Digital—Twin for an Innovative Waterfront Management Strategy. Pilot Project DSH2030

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Abstract

In the era of smart cities, the digital twin of a settlement system allows not only the real-time control of the quality levers offers by the subsystems, but also the prediction of the future performance over the life cycle. This is feasible through the implementation of predictive models and the simulation of the impact that the design solutions can generate. The Digital and Sustainable Harbour 2030 (DSH2030) project, funded under the Liguria region’s POR FESR, sees the cooperation of the Innovation, Development, and Sustainability structure of the Porto Antico of Genoa, with ETT S.p.A. supported by the Department of Architecture of Naples, Netalia S.r.l., BF Partners S.r.l., Colouree S.r.l., AiTrust S.r.l., Circle Garage S.r.l., and the University of Genoa in the MaLGA structure. In particular, the research question expressed by the local authority of the Porto Antico of Genoa concerns the measurement and evaluation of environmental parameters, in relation to the consumption and production of renewable energy; monitoring of the flow of people and vehicles (land and sea) for both security and commercial purposes; the control of safety performances and usability of the built system. A complex virtual model is the answer to which the partnership is working on. The paper illustrates the criteria and principles that inform the design, testing, and validation of an enhanced digital twin for the tourist port of Genoa. Specifically, it discusses the work carried out by ETT S.p.A. with the Department of Architecture of Naples that, through the integration of sensors, measurement technologies, Internet of Things (IoT), machine learning technologies, intends to prefigure new models of sustainable management and maintenance of the port area.

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APA

Pacifico, M. G., Pinto, M. R., & Novellino, A. (2023). Digital—Twin for an Innovative Waterfront Management Strategy. Pilot Project DSH2030. In Urban Book Series (Vol. Part F813, pp. 217–225). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-29515-7_20

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