Unlocking the untapped potential - How local administrations coordinate decentralized Photovoltaic Systems on Multi-Family House Roofs

Korte, Niklas; Krisch, Michael

Abstract

This research paper explores the untapped potential of multifamily house roofs for photovoltaic (PV) installations and the role of local governments in coordinating their utilization. It highlights the significance of decentralized, private power generation and the integration of artificial intelligence (AI) for roof surface identification. The paper emphasizes the need for coordination through local administrations to facilitate the implementation of PV systems on multi-family house roofs. By leveraging AI technology, local governments can efficiently identify suitable rooftops and coordinate among various stakeholders to enable the expansion of decentralized PV systems. The study underscores the importance of collaboration between local governments and their residential companies and citizens. The study also contributes to the Actor Network Theory by incorporating the role of administrations and emphasizing the significance of data sets as components within a network.