Development of a Transient Model of a Lightweight, Portable and Flexible Air-Based PV-T Module for UAV Shelter Hangars
Pedro Orgeira-Crespo,
Carlos Ulloa,
José M. Núñez and
José A. Pérez
Additional contact information
Pedro Orgeira-Crespo: Aerospace Area, Department of Mechanical Engineering, Heat Engines and Machines, and Fluids, Aerospace Engineering School, University of Vigo, 32004 Ourense, Spain
Carlos Ulloa: Aerospace Area, Department of Mechanical Engineering, Heat Engines and Machines, and Fluids, Aerospace Engineering School, University of Vigo, 32004 Ourense, Spain
José M. Núñez: Centro Universitario de la Defensa (Marín), University of Vigo, 36920 Marín, Spain
José A. Pérez: Design Engineering Department, Industrial Engineering School, University of Vigo, 36310 Vigo, Spain
Energies, 2020, vol. 13, issue 11, 1-15
Abstract:
This research paper introduces a mathematical model to predict the performance of photovoltaic–thermal systems (PV-T), based on a thin layer flexible panel and an air pipe, by using the Trnsys ® software tool to simulate energetic systems. The main advantage of these types of panels is their easy portability, making them ideal to address thermal needs in several scenarios. In the military field, there is an important concern about the use of sustainable energy; for instance, cooling facilities for infantry tents used in their deployments. In this research, a PV-T panel to cover electrical power needs for an infantry’s hangar unmanned air vehicle (UAV) is introduced. The proposed thermal model, based on the novelty of inertial mass (lump) as an approach to real panel behavior, has been validated through the comparison between Trnsys’ model simulation data, a real weather station, and data obtained in a test bed. Genopt’s simulation software is used to fit the model, allowing for the prediction of heat transmission coefficient values. The good match between simulated and experimental data makes the proposed model suitable for the photovoltaic–thermal prediction of panel behavior.
Keywords: PV-T; Trnsys; optimization; lump; UAV (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/11/2889/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/11/2889/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:11:p:2889-:d:367658
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().