Issue: | E3S Web Conf. Volume 239, 2021 International Conference on Renewable Energy (ICREN 2020) |
Article Number: | 00021 |
Number of page(s): | 13 |
DOI: | Link |
Published online: | 10 February 2021 |
E3S Web of Conferences 239, 00021 (2021)
Issue: | E3S Web Conf. Volume 239, 2021 International Conference on Renewable Energy (ICREN 2020) |
Article Number: | 00021 |
Number of page(s): | 13 |
DOI: | https://doi.org/10.1051/e3sconf/202123900021 |
Published online: | 10 February 2021 |
E3S Web of Conferences 239, 00021 (2021)
Samuel Roberto Moraes1,2, João Murta-Pina2,3*, Miguel Santos1, Tiago C. Pereira2, Fernando Monteiro2,3, Ricardo Matos4, Filipe Matos4, Diogo Pinto4, Francisco Oliveira4, Sofia Correia2 and André Mora2,3
1 Engibase – Engenharia e Construção, Lda., 2830-271 Barreiro, Portugal
2 NOVA School of Science and Technology (FCT NOVA), 2829-516 Caparica, Portugal
3 Centre of Technology and Systems (CTS UNINOVA), 2829-516 Caparica, Portugal
4 Digitalmente, Novas Tecnologias de Comunicação, Lda., 3860-384 Estarreja, Portugal
Abstract
Computer-Assisted Personal Interviewing (CAPI) is a well-known methodology in the development of social surveys. In this work, CAPI is used to guide the flow of a questionnaire aiming for the acquisition of data and information fundamental to optimise a photovoltaic (PV) design. The questionnaire is implemented in an app, developed in the frame of the PV SPREAD project, which is aimed to support the supplier/designer of PV plants during all the stages of its development. To demonstrate how different choices of a client, specified during the interview with the designer, will have distinct economic results, two configurations are presented. In the first, the system is_allowed to determine and use the optimum inclination angle of the modules, while in the second a low angle is selected by the client, to comply with aesthetic restrictions. The first configuration improves naturally the internal rate of return of the investment, as this is the optimising cost function, but the system allows comparing both ones. The CAPI methodology and its use in the context of PV design show to be a relevant tool to support designers and to provide more informed investments to clients.
© The Authors, published by EDP Sciences, 2021
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