Residential Housing Research Articles

P19-65 Human health risk assessment of metals in PM2.5: evaluating the concentration of metals within residential houses in Porto metropolitan area

P19-65 Human health risk assessment of metals in PM2.5: evaluating the concentration of metals within residential houses in Porto metropolitan area

How to cool a warming world? – The potential of photovoltaic green cooling with natural refrigerants in sunbelt countries

The study investigates the economic feasibility of photovoltaic-powered air-conditioning (AC) systems in thirteen different sunbelt countries. Two different technical solutions have been analysed: (i) hybrid (partially PV powered, grid-connected) and (ii) off-grid (fully PV powered, no grid connection). These two solutions have been studied for three different locations in each country, namely minimum, average and maximum annual global solar irradiation on the horizontal. Lastly, each solution and location has been examined for application in the residential and commercial sector. All solar-based air-conditioning scenarios use high efficiency AC appliances with R290 as refrigerant (Global Warming Potential – GWP of 1) and have been compared against a base-case scenario using AC units with moderate efficiency AC appliances with conventional R410a refrigerant (GWP of 2088) and 100 % grid electricity supply. The scope of the study is to identify the economic potential of solar PV cooling technologies. Levelized Cost of Electricity (LCOE) and Net Present Value (NPV) have been calculated for each scenario as part of the comparative analysis. It was found that hybrid photovoltaic-based air-conditioning for a residential house has a financial advantage over grid-based air-conditioning in eleven out of thirteen countries investigated. Exceptions are Ghana and Vietnam. Off-grid photovoltaic-based air-conditioning for residential houses is only economically feasible in five out of thirteen countries, namely Costa Rica, Iran, Grenada, Philippines and Thailand. Hybrid photovoltaic-based air-conditioning for a small commercial building has a financial advantage over grid-based air-conditioning in ten of thirteen countries, except in Colombia, Ghana and Iran. Off-grid photovoltaic-based air-conditioning for a small commercial building is only feasible in China, Grenada, Kenya and Philippines.

The Flint Water Crisis and the Perpetuation of Environmental Racism in Flint, Michigan (2014–2018)

The nexus between environmental racism and racial capitalism has been well documented. However, the government is often blamed for the perpetuation of some forms of environmental racism. Nonetheless, blaming the government for environmental racism without documenting some actions and policy implementation by the government to mitigate or prevent the re-occurrence of environmental racism tends to be a one-sided view. Consequently, this study examines how the American government plays some roles in the occurrence of environmental racism, that is, the Flint Water Crisis (FWC) in Michigan. Racial capitalism theory is used as a theoretical lens in this study. Racial capitalism, historical residential housing policies, anti-blackness or devaluation of Black bodies, the appointment of Emergency Financial Managers, environmental racism, neoliberalism, laissez-faire, and color-blind racism were the mechanisms driving the occurrence of the FWC. The different actions and policies that were taken by the American government to mitigate or prevent the re-emergence of FWC were also documented. Although, these actions were taken after the occurrence of the FWC. The materials-based method (secondary data) was not only adopted to provide answers to the research question that this study answered but was also used to explain the global dynamic and operation of racial capitalism.

Spatio-temporal distribution and peak prediction of energy consumption and carbon emissions of residential buildings in China

With the acceleration of urbanization and the improvement of people's living standards, the carbon emissions of residential buildings (BCE) in China have been increasing, hindering the achievement of carbon peaking and carbon neutrality goals. It has become increasingly urgent and important to analyze and grasp the dynamic trends of BCE. Given the notable regional variations in carbon emissions, it is necessary to delve into the distribution characteristics of BCE and the underlying factors influencing them. First, based on the emission factor method, the energy consumption and carbon emissions calculation models are established. Next, the main influencing factors are obtained by improving Kaya's constant equation. Meanwhile, the GA-PPC-Kmeans model is established to divide BCE into different regions. Then, the STIRPAT-Ridge model is built to predict the peak carbon emissions. Finally, a combination of static and dynamic methods is used to forecast peaks under three scenarios, which are low-carbon (LC) scenario, baseline (BA) scenario, and high-carbon (HC) scenario. The results show that five pivotal factors significantly impact BCE in China, which are energy carbon emission intensity (ECEI), energy intensity (EI), economic density (ED), residential housing level (RHL) and population size(P). Furthermore, BCE is categorized into five distinct regions: low-carbon demonstration area, energy efficiency improvement area, carbon concentration and innovation area, high-carbon optimization area, and carbon poverty development area. Under BA scenario, the peaks for BCE in these regions converge primarily around 2040 and 2045. This study provides a regional research perspective for China's residential buildings to reach the peak of carbon emissions, and serves as a reference for formulating carbon emission reduction plans in different regions.

Technoeconomic analysis of solar PV electrification to remote areas of Dera Ghazi Khan: A case study

With the increase in population at an immense rate, electricity demand is growing exponentially. Researchers and policymakers are seeking alternating means of power generation to meet the load demand. These resources should be cost-effective, environmentally friendly and least carbon emissions. To mitigate the load demand Renewable Energy Sources (RES) are integrated into electrical networks. In this work, an off-grid solar photovoltaic (PV) system is designed for rural areas of Dera Ghazi Khan (DG Khan), Pakistan. These areas often lack access to reliable grid power. Installing PV systems in these areas can help provide a reliable source of electricity, reduce reliance on fossil fuels, and improve living conditions. This case study is simulated using PVsyst 7.2. of Roonghan village such as hospitals, shops, and residential houses for techno-economic analysis of off-grid solar PV. The economic viability shows that installing off-grid solar PV in DG Khan is much cheaper. The electricity taken from the grid that's almost 80.01%is expensive. This case study helps other researchers and policymakers to mitigate the electricity requirement of remote areas located far away from the national grid. To install a transmission line, having cost $26.98 corer but using an off-grid to provide electricity to the same area is $2.16 corer. Additionally, it integrates Battery Energy Storage (BES) with Renewable Energy Sources (RES) to achieve a 5 % annual energy cost reduction and enhanced self-sufficiency, filling a gap in existing literature.

Determinants of housing demands and residential rent costs in an emerging city in Southern Nigeria

Housing is vital to human experience. It is the basis and foci of daily activities. In Asaba, a strategically located, fast-growing metropolis, city officials are confronted by myriads of urban planning issues, one of which is provision of urban housing. This study attempted to identify the determinants of housing demands and costs of residential rents within the city (Asaba). In this study, the ex-post facto and survey designs were deployed. The data for the study comprised of the primary (questionnaire data) and secondary (historical housing data) types. For effective questionnaire administration, the study area was stratified into high, medium and low income areas. The Analysis of Variance (ANOVA) and the Spearman's rank correlation coefficient were deployed for data analyses. The results indicated that the key determinants of residential housing demand and costs were ease of access to public transport (69 %), nearness to security formations (80 %) and higher demand for houses in supply (75.8 %); and the Spearman's rank correlation showed that these factors were significant at P < 0.05. Other factors such as availability of electricity and access to water supply were not significant determinants of choice of housing at P > 0.05. This is due to the fact that the whole region lacks adequate electricity supply and water is self-harnessed through boreholes. ANOVA showed that there was a significant temporal variation in the cost of residential housing rents at p<0.05 (F-69.03; sig 0.000). Consequently, this study recommends that there is need for the decentralisation of the city; which should be realised by an efficient development of the suburbs to high standards that would meet the requirements of prospective renters. Policy development and establishment of basic facilities in the suburbs, would help actualise this decentralization. Also, collaboration between government and private developers could yield more supply in the housing stuck, consequently reducing costs of housing.

A Brief History of Social Housing in Spain: Residential Architecture and Housing Policies in the 19th and 20th Centuries

A Brief History of Social Housing in Spain: Residential Architecture and Housing Policies in the 19th and 20th Centuries

Government expenditure and the housing puzzle: Unpacking mechanisms

Shocks in housing demand can trigger economic downturns, prompting governments to boost public consumption to mitigate its impact. The literature has found conflicting effects of government spending on residential investment and housing prices. We hypothesize that differences in the construction sector’s responses may be due to factors unaccounted for in the estimations, such as labor supply response to wage changes, labor reallocation between sectors, and the amount of household debt. Using a dynamic general equilibrium model, we demonstrate that government consumption boosts tradable goods production, resulting in increased labor demand and wages. However, this diverts workers away from construction, potentially deepening the wound in this sector. Specific labor market attributes and economic indebtedness can catalyze worker displacement from the construction sector, thus adversely affecting residential investment and overall credit. As a result, borrowers face considerable welfare losses. Redirecting government spending toward housing sustains residential activity while exacerbating the overall welfare decline. Our analysis provides plausible explanations for the disparate empirical evidence on the impact of government spending on the construction sector.

Sorption-based atmospheric water harvesting for continuous water production in the built environment: Assessment of water yield and quality

Sorption-based atmospheric water harvesting (SAWH) is a promising solution for localized high-quality water production. Application of SAWH indoors offers dual benefits of on-site water generation and humidity control. This study evaluated the use of SAWH for water production in residential or office buildings, employing a portable zeolite-based SAWH device. Over the twelve-month testing period in the arid southwestern USA, the device achieved a median water yield of 3.6 L/day at a cost 30 % less than bottled water sold in the U.S. A mathematical model was developed for predicting water yield under different temperature and relative humidity (RH) conditions. Daily water yields were well fitted with the modified Langmuir model, with absolute humidity serving as the only prediction variable. Water extracted from a well-ventilated office building generally met the drinking water standards set by USEPA. However, elevated levels of dissolved organic carbon (DOC) were detected in the samples collected from the residential house (median = 32.6 mg/L), emphasizing the influence of human activities (e.g., cooking) on the emission of volatile and semi-volatile organic compounds in the air, which consequently reside in harvested water. Aldehydes and volatile fatty acids (formate, acetate) comprised roughly 50 % of the DOC found in the AWE water. A carbon fiber filter was not effective at removing these substances, highlighting the need for further research into effective treatment methods for DOC management before the safe use of AWE water. Overall, this study provides critical insights for the practical application of indoor SAWH as a decentralized source of high-quality water and emphasizes the need to identify and manage DOC for its safe use.

3D Construction Printing as a Tool for Forming the Design Methodology of an Actual Modern Object of Architecture and Construction

An analysis of the experience of the design and construction of objects of modern architecture, reflecting in an aesthetic image, a high -tech direction and brightness of the image. In particular, the features of 3D construction printing with a variety of approaches and purposes of using this technology in the field of architecture are considered.The purpose of the research and analysis is to bring the theory of technological capabilities, their practical application and the relevance of modern architectural solutions into design methods, on the basis of which it is possible to form general trends and directions of aesthetic images of modern architecture.The article presents an approach to the design of a residential housing facility based on the analyzed experience and selected methods of architectural design, taking into account their subsequent implementation by 3D construction printing.

MULTI-OBJECTIVE OPTIMIZATION STUDY OF RESIDENTIAL ENERGY CONSUMPTION BASED ON EDH AND THE STOCHASTIC OPERATION OF AIR CONDITIONING

ABSTRACT Current requirements for residential energy-efficient design solutions in China are relatively homogeneous, requiring only improvements in overall building energy performance, often ignoring the energy differences between different residential housing units. This paper proposes a multi-objective research framework based on an occupant behavior model of air conditioning and a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to study energy-efficient design solutions for residential envelopes. The optimal energy-saving design scheme has a 22.56% and 35.34% reduction in energy consumption difference between residential units and overall building energy consumption, respectively, both of which have been optimized substantially. Moreover, the overall energy performance of the building can be improved when the “energy performance difference between housing units” (EDH) is reduced, which verifies that EDH is an important criterion for improving the energy performance of residential housing units.

Optimizing domestic energy management with a wild Mice colony-inspired algorithm: Enhancing efficiency and coordination in smart grids through dynamic distributed energy storage

Energy management (EM) is a critical strategy that spans the production and consumption of electricity, enhancing the stability of the electricity network. Smart grid technology significantly improves the electrical system's energy efficiency (EE), facilitating a transformation from a conventional power grid (PG) to a smart PG. This paper presents a key strategy for modeling the EE of the smart grid tailored to domestic demand, establishing smart coordination between domestic demand, energy production, and storage to reduce energy waste and costs. Our model integrates various energy sources, including renewable energy (RE), photovoltaic (PV) systems, wind power, and an energy storage system (ESS), interconnected with the PG. The model's structure ensures the coordinated flow of electricity in a residential house through an optimal control method (OCM). To develop a robust closed-loop control model, we employ Demand Response (DR) schemes within the Real-Time Electricity Pricing (RTEP) framework. We construct a dynamic model of the ESS to compute the System Performance Index (SPI), corresponding to energy costs. To enhance our model, we introduce a Dynamic Distributed Energy Storage Strategy (DDESS). Additionally, we introduce a novel optimization algorithm inspired by the behavioral patterns of wild mice, called the Wild Mice Colony (WMC). By analyzing the targeted and advantageous behaviors of wild mice in colonies, we propose that these behaviors can serve as a model for addressing complex, uncertain problems. This strategy is highly advantageous, capable of reducing total energy consumption (EC) from the main grid by over 100 % of the load demand, optimizing the energy system, and ensuring synchronization. The performance of DDESS optimizes energy flow (EF) during the repayment plan, leading to minimized EC costs from the PG.

Solar Cooling Alternatives for Residential Houses

Solar Cooling Alternatives for Residential Houses

Addressing the sustainable urbanism paradox: tipping points for the operational reconciliation of dense and green morphologies

To improve biodiversity and human living conditions in the Anthropocene, urban forms must reconcile density with vegetation to meet the dual sustainability-liveability challenge. This paradox poses a dilemma for urban planners and is a critical research issue requiring comprehensive analyses. Multi-family residential housing holds the potential to achieve balanced density-greening, proximity ecosystem services and human-nature connectedness, but meeting such objectives relies on finding balanced morphologies and metrics at an operational scale. Analysing 11,593 plots in the Lyon metropolitan area (France) using a systemic approach, we identified critical tipping points in morphology and greening. Density explained only 6% of Plot Greening, while morphology and landscaping accounted for 94%. We identified an open-space ratio (unbuilt area/floor area) >0.3 as a morphological threshold to achieve sustainable green supply. Operational morphologies balancing density and greening were modelled and illustrated across building heights, providing guidelines for emerging regulatory tools in sustainable urban planning.

Investigation of the energy performance of thermal energy sharing for photovoltaic-thermal systems in a thermal prosumer network

This study analyzes the potential for energy saving through the integration of a photovoltaic-thermal (PVT) system with a heat pump (HP) in a community with a small-scale thermal network. An empirical study was conducted in a community to analyze and compare the performance of a HP and small-scale thermal network with hub thermal energy storage system that utilizes the surplus thermal energy produced by a PVT system installed in a residential house from other buildings with that of an existing electric hot water boiler. The energy saving analysis of the proposed system revealed that the energy consumption could be reduced by more than 70 % compared to the existing system. The HP exhibited a COP ranging between 4.2 and 4.7. Throughout the experiment, the integrated system collected an average of 23.77 kWh of heat energy daily from the PVT units. The annual domestic hot water load coverage from PVT through the thermal network was found to be 50.4 %. These results indicate that PVT systems combined with thermal networks and HPs can effectively reduce energy consumption in individual buildings and enhance energy efficiency within communities.

Enhancing resilience: Integrating future flood modeling and socio-economic analysis in the face of climate change impacts

As climate change intensifies, future floods will become more severe in some areas with geographic variation, necessitating that local and regional governments implement systems to provide information for climate adaptation, particularly for vulnerable populations. Therefore, we aimed to develop a methodology to identify areas that are at an increased risk from future floods and independently socially vulnerable. In this study, 100-year recurrence interval flood extents and depths were estimated using an ensemble of six independent Coupled Model Intercomparison Project Phase 6 climate models for a past and future period under the highest-emissions climate scenario. The flood inundation results were related to social vulnerability for two selected study areas in the Mississippi River Basin. The range of flood extents and depths for both time periods were estimated, and differences were evaluated to determine the effects from climate change. To identify at-risk areas, the relationship between the spatial distribution of flood depths and vulnerability was then assessed. Finally, an analysis of the current and future damages on infrastructure from flooding on residential housing was performed to determine whether damages are correlated with higher vulnerability areas. Results show in every flooding scenario, flood extents and depths are increasing in the future compared with the past, ranging from an increase of 6 to 76 km2 in extent across both locations. A statistically significant relationship between spatial clusters of flooding and of vulnerability was found. The infrastructure analysis found that residential structures in the most vulnerable census tracts are 6 to 59 times more likely to experience moderate damage compared with the least vulnerable tracts depending on scenario. Overall, a framework was established to holistically understand the hydrologic and socioeconomic impacts of climate change, and a methodology was developed to use for allocating resources at the local scale.

Design and Optimization ofHybrid Renewable Energy Systems forA Residential House in Babylon, Iraq: Insights From Homer Software Analysis

The study investigates the development and improvement of hybrid renewable energy systems for a residential residence in Babylon, Iraq, utilising the HOMER programme. The project aims to determine the most efficient and cost-effective energy system design for residential usage, in response to the growing global need for sustainable and renewable energy sources. The process entailed examining different permutations of solar photovoltaic (PV) panels, wind turbines, and battery storage devices. According to the results, an off-grid photovoltaic (PV) and battery system is the most cost-effective option, with the lowest upfront investment and ongoing expenses. Nevertheless, the integration of wind energy, although enhancing thedependability and variety of the system's energy sources, results in higher upfront and ongoing costs. These findings offer vital information for politicians and engineers to implement renewable energy solutions that are customised to Iraq's specific meteorological and economic circumstances.

Assessing homeowners’ awareness of green technologies in residential housing development: evidence from Ghana

PurposeUsing and promoting green technologies in residential buildings might be a far more practical strategy for developing a sustainable built environment. The primary goal of this study is to examine homeowners' knowledge and awareness of the different green technologies and concepts that can be adopted to improve the quality of their homes.Design/methodology/approachThe study employed a sequential mix technique methodology in order to accomplish its goal. A total of 156 respondents were chosen for a survey within the research areas using a simple random sample approach, while interviewees were chosen using a purposive sampling approach methodology. Descriptive and inferential statistics as well as content analysis were used to analyze the quantitative and qualitative data, respectively.FindingsThe findings indicate that homeowners have moderate knowledge of green technologies. It was also evident that print and electronic media are excellent at capturing and reaching a diverse range of homeowners interested in learning about sustainable development issues. Furthermore, the top three green technologies that most homeowners are aware of are using local materials over imported materials, grey water reclaiming and reuse technology and solar water heating technology. Subsequently, the homeowners in the three communities have differing opinions about the majority (82%) of the green technologies examined.Originality/valueThe findings will serve as a useful guide to assist practitioners and policymakers in implementing appropriate methods to integrate green technologies into housing projects and subsequently encourage their adoption.

Generative Early Architectural Visualizations: Incorporating Architect's Style-trained Models

Abstract This study introduces a novel approach to architectural visualization using generative artificial intelligence (AI), particularly emphasizing text-to-image (txt2img) technology, to remarkably improve the visualization process right from the initial design phase within the architecture, engineering, and construction industry. By creating &amp;gt;10,000 images incorporating an architect's personal style and characteristics into a residential house model, the effectiveness of base AI models. Furthermore, various architectural styles were integrated to enhance the visualization process. This method involved additional training for styles with low similarity rates, which required extensive data preparation and their integration into the base AI model. Demonstrated to be effective across multiple scenarios, this technique markedly enhances the efficiency and speed of production of architectural visualization images. Highlighting the vast potential of AI in design visualization, our study emphasizes the technology's shift toward facilitating more user-centered and personalized design applications.

Will the Release of Presale Housing moderate or exacerbate residential price volatility? - Taking Apartmemt complexes Units in Taichung City as an Example

During periods of economic prosperity, increased profit opportunities lead to active transactions in the existing housing market and heightened consumer risk preferences. At this time, developers increase the launch of presale housing projects to expand business opportunities, indirectly filling the supply gap of existing homes and alleviating housing demand. However, in reality, prices in both the presale and existing housing markets mutually drive each other up, further delaying the stabilization of housing prices. Therefore, whether the launch of presale housing projects can alleviate the demand for existing homes and achieve the function of price moderation becomes a research-worthy question. This study aims to investigate whether the volume of presale housing projects moderates or exacerbates housing prices. We focus on the volatility of aggregate residential housing prices in Taichung City, Taiwan, using transaction data of monthly average prices for Apartmemt complexes Units (high-rise buildings and high-rise apartments) from August 2012 to June 2023. We employ the ARCH/GARCH models to analyze the impact of presale housing project volumes on housing price volatility. Stability and convergence indicate a moderating effect of presale housing project volumes on housing prices; otherwise, it indicates exacerbation. After model testing, this study selects the most appropriate model as the ARIMA(3,1,0)-GARCH(1,0) model. This study finds that during periods of economic prosperity, the volume of presale housing projects does not aid in stabilizing or converging residential housing prices; instead, it exacerbates market disruption.