Dynamic modeling, practical verification and energy benefit analysis of a photovoltaic and thermal composite module system

Kuo, Chung‐Feng Jeffrey; Lee, Yu-Wei; Umar, Mega Lazuardi; Yang, Pei-Chung

doi:10.1016/j.enconman.2017.11.036

Cited by 10 publications

(3 citation statements)

References 29 publications

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“…Then, convert Equation ( 8) into the transfer function of the real and imaginary parts of the grid-connected current concerning the grid-connected voltage, as shown in Equation (9).…”

Section: Dynamic Discrete Equivalent Modelmentioning

confidence: 99%

“…To study the dynamic characteristics of the grid-connected PV power generation system, a lot of research has been conducted on its dynamic modeling. The dynamic equivalent model of the PV modules was established for the electrical and thermal characteristics of the PV subsystem [9][10][11][12]. The equivalent description model of the grid-connected PV system was established according to the topology of the inverter to the power grid [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

et al. 2023

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With the increasing proportion of renewable energy in the new power system, the grid-connected capacity of photovoltaic (PV) units shows an obvious upward trend, but its dynamic behavior under different penetration rates significantly affects the transient stability of the power system, so it is crucial to establish a dynamic model that meets the actual working conditions and select a suitable parameter identification method. Therefore, in this paper, based on the electromechanical transient characteristics of the grid-connected PV power generation system, the corresponding dynamic discrete equivalent model is established, and the simulation platform of the grid-connected PV power generation system is built in MATLAB/Simulink to study the adaptability of the dynamic discrete equivalent model of the grid-connected PV power generation system from the single and multiple scenarios using the ordinary least squares (OLS) and bat algorithm (BA) while comparing the generalization ability of the parameters identified by the two methods to the model. The simulation results show that the generalization ability of the parameters identified by the OLS and BA for the model in the single scenario is better, indicating that the model has good adaptability; the generalization ability of a set of general parameters identified by the BA for the model in the multiple scenarios is better than that of the OLS, indicating that the parameters identified by the BA have better adaptability. In conclusion, the dynamic discrete equivalent model of the grid-connected PV power generation system proposed in this paper can accurately reflect the dynamic characteristics of the grid-connected PV power generation system, and the parameters identified by the BA are more generalized than the OLS.

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“…Then, convert Equation ( 8) into the transfer function of the real and imaginary parts of the grid-connected current concerning the grid-connected voltage, as shown in Equation (9).…”

Section: Dynamic Discrete Equivalent Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

et al. 2023

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“…The model PV/T system's thermal and overall performance can be expressed using Equations () and () 52‐54

η_{th} = \frac{Q_{th}}{Q_{inc}}

The sum of thermal and electrical energy grades is used considering the quality of energy to determine the overall performance of the system's amount of energy generation.

η_{italictot} = η_{italicel} + η_{th}

When considering the difference in energy grades between thermal and electrical energy, the system's overall performance can also be calculated using Equation () 55 :

η_{italictot} = η_{th} + \frac{η_{el}}{η_{p}}

where

η_{p}

is the conventional power plant's power‐generation efficiency (38%).…”

Section: Mathematical Modelmentioning

confidence: 99%

Performance enhancement study of ag@ SiO ₂ core‐shell nanoplate plasmonic hybrid spectral splitting nanofluid based photovoltaic thermal system in a temperate region

Meraje

Huang

Ujihara

et al. 2022

Intl J of Energy Research

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Summary Nanofluid spectral splitting photovoltaic thermal (PV/T) systems have become immensely common for the utilization of full‐spectrum. The performance enhancement investigation of the plasmonic hybrid nanofluid spectral filtering PV/T system in dynamical modeling and a practical validation was carried out in this study. The Ag@SiO2 core‐shell nanoplate/ethylene glycol‐CoSO4 plasmonic hybrid nanofluid was synthesized to selectively absorb incident natural sunlight. We used H2O2 as a basic shape‐selective oxidant to synthesize the silver nanoplate using a one‐step method. This approach simplifies seed formation and transformation of spherical nanoparticles to different‐sized nanoplates. A practical study of the plasmonic hybrid nanofluid optical filtering PV/T system was conducted outdoors on sunny days to represent the temperate region and evaluate the dynamic modeling and the system's applicability in real situations. It was found that the plasmonic beam splitter serves as an efficient heat transfer medium and maintains the PV module around the ambient temperature. The highest temperature recorded on the typical day of our experiment was 51.62, 54.34, and 57.56°C for the ethylene‐CoSO4 base fluid and nanofluids with concentrations of 18.3 and 28.3 ppm, respectively, and 33.16°C for the PV panel. The highest overall performance of up to 87.6%, 86.4%, and 85.3% was attained by the spectral filtering plasmonic hybrid nanofluid PV/T system using a 27.3 and 18.3 ppm concentration ratio and hybrid base fluid, respectively. The study shows the nanofluid reduces the electricity output but produces higher merit function values than the PV standalone. This shows that the proposed nanofluid is a potential candidate for PV/T systems targeting utilization of full‐spectrum sunlight and enhancing the overall performance.

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Futuristic approach for thermal management in solar PV/thermal systems with possible applications

Chauhan

Tyagi

Anand

2018

Energy Conversion and Management

104

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Dynamic modeling, practical verification and energy benefit analysis of a photovoltaic and thermal composite module system

Cited by 10 publications

References 29 publications

Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

Performance enhancement study of ag@ SiO ₂ core‐shell nanoplate plasmonic hybrid spectral splitting nanofluid based photovoltaic thermal system in a temperate region

Futuristic approach for thermal management in solar PV/thermal systems with possible applications

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Dynamic modeling, practical verification and energy benefit analysis of a photovoltaic and thermal composite module system

Cited by 10 publications

References 29 publications

Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

Research on Dynamic Modeling and Parameter Identification of the Grid-Connected PV Power Generation System

Performance enhancement study of ag@ SiO 2 core‐shell nanoplate plasmonic hybrid spectral splitting nanofluid based photovoltaic thermal system in a temperate region

Futuristic approach for thermal management in solar PV/thermal systems with possible applications

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Performance enhancement study of ag@ SiO ₂ core‐shell nanoplate plasmonic hybrid spectral splitting nanofluid based photovoltaic thermal system in a temperate region