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Modelling (and monetising) energy and non-energy impacts of product non-compliance: Why quantification can influence social/consumer behaviour towards sustainability and support energy policy innovations in the EU – the example of EEPLIANT 2 and 3 Joint Actions

Panel: 9. Products, appliances, ICT

Author:
Kyriakos Papazoglou, PROSAFE, Belgium

Abstract

In recent years, research and practice have shown that energy efficiency actions have numerous wider benefits and knock-on effects on the economy, society and end-users than just energy and cost savings—e.g. reduced GHG emissions and resource consumption, health benefits for people and because of this less stress on public budgets. In the EU, Ecodesign & Energy Labelling account for over 40% of the 20% energy efficiency target for 2020 & about 23% of 2020 GHG emission reduction target (=306 Mt CO2, €63B net energy savings). Noncompliance in the domestic appliance sectors & domestic consumption behaviours are closely associated with the issue of disruptive climate change.

In relation to sustainability issues, evidence shows that the role that the consumers’ sense of responsibility plays in their willingness to implement a pro-environmental behaviour is crucial. But research suggests that their ability to do so also depends on the availability of easy and reliable information about the consequences of their choices when it comes to the purchase and use of noncompliant products with the Energy Lab. & Ecodesign Reg.

Anecdotal evidence is not enough to push through policies and motivate behavioural change – also at the industry’s side. From a policy perspective, the quantification of the impacts (incl. that of noncompliance) for climate change mitigation and the use of data & data aggregation in policy evaluation models are key to support better informed decisions & lever energy policy innovations.

That’s where EEPLIANT3’s modelling of energy & financial impacts comes in: an innovative predictive tool for calculating the impact of noncompliance, premised on the baseline model of the predecessor EEPLIANT2 project. How does the model work? How does it calculate/monetise the impact of noncompliance? What are the key quantification results per targeted product sector? How can we use results to better inform policies and shift consumer/user and manufacturers’ behaviour?

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