The Energy Sector Behavioural Insights Platform brings together government policy makers and other experts to share knowledge and experiences applying Behavioural Insights to energy policy.
The overall aim of the Task is to improve the efficacy of demand-side energy policies by ensuring that human behaviour is accounted for at all stages of the policy cycle.
Task Duration & Participation:
Phase 1: December 2019 to December 2020
Australia, Canada, Ireland, Netherlands, Switzerland, United Kingdom
Phase 2: April 2021 to December 2022
Canada, Ireland, Netherlands, Switzerland, United Kingdom
Phase 3: March 2023 – February 2025
Canada, Ireland, Netherlands, United Kingdom
Phase 3 Task Leaders, The Behaviouralists
Latest From Behavioural Insights Platform
Countries around the world are transitioning away from fossil fuels to renewable energy sources to meet their Net Zero targets. While beneficial for the environment, this transition brings with
We are thrilled to announce that the BI Platform has been awarded funding by J-PAL’s King Climate Action Initiative (K-CAI). The funding will be used to match the contributions of the Task Participants and to deepen the scope of the activities carried in Phase 3 of the Users TCP BI Platform.
Ondrej Kacha, one of the Task Leaders of the Behavioural Insights Platform, presented the recently released Behavioural Energy Policy Toolkit at the Energy Transformations conference in Manchester in June.
Behavioural Insights Platform Publications
This guidebook provides essential guidance to policymakers and energy suppliers interested in applying behavioural insights to improve residential demand response. This involves changing household energy consumption habits, promoting the
The Energy Sector Behavioural Insights Platform of the UsersTCP brings together government policy makers and other experts to share knowledge and experiences applying behavioural insights (BIs) to energy policy.
Subtasks & Deliverables
Although technologies are important determinants of energy demand, people’s decisions about which technologies they use, and how they use them, ultimately determine energy use. This is true for all sectors. Identifying ways to influence human behaviour will therefore be an important ingredient in clean energy transitions globally.
However, in many cases when designing and implementing energy policy, policy makers resort to “rules of thumb” about human behaviour, often based on orthodox economic theory. While these can be useful, they are not always good predictors of actual human behaviour and policies based on them can sometimes be ineffectual – a policy performance gap.
Building on existing knowledge and experience to incorporate evidence from behavioural science (or Behavioural Insights) throughout the policy cycle should help ensure that energy policies are designed to work with people’s likely behaviours, reducing the policy performance gap.