Energy performance of medium-sized healthcare buildings in Victoria, Australia- a case study

This paper investigates the energy performance of three medium-sized healthcare buildings in Victoria, Australia, that operate only during the daytime. The aim is to provide preliminary understanding of energy consumption in this particular typology in Australia in relation to the available benchmarks. This paper also identifies the differences of energy consumption between different functional areas within medium health facilities. Building features and operational characteristics contributing to the variations in healthcare energy performance are discussed. The total annual energy consumption data ranging from 167-306 kWh/m(2) or 42-72 kWh/m(3) were compared against international data from various climatic zones. Some of the drivers of energy consumption were determined and potentials for energy and water conservation were identified. Comparison with international standards shows a possibility to achieve lower energy consumption in Victorian healthcare buildings.

Documentary tensions and the filmmaker in the frame

This thesis identifies a distinct category of documentary in which the filmmaker is shown negotiating their authorship and performing their authority. Close analysis of three films investigates conceptual tensions that arise when a filmmaker is framed as both a specific subject and a documentary author.

A study and a directory of energy consumption data sets of buildings

Energy consumption data are required to perform analysis, modelling, evaluation, and optimisation of energy usage in buildings. While a variety of energy consumption data sets have been examined and reported in the literature, there is a lack of a comprehensive categorisation and analysis of the available data sets. In this study, an overview of energy consumption data of buildings is provided. Three common strategies for generating energy consumption data, i.e., measurement, survey, and simulation, are described. A number of important characteristics pertaining to each strategy and the resulting data sets are discussed. In addition, a directory of energy consumption data sets of buildings is developed. The data sets are collected from either published papers or energy related organisations. The main contributions of this study include establishing a resource pertaining to energy consumption data sets and providing information related to the characteristics and availability of the respective data sets; therefore facilitating and promoting research activities in energy consumption data analysis.

Examining the perception of tenants in sustainable office buildings

Purpose – The purpose of this paper is to address two major challenges faced by sustainable building owners: first, address the gap between an occupant’s expectations of sustainable building outcomes and what the building actually provides and second, overcome the lack of user knowledge about sustainability design and operation for a particular with regards to performance. Design/methodology/approach – This study used a focus group approach to investigate the gap between: user expectations and sustainable building performance. The study surveyed occupants of sustainable office buildings in Melbourne, Australia. Findings – There is no significant relationship between users’ expectations and users’ experience of sustainable building performance and users’ knowledge about sustainability and the building they were worked in. Research limitations/implications – The research was limited to sustainable office buildings. New office buildings seeking to incorporate sustainability which need to focus on the needs of tenants in order to maximise value. Practical implications – There is an urgent need to ensure sustainable office buildings meet the needs of present and future occupiers without compromising short and long-term occupier satisfaction levels with regards to sustainability and operation of the building. Social implications – Increasing the level of sustainability in office buildings has been a major trend over the past decade however the tenants need to be consulted in the post-occupancy phase. Originality/value – Little attention has been given in the property management literature to sustainable office buildings and value drivers. This is an original and innovative study, partly due to the recent developments in sustainable buildings.

Don't eat that, you'll get fat! Exploring how parents and children conceptualise and frame messages about the causes and consequences of obesity

Family interactions about weight and health take place against the backdrop of the wider social discourse relating to the obesity epidemic. Parents (and children) negotiate complex and often contradictory messages in constructing a set of beliefs and practices around obesity and weight management. Despite this, very little research attention has been given to the nature of family-unit discourse on the subject of body weight and it's potential influence on the weight-related behaviours of family members. This includes the broad influence that dominant socio-cultural discourses have on family conceptualisations of weight and health. Using in-depth qualitative interviews with 150 family 'groups' comprised of at least one parent and one child in Victoria and South Australia, we explored how parents and children conceptualise and discuss issues of weight- and health-related lifestyle behaviours. Data were analysed using Attride-Stirling's (2001) thematic network approach. Three thematic clusters emerged from the analysis. First, both parents and children perceived that weight was the primary indicator of health. However, parents focused on the negative physical implications of overweight while children focused on the negative social implications. Second, weight and lifestyle choices were highly moralised. Parents saw it as their responsibility to communicate to children the 'dangers' of fatness. Children reported that parents typically used negatively-framed messages and scare tactics rather than positively-framed messages to encourage healthy behaviours. Third was the perception among parents and children that if you were thin, then eating habits and exercise were less important, and that activity could provide an antidote to food choices. Results suggest that both parents and children are internalising messages relating to obesity and weight management that focus on personal responsibility and blame attribution. These views reflect the broader societal discourse, and their consolidation at the family level is likely to increase their potency and make them resistant to change.

Is the frame broken? Seeking new metaphors for textual study in English

This article draws from a doctoral study of how female teachers design English curriculum around girls’ popular culture in a contemporary coeducational secondary setting and focuses on how English teachers contemplate the study of texts in the space of school-based curriculum planning. The article presents an argument for reflexivity around how we create both texts and identity through curriculum design; it advocates the pursuit of new metaphors for contemplating the study of text that might challenge models of education as delivery in a neoliberal imaginary, where curriculum design is depicted as the anonymous and rational articulation of aims and pedagogy to achieve outcomes.

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.