High-rise Residential Buildings Research Articles

Ontology-assisted GPT-based building performance simulation and assessment: Implementation of multizone airflow simulation

Building performance simulation (BPS) is crucial for building performance assessments across its lifecycle. However, the complexity of buildings and the iterative nature of simulation poses challenges, leading to high costs and low values. Previous studies focused on simplification, but did not fully utilize advanced simulation engines. Despite recent advancements, there is a lack of research on leveraging artificial intelligence (AI), specifically generative pre-trained transformer (GPT), for BPS. Therefore, this study proposes a GPT-based BPS system, enhancing simulation efficiency and value by integrating simulation engines and advanced data analytics in the GPT environment. The ontology for GPT-based BPS is also developed to enable comprehensive, reliable, informative BPS environments. Based on this framework, case studies were conducted for GPT-based multizone airflow network simulation in a high-rise residential building using CONTAM software. They demonstrate GPT’s capabilities in retrieving simulation data, visualizing results with data mining, answering questions based on building knowledge, checking compliance with design guidelines, and proposing design alternatives. Finally, this study emphasizes expert interventions with ontological engineering informatics to utilize strictly structured BPS engines.

Guidelines for Predicting Airtightness in Residential Buildings under Climatic Pressure Conditions

This paper presents a generalized approach for predicting building airtightness based on pressure difference measurements. Furthermore, it provides practical guidelines for applying this method. Studies have proposed a method for predicting the airtightness of high-rise residential buildings in winter using the pressure difference caused by the stack effect. This method was validated using tests under various temperature differentials and building heights. However, practical guidelines for its implementation are lacking. To generalize the airtightness prediction method, a 95% confidence interval for the results was calculated using the blower door test. The applicable pressure difference was calculated based on the calculated results. For each building, the minimum differential pressure within a 95% confidence interval was at least 20 Pa. To provide guidelines for utilizing the proposed airtightness prediction method, acceptable conditions characterized by ΔH × ΔT ≥ 750 m∙°C were calculated. An acceptable condition, characterized by ΔH × ΔT ≥ 750 m∙°C, showed the highest agreement between predicted and measured values across all buildings. This study outlines practical guidelines for using the proposed methodology under these conditions. Overall, we present a straightforward method that relies solely on measuring pressure difference, thereby eliminating the need for a complex and challenging blower door test, typically used in real-world scenarios. By applying this method to predict airtightness in building conditions, the accuracy of predictions for energy use intensity and indoor air quality can be significantly improved.

Semantic Enrichment of a BIM Model Using Revit: Automatic Annotation of Doors in High-Rise Residential Building Models Using Machine Learning

Semantic Enrichment of a BIM Model Using Revit: Automatic Annotation of Doors in High-Rise Residential Building Models Using Machine Learning

Noise reduction and visual disturbance performances of horizontal facade profiles for a multi-story high-rise apartment building

This paper simulates the noise reduction performance of horizontal profiles installed on the façade to reduce the external noise in high-rise residential buildings. The simulation used commercial software based on the ray tracing method and evaluated the performance by modeling a representative rectangular-shaped 30-story apartment building in South Korea. The simulation assumed a four-lane road traffic noise source parallel to the front of the apartment. The key simulation values were cited from configurations derived in previous studies. The sound absorption points were set at the center of each living room on every floor, and windows facing the road were considered for ventilation, being set to be partially open. Horizontal profiles for noise reduction were placed on the exterior of the building, starting from the 20th floor, with protrusion height and vertical spacing as variables. These profiles were combined with noise barriers to assess their impact. As a result, it was confirmed that the noise barrier only reduced the noise in the lower floors, while the horizontal profiles on the upper part of the building could also reduce noise in the upper floors. Additionally, the paper discusses the visual disturbance of the horizontal facade profiles visible from the living rooms.

Selecting suitable passive design strategies for residential high-rise buildings in tropical climates to minimize building energy demand

Passive design strategies (PDS) are a fitting solution to reduce the ever-growing energy cost of residential high-rise buildings in tropical regions. However, PDSs’ building energy saving potential significantly varies with local climate conditions, but it has been sparsely investigated. Hence, this study investigated the energy-saving efficiency of eight common PDSs integrated into a typical residential high-rise building in three sub-climates: extremely hot humid (0A), very hot humid (1A), and warm humid (3A) defined by ASHRAE for the tropical climate. This study developed a Building Performance Analysis (BPA) workflow with a BIM-based simulation framework and local and global sensitivity analyses for the building energy analysis. The global sensitivity analysis revealed that low e-coating on glasses is the most influential PDS for 0A and 1A climates, but it has a negative effect in the sub-climate zone 3A. The low-conducting exterior walls are the most effective PDS in the sub-climate zone 3A, but they are poorly performed in the other two sub-climate zones. Based on the energy calculation and sensitivity analysis, this study proposes the best PDS groups, saving up to 40.1%, 63.5%, and 31.7% of average annual building consumption in the sub-climate zones, 0A, 1A, and 3A climates.

Older adults’ decisions regarding mobility to age in place in medium- and high-rise multi-storey residential buildings in urban settings: A case study of South East Queensland, Australia

Population ageing and urbanisation requires a more thorough understanding and monitoring of older adult residential mobility trends. Many older adults move to urban areas and previous studies have been carried out on ageing in place in traditional low-rise residential buildings. However, there is little in the literature about the important push and pull factors influencing older adult moves to medium- and high-rise multi-storey residential buildings in urban areas as they age. This case study research considered the housing migration model of push and pull factors used in elderly residential mobility and investigated the older adults' decision-making regarding mobility to age in place in medium- and high-rise multi-storey residential buildings in South East Queensland, Australia. The study revealed how the older adults expressed a desire to age in place in multi-storey residential buildings in urban areas and identified it as an important element of quality of life. Many older adults chose to move house to high density urban areas from low density urban areas between the ages of 65 and 84. The ‘pull’ factor to significantly influence the decisions of movers was a low maintenance property and lifestyle change from a large suburban home whereas the ‘push’ factor was upkeep difficulties of the house related to old age. This study makes empirical contributions to knowledge in ageing residential mobility trends in urban areas and concludes by providing policy recommendations for developing more effective housing, public spaces, transportation, and community activities and services for older adults, including highlighting a number of recommendations for future research.

Structural Response Analysis and Comfort Evaluation of Residential Buildings: A Combined Wind Tunnel and FEM Approach

With global urbanization accelerating, high-rise buildings have become a common feature in the urban landscape, especially in coastal cities, where they encounter unique wind-load challenges. This study aims to quantify the structural response and occupant comfort of a high-rise residential building under wind-induced accelerations by integrating wind tunnel testing with finite element analysis (FEA). The research focuses on critical response parameters, including displacement, acceleration, and stress, to evaluate the building’s performance. Wind tunnel tests provided detailed wind pressure distribution data across the building’s surface, while multi-degree-of-freedom and finite element models facilitated precise numerical simulations. The findings highlight a significant directional and temporal variability in wind-load responses, with the most pronounced effects observed at a wind-direction angle of 105° relative to the building’s front-facing axis (0°). The study confirms that the combined application of wind tunnel tests and FEA offers a comprehensive approach to understanding wind-induced responses, essential for the scientifically accurate and effective design of high-rise structures.

Evaluation of the impact of urban redevelopment projects including high-rise residential buildings on the formation of compact cities

Evaluation of the impact of urban redevelopment projects including high-rise residential buildings on the formation of compact cities

Extended end-of-life carbon assessment and savings: A case study of steel-framed modular buildings in Hong Kong

Modular construction (MC) advances conventional approaches such as material efficiency, shorter construction time, and reduced onsite waste, leading to lower carbon emissions in some stages. However, the End-of-Life (EoL) carbon has never been made explicit, particularly for MC, and there remains a lack of evidence on how much carbon emissions are generated and reduced from the EoL stage of modular buildings. To address the gaps, the present study proposes an EoL carbon estimation model for MC based on the life cycle assessment (LCA) method. The developed model was empirically validated through a case study of a typical high-rise steel-framed modular residential building in Hong Kong. The results reveal that net carbon emissions during the EoL stage could be −764.40 kg CO2 eq./m2, presenting the great carbon savings potential of MC. Compared to those in traditional on-site construction areas, steel modular components have far greater capabilities to mitigate carbon emissions, as most of them can be reused. Nevertheless, an average of 41.56 kg CO2 eq./m2 of carbon is still released in the EoL stage, most of which is contributed by transportation, followed by waste disposal, demolition, and waste processing. This study makes an original contribution to understanding the extent of EoL carbon emissions and the potential of carbon savings in steel modular buildings. Also, these findings unveil the practical significance of reusing modules for EoL carbon mitigation and provide useful suggestions for demolition contractors and policymakers to mitigate carbon emissions to further promote the transition towards carbon neutrality.

Urban Topophilia and Social-spatial Interaction: A Comparative Study Highlighting Urban Space in High-rise Residential Buildings in Iraq

Urban Topophilia and Social-spatial Interaction: A Comparative Study Highlighting Urban Space in High-rise Residential Buildings in Iraq

Impact of Architectural Details on the Transmission of Airborne Pollutants between Flats in Residential High-Rise Buildings

Impact of Architectural Details on the Transmission of Airborne Pollutants between Flats in Residential High-Rise Buildings

Generative design for complex floorplans in high-rise residential buildings: A Monte Carlo tree search-based self-organizing multi-agent system (MCTS-MAS) solution

This research aims to develop an innovative generative design algorithm for complex floorplan layout designs in high-rise residential buildings. Unlike conventional methods, which treat such a task as an optimization problem, we approach it as an adaption problem to be solved by combining a self-organized multi-agent system (MAS) and Monte Carlo tree search (MCTS) algorithm. The approach involves two steps. The first is design constraints pre-processing, which comprises (a) initial user input, and (b) pre-processing for initial setup. The second is building plan generation, involving (a) perception, (b) planning, and (c) action modules. Multiple illustrative examples are explored to verify the proposed generative design algorithm in terms of robustness, efficiency, and scale. We discover that the algorithm can handle complex combinations of input constraints (e.g., number of rooms, room areas, adjacency connections, and building boundaries) and generate plausible floorplans in a robust, efficient way that can be scaled up to bigger, more complex floorplan generative design problems. With proper adaptation, the algorithm can potentially be applied to other building types, such as office or hospital buildings.

Integrating vertical farm into low-carbon high-rise building in high-density context: A design case study in Hong Kong

Today's world faces multiple challenges, including climate change, biodiversity loss, and food security. In addition, in the post-pandemic era, there is an urgent need to re-design urban habitats to reduce the epidemic's enduring impacts and reconnect citizens with healthy community activities. As a city with the top population density level in the world, Hong Kong is home to many high-rise communities. This article took the architectural design competition “Green Tower Hong Kong” as an entry point to discuss the technical feasibility and design strategies of integrating high-rise residential buildings with urban agriculture to improve urban food security, enhance on-site solar energy utilization, and develop a sustainable residential environment conducive to low-carbon living and working. The issue of how to improve the dietary structure of Hong Kong residents and reconnect them through space design was focused. Finally, taking the site of Kwun Tong Center as the case study, a resilient residential high-rise building integrated with shared gardens and greenhouses was proposed with a technical-oriented methodology and optimization framework. The final design of mixed-use buildings can provide apartments for 2500 individuals, produce 340,750 kg of vegetables with 156 % self-sufficiency, and generate electricity of 1,080,000 kWh annually. This paper examines strategies for integrating urban agriculture into high-rise residential buildings in high-density urban environments. It proposes a technology-based design optimization method, offering a reference for future explorations of low-carbon, resilient communities.

Features of mechanization of work during the construction of buildings using low-rise construction technologies

Currently, in Uzbekistan, the low-rise housing construction sector is in a stage of dynamic development and, as a rule, is aimed at developing the territories of suburbs and agricultural areas. First of all, the trend of growth in the volume of low-rise residential construction is due to the fact that the construction of low-rise buildings is much less expensive in comparison with the construction of high-rise residential buildings. In addition, the operating costs of low-rise residential buildings are significantly lower than high-rise ones, since there is no need to install expensive engineering equipment (elevator equipment, high-power pumping equipment, fire protection systems, etc.). State programs in the field of providing the country's citizens with affordable and comfortable housing provide for a comprehensive reduction in its sales value, which is primarily achieved by reducing the cost of construction, including by reducing the consumption of fuel and energy resources (FER) during the construction of buildings.

Systematic initial embodied carbon assessment of concrete modular high-rise residential buildings: A case in Hong Kong

Reducing carbon emissions from buildings is essential to achieving carbon neutrality. Modular construction (MC) has been adopted as an innovative approach to improve construction sustainability. However, detailed embodied carbon (EC) assessment of concrete modular high-rise residential buildings is lacking. This study aims to systematically assess the cradle-to-end-of-construction EC of concrete modular high-rise residential buildings. A multilevel EC assessment model was proposed and validated to assess the EC at different spatiotemporal levels. A concrete modular high-rise staff quarters building was selected for case study. Its cradle-to-end-of-construction EC was quantified as 569.3 kgCO2e/m2 with around 80 % from material production. The structural modules with structural walls generated more EC than the nonstructural modules. The residential area comprising the modules had higher EC emissions than the communal area. The case building generated 14.6 % less cradle-to-site EC from the production and transportation of structural materials but 20 % more cradle-to-end-of-construction EC compared with two prefabricated panelized building counterparts, respectively. The cradle-to-end-of-construction EC of the case building was reduced by 8.3 % by eliminating the nonstructural module floor and by 16.7 % by further decreasing the nonstructural module walls. The results show that concrete MC reduces the EC at the construction stage but does not necessarily achieve a lower initial EC than its conventional counterpart. Resolving the double-panel issues can effectively mitigate the EC of modular buildings. These findings demonstrate the effectiveness of the proposed multilevel EC assessment model and provide valuable insights for future research on the systematic EC assessment and reduction of modular buildings.

Multi-Objective Optimization for the Energy, Economic, and Environmental Performance of High-Rise Residential Buildings in Areas of Northwestern China with Different Solar Radiation

Multi-Objective Optimization for the Energy, Economic, and Environmental Performance of High-Rise Residential Buildings in Areas of Northwestern China with Different Solar Radiation

Torsional effect analysis of high-rise reinforced concrete space grid cassette multi-tube structure system

The manuscript introduces a new structural system called the reinforced concrete (RC) space grid cassette multi-tube structure for high-rise buildings. A case study building is analyzed using this system and compared to a conventional RC frame-core tube structure. Through modal analysis in the software “Midas Gen”, the torsional effect and control indices like inter-story displacement ratio, maximum displacement, etc. are compared between the two structural systems. The results show that the space grid cassette system has smaller displacement ratios, displacements, inter-story torsion angles, and thus better torsional resistance compared to the conventional frame-core tube system. Based on these analyses, the manuscript concludes that the RC space grid cassette multi-tube structural system has superior seismic performance and is more suitable for irregularly shaped high-rise residential buildings.

Identification of Sources of Complexity in Various Types of Building Projects in India Based on Design and Performance Attributes

Building projects as sub-sect of construction projects are complex and different in design and performance attributes. The prominent classes of building projects are high-rise residential buildings, hospitals, hotels, general offices, retail buildings/malls, educational institutions, and warehouses. In this study, building projects have been classified based on their end use. Complexities vary between construction projects and within various types of building projects, as well as across regions and countries. Understanding the sources of complexity is imperative to strategize their successful development. This research paper attempts to identify the sources of complexities using the design and performance attributes of seven prominent building types. A survey was conducted through experienced architects and construction professionals (the mean years of experience being approximately 13.88 years) over 34 different attributes or parameters under six categories. These attributes have been shortlisted from past research work by various authors, and the pilot study for this project. The Kruskal-Wallis Test was used to calculate the mean ranking and to confirm that the medians of each building type were not the same when compared against each attribute, irrespective of the level of complexity. Using data analysis and the mean ranking scores as a representation of relative complexity, primary sources of complexity in each class of buildings have been identified and listed. The results indicate that hospitals (as a building typology) are relatively the most complex building facilities in terms of design and performance attributes, showing the highest mean ranking towards 16 attributes (with only one shared ranking). Hospitals are followed by retail/malls (10 with one shared ranking), hotels (3), high-rise residential buildings (4), educational institutions (2), general offices (0), and warehouses (0). Strategies to manage these attributes have been proposed for each building typology so that the risks emanating from the complexities of these building projects can be mitigated and effectively managed at the design stage.

The Appraisal of Fire Active System for Low-Cost High Rise Residential Building in Penang, Malaysia

The Appraisal of Fire Active System for Low-Cost High Rise Residential Building in Penang, Malaysia

Techno-Economic Analysis of a High-Rise Residential Building Adapted to Nearly Zero-Energy Building Standards

Zero-energy buildings have attracted great attention in China. Limited research about typical high-rise, zero-energy residential buildings in China was found. To figure out the potential of zero-energy buildings in northern China, a techno-economic analysis of a typical residential building adapted to the nearly zero energy building (NZEB) standards in the cold region of China was carried out in detail in this paper. Firstly, the feasibility of different building energy efficiency technologies was figured out in the passive design level. Secondly, the annual energy balance of the nearly zero-energy building model was investigated. Finally, detailed economic and environmental analyses were performed. The results show that the energy consumption of space heating and cooling of a typical high-rise, nearly zero-energy building could decrease to 11.1 kWh/(m2·a) in Beijing. The conclusions could provide a reference and design basis for the development of zero-energy residential buildings in northern China in the near future.