Dynamic modeling and entity validation of a photovoltaic system

Lee, Yu-Wei; Kuo, Chung‐Feng Jeffrey; Weng, Wei-Han; Huang, Chuanjun; Peng, Cheng-Yu

doi:10.1016/j.apenergy.2017.04.075

Cited by 11 publications

(9 citation statements)

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“…The following assumptions were used in this study to simplify the computation of the model equation. Because of the thickness of each system's component, a uniformly distributed temperature is considered 41,42 The plasmonic hybrid nanofluid is uniformly dispersed throughout the channel leading to a uniform nanofluid flow 41 …”

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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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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“…nilai dari error adalah 0.06% pada persamaan 7 dan ditampilkan pada Tabel 3. Selanjutnya, pengujian keakuratan kedua validasi dari model yang telah simulasikan numerik dengan kondisi yang sebenarnya dan menggunakan model empat parameter lalu dibandingkan dengan eksperimen yang telah dilakukan sebelumnya [7]. Foto ekperimen panel surya ditampilan p-ISSN: 2087-1627, e-ISSN: 2685-9858 pada Gambar 3.…”

Section: Validasi Eksperimenunclassified

“…Gambar 3. Eksperimen panel surya [7,17] Gambar 4 Kurva waktu dan daya perbandingan hasil eksperimen dengan simulasi numerik model empat parameter…”

Section: Validasi Eksperimenunclassified

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Studi Numerik Dengan Model Empat Parameter Untuk Memprediksi Daya Luaran Dari Panel Surya

Umar

Yaqin

2020

infotekmesin

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Panel surya adalah salah satu energi terbarukan yang saat ini diharapkan mampu menjadi alternatif dari energi fosil yang masih digunakan diseluruh dunia. Oleh karena itu, diperlukan sebuah model yang akurat untuk memprediksi daya luaran dari panel surya. Penelitian ini menggunakan model empat parameter untuk memprediksi performa dari panel surya. Model panel surya dengan empat parameter diekstraksi menggunakan aplikasi matlab dari persamaan model satu diode, kemudian hasilnya divalidasi dengan datasheet dan eksperimen. Didapatkan bahwa nilai error daya luaran dari datasheet dan eksperimen sebesar 0.03% dan 3.54% secara berurutan, dengan demikian model empat parameter mampu memodelkan secara akurat dan diharapkan akan mampu menjadi referensi bagi peneliti ataupun pelaku industri di masa yang akan datang

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“…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%

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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Dynamic modeling and entity validation of a photovoltaic system

Cited by 11 publications

References 50 publications

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

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

Studi Numerik Dengan Model Empat Parameter Untuk Memprediksi Daya Luaran Dari Panel Surya

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

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Dynamic modeling and entity validation of a photovoltaic system

Cited by 11 publications

References 50 publications

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

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

Studi Numerik Dengan Model Empat Parameter Untuk Memprediksi Daya Luaran Dari Panel Surya

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

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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

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