What is it about?
This research develops a methodology to better understand and apply how people's behaviours and habits impact energy efficiency within economic models of energy systems. It specifically investigates the causal relationships between energy consumption and human behaviour by extracting expert knowledge across four key domains of the current energy transition: everyday appliances, buildings, mobility, and energy flexibility.
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Why is it important?
Findings emphasise that European residents prioritise competence and autonomy over financial factors. This suggests that energy policies should incorporate these behavioural insights to effectively encourage energy-saving measures beyond mere financial incentives
Perspectives
This approach, "Causality," offers a comprehensive model for policymakers aiming to implement more nuanced and effective energy policy interventions.
Armando Aguayo-Mendoza
Universidad de Deusto
Read the Original
This page is a summary of: Understanding the factors that affect households’ investment decisions required by the energy transition, PLoS ONE, March 2024, PLOS,
DOI: 10.1371/journal.pone.0297222.
You can read the full text:
Resources
Characterization of investments profiles on the energy transition for european citizens
This data was originally collected to analyse quantitatively the decisions of everyday people in relation to their energy consumption and their reactions to specific political interventions.
Understanding the factors that affect households’ investment decisions required by the energy transition
The full article is available in open access
WHY project
WHY is the next step in improving energy demand modelling to forecast the domestic sector’s energy consumption.
Climbing the causality ladder to understand and project the energy demand of the residential sector
In order to mitigate climate change effects, urgent action is required in all sectors of the economy to significantly reduce greenhouse gases (GHG) emission. To overcome this challenge, the novel Causal Modeling will be used to quantitatively analyse human decision making in energy consumption and their reactions to interventions (e.g. policy changes). This will be combined with an innovative FFORMA approach which allows multiple different load profiles to be categorised by a set of vectors describing it. WHY will therefore create innovative methodologies for short and long term load forecasting. The WHY modelling will allow to directly assess the impact of a multitude of policies on the energy system, as well as performing both ex-ante and ex-post assessment over policy measures. WHY will therefore contribute to a holistic understanding of household energy consumption and improved demand modelling.
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