Multi-agent simulator of incentive influence on PV adoption
Andrea Borghesi, Michela Milano
Abstract
Andrea Borghesi, Michela Milano
Abstract
Renewable energy technologies have benefited to varying extent from the support of incentive programmes introduced in the industrialised countries over the last 20 years. Understanding the impact of incentive schemas on the adoption of renewable energy sources is a crucial aspect for policy makers. We study in this paper the impact of national incentives on photovoltaic plant diffusion in Italy by devising an agent-based simulator which is currently being tuned on real data and will help policy makers to forecast future adoptions.
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Renewable energy technologies have benefited to varying extent from the support of incentive programmes introduced in the industrialised countries over the last 20 years. Understanding the impact of incentive schemas on the adoption of renewable energy sources is a crucial aspect for policy makers. We study in this paper the impact of national incentives on photovoltaic plant diffusion in Italy by devising an agent-based simulator which is currently being tuned on real data and will help policy makers to forecast future adoptions.
Key concepts: Incentive, Renewable energy, Photovoltaic system, Environmental economics, Business, Computer science, Industrial organization, Engineering