Aug 2017 – Project reports, Project deliverables
[D 3.2 Changing energy efficiency technology adoption in households – Working paper on modelling and survey]
Changing energy efficiency technology adoption in households – Working paper on modelling and survey
This document explores the complementarities between energy demand models and agent-based models in their ability to simulate policy response in households energy efficient technology adoption.
Energy efficiency policies aim to influence the decisions made by households to invest in appliances and technologies that are more efficient, i.e. influence the market shares of the various energy efficiency classes for appliances. These energy efficiency classes and the respective market shares are a key model component in energy demand models, such as Forecast.. The agent-based model that will be developed is expected to interface with Forecast, by explicitly exploring how the decisions of individual households – in interaction, with others and intermediaries – affect these market shares.. We explore the connections of the models and provide input to the survey design.
The document is structured as follows. Section 2 describes existing efforts in energy demand modelling and extracts key components that need to be taken into account in the CHEETAH modelling work. Section 3 describes existing agent-based models in order to draw lessons for the modelling work in CHEETAH. Section 4 includes conclusions on the most important findings and the lessons we draw for the design of the survey. This section presents also an overview of how the models in CHEETAH will be connected.