Novel design and performance analysis of a selectively filtered nanofluid spectrum semi-trough solar concentrated photovoltaic/thermal system DOI
Gang Wang,

Shuyuan Gao,

Botong Wang

et al.

Energy Sources Part A Recovery Utilization and Environmental Effects, Journal Year: 2024, Volume and Issue: 46(1), P. 12130 - 12147

Published: Aug. 28, 2024

In this paper, the main novelty is proposal and performance analysis of a novel selectively filtered nanofluid spectrum semi-trough solar concentrated photovoltaic-thermal (SPVT) system. Experimental preparation optical tests Ag-CoSO4/water are conducted. The selected for SPVT system has an average absorptance 53.5% transmittance 46.5% in 250.0 ~ 2500.0 nm. results show that efficiency 94.3% under filtering condition. When tracking error increases to 0.3°, can still be kept at 84.8%. This means relatively good adaptability on error. operation indicate condition, electric power photo-electric PV subsystem 392.1 W 30.9%, thermal 40.7%. Effects four factors evaluated, which inlet flow velocity temperature, environmental temperature convection heat transfer coefficient between channel air. improved by properly increasing or reducing from 0.002 m/s 0.004 m/s, 40.9% 50.7%, with increased 6.0°C 14.0°C, decreases 48.6% 45.6%. paper provide certain reference research development works PVT systems future.

Language: Английский

Electrical Output Stabilization of Nanofluid Spectral Splitting Photovoltaic/Thermal System by Regulating Parameters Based on Machine Learning Algorithms DOI
Zhengwei Wang, Huawei Liu, Jia Lu

et al.

Published: Jan. 1, 2025

The nanofluid spectral splitting photovoltaic/thermal (NSS-PV/T) system offers flexible regulation compared to traditional PV/T systems, enabling more thorough thermal and electrical output regulation. However, there is currently a lack of research on regulating the NSS-PV/T achieve stable output. Therefore, this paper provided two methods parameter stepping optimization that were applicable in both single multi-parameter application conditions. Firstly, energy equilibrium model was used calculate multiple sets parameters, simulating actual operating conditions serving as training data train subsequent prediction models. Based typical daily radiation data, lowest during study period determined standard system. Channel thickness, inlet temperature, concentration considered. Two machine learning algorithms, including support vector particle swarm optimization-back propagation neural network, employed design Subsequently, performed using pattern search algorithms. results illustrate relative errors do not exceed 0.070%, 0.099%, 0.120%, respectively. are than 0.369%. models convenient simple, but still face challenges parameters with weak influences deviate significantly from standard. method can lower deviations, variations smaller optimization, which further reduce fluctuations improve speed.

Language: Английский

Citations

0
Performance evaluation of a semi-transparent cells filtered concentrated photovoltaic/thermal system DOI

Yu Ma,

Xinyue Han,

Zhuo Chen

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125760 - 125760

Published: Jan. 1, 2025

Language: Английский

Citations

0
Advanced building utility systems: Utilizing a thermal wheel and a photovoltaic/thermal system equipped with a nanofluid/nano-enhanced PCM-based spectral splitter DOI
Amin Shahsavar, Jaber Aboueian,

Hamid Reza Askarifard Jahromi

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115669 - 115669

Published: March 1, 2025

Language: Английский

Citations

0
Investigation of sensitivity analysis for hybrid photovoltaic/thermal system based on splitting nanofluid DOI
Jianqing Lin, Zhengwei Wang,

Zeyu Hao

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 315, P. 118791 - 118791

Published: July 17, 2024

Language: Английский

Citations

2
PV/T System Application for Renewable Heat and Electric Energy in Buildings: Performance and Techno-Economic Analysis DOI Open Access
Kıvanç Başaran, İlayda Koç

Isı Bilimi ve Tekniği Dergisi, Journal Year: 2024, Volume and Issue: 44(2), P. 359 - 373

Published: Oct. 22, 2024

Electricity and thermal energy are used extensively in residential buildings. Meeting these needs with different systems cause loss of efficiency, an increase initial investment cost which critical when making decisions. Therefore, photovoltaic (PV/T) to reduce the economic burden home users. In this article, it is aimed determine performance PV/T system make analysis by considering instantaneous electrical efficiency. Net present value (NPV), payback period (PBP) levelized (LCOE) values were evaluate economically. The novelty study efficiency collectors, ambient temperature as well main water was taken into consideration heat be produced calculated taking on hourly basis. Also, losses annual degradation entire included calculation. As a result analyses, LCOE, NPV, PBP, average efficiencies found 0.0911 €/kWh, 2718.5 €, 6 years, 14.7% 62.3%, respectively, for project size 8.96 m2 25-year life cycle.

Language: Английский

Citations

1
Energy, Exergy, Economic and Exergoeconomic (4E) Analysis of a High-Temperature Liquid CO2 Energy Storage System: Dual-Stage Thermal Energy Storage for Performance Enhancement DOI
Bo Li, Hongpeng Xu, Yuemao Jiang

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 122069 - 122069

Published: Dec. 1, 2024

Language: Английский

Citations

1
Novel design and performance analysis of a selectively filtered nanofluid spectrum semi-trough solar concentrated photovoltaic/thermal system DOI
Gang Wang,

Shuyuan Gao,

Botong Wang

et al.

Energy Sources Part A Recovery Utilization and Environmental Effects, Journal Year: 2024, Volume and Issue: 46(1), P. 12130 - 12147

Published: Aug. 28, 2024

In this paper, the main novelty is proposal and performance analysis of a novel selectively filtered nanofluid spectrum semi-trough solar concentrated photovoltaic-thermal (SPVT) system. Experimental preparation optical tests Ag-CoSO4/water are conducted. The selected for SPVT system has an average absorptance 53.5% transmittance 46.5% in 250.0 ~ 2500.0 nm. results show that efficiency 94.3% under filtering condition. When tracking error increases to 0.3°, can still be kept at 84.8%. This means relatively good adaptability on error. operation indicate condition, electric power photo-electric PV subsystem 392.1 W 30.9%, thermal 40.7%. Effects four factors evaluated, which inlet flow velocity temperature, environmental temperature convection heat transfer coefficient between channel air. improved by properly increasing or reducing from 0.002 m/s 0.004 m/s, 40.9% 50.7%, with increased 6.0°C 14.0°C, decreases 48.6% 45.6%. paper provide certain reference research development works PVT systems future.

Language: Английский

Citations

0