This report provides a summary of the research activities in the research project RP3028: A Virtual Market for Analysing the Uptake of Energy Efficiency Measures in Residential and Commercial Sectors.
To enable the development of policy programs to increase adoption of energy-efficient products, there is a need to develop a knowledge base from which it is possible to understand the likely success of policy interventions.
The required knowledge will be based on a combination of data and observations from which to develop either a mental or a computational model. These models, in turn, will guide the policy design, implementation and evaluation process.
The effort to increase energy efficiency in the residential sector, depends to a large extent on the consumer behaviour of residents, and in this report, we provide a summary of the complexities of consumer choice. These aspects of consumer choice have been embedded into an Agent-Based Model of household energy efficiency adoption, and this model is described in this report.
Keywords: Energy efficiency; Agent-Based Modelling; Solar Hot Water; Consumer choice
In response to feedback, high-income households can reduce their energy use to a larger degree than low-income households (17% vs 3% reduction). This and other insights were gained by two rapid reviews into research, both Australian and International, on digital services and...Read more
Industry misconceptions around high cost and poor market interest in energy efficient homes continue to obstruct the mass adoption of low carbon housing. Josh’s House demonstrates that low carbon housing is accessible and cost effective. The Star Performers series showcases how...Read more
When South Eastern Australia was in severe drought at the beginning of the century, a whole array of efforts went into addressing the water shortage. Councils introduced, and then increased, water restrictions. Government handed out low-flow showerheads and shower timers,...Read more
This paper reports on an Agent-Based Model. The purpose of developing this model is to describe ‘the uptake of low carbon and energy efficient technologies and practices by households and under different interventions’. There is a particular focus on modelling non-financial incentives as well as the influence of social networks as well as the decision making by multiple types of agents in interaction, i.e. recommending agents and sales agents, not just households.
The purpose of this report is to summarise the development of the preferred business model identified for Build4Life by reporting of the key activities of the customer discovery phase of Build4Life.
The proposed business model is for Build4Life to act as a platform to connect renovators with service and product suppliers with an overarching mission to help deliverable sustainable renovations across Australia.