Efficiency Improvement of Ground-Mounted Solar Power Generation in Agrivoltaic System by Cultivation of Bok Choy (Brassica rapa subsp. chinensis L.) Under the Panels

Kumpanalaisatit, Manoch; Setthapun, Worajit; Sintuya, Hathaithip; Jansri, Surachai

doi:10.14710/ijred.2022.41116

Cited by 26 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors also discovered that the plants cultivated under the SPV roof were shorter than their counterparts. Kumpanalaisatit et al (2022) made the same observation and discovered that the pak choi plants cultivated in an agrivoltaic system were shorter and had fewer leaves compared with their counterparts.…”

Section: Effect Of Solar Module Shade On Yieldmentioning

confidence: 79%

“…Therefore, they concluded that the light intensity under the SPV roof was suitable for the growth of pak choi. Furthermore, Kumpanalaisatit et al (2022) cultivated pak choi in ground-mounted agrivoltaic facilities with higher shading. They reported that the yield of pak choi in such facilities was 92% lower than that of the control group because the solar modules were closer to the ground and the shading rate was higher.…”

Section: Effect Of Solar Module Shade On Yieldmentioning

confidence: 99%

See 1 more Smart Citation

Effect of Simulated Photovoltaic Roofs on the Yield and Nitrate Content of Pak Choi and Rape

Hsiao,

Wang,

Hsu

2023

horts

View full text Add to dashboard Cite

Integrating solar modules into agricultural production constitutes a novel type of agricultural industry. We evaluated the effect of setting opaque plastic solar modules on greenhouse roofs on the crop growth inside greenhouse. The opaque plastic agricultural films simulating the material of solar modules and the greenhouse roofs covered with these films were used, and the yield and nitrate content of pak choi (Brassica chinensis ‘Bekamaru’) and rape (Brassica napus ‘Dragon’) under these films were measured. The results indicated that the yield of pak choi did not change considerably by a simulated photovoltaic (SPV) roof with a shading rate of 38% compared with an uncovered plastic (PL) roof. However, during the first and second planting periods, the yield of rape under the PL roof substantially exceeded that under the SPV roof by 31% and 34%, respectively, indicating that the effect of shading on the yield of rape was greater than that on the yield of pak choi. In addition, the appearance of pak choi and rape also changed under the SPV roof, such as fewer leaves, lower chlorophyll content, and larger specific leaf areas. Nevertheless, the nitrate content of crops grown under the SPV roof exceeded that of crops grown under the PL roof. In conclusion, based on the expression of yield and growth of crops, pak choi is suitable for cultivation in greenhouses that are equipped with photovoltaic systems. However, to prevent plants from accumulating excessive nitrate, attention must be focused on the amount and frequency of nitrogen fertilizers application.

show abstract

Section: Effect Of Solar Module Shade On Yieldmentioning

confidence: 79%

Section: Effect Of Solar Module Shade On Yieldmentioning

confidence: 99%

Effect of Simulated Photovoltaic Roofs on the Yield and Nitrate Content of Pak Choi and Rape

Hsiao,

Wang,

Hsu

2023

horts

View full text Add to dashboard Cite

show abstract

“…A solar-based photovoltaic (PV) energy system is the most common form of renewable energy source, having a huge presence in energy markets. , This is because the Sun’s continuous solar energy of 1367 W/m 2 is distributed throughout the atmosphere. The total amount of energy absorbed by the planet from solar radiation at any instance is estimated as 1.8 × 10 11 MW .…”

Section: Machine Learning For Rementioning

confidence: 99%

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Sharma¹,

Said

Kumar³

et al. 2022

Energy Fuels

222

View full text Add to dashboard Cite

Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity of the working fluid has a huge impact on the efficiency of the renewable energy system. The addition of a small amount of high thermal conductivity solid nanoparticles to a base fluid improves heat transfer. Even though a large amount of research data is available in the literature, some results are contradictory. Many influencing factors, as well as nonlinearity and refutations, make nanofluid research highly challenging and obstruct its potentially valuable uses. On the other hand, data-driven machine learning techniques would be very useful in nanofluid research for forecasting thermophysical features and heat transfer rate, identifying the most influential factors, and assessing the efficiencies of different renewable energy systems. The primary aim of this review study is to look at the features and applications of different machine learning techniques employed in the nanofluid-based renewable energy system, as well as to reveal new developments in machine learning research. A variety of modern machine learning algorithms for nanofluid-based heat transfer studies in renewable and sustainable energy systems are examined, along with their advantages and disadvantages. Artificial neural networks-based model prediction using contemporary commercial software is simple to develop and the most popular. The prognostic capacity may be further improved by combining a marine predator algorithm, genetic algorithm, swarm intelligence optimization, and other intelligent optimization approaches. In addition to the well-known neural networks and fuzzy- and gene-based machine learning techniques, newer ensemble machine learning techniques such as Boosted regression techniques, K-means, K-nearest neighbor (KNN), CatBoost, and XGBoost are gaining popularity due to their improved architectures and adaptabilities to diverse data types. The regularly used neural networks and fuzzy-based algorithms are mostly black-box methods, with the user having little or no understanding of how they function. This is the reason for concern, and ethical artificial intelligence is required.

show abstract

“…The solar power output and development of Brassica rapa subsp. Chinensis L. at a 25-kW PV power plant was compared to the control by Manoch Kumpanalaisatit et al (Kumpanalaisatit et al 2022) With a crop yield of 2.28 kW, the PV generated the most electricity. Ruth Anne Gonocruz et al (Gonocruz et al 2021) studied a variety of factors that affect rice crop yield, including fertiliser application, temperature, and solar radiation, all of which were directly observed and evaluated to see if changes were linked to PV systems erected above rice farms.…”

Section: Greenhouse Agrivoltaics In Protected Cultivationmentioning

confidence: 99%

A review study on the design and control of optimised greenhouse environments

Chimankare,

Das,

Kaur

et al. 2023

J. Trop. Ecol.

View full text Add to dashboard Cite

Greenhouses are inflated structures with transparent covering that are used to grow crops under controlled climatic conditions. Crops are protected from extreme climate-related events by being enclosed. Furthermore, the greenhouse design ratio impacts the temperature and humidity distribution profile uniformity as well as the greenhouse. As a result, by effectively designing the greenhouse structure, building materials, dimensions, and shapes, the cost of cooling management strategies can be reduced. Structures with changed arch shapes showed to be more effective at reducing greenhouse cooling demands in hot areas. To demonstrate the tropical region’s inherent capabilities for generating a proper atmosphere for plant development, the optimal temperature, humidity, light, and PH for greenhouse production of crops were supplied. Greenhouse cooling systems are dominated by local environmental characteristics that have an immediate impact on their indoor climatic conditions. Photovoltaic systems in greenhouses have proven technological capacity in real-world settings in this area. This could increase the energy efficiency of some agrivoltaic greenhouse design options.

show abstract

Efficiency Improvement of Ground-Mounted Solar Power Generation in Agrivoltaic System by Cultivation of Bok Choy (Brassica rapa subsp. chinensis L.) Under the Panels

Cited by 26 publications

References 20 publications

Effect of Simulated Photovoltaic Roofs on the Yield and Nitrate Content of Pak Choi and Rape

Effect of Simulated Photovoltaic Roofs on the Yield and Nitrate Content of Pak Choi and Rape

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

A review study on the design and control of optimised greenhouse environments

Contact Info

Product

Resources

About