The design of photovoltaic (PV) installations mostly relies on rule-of-thumb criteria and on gross estimates of the shading patterns, and the few optimized approaches are generally focused on the problem of identifying the most suitable surfaces (e.g., roofs) in a larger geographic area (e.g., city or district). This work proposes a framework to address the design and the optimization of PV installations through a set of microservices focusing on the different variables of the design: identification of the target surfaces, elaboration of weather data, modeling of the PV panel, and floorplanning of the panel on the surface. The microservices architecture ensures extensibility and generality, as the user may execute only a subset of the proposed services or provide novel algorithms to extend the existing ones. Additionally, the framework provides a set of built-in models that allow sensitivity to the distribution of shades and accurate modeling of the power production over time. We show the many benefits of the proposed framework on two different use cases.

A Microservices-based Framework for Smart Design and Optimization of PV Installations / Vinco, Sara; Jahier Pagliari, Daniele; Bottaccioli, Lorenzo; Patti, Edoardo; Macii, Enrico; Poncino, Massimo. - In: IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING. - ISSN 2377-3782. - 6:4(2021), pp. 531-543. [10.1109/TSUSC.2020.3010673]

A Microservices-based Framework for Smart Design and Optimization of PV Installations

Vinco, Sara;Jahier Pagliari, Daniele;Bottaccioli, Lorenzo;Patti, Edoardo;Macii, Enrico;Poncino, Massimo
2021

Abstract

The design of photovoltaic (PV) installations mostly relies on rule-of-thumb criteria and on gross estimates of the shading patterns, and the few optimized approaches are generally focused on the problem of identifying the most suitable surfaces (e.g., roofs) in a larger geographic area (e.g., city or district). This work proposes a framework to address the design and the optimization of PV installations through a set of microservices focusing on the different variables of the design: identification of the target surfaces, elaboration of weather data, modeling of the PV panel, and floorplanning of the panel on the surface. The microservices architecture ensures extensibility and generality, as the user may execute only a subset of the proposed services or provide novel algorithms to extend the existing ones. Additionally, the framework provides a set of built-in models that allow sensitivity to the distribution of shades and accurate modeling of the power production over time. We show the many benefits of the proposed framework on two different use cases.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2841229