic sectional studies focusing on Japanese residential works in sloped environments remain comparatively underexplored. This study aims to elucidate the characteristics and design logic of sectional composition through an analysis of 55 independent Japanese residential projects on sloping terrain from the period 2015 to 2024. Employing an analytical framework that integrates external composition (orientation of the approach path and grounding condition of the building volume) with internal composition (sectional relationship between the entrance and the main room), the research identifies six fundamental sectional types and their sub-patterns. From these, three core design logics are derived: transforming slope directionality into internal circulation sequences, establishing a contrastive relationship between building volume and terrain, and adapting the terrain through leveling to prioritize functional layout. By maintaining a consistent analytical framework with the foundational study, the research enables a diachronic comparison that reveals both continuities and shifts in sectional design strategies over the past two decades. Architects’ own design statements are incorporated to corroborate the spatial narratives embedded in these compositional strategies. The findings demonstrate that contemporary Japanese sloping terrain residences employ diverse approaches ranging from topographic integration to volumetric dialog, showing that sectional organization not only responds to topographic conditions but also shapes spatial experience and dwelling logic. This study provides a typological reference for sloping terrain residential design and contributes an empirical foundation for understanding the intrinsic compositional relationship between architecture and terrain. Full article

Clarifying the dynamic response characteristics of buildings and pile foundations under the action of blasting vibration is of great significance to ensure the safety and stability of the buildings adjacent to the underwater drill blasting project in the waterway. Based on the blasting construction project of the HD13 section of the Western Land-Sea New Passage (Pinglu) Canal Waterway Project, the attenuation law of the blasting vibration along the riverbank was obtained through the on-site blasting vibration monitoring. Based on on-site blasting vibration monitoring results, the dynamic response characteristics of residential buildings in the adjacent waterway were analyzed using the LS-DYNA dynamic finite element analysis method. The numerical results show that the roof’s peak vibration velocity decreases with increasing height from the foundation within the same building, and the peak attenuation is 67.76%. The peak vibration velocity and the maximum principal stress of the pile foundation increase with increasing pile depth. Based on the numerical analysis results, a linear relationship formula is established between the peak vertical vibration velocity of the pile body and the peak maximum principal stress. It is calculated that the safe control threshold value of pile foundation blasting vibration within the parameter range of this study is 13.92 cm/s. Full article