High-rise Residential Buildings Research Articles

Impact of spatial layout on vertical wind conditions and comfort levels in high-rise residential buildings in Shenzhen

Urban residential areas' rational spatial height distribution plays a crucial role in achieving a more balanced wind speed distribution, smoother air exchange, and improved space comfort. This study used Shenzhen as a representative city to analyse the effect of high-rise residential building layouts on vertical ventilation. Nine typical height-layout schemes were determined within an area of 220 × 200 m. Wind tunnel tests were conducted to validate the accuracy of the enhanced computational fluid dynamics simulations. Various parameters were comprehensively evaluated, including wind speed, wind pressure, mean age of air (MAA), and the universal thermal climate index (UTCI). The results show that different height layout schemes affect the distribution rates of wind speed, wind pressure, MAA, UTCI, and the rate of change with height. Compliance with the building row spacing specification enabled the nine schemes to obtain >83% of the windward wind speed and >48% of the leeward reasonable wind speed; the reasonable wind pressure distribution was >32% higher on the leeward side than that on the windward side. MAA statistics show that the air displacement efficiency per unit volume is generally between 120 and 300 s. >90% of the windward space in the UTCI was comfortable, and >60% of the leeward space felt slightly hot. This study shows the impact of high-rise residential layouts on comfort in hot summer and warm winter areas. It clarifies a reasonable height layout that helps realise the green liveability of residential areas.

Empirical assessment of fire safety in high-rise residential buildings in Vietnam and residents’ knowledge and awareness regarding fire safety

With increasing population, the demand for high-rise residential buildings has been increasing. The challenges posed by firefighting and evacuation during fires in high-rise buildings have attracted considerable attention. This study explores the fire safety facilities and management in high-rise residential buildings in Vietnam and the knowledge and awareness of residents regarding fire safety. These aspects were assessed using a questionnaire answered by residents of 32 high-rise buildings in Vietnam. The answers reveal that most residents had basic knowledge of fire safety in high-rise buildings, but their preparedness of a fire event was inadequate. It is recommended that the implementation of safety regulations and measures for reducing the risk of fires in buildings be enforced. Besides analyzing descriptive statistics, a multiple regression analysis was conducted to explore the key factors influencing the level of awareness and knowledge of fire safety among the residents of high-rise buildings. The results indicate that education level, gender, living floor, and participation in fire drills are the key factors influencing residents' levels of knowledge and awareness. The survey results serve as supportive reference for the relevant stakeholders for reducing the risk of fires and the resulting losses. Furthermore, this study offers valuable insights for future studies on high-rise residential buildings in Vietnam at larger scales.

On the energy impact of cool roofs in Dubai

Urban warming can significantly increase the energy demand for building cooling. As temperatures rise, buildings require additional energy for air conditioning, which can lead to higher electricity demand and increased greenhouse gas emissions. This can create a positive feedback loop, as increased energy demand leads to increased waste heat and further exacerbates the urban warming effect. To solve this issue, this study integrates high-resolution meteorological data from the Weather Research and Forecasting coupled with Single Layer Urban Canopy Model (WRF/SLUCM) into CitySim for the first time to evaluate the building energy demands at various building types in Dubai metropolis. Examining how cool materials reduced cooling loads was achievable utilizing modified albedo in Dubai's downtown buildings. An increase of urban albedo from 0.2 to 0.8 significantly lowers the urban heating effect, as well as the building cooling needs. The study shows that for albedo scenario 0.8, Low-rise residential buildings experienced cooling load reductions of about 13.1 kWh/m2 and 6 kWh/m2 for buildings without insulation and those with insulation, respectively, compared to the base case. Additionally, high-rise residential buildings saw cooling load reductions ranging from 7.7 kWh/m2 to 11.7 kWh/m2 for buildings without insulation and a cooling load reduction of 3.6 kWh/m2 to 5.4 kWh/m2 for insulated buildings. This study provides a tool for regulating the energy impact of cool roofs in different urban settings using energy simulation, which could help policymakers control the energy needs in subtropical desert urban environments.

Impact of urban heat island on high-rise residential building cooling energy demand in Hong Kong

This study aims to investigate the impact of urban heat island (UHI) on cooling energy demand in high-rise residential buildings, with a primary focus on cooling-dominated regions. We take Hong Kong, a typical highly urbanised city with a humid subtropical climate, as a representative case. Multiple year-by-year EnergyPlus simulations were conducted using 20 years of actual meteorological data (1999–2018) from one urban site and one rural site for a typical 40-storey residential building. Cross-sectional analyses were performed in inter-annual, seasonal, and diurnal scales to comprehensively examine the temporal dynamics of cooling-relevant energy impacts of UHI. Regression analyses were conducted to reveal the relationship between UHI’s energy impact and UHI intensity (UHII). Results show that UHI causes an increase of 6.0% in cooling energy demand for high-rise residential buildings in Hong Kong. Such impact reaches a daily (intra-annual) minimum/maximum of −1.4%/+21.8% (+3.5%/+28.3%) at 5 pm/6 am (in summer/winter) and diminishes by an average rate of 1.7% per decade likely due to the urbanisation in rural regions. Each 1 °C increase in UHII causes an increase of 7.9%/16.1%/36.9% in seasonal cooling energy demand for summer/transitional seasons/winter, respectively. This study reveals that UHI's intricate temporal dynamics can lead to heterogeneous effects on building energy performance. Besides, distinct patterns of UHI-driven cooling energy profiles between high-rise and low-/medium-rise buildings are identified. Moreover, this study underscores the importance of employing multiple year-by-year meteorological data and addressing season-specific nonlinearity in building energy research to ensure the reliability of findings against the backdrop of climate change.

Comparative analysis of two evacuation simulation tools when applied to high-rise residential buildings

Currently there are numerous emergency evacuation simulation tools with varying levels of sophistication and differing capabilities. It is expected that investigating the same scenarios using different tools might not give the same outcome. This paper illustrates how a microscopic agent-based modelling tool (Pathfinder) and a macroscopic flow-based modelling tool (Evacuationz) can be setup to investigate high-rise residential building evacuations in comparable ways by varying configuration parameters. Both tools represent individual agents with associated characteristics (e.g., walking speed and pre-evacuation delay). These are varied in the scenarios examined to stress-test the designs or explore the impact of design/procedural changes.The two tools differ in how they deal with the building geometry and therefore have different algorithms to manage evacuee movement. In this work, assumed performance parameters (e.g., travel speeds, spacing, etc.) have been calibrated to better align the conditions represented in the tools and the outcomes produced across the scenarios examined. This then allows the tools to function at their respective levels of sophistication and granularity (providing different perspectives on performance) but adopt a more equivalent performance baseline given the calibration effort.The use of two tools increased confidence in the predictions, and also allowed for an examination of a wider range of scenario conditions such as number of stairs, stair width, and building size, given the different computational expense associated with the tools.

Enhancing domestic hot water energy efficiency in High-Rise residential buildings through interconnected and sharing mode

Residential buildings in China are consuming over 20 % of their operating energy on domestic hot water (DHW), a percentage that has been increasing in recent years. The use of energy-efficient water heaters is a direct solution to reduce DHW energy consumption, but high costs and installation requirements often deter households from adopting them. This issue is particularly prevalent in high-rise residential buildings, resulting in a low adoption rate of energy-efficient water heaters in China's high-rise residential sector. To address this challenge, this study proposes a DHW interconnected and sharing mode as a novel approach to enhance DHW energy efficiency in high-rise residential buildings. A dynamic performance calculation model based on the China Energy Efficiency Label (CEEL) for various types of water heaters was developed to evaluate the energy efficiency of this mode. The total energy consumption, carbon emissions, and energy costs of the building were assessed under both decentralized mode and interconnected and sharing mode. The findings indicate that implementing the interconnected and sharing mode can significantly decrease the annual total energy consumption, carbon emissions, and energy costs of DHW. Among the two operational strategies examined (economic optimal and environmental optimal), the economic optimal strategy is more suitable for China's current energy landscape. Under the economic optimal strategy, the annual total energy consumption, carbon emissions, and energy costs of DHW in the target building are reduced by 41.58 %, 27.97 %, and 34.87%, respectively.

The influence of ventilation on airborne transmission between stacking toilets

Multiple COVID-19 outbreaks in high-rise residential buildings have been linked to the vertical spread of the virus along the building. This study aimed to provide empirical evidence and experimental results to evaluate the effects of toilet ventilation on the spread of bathroom aerosols in high-rise residential buildings. This study explored potential transmission pathways by conducting tracer gas experiments in a full-scale mock-up toilet facility and identified effective strategies to minimize tracer gas surge and overall exposure. A novel IoT-enabled tracer gas sensing network was used to evaluate tracer gas dispersion from a lower-floor toilet to an upper-floor toilet and the roof under 32 different ventilation conditions of windows, exhaust fans, and forward-facing wind. The findings confirmed the potential for vertical airborne transmission through toilet ventilation and suggested effective ventilation strategies for forward-facing wind and no-wind conditions. This study provided novel experimental results on vertical aerosol transmission, contributing to further analysis and validation in this field. Appropriate ventilation measures were also discussed to ensure clean, virus-free air intake, reducing the risk of airborne cross-infection via the vertical transmission pathway.

Between Laws and Trends: Unraveling the Dynamics of Vertical Housing Units’ Development under Institutional Forces in the Brazilian Amazon

This paper is based on the recognition of a phenomenon occurring in the real estate market of Belém, Pará, in the Brazilian Amazon. The phenomenon refers to the relative increase in the size of the balconies of residential apartments launched in the city between 2005 and 2017 by construction companies, with the aim of increasing the number of units built per tower. Given that balconies were originally areas of low frequency for the occupants of apartments in this region, the aim of this article was to identify and analyze the institutional factors that support this product development strategy, which is becoming increasingly consolidated among companies. To investigate this phenomenon, we collected data from official documents provided by the Municipal Urban Planning Department (Secretaria Municipal de Urbanismo—SEURB), specifically focusing on the launch of residential high-rise buildings during the specified period. Regression techniques with ordinary least squares methods were applied, as well as econometric models of spatial autocorrelation. The results of the hypothesis tests confirmed the relationship between the restrictive parameters imposed by the city’s Urban Master Plan and the relative increase in apartment balconies. The spatial autocorrelation models confirmed the spatial spillover effect, showing that apartment projects with this characteristic tend to be concentrated in certain areas of the city, influencing each other. In order to discuss this phenomenon, the institutional theory was the protagonist of the analysis, showing how an organizational strategy can adapt to the authority that regulates the occupation of urban land in the city, meeting the two market forces and the demand and supply of apartments.

Duration and Labor Resource Optimization for Construction Projects—A Conditional-Value-at-Risk-Based Analysis

The complexity and uncertainty of construction projects contribute to low efficiency in the construction industry. This research applied the Takt-time planning method to optimize the construction working process, and proposed a risk control framework based on Value at Risk (VaR) and Conditional Value at Risk (CVaR) approaches to explore and predict a project schedule and cost performance under different scenarios. This research selected a high-rise residential building project for a case study and collected 1672 productivity data samples. Arena Simulation models were established based on 90 combinations of labor assignments to assess Takt-time planning strategies’ impact on project performance in four scenarios. The VaR and CVaR evaluations at 75% and 90% confidence levels were compared to balance project benefits and risks. Without any overtime or additional workers, this research found a Takt-time planning method that can reduce the project duration by 20.2% and labor costs by 2.1% at the same time, using a labor assignment of 12 bar placers, 12 carpenters, and 5 pipefitters. The findings can assist construction managers to achieve a shorter duration, reduced cost, and safer work environment, which will be very effective and beneficial to improve project overall performance.

Falls from height in children: epidemiology and outcome.

Childhood injury is one of the leading causes of death globally, with falls being the sixth leading cause. This study aimed to examine the demographics, patterns of injury and temporal risk factors for falls from height above 3 m in Singapore. This is a retrospective study conducted on patients who presented after a fall to a paediatric emergency department at a tertiary hospital between January 2011 and July 2017. Electronic medical records were reviewed to extract demographics and data on the patterns of injuries. Criteria for inclusion were patients under 18 years of age and the occurrence of fall from a height of 3 m or above. A total of 149 children met the inclusion criteria. The median age was 10 years and 69.1% were boys. Death occurred in two (1.3%) cases; 84 (56.4%) were admitted and survived. Of those admitted, five (3.4%) required care in the intensive care unit and 11 (7.4%) required surgery. Falls occurred mostly at homes or residential buildings (n = 59, 39.6%). The two cases of mortality were due to falls from windows at homes. Twenty (33.9%) children fell from windows at homes, with two requiring admission to the intensive care unit. Our study shows that falls from windows of homes are an important cause of mortality. Height of fall was also an important predictor of morbidity that led to a higher level of hospitalisation care. Preventive measures should be implemented to ensure safety in high-rise residential buildings to prevent paediatric falls from heights.

On the Performance of Solar Thermophotovoltaics (STPVs) and Wavelength-Selective Thermophotovoltaics (TPVs): Case Study of a High-Rise Residential Building in a Hot and Semi-Arid Climate

Utilizing integrated solar systems and renewable energy sources has the potential to not only decrease the CO2 emissions of buildings but also provide access to more affordable energy alternatives compared to fossil fuels, especially considering the recent rise in prices. Nevertheless, many designers and project decision makers are hesitant to embrace solar technologies due to the uncertainty surrounding the cost–benefit balance. This paper presents a case study of the design process, highlighting the energy-saving and cost–benefit aspects of a solar façade featuring solar thermophotovoltaics (STPVs) and wavelength-selective thermophotovoltaics (TPVs) in a high-rise residential building situated in the semi-arid climate of Tehran, Iran. The simulation methodology consists of EnergyPlus Engines in Rhino, along with the Ladybug and Honeybee plugins throughout the solar façade design process. The solar façade incorporating STPV yielded energy savings of 25 kWh per square meter, marking a 34% reduction compared to a standard façade. In contrast, the TPV demonstrated energy savings of 35 kWh per square meter, indicating a 48% decrease in energy consumption compared to a regular façade. This research indicates that, particularly in semi-arid climatic conditions, TPV systems exhibit a superior performance when integrated into the façades of high-rise structures; yet, due to the low electricity prices in the region, neither STPVs nor TPVs are financially viable. The study contributes to raising awareness, fostering technological innovations, influencing policy discussions, and promoting the adoption of sustainable practices in the field of energy and architecture.

Intelligent floor plan design of modular high-rise residential building based on graph-constrained generative adversarial networks

In the context of Modular High-Rise Residential Buildings (MHRBs), designing floor plans involves intricate complexities due to the need for adherence to numerous domain-specific design rules. To address this issue, our research introduces a novel framework based on a Graph-Constrained Generative Adversarial Network (GC-GAN) specialized for generating MHRB floor plans. This enhanced GC-GAN incorporates knowledge graphs that encapsulate domain-specific constraints and guidelines, thereby generating floor plans that exhibit realism, diversity, and conformity to established design principles. Additionally, the framework integrates a sophisticated image-to-vector conversion algorithm that enables seamless alignment with a predefined flat-design standardization library. A salient feature of this framework is the automated generation of Building Information Modeling (BIM) models, which rigorously conform to the modularity specifications essential for efficient modular construction. The efficacy and practical applicability of our approach have been validated through an exhaustive analysis covering fifteen cases across five diverse scenarios.

Integrated Value Model for Sustainable Assessment of Modular Residential Towers: Case Study: Ten Degrees Croydon and Apex House in London

Modular construction can become sustainable by making all aspects of the design and construction process more effective during all phases. This paper aims to develop and use a sustainability assessment model for modular residential buildings in two case studies. This research uses the Integrated Value Model for Sustainable Assessment (MIVES), which is a multi-criteria decision-making model for sustainability assessment. This model considers all aspects of sustainability, environmental, economic and social, and helps stakeholders make decisions. Few previous studies have assessed all these aspects in full and MIVES make this assessment possible. For assessment purposes, two modular buildings have been chosen, namely “Ten Degrees Croydon” as the tallest high-rise modular residential building in the world and “Apex House” as the second tallest modular building in the world, both in London. These residential towers were assessed using MIVES, demonstrating a very satisfactory sustainability index in all the above aspects.

ИССЛЕДОВАНИЕ ВЕТРОВОГО РЕЖИМА СУЩЕСТВУЮЩЕЙ ЖИЛОЙ ЗАСТРОЙКИ В УСЛОВИЯХ ЖАРКОГО КЛИМАТА

The article focuses on the microclimate of dense residential buildings in a hot climate and ensuring the wind comfort of people there. It considers the aeration of a complex built up with high-rise and low-rise residential and public buildings. The numerical simulation method is used in the ANSYS Discovery Live software package. The paper presents the analysis of the comfort of the wind regime on the territory of the residential complex with the allocation of aeration zones according to wind speed and gives recommendations to reduce stagnant aeration zones. It also considers the aeration of a residential complex improved by the installation of wind screens. The results obtained and the revealed patterns will help to better assess the architectural and planning solutions of residential buildings, including buildings within existing districts, in terms of the comfort of people staying in these territories.

Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm

Abstract With the rapid development of urbanization and the continuous growth of population, the design and planning of high-rise residential buildings have become increasingly important. The purpose of this study is to explore the space optimization design method of high-rise residential buildings based on genetic algorithm(GA), focusing on the comparative analysis between traditional GA and Adaptive genetic algorithm(AGA). In this paper, AGA is used to establish the spatial optimization model of high-rise residential buildings. By dynamically adjusting the parameters of the algorithm, AGA makes the algorithm better adapt to the characteristics of the problem and improves the search efficiency. The results show that AGA is superior to traditional GA in global convergence probability, especially when the population size is large. AGA improves the adaptability and robustness of the algorithm by dynamically adjusting the crossover and mutation probability. AGA has better flexibility and adaptability in the design of high-rise residential buildings and is expected to provide more optimized solutions for solving complex design problems. The findings of this study provide a useful reference for innovation and sustainable development in the field of high-rise building design and also provide practical methods and tools for the application of GA.

Relationship between the Maintenance Management Problems and the Maintenance Performance of High-Rise Residential Buildings

Building maintenance is the practice to retain the property habitable and functioning as it is designed for. However, the effectiveness of maintenance management appears to be the issue in housing context. Many maintenance management problems still exist up to date. They are likely to influence the service quality and resident satisfaction. Therefore, the objective of this research is to establish the relationship between the maintenance management problems and the maintenance performance. The research adopted quantitative approach to achieve the research aim. The approach comprised of literature review, questionnaire survey using google form that included both close-ended and open-ended questions. Based on the literature review, fourteen (14) maintenance management problems of high-rise residential buildings are identified. From the correlation analysis result, two (2) significance correlations are determined. The maintenance budget overrun is significantly correlated with the ratio of actual maintenance spent to planned maintenance cost (cost variance) of high-rise residential building, and a significant correlation occurs between unavailability of spare parts and ratio of actual to planned maintenance downtime (equipment effectiveness) of high-rise residential building. Besides, the opinions and strategies on solving the maintenance management problems were provided, including educating the residents about the Strata Management Act 2013, selecting qualified maintenance contractor, outsourcing the maintenance services, implementation of preventive maintenance (PM), hiring specialist to perform special maintenance work, providing training for maintenance staffs, formulating the building maintenance regulation, ensuring transparency of financial account, and setting up maintenance policy.

REVIEW OF AIR POLLUTION RESEARCH RESULTS ON THE EXAMPLE OF TBILISI

Background: Air pollution is one of the significant environmental challenges facing modern humanity. Atmospheric air is polluted with harmful substances emitted from anthropogenic and natural sources. Aim: The presented paper provides an overview of monitoring results conducted in the Capital of Georgia for 2023. Results from air quality monitoring sensors show that particulate matter, sulfur, and nitrogen dioxide represent problematic pollutants in different city areas. Methods: The research was carried out through sensors installed in different districts of Tbilisi. The investigation was carried out within the NATO SPS program project REACT. Results: Atmospheric air pollution was monitored at four stationary sensor sets on K. Cholokashvili, Nutsubidze Street, Chavchavadze Avenues, and the Old Tbilisi area. The results are presented in the article in the form of tables. Discussion: Average indexes of sulfur dioxide and PM particles were observed in all areas. Nitrogen dioxide indices were both low and medium. Conclusions: Based on the data obtained, it can be assumed that the air in most districts of Tbilisi is moderately polluted, and in some cases, the data exceeds the maximum allowable norm. There may be several reasons for this.: 1. Unauthorized slashing of Green islands and massive construction of high-rise residential buildings on their place in Tbilisi. 2. Malfunctioning vehicles, the technical inspection of which has recently been made stringent. However, some vehicles still pollute the air. 3. Emissions produced by mini factories and enterprises.

Efficiency Analysis of the Photovoltaic Shading and Vertical Farming System by Employing the Artificial Neural Network (ANN) Method

Productive facades, consisting of photovoltaic shading and vertical farming systems, have been proposed as a means to improve the thermal and visual status of residential buildings while also maintaining energy performance and providing vegetables. However, how to quickly and accurately predict electricity and vegetable output during the numerous influencing architectural and environmental factors is one of the key issues in the early stages of design, and few studies have investigated the impact of such structures on both indoor environmental qualities and production performance. In this paper, we present a novel prediction method that uses experimental data to train and test an artificial neural network (ANN). The results indicated that using the Bipolar Sigmoid activation function to process the experimental data input to the artificial neuron network gives more accurate predicted results both in the yield of photovoltaic shading and vertical farming systems. In addition, this prediction method was applied to a typical high-rise residential building in Singapore to assess the self-sufficiency potential of high-rise residential buildings integrated with productive facades. The results indicated that the upper part of the building can meet 20.0–23.1% of the annual household electricity demand of a family of four in a four-room residential unit in Singapore and almost the entire year’s vegetable demand, while the middle part can meet 18.4–21.2% and 89.1%, respectively. The results demonstrated the importance of a productive facade in reducing energy demand, enhancing food security, and improving indoor visual and thermal comfort.

Implication of Shading Passive Strategies in Buildings of Hot and Humid Climates for Energy Optimization: Lessons from Vernacular Dwellings in Nigeria

Residential buildings consume approximately 30% to 40% of total primary energy, representing a significant share of the world's energy consumption. The contemporary designs of residential high-rise buildings in Nigeria borrow from different climates and adapt to Nigeria's hot and humid climate. Shading is an effective strategy for reducing solar heat gain and improving cooling conditions in hot and humid climates. This study tries to explore the most effective and most adaptable shading elements in the study area to be implicit in the contemporary design of high-rise residences. This study has a particular emphasis on shading techniques; hence, it will examine and present existing literature on shading devices and strategies. The aim of this research is to minimize energy consumption in residential buildings in Nigeria. Therefore, the research investigates the most effective shading strategies in the vernacular buildings that can be utilized as design criteria in future buildings. The findings led to identifying the effective and adaptable shading strategies found in vernacular architecture, which can be utilized in contemporary high-rise residential buildings in Nigeria for energy optimization. Finally, the research suggests guidelines to support architects in reducing energy usage in high-rise residential buildings in Nigeria.

Study on flow characteristics of exhaust shaft with parallel fans in high-rise residential buildings

The exhaust shaft is often used to centrally extract cooking fumes captured by parallel fans on each floor of high-rise buildings. Inadequate airflow rate and excessive pressure in the exhaust shaft lead to poor ventilation and unsatisfactory air quality in kitchens. This issue is made worse by mixed installations of exhaust fans with different dynamic performances. In this study, the flow characteristics in the exhaust shaft with parallel fans are investigated by full-scale experiments and computational fluid dynamics (CFD). Based on the orthogonal experimental design, the cross-sectional area, concurrent operating rate, operating position distribution, and P-Q curves are key factors affecting the flow rate distribution significantly. Mixed installation of fans deteriorates the uniformity of the flow distribution along the shaft by even 62.6%. The competition for flow rate between different types of fans is obeying the Matthew effect. Concentration at the bottom and more simultaneous operations exacerbate this problem. An 28% enlargement in the shaft size increases the flow rate by 28.9% and improves the uniformity of the flow distribution by 50%. The stack effect is positive and unstable, with up to a 6.49% increase in system flow rate as a function of the cooking heat intensity. This work can provide guidance for the design of centralized exhaust systems in high-rise residential buildings.