OBJECTIVE:With little research investigating older Australians' experience of companion animal (pet) ownership or wildlife encounters, this paper focuses on the value of animals in their lives.METHODS:Three online focus groups explored 103 older adults' lived experience of home and community, with this paper focused on interactions with animals-companion animals and wildlife.RESULTS:Most (60%) had at least one pet, which brought love and joy into their lives. Reflexive thematic analysis identified three themes: pets as family; challenges of pet ownership; and connection to everyday wildlife and nature.CONCLUSIONS:In addition to valuing companion animals (typically cats and dogs), this research is among the first to show that some older people also develop ongoing relationships with local Australian wildlife, such as kookaburras, kangaroos, lizards and birds, which raises the possibility that fostering connections with wildlife may enhance well-being.

Home environments are especially important for older adults whose lives are more home-based than earlier life stages. Despite a focus on ageing in place, there often remains a mismatch between housing options prioritised by government and industry, and the needs and preferences of older adults. This paper considers the breadth of home environments experienced by diverse older Australians and highlights the varied ways they use and think about their homes. Data from three national online focus groups (n1 = 33, n2 = 37, n3 = 33) with people aged 50-92 were analysed using phenomenographic approaches to explore the different ways older adults perceived their home environments, resulting in four hierarchical conceptions. People displayed vastly different lifetime housing pathways (Clapham, 2005), leading to diverse perceptions about the place and experience of home in their later lives. In assessing the suitability of their housing, older people considered a large number of household members: current, expected or desired co-residents; transitory, short, medium and long-term residents; near and extended family, friends and dependents. This has important implications for policy and design responses on older adult's homes, which are typically focussed on occupancy by one or two individuals. To avoid assumptions about household makeup and usage based solely on the chronological age of residents, the perspective of older adults must be embraced in designing their future housing.

OBJECTIVES:Self-determination theory posits three universal psychological needs: autonomy, competence and relatedness. Beneficence has recently been proposed as an important behaviour for improved well-being and eudaimonia. This study sought to qualitatively examine older adults' experiences of basic psychological needs satisfaction and frustration.METHODS:Three separate and simultaneous national online focus groups were undertaken over four consecutive days. Older Australians (n =103) explored home and community life. Themes were identified using reflexive thematic analysis.RESULTS:Older adults are challenged in satisfying their psychological needs, especially around the time - and after- they retire and as mobility decreases. Beneficence emerged as important for well-being, congruent with evidence that beneficence influences well-being beyond basic psychological need fulfilment.CONCLUSIONS:Satisfactions and frustration may manifest differently for older adults than for other groups. Thus, their experiences may not adequately be captured by self-report measures. Novel themes of 'fears and freedoms' were identified in the study. Fear pertained to the loss of autonomy and the freedom to spend time as one wishes.

A method that can assess the benefit for both the customers and the distribution grid when household or community batteries are installed without central control is presented. An agent-based model is used where the household assets' characteristics and behaviours are modelled and linked to a network model. Electricity data from dwellings on one street in Townsville, Australia, was used to populate the models, and simulations were run under three battery scenarios. The scenarios considered were a) “Business as usual” when no battery storage is installed, b) individual batteries are installed at each household, c) a community battery that would supply all the households is installed. Customer benefits are calculated from the operational costs savings using two types of tariffs available in Queensland. The network assets’ health is assessed considering load, current and voltage levels at the distribution transformer. These simulations lead to a better informed decision for the customer, and give the utility insight into how such technologies might impact their assets.

Some older people describe learning to stay fit and healthy and exercise as a regular part of their lives. There is evidence that exercise is beneficial in terms of physical, psychological and social functioning in older adults. This paper is unique in that it is an analysis of the spontaneous discussion of exercise by older people as a priority in their lives. It also provides information about the kinds of exercise they choose. An online written data forum in Australia with responses from 103 people aged 50 to 92 years (F52, M 51) was analysed for all mention of exercise. The respondents were prompted to comment on sustainable lifestyles as they aged. Thirty per cent mentioned exercise as a priority in their lives. Activities included irregular exercise (11%) routine organised exercise such as golf or tennis (8%) and purposeful exercise such as regular gym attendance (11%), where the respondents explained why they needed to exercise. A few (7%) talked about the need to stay healthy without explaining how. Some (2%) described barriers and conditions that made exercise difficult. These figures for engaging in exercise are similar to those identified in 2018 by the Australian Institute for Health and Welfare. As evidenced by the literature in the area, lack of awareness of the specific benefits of exercise and barriers to exercise for older adults are not new problems. However, given the increase in the percentage of older people in the population and the demonstrated beneficial effects of exercise, it is worthwhile to document the motivation for exercise and engagement in older adults and to suggest strategies to increase their activity.

This paper examines a successful residential peak electricity demand reduction project which employed a multi-disciplinary approach. The purpose of this study was to examine the critical success factors necessary for reducing peak demand and total energy consumption in a small Australian island community. This case study research is based on qualitative data obtained from semi-structured, in-depth interviews with residents from 22 households. It is proposed that the results of the examined project are transferable to other communities if the utility is able to develop the necessary trust, access, influence, and partnership with residential consumers required to create the environment for electricity demand reduction success. Findings from this research highlight the potential approach for future policymaking aimed at reducing peak electricity demand and total energy consumption in multiple communities, thus helping achieve government low carbon targets while reducing infrastructure spending.

Public policy in many nations is seeking to transition energy generation towards renewable sources such as solar photovoltaic (PV). Reviews of past policy aimed at increasing consumer acceptance of renewable energy sources have identified that policy implementation may not align with policy objectives of energy professionals. The research and analysis of consumers and their interaction with solar PV policy is important in assessing policy outcomes and how these can be better delivered or adapted. This paper reports on an in depth qualitative analysis of 22 persons under different feed-in tariff (FiT) policy settings to explore consumer experiences in acquiring solar PV and their energy use behaviour. The responses of participants indicate there were different motivations and energy use behaviour that were based on the policy in which solar PV was acquired and these may provide insight into policy development or follow up studies.

The urban environment can have significant impacts on healthy ageing of older people, including how they enjoy and participate in their local community. Our recent research has identified that older people living in high-density Brisbane actively engage with well-designed neighbourhood public space. Participation, interaction and physical activity hold the promise of promoting health and independence and reducing the risk of disablement for older people. Our participants identified several key design considerations that help make public spaces usable and comfortable places. Many of these aspects are linked to walkability. Successful public spaces become well-used venues for extending daily life beyond the home. But when public spaces are not well designed and maintained for everyday use and comfort, and their needs are not met, older people are discouraged from getting out and about.

Global population ageing has significant implications for public policy in areas such as health, housing and economic security. The notion of housing as a public health issue is not new, yet very little research has examined the links between housing specifically built for older people, energy performance and occupant health and economic security. Utilising a case study approach, this research examined the interplay between the energy efficiency of housing explicitly designed for this demographic, the thermal efficiency of their dwellings, and the impact on internal temperatures and monthly energy costs. The study shows that the thermal efficiency of the dwellings is not the same across all dwellings, impacting the internal temperatures experienced by the elderly occupants and their finances. This has implications for energy efficiency policy, policy governing the energy performance of buildings specifically designed for older people, as well as the mandatory disclosure of building performance. The study highlights in particular the need for energy policy to be further refined to link the thermal performance requirements of buildings to the broader health care plan and specific needs of older people.

In Australia during the past decade there has been a significant transformation of the electricity demand and supply sector. In five years from 2008 to 2013 the number of Australians installing solar photovoltaic (PV) technology grew from 8000 to more than one million. Governments in Australia used a range of policy incentives such as feed-in tariffs (FiTs) to encourage the uptake of solar PV and this had a range of consequences. Solar PV technology has transformed the residential consumer electricity market providing some consumers with greater choice in demand and supply of their power. This study contributes to the growing understanding of the role that demographic factors play in household uptake of solar PV technology. Based on a review of relevant literature and a multi-phased statistical analysis of more than 2 million people in south-east Queensland over five years, the paper highlights the complex interplay between socio-economics and household uptake. The paper identifies key demographic variables and quantifies their relative influence, and provides new insights into the role of age in solar PV uptake. This more nuanced explanation of the socio-economic variables influencing solar PV uptake offers an opportunity to more effectively and efficiently shape future policies and incentives.

Global population ageing has signi fi cant implications for public policy in areas such as health, housing and economic security. The notion of housing as a public health issue is not new, yet very little research has examined the links between housing speci fi cally built for older people, energy performance and occupant health and economic security. Utilising a case study approach, this research examined the interplay between the energy e ffi ciency of housing explicitly designed for this demographic, the thermal e ffi ciency of their dwellings, and the impact on internal temperatures and monthly energy costs. The study shows that the thermal e ffi ciency of the dwellings is not the same across all dwellings, impacting the internal temperatures experienced by the elderly occupants and their fi nances. This has implications for energy e ffi ciency policy, policy governing the energy performance of buildings speci fi cally designed for older people, as well as the mandatory disclosure of building performance. The study highlights in particular the need for energy policy to be further re fi ned to link the thermal performance requirements of buildings to the broader health care plan and speci fi c needs of older people.

Internationally, policy makers have been trying to find ways of changing residential electricity use through improved energy efficiency or by means of behaviour change. Drawing on evidence from an Australian project undertaken in a community of approximately 2200 residents, this paper reviews how a combination of interventions have successfully reduced electricity demand levels to below that of pre-intervention levels. Employing a qualitative methodology and using this successful project as the basis of a case study, this research explores the effectiveness of the electricity demand reduction interventions from the perspective of residents from 22 households. By combining and tailoring interventions to the specific needs and motivations of individual householders, this study demonstrates how a multi-pronged and integrated approach can be effective in addressing the multi-faceted challenge of energy efficiency and behaviour change. The experience with this Australian residential community in achieving an ongoing reduction in electricity use is rare and the findings from the research are internationally relevant in informing policy and practice directions for achieving government-set lower carbon emission targets. This research has important implications for addressing issues related to total consumption and peak demand reduction, both financial and environmental, for the benefit of energy providers and consumers.

This paper explores the importance of customer-industry engagement (CIE) to peak energy demand by means of a newly developed Bayesian Network (BN) complex systems model entitled the Residential Electricity Peak Demand Model (REPDM). The REPDM is based on a multi-disciplinary perspective designed to solve the complex problem of residential peak energy demand. The model provides a way to conceptualise and understand the factors that shift and reduce consumer demand in peak times. To gain insight into the importance of customer-industry engagement in affecting residential peak demand, this research investigates intervention impacts and major influences through testing five scenarios using different levels of customer-industry engagement activities. Scenario testing of the model outlines the dependencies between the customer-industry engagement interventions and the probabilities that are estimated to govern the dependencies that influence peak demand. The output from the model shows that there can be a strong interaction between the level of CIE activities and interventions. The influence of CIE activity can increase public and householder support for peak reduction and the model shows how the economic, technical and social interventions can achieve greater peak demand reductions when well-designed with appropriate levels of CIE activities.

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times.

Energy usage in general, and electricity usage in particular, are major concerns internationally due to the increased cost of providing energy supplies and the environmental impacts of electricity generation using carbon-based fuels. If a "systems" approach is taken to understanding energy issues then both supply and demand need to be considered holistically. This paper examines two research projects in the energy area with IT tools as key deliverables, one examining supply issues and the other studying demand side issues. The supply side project used hard engineering methods to build the models and software, while the demand side project used a social science approach. While the projects are distinct, there was an overlap in personnel. Comparing the knowledge extraction, model building, implementation and interface issues of these two deliverables identifies both interesting contrasts and commonalities.

Utilities worldwide are focused on supplying peak electricity demand reliably and cost effectively, requiring a thorough understanding of all the factors influencing residential electricity use at peak times. An electricity demand reduction project based on comprehensive residential consumer engagement was established within an Australian community in 2008, and by 2011, peak demand had decreased to below pre-intervention levels. This paper applied field data discovered through qualitative in-depth interviews of 22 residential households at the community to a Bayesian Network complex system model to examine whether the system model could explain successful peak demand reduction in the case study location. The knowledge and understanding acquired through insights into the major influential factors and the potential impact of changes to these factors on peak demand would underpin demand reduction intervention strategies for a wider target group.

Provision of network infrastructure to meet rising network peak demand is increasing the cost of electricity. Addressing this demand is a major imperative for Australian electricity agencies. The network peak demand model reported in this paper provides a quantified decision support tool and a means of understanding the key influences and impacts on network peak demand. An investigation of the system factors impacting residential consumers' peak demand for electricity was undertaken in Queensland, Australia. Technical factors, such as the customers' location, housing construction and appliances, were combined with social factors, such as household demographics, culture, trust and knowledge, and Change Management Options (CMOs) such as tariffs, price, managed supply, etc., in a conceptual 'map' of the system. A Bayesian network was used to quantify the model and provide insights into the major influential factors and their interactions. The model was also used to examine the reduction in network peak demand with different market-based and government interventions in various customer locations of interest and investigate the relative importance of instituting programs that build trust and knowledge through well designed customer-industry engagement activities. The Bayesian network was implemented via a spreadsheet with a tickbox interface. The model combined available data from industry-specific and public sources with relevant expert opinion. The results revealed that the most effective intervention strategies involve combining particular CMOs with associated education and engagement activities. The model demonstrated the importance of designing interventions that take into account the interactions of the various elements of the socio-technical system. The options that provided the greatest impact on peak demand were Off-Peak Tariffs and Managed Supply and increases in the price of electricity. The impact in peak demand reduction differed for each of the locations and highlighted that household numbers, demographics as well as the different climates were significant factors. It presented possible network peak demand reductions which would delay any upgrade of networks, resulting in savings for Queensland utilities and ultimately for households. The use of this systems approach using Bayesian networks to assist the management of peak demand in different modelled locations in Queensland provided insights about the most important elements in the system and the intervention strategies that could be tailored to the targeted customer segments.