Prediction of heat transfer characteristics and energy efficiency of a PVT solar collector with corrugated-tube absorber using artificial neural network and group method data handling models-Reference-Cited by-同舟云学术

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Prediction of heat transfer characteristics and energy efficiency of a PVT solar collector with corrugated-tube absorber using artificial neural network and group method data handling models

Published:2024-09 Issue: Volume:157 Page:107829
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

Li Lei,Hassan Waqed H.,Mohammed Abrar A.,Montufar Paul,AL-maamori Zainab M.,Sultan Abbas J.,Salahshour Soheil,Esmaeili Shadi

Publisher

Elsevier BV

Reference41 articles.

1. A review on buildings energy information: trends, end-uses, fuels and drivers;González-Torres;Energy Rep.,2022

2. Persistent fossil fuel growth threatens the Paris agreement and planetary health;Jackson;Environ. Res. Lett.,2019

3. Performance investigation of truncated low concentrating photovoltaic-thermal systems with V-trough, compound hyperbolic and compound parabolic concentrators;Ustaoglu;Appl. Therm. Eng.,2023

4. Design and economic analysis of on-grid solar rooftop PV system using PVsyst software;Serat;Arch. Adv. Eng. Sci.,2023

5. A review of designs and performance of façade-based building integrated photovoltaic-thermal (BIPVT) systems;Yu;Appl. Therm. Eng.,2021

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