One-size-fits-all housing : an exploration of 6-star requirements in the volume builder sector

Energy consumption attributed to the residential sector makes up around 8% of the total consumption in Australia. Roughly a third of all houses built in Victoria are done so by the largest 20 builders. These volume builders keep costs down by offering a selection of ‘clone’ designs from which the client can choose, however they lose the site-specific customisation which is required for effective passive design in favour of a one-size-fits-all approach where designs are developed to a point where they can satisfy just the minimum requirements in a range of orientations and site locations. The Australian government has implemented regulations regarding the minimum efficiency standards for housing and these initiatives to limit the carbon emissions have brought the question of energy use to the table, yet are they enough? This paper will explore the concept of cloned house designs in terms of energy efficiency and optimal siting and through computer simulation, evaluate how a cloned house design performs under different site conditions in Victoria

Occupant satisfaction of Star Rated Houses in Victoria, Australia

The Victorian government implemented legislation for all new houses to achieve a 6 star rating since May 2011. It is found that having a higher star rating would provide financial and environmental benefits, however the question remains- is this sufficient to satisfy the occupants living in such houses? Are the occupants actually satisfied with the amount of money they have invested in their home? This study investigates the level of satisfaction of occupants living in different star rated houses, and explores if there is a link between the star rating of the house and the satisfaction of the occupants living in such houses

Effect of materials on the urban thermal environment a CFD simulation approach

Use of high albedo materials reduces the amount of solar radiation absorbed through building envelops and urban structures and thus keeping their surfaces cooler. The cooling energy savings by using high albedo materials have been well documented. Higher surface temperatures add to increasing the ambient temperature as convection intensity is higher. Such temperature increase has significant impacts on the air conditioning energy utilization in hot climates. This study makes use of a parametric approach by varying the temperature of building facades to represent commonly used materials and hence analyzing its effect on the air temperature through a series of CFD (Computational Fluid Dynamics) simulations. A part of the existing CBD (Central Business District) area of Singapore was selected for the study. Series of CFD simulations have been carried out using the software CFX-5.6. Wind tunnel experiments were also conducted for validation. It was found that at low wind speeds, the effect of materials on the air temperature was significant and the temperature at the middle of a narrow canyon increased up to 2.52&deg;C with the fa&ccedil;ade material having lowest albedo.<br /

A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools

Background: Indoor air quality (IAQ) in schools can affect the performance and health of occupants, especially young children. Increased public attention on IAQ during the COVID-19 pandemic and bushfires have boosted the development and application of data-driven models, such as artificial neural networks (ANNs) that can be used to predict levels of pollutants and indoor exposures. Methods: This review summarises the types and sources of indoor air pollutants (IAP) and the indicators of IAQ. This is followed by a systematic evaluation of ANNs as predictive models of IAQ in schools, including predictive neural network algorithms and modelling processes. The methods for article selection and inclusion followed a systematic, four-step process: identification, screening, eligibility, and inclusion. Results: After screening and selection, nine predictive papers were included in this review. Traditional ANNs were used most frequently, while recurrent neural networks (RNNs) models analysed time-series issues such as IAQ better. Meanwhile, current prediction research mainly focused on using indoor PM2.5 and CO2 concentrations as output variables in schools and did not cover common air pollutants. Although studies have highlighted the impact of school building parameters and occupancy parameters on IAQ, it is difficult to incorporate them in predictive models. Conclusions: This review presents the current state of IAQ predictive models and identifies the limitations and future research directions for schools.</p

Evaluation of building performance for strategic facilities management in healthcare : a case study of a public hospital in Australia

Purpose - This paper evaluates the main elements of building performance namely building function, building impact and building quality in order to promote strategic facilities management in healthcare organisation to improve core (health) business activities. Design/methodology/approach - Based on current available toolkits, a questionnaire is issued to healthcare users (staff) in a public hospital about their level of agreement in relation to these elements. Statistical analysis is conducted to regroup the elements. These regrouped elements and their inter relationships are used to develop a framework for measuring building performance in healthcare buildings. Findings - The analysis helped to clarify the understanding and agreement of users in Australian healthcare organisation with regards to building performance. Based on the survey results, 11 new elements were regrouped into three groups. These new regrouped elements will be used to develop a reliable framework for measuring performance of Australian healthcare buildings. Originality/value - Currently there is no building performance toolkit available for Australian healthcare organisation. The framework developed in this paper will help healthcare organisations with a reliable performance tool for their buildings and this will promote strategic facilities management

Urban heat island and its impact on building energy consumption

Urban areas tend to have higher air temperatures than their surroundings as a result of man-made aiterations. This phenomenon is known as the urban heat island (UHI) effect. UHI is considered to he one of the major problems encountered by the human race this century. Solar radiation that is absorbed during the day by buildings is re~emitted after sunset creating high temperatures in urban areas. Also, anthropogenic heat sources such as air conditioners and road traffic add to the rise in temperatures, A number ofstudies have indicated that UHI has a significant effect on the energy use of buildings. In mid- and low-latitude cities, heat islands contribute to urban dwellers\u27 summer discomfort and significantly higher air-conditioning loads. This chapter summarizes and reviews the latest research methodologies and findings about the effect of increased temperatures on the energy consumption of buildings. The latest developments in the heat island mitigation strategies are remarkable, However, more attention needs to begiven to the implementation and testing of these strategies in full-scale buildings.<br /