Characteristics of Photosynthetic Active Radiation (PAR) Through Statistical Analysis at Larnaca, Cyprus

Pashiardis, Stelios; Sa, Kalogirou; Pelengaris, A

doi:10.36876/smjbb.1009

Cited by 11 publications

(5 citation statements)

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“…Hence, after downloading the data from ICOS network, several quality control (QC) filters are applied to guarantee only the highest-quality data points are used during the comparison, validation, and further establishment of new fitting parameters of all the models. Since there is currently no ideal or widely accepted procedure for the optimal QC of irradiance data (Gueymard and Ruiz-Arias, 2016) neither there is a consensus for QC of measured PAR data (e.g., the reader is referred to the following publications for broad diversity of quality filters regarding measured PAR data (Cruse et al, 2015;Hu et al, 2007;Jacovides et al, 2010Jacovides et al, , 2003Kathilankal et al, 2014;Laccio et al, 2021;Oliphant and Stoy, 2018;Ren et al, 2018;S et al, 2017;Tsubo and Walker, 2005;Wang et al, 2006)), in the present work, the quality checks are made according to the following criteria:…”

Section: Quality Control Of Observation Datamentioning

confidence: 99%

Photosynthetically Active Radiation Decomposition Models for Agrivoltaic Systems Applications

Lu¹,

Zainali²,

Campana³

et al. 2022

Preprint

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Decomposition models of solar irradiance estimate the magnitude of diffuse horizontal irradiance from global horizontal irradiance. These two radiation components are well-known to be essential for the prediction of solar photovoltaic systems performance. In open-field agrivoltaic systems, that is the dual use of land for both agricultural activities and solar power conversion, cultivated crops receive an unequal amount of direct, diffuse and reflected photosynthetically active radiation (PAR) depending on the area they are growing due to the non-homogenously shadings caused by the solar panels installed (above the crops or vertically mounted). It is known that PAR is more efficient for canopy photosynthesis under conditions of diffuse PAR than direct PAR per unit of total PAR. For this reason, it is fundamental to estimate the diffuse PAR component in agrivoltaic systems studies to properly predict the crop yield. Since PAR is the part of electromagnetic radiation in the waveband from 400 to 700 nm that can be used for photosynthesis by the crops, several stand-alone decomposition models of solar irradiance are selected in this study to partition PAR into direct and diffuse. These models are applied and validated in three locations in Sweden: Lanna, Hyltemossa and Norunda, using the coefficients stated on the original publications of the models and locally fitted coefficients. Results showed weaker performances in all stand-alone models for non-locally fitted coefficients (nRMSE ranging from 29% to 95%). However, performances improve with re-parameterization, reaching highest nRMSE of 37.94% in Lanna. YANG2 decomposition model is the best-performing one, reaching lowest nRMSE of 24.31% in Norunda applying re-estimated coefficients. Country level sets of coefficients for the best-performing models, YANG2 and STARKE, are given after parameterization using joined data of the three locations in Sweden. These Sweden-fitted models are tested and showing nRMSE of 25.56% (YANG2) and 28.36% (STARKE). These results can be used to perform estimations of PAR diffuse component in Sweden where measurements are not available, and the overall methodology can be similarly applied to other countries.

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Section: Quality Control Of Observation Datamentioning

confidence: 99%

Photosynthetically Active Radiation Decomposition Models for Agrivoltaic Systems Applications

Lu¹,

Zainali²,

Campana³

et al. 2022

Preprint

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“…Solar systems are classified into two types: photovoltaic (PV) systems that convert sunlight directly to electricity using semiconductor materials [36,[76][77][78][79] and concentrated solar power (CSP) systems that convert sunlight to heat before using the heat to produce electricity [30,41,46,51,80]. Despite the fact that both processes need solar radiation to occur, the photosynthesis process is concerned more with the Photosynthesis Active Radiation (PAR) range [47,52,68,[81][82][83] while electrical energy generation is dependent on solar irradiance or light intensity [8,15,35,84,85].…”

Section: The Importance Of Solar Radiation For Energy Generation and Crop Cultivationmentioning

confidence: 99%

“…The range of light wavelengths that is most suitable for photosynthesis is called Photosynthetically Active Radiation (PAR) [87]. Since photosynthesis is a quantum process, PAR is expressed in terms of Photosynthetic Photon Flux Density (PPFD, mol•m −2 •s −1 ), or in terms of Photosynthetic Radiation Flux Density, Q p (PAR irradiance, W•m −2 ), which is more relevant to energy balance studies [47,81,83].…”

Section: Photosynthetically Active Radiationmentioning

confidence: 99%

“…This total solar irradiance is referred to as solar irradiation. The amount and intensity of R s that the earth's surface receives depends on a variety of factors such as cloud cover [81,[90][91][92][93], latitude [6,73,80,94], altitude [77,78,90,95], season [73,93,[96][97][98], weather [19,38,40,99,100], and daytime [34,46,48,76,101]. In addition, the distance that radiation has to travel is dependent on the angle of the sun [88,93].…”

Section: Light Intensitymentioning

confidence: 99%

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Solar Photovoltaic Architecture and Agronomic Management in Agrivoltaic System: A Review

2021

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Agrivoltaic systems (AVS) offer a symbiotic strategy for co-location sustainable renewable energy and agricultural production. This is particularly important in densely populated developing and developed countries, where renewable energy development is becoming more important; however, profitable farmland must be preserved. As emphasized in the Food-Energy-Water (FEW) nexus, AVS advancements should not only focus on energy management, but also agronomic management (crop and water management). Thus, we critically review the important factors that influence the decision of energy management (solar PV architecture) and agronomic management in AV systems. The outcomes show that solar PV architecture and agronomic management advancements are reliant on (1) solar radiation qualities in term of light intensity and photosynthetically activate radiation (PAR), (2) AVS categories such as energy-centric, agricultural-centric, and agricultural-energy-centric, and (3) shareholder perspective (especially farmers). Next, several adjustments for crop selection and management are needed due to light limitation, microclimate condition beneath the solar structure, and solar structure constraints. More importantly, a systematic irrigation system is required to prevent damage to the solar panel structure. To summarize, AVS advancements should be carefully planned to ensure the goals of reducing reliance on non-renewable sources, mitigating global warming effects, and meeting the FEW initiatives.

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“…Although its importance is widely recognized, PAR is usually not measured in the weather station networks in Brazil and worldwide. To overcome this problem, researchers use different PAR estimation techniques, among which the most used technique to obtain PAR is through simple linear regression with global solar radiation (Rs) (Al-Shooshan, 1997;Jacovides et al, 2007;Steidle Neto et al, 2008;Escobedo et al, 2009;Galvani, 2009;Escobedo et al, 2011;Wang et al, 2014;Pashiardis et al, 2017;Chukwujindu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Relationship between photosynthetically active radiation and global radiation in Petrolina and Brasília, Brazil

Custódio

Silva

Santos

2021

Rev. bras. eng. agríc. ambient.

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Photosynthetically active radiation (PAR) comprises the spectral range of global solar radiation (Rs) that is highly related to vegetation productivity. The study aimed to evaluate the relationship between PAR and Rs in Petrolina, PE, and Brasília, DF, Brazil, with data measured in 2011 and 2013 at two stations of the Sistema Nacional de Organização de Dados Ambientais located in Petrolina, PE and Brasília, DF, Brazil, and the obtained models were evaluated using the measurements of 2014. It was verified that the PAR, in instantaneous values (μmol m-2 s-1), can be estimated at 2.31 times the Rs (W m-2) measured in Petrolina, while for daily values of PAR (MJ m-2) is equal to 50% of Rs (MJ m-2). In Brasília, PAR (μmol m-2 s-1) is 2.05 times the Rs (W m-2) and, in daily values, equal to 44% of Rs (MJ m-2). The variability of the PAR/Rs ratio followed the local variations of clearness index (Kt) and Rs. The models presented an adequate performance based on statistical indices mean absolute error, mean relative error, and root mean square error and can be used to estimate PAR.

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Characteristics of Photosynthetic Active Radiation (PAR) Through Statistical Analysis at Larnaca, Cyprus

Cited by 11 publications

References 0 publications

Photosynthetically Active Radiation Decomposition Models for Agrivoltaic Systems Applications

Photosynthetically Active Radiation Decomposition Models for Agrivoltaic Systems Applications

Solar Photovoltaic Architecture and Agronomic Management in Agrivoltaic System: A Review

Relationship between photosynthetically active radiation and global radiation in Petrolina and Brasília, Brazil

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