An Agent-Based Model of Electricity Con- sumer: Smart Metering Policy Implications in Europe

EURegulation 2009/72/EC concerning common rules for internalmarket in electricity calls upon80% of EU electricity consumers to be equippedwith smartmetering systems by 2020, provided that a positive economic assessment of all long-term costs and benefits to themarket and the individual consumer is guaranteed. Understanding the impact that smart metering systems may have on the electricity stakeholders (consumers, distribution system operators, energy suppliers and the society at large) is important for faster and e ective deployment of such systems and of the innovative services they o er. For this purpose, in this paper an agentbased model is developed, where the electricity consumer behaviour due to di erent smart metering policies is simulated. Consumers are modelled as household agents having dynamic preferences on types of electricity contracts o ered by the supplier. Development of preferences depends on personal values, memory and attitudes, as well as the degree of interaction in a social network structure. We are interested in exploring possible di usion rates of smart metering enabled services under di erent policy interventions and the impact of this technological di usion on individual and societal performance indicators. In four simulation experiments and three intervention policies we observe the di usion of energy services and individual and societal performance indicators (electricity savings, CO2 emissions savings, social welfare, consumers’ comfort change), as well as consumers’ satisfaction. From these results and based on expert validation, we conclude that providing the consumer withmore options does not necessarily lead to higher consumer’s satisfaction, or better societal performance. A good policy should be centred on e ective ways to tackle consumers concerns.