Buildings In South Africa Research Articles

Historical buildings in South Africa

Historical buildings in South Africa

Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa

Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa

Framework for a Simulation Learning Tool to Optimize Green Star Buildings in South Africa

The Green Building Council of South Africa specifies nine parameters for energy efficiency in buildings. These parameters are in dynamic systemic interaction with each other and with other building design elements. Therefore, the issue of optimization in terms of the Green Star rating system is a complex problem that defies complete resolution and sustainability. Partial resolution, using algorithmic optimization convergence and simulation techniques, holds potential. The specific problem that this paper confronts is the need for engineers, and others, to be able to assess energy-efficient early design decisions within tight time frames. A proposition is made regarding further developing a “green” simulation learning tool for practitioners. This paper explores the potential of MATLAB and EnergyPlus to create a simulated learning space for green energy optimization. While recognized as being an abstraction from the total set of nine Green Building Council of South Africa parameters, the purpose is to introduce principles that can be extended into a multi-variable, more complex context of multiple sustainability criteria. This paper concludes with a framework for a simulation model that optimizes one of the Green Star criteria of the Green Building Council of South Africa supported by case study data for four, five, and six star rated buildings.

First-order approximation towards empirical seismic vulnerability assessment of low-cost unreinforced masonry buildings in South Africa

The 5 August 2014 Orkney earthquake in South Africa caused significant damage to low-cost unreinforced masonry buildings. After the earthquake, post-earthquake surveys were conducted to assess damage and deduce the intensity experienced by these buildings. During these surveys, only buildings that were reported as damaged were investigated. This study conducted an empirical seismic vulnerability assessment using data collected from those surveys. However, for a comprehensive assessment, the data should include all buildings in the study area. Hence in this study, a first-order approximation was applied to gather sufficient data to construct fragility curves for low-cost unreinforced masonry buildings in South Africa. The damage probability matrix technique was used for fragility curve construction. The fragility curves were constructed using the intensity and damage data, statistical models, and model fitting techniques. The fragility curves obtained in this study predicted comparable but slightly lower damage compared to other curves for unreinforced masonry buildings of similar typology. Although the method applied was able to produce fragility curves comparable with other studies, it is recommended that in order to get a reliable fragility curves all the buildings in the study area should be investigated including those that suffered little to no damage.

Exploring the Effects of Green Portfolio on REITs’ Return Performance in South Africa

This paper investigates the extent of “greenness” of South African REITs; and whether green investments have any significant effects on the REITs return performance at the aggregate level. It used publicly-accessible green buildings and financial data obtained from the Green Building Council of South Africa’s (GBCSA) website and financial reports of 27 REITs that operate in South Africa, respectively. With only 11 REITs having green buildings in their portfolios, the results show phenomenal growth in the cumulative amount of green Gross Lettable Area (GLA) in under a decade – from a paltry 38,133 square metres of GLA in 2013, to over two million square metres of GLA in 2021. From panel analyses, consistent regression results show that green variables were positive and statistically significant across most of the estimated models. The statistically significant results imply that increased investments in green infrastructures have positive effects on REITs’ return performances. The study has implications for research and practice as far as the investments by REITs in green buildings in South Africa is concerned.

Thermal performance of cavities in 3DPC building façades

In the quest for sufficient and comfortable housing in South Africa, attention to building orientation and thermal transmittance principles has significantly improved thermal performance in local houses. Thermal simulation and monitoring of houses in the Joe Slovo Phase Three development in Cape Town confirms improved performance by solar radiation blockage and shading. This paper simulates the thermal performance of a housing unit in this development. The house was instrumented with thermocouples, and monitored from March to December 2013 by Sustainable Energy Africa in collaboration with the National Department of Human Settlements. Sustainable Energy Africa reported significant improvement when compared to a nearby traditional Reconstruction and Development Programme house that had been monitored during the same period. With the benefit of the monitored thermal data, complete drawings, and specification details of the Joe Slovo Phase Three unit, the current research modelled and calibrated a simulation model in DesignBuilder. DesignBuilder was selected given its accreditation status for Green Star Rating of buildings in South Africa. An additional motivation for investigating this unit was the availability of recorded weather data from the nearby Cape Town International Airport, captured in the DesignBuilder climate data base for 2013, which was assumed relevant in lieu of complete weather station data measured at the location of the housing unit. The study aimed to simulate the monitored temperatures in the house with acceptable agreement, and to investigate further potential improvement in occupant thermal comfort by alternative 3D-printed concrete walling developed by the authors. Systematic finite element analysis (FEA) iteratively solved cavity radiation and convection in wall cavities to calibrate thermal transmittance parameters for DesignBuilder. The FEA results acceptably simulated temperatures monitored in this physical wall experiment. The calibrated DesignBuilder model simulated the indoor temperatures of the monitored house with acceptable agreement, and predicted significant improvement in occupant thermal comfort if the walls were 3D-printed with a particular cross-sectional design.

Incentive mechanism for promoting the uptake of green building in South Africa

PurposeThe green building (GB) market is maturing after years of practice; therefore, incentives for promoting GB should be adapted to reflect the market transformation. Adapting incentives can positively influence stakeholders' motives, which in turn change stakeholders' behavioural intention towards GBs. Hence, this study aims to examine the parameters influencing the decision to adopt GB and to ascertain how incentive mechanisms promote the uptake of GB in South Africa.Design/methodology/approachUsing a scoping literature review and a sequential mixed research method, primary data were acquired from GB experts in four South African provinces. In analysing the quantitative data, the factors were ranked hierarchically using the mean ranking technique and factor analysis was computed to identify the underlying GB incentives. The qualitative data were analysed using content analysis.FindingsThe results indicate that incentive payment from a utility energy efficiency programme, rebates and discounts relating to environmentally friendly materials and products and providing grants to homeowners and developers to go towards certification were the most essential monetary incentives for promoting GB. In the category of non-monetary incentives, recognition of consultant team members and developers and free marketing/good publicity were the most important incentives. The incentive mechanisms were subsequently categorised as “Economic incentives” and “Reward scheme and technical support”.Research limitations/implicationsThis study was confined to four metropolitan areas in South Africa. Nevertheless, the outcomes have practical implications for GB projects in general and may serve as a good reference for other provinces in South Africa.Originality/valueThe findings of the study are a valuable resource for stakeholders such as the government, municipal assemblies, professional bodies and the Green Building Council of South Africa (GBCSA) in developing effective incentive mechanisms to promote GB adoption. This study adds to the body of knowledge relevant to GB incentivisation in South Africa.

IMPROVING ENERGY USAGE IN COMMERCIAL BUILDINGS USING SIX SIGMA DMAIC

This article describes the energy-saving measures in commercial buildings from different perspectives on energy saving in cities. In recent years, improving energy conservation in commercial buildings has become an issue of great importance for the financial well-being of organisations. The study uses the define-measure-analyze-improve-control (DMAIC) Six Sigma approach to identify the factors that contribute to increases in electricity consumption. With the increasing shortage of energy, two years’ worth of energy consumption data from a commercial building in South Africa was collected and analyzed using statistical tools. The research findings revealed that the boiler had the highest electricity consumption (38.33 per cent), followed by the kitchen (24.20 per cent) and the rest of the building (37.47 per cent). After applying the DMAIC process, it showed that the electricity consumption of the boiler could be reduced by 6 per cent during the improvement phase. Keywords: Six Sigma, DMAIC, Energy management, Energy consumption, Energy efficiency

Passive, Low-Energy Design and Green Star Strategy for Green Star-Rated Buildings in South Africa

Services surrounding green buildings are specialised and directed towards the process of design and comprise comprehensive and quantified management in its entirety. Implicitly, consultancies are unable to deliver this service at the standard and pace required in the preliminary stages of design, and not all clients or consultants will require the services to be essential. The main aim is to stabilise the several characteristics prompting one another to optimise design performance against the optimisation algorithms. Green Star is a universal evaluation tool, assessing not only green characteristics but also elements that influence wellbeing and occupant health, such as indoor environment quality. The tools for Green Star rating can be used to measure the green features of a building from the design phase right to the stage of site handover (known as “As-Built”). This paper refers, in the literature review, to the passive and low-energy design methods of a Green Star-rated building at early design stages. The “green” project management of a project is to coordinate multidisciplinary incorporation and to accompany the costing contribution tools presented in this paper. The passive and low-energy design tools discussed entails the amalgamation of electrical and mechanical services together with architecture, i.e., space layout and envelope design. This paper compares rationalised energy and indoor environment performance between two buildings against the activities and climatic conditions within a targeted Green Star-rated building. Proposals regarding 4- and 6-star ratings and techniques have been evaluated and presented for the two buildings.

The Analysis of the EDGE Certification System on Residential Complexes to Improve Sustainability and Affordability

In this paper, the characteristics of the Excellence in Design for Greater Efficiencies (EDGE) green building certification system in terms of the scope of certification, and environmental and social strategies focused on 6024 units in the 17 EDGE-certified residential buildings in South Africa was investigated. This research analyzed the efficiency of energy, water, embodied energy in materials, and annual CO2 emissions and their contribution to solving housing issues in the given context. This research revealed that the design of EDGE-certified buildings focuses on the “efficiency first” approach and reduced energy and water demand more than on-site energy production. In energy-saving strategies, energy-saving solutions are three times (69.2%) higher than energy-generating solutions (23.1%). The results on resource savings showed that, on average, embodied energy in materials (54%) is the most reduced resource, followed by water (31%) and energy (29.7%). The statistical analysis indicated that there is no statistically significant correlation between energy, water, embodied energy in materials, and CO2 savings with floor areas of the buildings. In addition, this research highlighted how EDGE certification has positively contributed to solving South Africa’s resource shortage and affordable housing scarcity problems.

Civil Society, COVID-19 Pandemic and State Corruption implications for Nation Building in South Africa

Civil Society, COVID-19 Pandemic and State Corruption implications for Nation Building in South Africa

Factors affecting effective facilities management practices in South Africa: a case study of Kwazulu Natal Province

Purpose Although facilities management (FM) has been advocated in the construction industry to address the issues of facilities in buildings, their adoption is still plagued with barriers. The factors affecting FM practices need detailed investigation. However, few studies have been conducted on the factors affecting FM practices in developing countries such as South Africa. This study aims to investigate the factors affecting effective FM practices in public buildings in South Africa. Design/methodology/approach To achieve this aim, a quantitative survey was carried out using questionnaire to gather relevant data in the study area. The collected data were analysed using descriptive statistics and principal component (factor) analysis. The study was conducted on 39 facilities managers in the Department of Public Works in KwaZulu-Natal Province, South Africa. Findings The descriptive analysis revealed that availability of funds, occupants’ knowledge of FM, absence of policy guiding FM practice, state of deterioration of facilities and design concepts and scope were significant challenges affecting effective FM practices in public buildings in South Africa. The result of the principal component analysis of the factors affecting FM practices were grouped into organisational factors, structural/design errors and end users’ elements. Research limitations/implications As it is widely understood that “money” plays a significant role in the performance of any activity or function, administrators/governments of public facilities should strive to plan and make appropriate finances accessible to facilities managers. Participation of facilities managers in the planning stage can also help reduce design flaws and their maintenance implications. In addition, adequate training for professionals can improve FM awareness and productivity. Originality/value The paper reveals the structural framework of the factors that can influence the effective facilities management practices in public buildings.

Making sense of the state: Citizens and state buildings in South Africa

Drawing on the example of South Africa, the article explores how the state, an incoherent and opaque set of ideas, discourses and relationships, is made into a ‘thing’ by its citizens. It describes how citizens encounter the state physically when they see, hear, touch and smell its buildings and how these different sensory engagements generate thoughts and impressions that help them make and unmake the state-thing. The argument is made first theoretically, drawing on work from architecture, cultural geography and urban studies on sensory engagements with buildings; and then empirically through an analysis of South African citizens' accounts of their engagements with state buildings, drawing on focus group discussions in urban centres and observations of state buildings in action. It finds that the state is reified through citizens' ability to think and feel their way from material form to idea, using sight to produce abstractions and metaphors, and the haptic senses to connect to personal memory and fantasy. This layered account of the state, described locally through the analogy of the face-brick, constitutes the making and unmaking of the state-thing that illustrates a deep but ambivalent involvement in it.

Leveraging the Corporate Brand to Attract and Retain Talent in South Africa and Other Emerging Economies

With critical global talent shortages, the compounding effect of socio-economic challenges and the impact of the Covid-19 pandemic, companies in South Africa and other emerging marketplace economies are struggling to attract and retain the talent required for organisational success. The literature supports the use of employer brand-building practices to attract talent and internal branding to retain talent. The corporate brand plays a central role in both talent attraction and retention as it navigates the employer and internal brand and aligns all stakeholders, including talent. A lack of insight into talent attraction and retention through brand building in South Africa fuelled the need for a qualitative study in companies rated as top South African brands. Interviews with cross-functional strategic leaders provided data for thematic analysis. Notably, the dominant theme, which accounted for more than half of the cumulative content data, indicated the prominence of the corporate brand in talent attraction and retention. In this article, we discuss the significance of this finding in context of the current business landscape in emerging economies such as South Africa, in which widespread disruption continues to change the reality within which talent is attracted and retained. Ten leading practices are presented, along with five related management implications, which provide human resources and talent management with guidance on leveraging the corporate brand to attract and retain talent. Research limitations related to the sample of top South African brands inform recommendations for further research into brand building for talent attraction and retention in other emerging economies.

A development cost comparison between a multi-storey mass timber and reinforced concrete building in South Africa

High-rise timber buildings have experienced a resurgence internationally during the past two decades. This paper presents an investigation into the financial feasibility of a multi-storey mass timber building for South Africa through a development cost comparison. Two 8-storey commercial buildings - a mass timber frame and a reinforced concrete frame - were first designed by independent engineering consultants. A focus group workshop, conducted with industry professionals, assisted with the development of construction schedules. Subsequently, a financial model was developed to determine the overall development cost and financial feasibility of each option. Finally, a sensitivity analysis was conducted to investigate the effect ol certain variables on the overall profitability of the mass timber frame development. The focus group workshop identified that the construction of the reinforced concrete frame building and mass timber frame building will take 42 weeks and 21 weeks, respectively. The total capital investment required for the mass timber frame development was found to be 10% more than that of the reinforced concrete frame development (R115 691 000 versus R 105 118 000). A five-year internal rate of return (IRR) of 20.9% and 25.7% was calculated for the mass timber and reinforced concrete frame developments, respectively. A significant finding of the sensitivity analysis was that the mass timber frame building proved to generate a higher five-year IRR than that of the reinforced concrete frame once the mass timber building achieved a rental premium of 7.8% or more. The sensitivity analysis further showed that the importation of the mass timber elements remains an expensive option, with a 16.4% five-year IRR for the imported mass timber frame (at a R17:€1 exchange rate).

A framework for Implementing Energy Retrofit Projects in Existing Building in South Africa

The purpose of this paper is to propose a framework for implementing the delivery of energy retrofit project in existing buildings. This framework is premised on the need for the attainment of a sustainable built environment through delivering building energy retrofit. A mixed design approach that is situated on pragmatic philosophical stance was adopted to unravel the complexities of retrofitting existing buildings. Structured and semi-structured interview were administered to project’s role-players in order to elicit data for the framework development. The findings give insight into various components of the framework. It suggest that a building analysis, which is geared towards evaluating the characteristics of the energy systems, a walkthrough survey, where potential energy-saving measures are identified, using energy analysis and simulation tools, which serves to establish energy use and operating conditions of the building, evaluation of energy-saving measures, and, finally, implementation of the energy efficiency measures are crucial in any implementation framework. The developed framework provides an innovative and integrated route for achieving sustainability in retrofit trade. The framework provides a comprehensive approach of delivering energy retrofit in an existing building.

Implementing Energy Conservation Measures, A Case Study on Retrofitting a Commercial Building in South Africa

Implementing Energy Conservation Measures, A Case Study on Retrofitting a Commercial Building in South Africa

Influence of building and indoor environmental parameters on designing energy-efficient buildings

PurposeArguments for the design of sustainable university buildings have emerged in South Africa. Energy being a major determinant of the sustainability of buildings, the purpose of this study was to examine the influence of various building and indoor environmental parameters on the energy performance of university buildings in South Africa.Design/methodology/approachA quantitative survey research method, administered within the context of university buildings in South Africa, was used. Data about 16 buildings from three universities were collected. Relevant, inferential statistical analyses were conducted to examine the relative influence of the building parameters on the energy consumed in the buildings. Also, regression models within building parameters were developed independently and in a combination that could be used to estimate energy consumption in the university buildings.FindingsFindings suggested that building and indoor environmental parameters of humidity, indoor temperature, volume, illumination, and window width ratio (WWR), in that order, influenced energy consumption significantly, and also, had direct empirical relationships.Practical implicationsOptimising the building and indoor environmental parameters in design will enhance energy-efficiency in university buildings in South Africa.Originality/valueThis study contributes to the literature in terms of understanding the order of influence of building parameters on energy consumption in university buildings in the temperate climatic zone of South Africa. It also established empirical models between building and indoor environmental parameters and energy consumption, both independently and in combination, that could assist in designing energy-efficient and sustainable university buildings.

An integrated model for predicting the probability of adoption of green building in South Africa

PurposeThe purpose of this paper is to examine the predictable effect of economic and non-economic factors regarded as the most important to stimulate stakeholders’ behavioural intentions to adopt green building.Design/methodology/approachThe primary data was collected from 106 green building accredited professionals in both the public and private sectors registered with the Green Building Council of South Africa. The data analysis techniques adopted include descriptive and inferential statistics, namely, factor analysis and logistic regression model (LRM).FindingsThe LRM results revealed five predictors and two control variables made a unique statistically significant contribution to the model. The strongest predictor to enhance the intention to adopt green building was a financial benefit (FB), recording an odds ratio of 9.1, which indicates that the likelihood to adopt is approximately 9.1 times more if FBs is evident.Practical implicationsIt is anticipated that the most significant facilitators/enablers identified by built environment stakeholders will create an enabling environment to enhance the adoption of green building.Originality/valueThis research has contributed to the existing knowledge by developing a decision support model. The decision support model provides predictive indicators for clients, consultants and contractors to harness their resources and identify significant parameters to improve their decision-making in adopting green building.

Intelligent Energy Management Strategy for Automated Office Buildings

The increasing demand to reduce the high consumption of end-use energy in office buildings framed the objective of this work, which was to design an intelligent system management that could be utilized to minimize office buildings’ energy consumption from the national electricity grid. Heating, Ventilation and Air Conditioning (HVAC) and lighting are the two main consumers of electricity in office buildings. Advanced automation and control systems for buildings and their components have been developed by researchers to achieve low energy consumption in office buildings without considering integrating the load consumed and the Photovoltaic system (PV) input to the controller. This study investigated the use of PV to power the HVAC and lighting equipped with a suitable control strategy to improve energy saving within a building, especially in office buildings where there are reports of high misuse of electricity. The intelligent system was modelled using occupant activities, weather condition changes, load consumed and PV energy changes, as input to the control system of lighting and HVAC. The model was verified and tested using specialized simulation tools (Simulink®) and was subsequently used to investigate the impact of an integrated system on energy consumption, based on three scenarios. In addition, the direct impact on reduced energy cost was also analysed. The first scenario was tested in simulation of four offices building in a civil building in South Africa of a single occupant’s activities, weather conditions, temperature and the simulation resulted in savings of HVAC energy and lighting energy of 13% and 29%, respectively. In the second scenario, the four offices were tested in simulation due to the loads’ management plus temperature and occupancy and it resulted in a saving of 20% of HVAC energy and 29% of lighting electrical energy. The third scenario, which tested integrating PV energy (thus, the approach utilized) with the above-mentioned scenarios, resulted in, respectively, 64% and 73% of HVAC energy and lighting electrical energy saved. This saving was greater than that of the first two scenarios. The results of the system developed demonstrated that the loads’ control and the PV integration combined with the occupancy, weather and temperature control, could lead to a significant saving of energy within office buildings.