Issue |
EPJ Photovolt.
Volume 13, 2022
EU PVSEC 2021: State of the Art and Developments in Photovoltaics
|
|
---|---|---|
Article Number | 1 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/epjpv/2021013 | |
Published online | 13 January 2022 |
https://doi.org/10.1051/epjpv/2021013
Regular Article
Digitalization as a driver for supporting PV deployment and cost reduction
1
SUPSI-DACD-ISAAC, 6850 Mendrisio, Switzerland
2
CADCAMATION, 1213 Onex, Switzerland
* e-mail: erika.saretta@supsi.ch
Received:
30
June
2021
Received in final form:
9
December
2021
Accepted:
13
December
2021
Published online: 13 January 2022
Digitalization is providing advantages to all sectors around the world and it can be of relevance also for the photovoltaic (PV) sector. As an example, the current value chain of the European PV sector is often characterized by analogue and fragmented processes that should be overcame to support greater PV deployment. The adoption of a more open and collaborative digital-based approach characterized by data-sharing among different stakeholders and more integrated information thread from the design till O&M can provide direct benefits in optimizing the PV process, increasing performances, and reducing of costs. Therefore, a novel PV Information Management (PIM) approach has been drawn within the European H2020 project “SuperPV”. In accordance with PIM objectives, a workflow for seamlessly transferring data along main PV work-stages has been developed, as well as new digital features to specifically address collaborative approach in the PV sector such as: (i) advanced functionalities introduced in the existing BIMSolar® software for improving the simultaneous design, performance simulation and cost assessment of medium and large PV systems, (ii) a proof-of-concept for aggregating all relevant information into a Digital Twin platform aimed at setting the ground for post-construction management and lifecycle assessment of the whole PV system.
Key words: PV plant design / PV plant simulation / cost-assessment / PIM / digital twin
© E. Saretta et al., Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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