Agent-based models of energy investment decisions

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As societies seek efficient and environmentally sound energy supplies, researchers aim to understand future energy consumption, infrastructure, and technology development. This work introduces a novel agent-based approach to urban energy systems. It models the decisions of private and commercial investors using a bounded rational decision model informed by socio-economic data. The study examines how competition among firms influences technology diffusion and calculates diffusion curves for various energy technologies, including solar collectors, boilers, and building efficiency upgrades. The author not only makes a significant methodological contribution to energy modeling but also provides practical insights that can assist urban planners and policymakers in making informed decisions.