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Article

Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique for Estimation of Solar Irradiance for Sustainable Energy Systems

School of Basic Sciences and Humanities, German Jordanian University, P.O. Box 35247, Amman 11180, Jordan
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(2), 508; https://doi.org/10.3390/su10020508
Submission received: 16 January 2018 / Revised: 29 January 2018 / Accepted: 7 February 2018 / Published: 13 February 2018
(This article belongs to the Section Energy Sustainability)

Abstract

:
Solar irradiance measurement is a key component in estimating solar irradiation, which is necessary and essential to design sustainable energy systems such as photovoltaic (PV) systems. The measurement is typically done with sophisticated devices designed for this purpose. In this paper we propose a smartphone-aided setup to estimate the solar irradiance in a certain location. The setup is accessible, easy to use and cost-effective. The method we propose does not have the accuracy of an irradiance meter of high precision but has the advantage of being readily accessible on any smartphone. It could serve as a quick tool to estimate irradiance measurements in the preliminary stages of PV systems design. Furthermore, it could act as a cost-effective educational tool in sustainable energy courses where understanding solar radiation variations is an important aspect.

1. Introduction

Solar irradiation is the total amount of solar energy falling on a surface and it can be related to the solar irradiance by considering the area under solar irradiance versus time curve [1]. Measurements or estimation of the solar irradiation (solar energy in W·h/m2), in a specific location, is key to study the optimal design and to predict the performance and efficiency of photovoltaic (PV) systems; the measurements can be done based on the solar irradiance (solar power in W/m2) in that location [2,3,4]. The performance of a PV system, module or array depends on many factors, one of which is the solar irradiance the solar panels receive during the day (peak sun-hours) [3,4,5]. There are devices specifically designed to measure solar irradiance, such as the pyranometer and the irradiance meter [2,3,6,7,8,9]. These devices can measure irradiance with high accuracy and cover a wide spectral range. These devices can be expensive and sometimes need special installation prior to the measurement. Therefore, cost-effective tools are needed to estimate the solar irradiance especially in the preliminary design stages. Recently, smartphones (smart devices) have not only served in communications and media, but also have been used for multiple scientific purposes such as teaching [10,11], medical care [12,13], environment [14] and agriculture [15]. The broad range of applications for smart devices comes from the different sensors embedded in them, such as an accelerometer, a digital compass, a gyroscope, a global positioning system (GPS), a microphone and a camera. Smartphone sensors have been widely used in research and education for scientific and educational experiments. For example, a survey has been done by Reese Bomhold [16] on mobile phone applications for undergraduate university students. The accelerometer sensor has been used to study the simple pendulum phenomena and harmonic oscillations [17,18,19,20]. In addition, the smartphone acceleration sensors were used to quantitatively analyze a system of coupled oscillators [21]. Furthermore, the smartphone ambient light sensor has been used to study a system of two coupled springs [22]. The rotation sensors have been used to study the conservation of angular momentum, non-conservation of rotational kinetic energy [23], rotational energy in a pendulum [24], and the relation between angular velocity and centripetal acceleration [25,26]. In addition, the Coriolis acceleration was measured using the gyroscope and accelerometer sensors in a smartphone [27]. The applications of these sensors are not limited to mechanics. They also have been used to study different phenomena in magnetic fields [28,29,30,31,32,33], ultraviolet solar radiation [34,35,36,37,38], and measurements of solar current [39]. Mei et al. used the smartphone to measure the ultra-violet radiation (UV) and results were compared with a digital UV meter to validate the usage of the sensor on a smartphone [34]. Wilkes et al. have discussed the possibility of using the smartphone sensor as a UV camera system [40,41]. Finally, Gutierrez-Martinez et al. discussed the possibility of using smartphone devices for light measurements in a case study. Their study showed that the measurements were acceptable if high-precision data is not required but it can be a good reference in comparison with high professional devices that are designed for this type of measurement [42].
The smartphone camera can be used as an irradiance measurement tool, provided that a certain application is downloaded on the device for this specific purpose. In this work, the smartphone’s camera, along with a mechanical setup, is used to validate the usability of smartphone for measuring solar irradiance. It can serve as a quick method to give an indication of how a PV system will perform in a certain area in the preliminary design stages. In addition, this work can be used as an educational tool to help students understand the solar irradiance variability during the day and its relation to other design parameters. The measurements are taken by a smartphone and compared with those acquired by a digital solar irradiance meter. The practicality of the presented work is demonstrated by studying the relation between the solar irradiance and the incident angle, hour of the day, and tilt angle.

2. Experimental Setup and Measurements Procedure

As the objective of this experiment is to demonstrate the use of smartphones in measuring the solar irradiance for the purpose of education and scientific experiments, we have used two types of instruments for measuring the solar irradiance. The first one is a solar irradiance meter of model Solar Survey 200R from SEWARD that has been calibrated by the manufacturer, which is one of the high technology instruments that are used in the solar radiation measurements. These measurements are used to determine the usability of a certain area for photovoltaic systems and thermal installation. This model has a photovoltaic reference cell of wavelength response between ~0.3 and 1.2 μm [43], a solar irradiance measurement range of 100–1250 W/m2, and a resolution of 1 W/m2. Also, there is a built-in compass of 0–360° range and 1° resolution [6]. The cost of this irradiance meter is in the range of a couple of thousand dollars. The data taken with this model was used to validate the measurements taken by a smartphone. An application called “Pyranometer App 2.0” by Hukseflux Thermal Sensors [44], has to be downloaded to the smartphone before proceeding to the measurement section. The application is free and can be downloaded from the App store [45] or an equivalent one can be found in Google Play [46]. A diffuser also has to be placed on top of the camera, as seen in Figure 1. The diffuser allows for a full-sky field of view while the camera alone has a 30-degree field of view. The application can store all the measurements such as the irradiance in W/m2, date and local time of measurement, latitude and longitude.
A mechanical setup, shown in Figure 2, is proposed to help with the required measurements. It consists of a freely-rotating platform where the smartphone will be attached. The whole platform and the cross bar can be rotated horizontally. There is also a compass attached at the top for reference. This setup has been made in the workshop and has already been used in our previous work [31], which contains more details about the setup. When the platform rotates vertically, it changes the tilt angle and the incident angle. The objective of this experiment is to validate our use for smartphones as a tool for solar irradiance measurement.
The procedure of this experiment is as follows:
  • A smartphone solar irradiance sensor is downloaded on an iPhone 7 from Hukseflux for free and then the filter is used to cover the camera, as shown in Figure 1.
  • The smartphone is placed horizontally of the semicircular Teflon piece where the tilt angle is 0° and simultaneously a solar irradiance meter is used, as shown in Figure 3.
  • A calibration is done before doing any measurements. The calibration is done by entering a benchmark value of irradiance corresponding to the current irradiance. The app suggests this value to be found from weather stations in the current location for that time of the year. We used the value measured by the irradiance meter for the calibration of the app. The data is taken every half hour from 9:00 to 15:00 continuously and simultaneously with the solar irradiance meter.
  • Another set of measurements is taken to demonstrate the relation between the tilt angle and the solar irradiance using the smartphone only. The mechanical setup is used in this part to help in rotating the smartphone at the required angle. The measurement is taken for tilt angles from 0° to 60° at a fixed day hour, where the rotation of the surface is facing south.
Figure 4 shows a schematic diagram that illustrates the incident ray of the solar radiation on the surface with surface azimuth angle (γ) equal to zero. In this figure, N = North, S = South, and E = East, β is the tilt angle; θi is the angle of incidence between the sun ray and the normal to the surface.
The solar incidence angle can be calculated according to reference [1]. The incident angle, for a surface tilted in such way facing south, is given by:
cos θ i = sin δ sin ( φ β ) + cos δ cos ( φ β ) cos ω
where δ is the solar declination angle, φ is the geographic latitude, and ω is the hour angle. All measured in degrees.

3. Results and Discussion

In this work, the measurements were taken on 17 November 2017 at a location in the northern part of Amman-Jordan with local latitude and longitude, φ and Le, given by 32° N and 36° E, respectively. Table 1 summarizes the measured and calculated solar radiation parameters using smartphone and irradiance meter at zero tilt angle (β = 0). The percentage differences of the measured solar irradiances are also shown in the table. The mean absolute error of the measured irradiance values, between the smartphone and irradiance meter, is 40.23 W/m2.
Figure 5 shows the solar irradiance versus the hour of the day measured by smartphone and irradiance meter. The measurements were performed at flat surface where the tilt angle is equal to zero (β = 0). In reference to the expected deviation of 30% as reported in the application manual [44], the results measured by the smartphone are in good agreement with those measured by irradiance meter and the maximum deviation of the current measurements was within 20%. It is clearly seen, the radiation is getting higher as the day goes by, where the sun gets closer to the normal to the surface and, hence the incident angle (θi) decreases.
The effect of the incident angle and day hour on the solar radiation is shown in Figure 6 and Figure 7 for both smartphone and solar irradiance meter, respectively. The figures show three axes (irradiance, time, and incident angle). Starting in the morning the sun ray is far from the normal to the surface axis, and it gets closer reaching a maximum at noon then decreases afterwards. Therefore, the solar irradiance reaches its maximum when the incident angle is minimum at noon.
To further verify the validity of smartphone use for this application, the measurement of solar irradiance is done at a certain day hour during the day but for different tilt angles. The day hour is fixed at 13:00 while the title angle, β, is changed between 0° and 60° as summarized in Table 2 and shown in Figure 8.
Figure 8 shows the effect of tilt angle on the solar irradiance measurement. The graph shows that, as β increases, so does the irradiance. As β increases, θi decreases as it gets closer to the normal to the surface vector, resulting in a larger irradiance being incident on the surface. Weather fluctuations have a direct effect on the irradiance and hence some measurements might be different than expected as evidenced by the constant irradiance between 20° and 25° tilt angles. The global solar constant Gsc (1361 W/m2) [47] has been added in the figure and the 30% deviation error bars, as mentioned in the application manual, have been shown in the figure as well.
Despite its lack of high accuracy, our method can act as an indicator where an accurate measurement is not required but rather how the measurement changes with certain parameters. This experiment can also be used as an effective educational tool to help students develop a better understanding of concepts related to solar irradiance, such as the relation between solar irradiance and solar incident angle as well as the inclination angle of the surface (tilt angle).

4. Conclusions

In this paper, we presented a method for solar irradiance measurement, which takes advantage of smartphones’ widespread use and availability. We proposed two experiments to validate our method. The first one is to quantify how the solar irradiance changes and how the angle of incidence changes during the day. The measurements were also taken by an irradiance meter for comparison. The second experiment uses a mechanical setup, which allows the smartphone to rotate vertically to show the solar irradiance dependence on the tilt angle. The mechanical setup is also accessible and can be built in the workshop with low-cost materials. The proposed method has a lower accuracy than a typical irradiance meter. However, it is very reliable to indicate change in irradiance and its variability when we change different parameters. Also it is cost-effective and easily accessible to anyone who owns a smartphone. It could also serve as a great educational tool to understand solar irradiance variability and the interaction between different parameters in PV solar panels design.

Author Contributions

Hussein Al-Taani wrote the paper, performed the measurements, and contributed to the analysis. Sameer Arabasi designed the experiment and contributed to the writing and analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Muhammad, I. An Introduction to Solar Radiation, 1st ed.; Academic Press: Don Mills, ON, Canada, 1983; pp. 1–28. ISBN 0123737524. [Google Scholar]
  2. Poudyal, K.N.; Bhattarai, B.K.; Sapkota, B.K.; Kjeldstad, B.; Karki, N.R. Estimation of Global Solar Radiation using Pyranometer and NILU-UV Irradiance Meter at Pokhara Valley in Nepal. J. Inst. Eng. 2014, 9, 69–78. [Google Scholar] [CrossRef]
  3. Al-Addous, M.; Dalala, Z.; Class, C.B.; Alawneh, F.; Al-Taani, H. Performance analysis of off-grid PV systems in the Jordan valley. Renew. Energy 2017, 113, 930–941. [Google Scholar] [CrossRef]
  4. Ma, W.W.; Rasul, M.G.; Liu, G.; Li, M.; Tan, X.H. Climate change impacts on techno-economic performance of roof PV solar system in Australia. Renew. Energy 2016, 88, 430–438. [Google Scholar] [CrossRef]
  5. Akinyele, D.O.; Rayudu, R.K. Comprehensive techno-economic and environmental impact study of a localised photovoltaic power system (PPS) for off-grid communities. Energy Convers. Manag. 2016, 124, 266–279. [Google Scholar] [CrossRef]
  6. Seaward. Solar Survey Multifunction Solar Irradiance Meters, 2017. Available online: http://www.seawardsolar.com/downloads/survey_100_and_200r_datasheets_international_v1.3.pdf (accessed on 14 January 2018).
  7. Zeqiang, B.; Wenhua, L.; Yizhuo, S.; Xiaolei, H.; Wei, C. Research on performance test method of silicon pyranometer. In Proceedings of the 2013 IEEE 11th International Conference on Electronic Measurement & Instruments, Harbin, China, 16–19 August 2013. [Google Scholar]
  8. Nagamine, F.; Shimokawa, R.; Miyake, Y.; Nakata, M.; Fujisawa, K. Calibration of Pyranometers for the photovoltaic device field. Jpn. J. Appl. Phys. 1990, 29, 516–521. [Google Scholar] [CrossRef]
  9. Pandey, C.K.; Katiyar, A.K. Solar radiation: Models and measurement techniques. J. Energy 2013, 2013, 305207. [Google Scholar] [CrossRef]
  10. González, M.Á.; González, M.Á.; Martín, M.E.; Llamas, C.; Martínez, Ó.; Vegas, J.; Herguedas, M.; Hernández, C. Teaching and Learning Physics with smartphones, in Blended Learning: Concepts, Methodologies, Tools, and Applications. IGI Glob. 2017, 866–885. [Google Scholar] [CrossRef]
  11. Kuhn, J. Relevant information about using a mobile phone acceleration sensor in physics experiments. Am. J. Phys. 2014, 82, 94. [Google Scholar] [CrossRef]
  12. Darocha, T.; Majkowski, J.; Sanak, T.; Podsiadło, P.; Kosiński, S.; Sałapa, K.; Mazur, P.; Ziętkiewicz, M.; Gałązkowski, R.; Krzych, Ł.; et al. Measuring core temperature using the proprietary application and thermo-smartphone adapter. J. Clin. Monit. Comput. 2017, 31, 1299–1304. [Google Scholar] [CrossRef] [PubMed]
  13. Consolvo, S.; Libby, R.; Smith, I.; Landay, J.A.; McDonald, D.W.; Toscos, T.; Chen, M.Y.; Froehlich, J.; Harrison, B.; Klasnja, P.; et al. Activity sensing in the wild: A field trial of ubifit garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy, 5–10 April 2008. [Google Scholar]
  14. Mun, M.; Boda, P.; Reddy, S.; Shilton, K.; Yau, N.; Burke, J.; Estrin, D.; Hansen, M.; Howard, E.; West, R. PEIR, the personal environmental impact report, as a platform for participatory sensing systems research. In Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, Kraków, Poland, 22–25 June 2009. [Google Scholar]
  15. Vesali, F.; Omid, M.; Mobli, H.; Kaleita, A. Feasibility of using smart phones to estimate chlorophyll content in corn plants. Photosynthetica 2017, 55, 603–610. [Google Scholar] [CrossRef]
  16. Reese Bomhold, C. Educational use of smart phone technology: A survey of mobile phone application use by undergraduate university students. Program 2013, 47, 424–436. [Google Scholar] [CrossRef]
  17. Vogt, P.; Kuhn, J. Analyzing simple pendulum phenomena with a smartphone acceleration sensor. Phys. Teach. 2012, 50, 439–440. [Google Scholar] [CrossRef]
  18. Kuhn, J.; Vogt, P. Analyzing spring pendulum phenomena with a smart-phone acceleration sensor. Phys. Teach. 2012, 50, 504–505. [Google Scholar] [CrossRef]
  19. Carlos Castro-Palacio, J.; Velázquez-Abad, L.; Giménez, M.H.; Monsoriu, J.A. Using a mobile phone acceleration sensor in physics experiments on free and damped harmonic oscillations. Am. J. Phys. 2013, 81, 472–475. [Google Scholar] [CrossRef]
  20. Monteiro, M.; Cabeza, C.; Marti, A.C. Acceleration measurements using smartphone sensors: Dealing with the equivalence principle. Rev. Bras. Ensino Fís. 2015, 37, 1303. [Google Scholar] [CrossRef]
  21. Castro-Palacio, J.C.; Velázquez-Abad, L.; Giménez, F.; Monsoriu, J.A. A quantitative analysis of coupled oscillations using mobile accelerometer sensors. Eur. J. Phys. 2013, 34, 737. [Google Scholar] [CrossRef]
  22. Sans, J.A.; Manjón, F.J.; Pereira, A.L.J.; Gomez-Tejedor, J.A.; Monsoriu, J.A. Oscillations studied with the smartphone ambient light sensor. Eur. J. Phys. 2013, 34, 1349–1354. [Google Scholar] [CrossRef]
  23. Shakur, A.; Sinatra, T. Angular momentum. Phys. Teach. 2013, 51, 564–565. [Google Scholar] [CrossRef]
  24. Monteiro, M.; Cabeza, C.; Marti, A.C. Rotational energy in a physical pendulum. Phys. Teach. 2014, 52, 180–181. [Google Scholar] [CrossRef]
  25. Monteiro, M.; Cabeza, C.; Marti, A.C.; Vogt, P.; Kuhn, J. Angular velocity and centripetal acceleration relationship. Phys. Teach. 2014, 55, 312–313. [Google Scholar] [CrossRef]
  26. Hochberg, K.; Gröber, S.; Kuhn, J.; Müller, A. The spinning disc: Studying radial acceleration and its damping process with smartphone acceleration sensors. Phys. Educ. 2014, 49, 137. [Google Scholar] [CrossRef]
  27. Shakur, A.; Kraft, J. Measurement of Coriolis acceleration with a smartphone. Phys. Teach. 2016, 54, 288–290. [Google Scholar] [CrossRef]
  28. Arribas, E.; Escobar, I.; Suarez, C.P.; Najera, A.; Beléndez, A. Measurement of the magnetic field of small magnets with a smartphone: A very economical laboratory practice for introductory physics courses. Eur. J. Phys. 2015, 36, 065002. [Google Scholar] [CrossRef]
  29. Kim, S.-E.; Kim, Y.; Yoon, J.; Kim, E.S. Indoor positioning system using geomagnetic anomalies for smartphones. In Proceedings of the 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sydney, Australia, 13–15 November 2012. [Google Scholar]
  30. Gozick, B.; Subbu, K.P.; Dantu, R.; Maeshiro, T. Magnetic maps for indoor navigation. IEEE Trans. Instrum. Meas. 2011, 60, 3883–3891. [Google Scholar] [CrossRef]
  31. Arabasi, S.; Al-Taani, H. Measuring the Earth’s magnetic field dip angle using a smartphone-aided setup: A simple experiment for introductory physics laboratories. Eur. J. Phys. 2016, 38, 025201. [Google Scholar] [CrossRef]
  32. Ogawara, Y.; Bhari, S.; Mahrley, S. Observation of the magnetic field using a smartphone. Phys. Teach. 2017, 55, 184–185. [Google Scholar] [CrossRef]
  33. Renaudin, V.; Combettes, C. Magnetic, acceleration fields and gyroscope quaternion (MAGYQ)-based attitude estimation with smartphone sensors for indoor pedestrian navigation. Sensors 2014, 14, 22864–22890. [Google Scholar] [CrossRef] [PubMed]
  34. Mei, B.; Cheng, W.; Cheng, X. Fog Computing Based Ultraviolet Radiation Measurement via Smartphones. In Proceedings of the 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb), Washington, DC, USA, 12–13 November 2015. [Google Scholar]
  35. Igoe, D.; Parisi, A.; Carter, B. Characterization of a smartphone camera’s response to ultraviolet a radiation. Photochem. Photobiol. 2013, 89, 215–218. [Google Scholar] [CrossRef] [PubMed]
  36. Igoe, D.P.; Parisi, A.V.; Carter, B. Evaluating UVA aerosol optical depth using a smartphone camera. Photochem. Photobiol. 2013, 89, 1244–1248. [Google Scholar] [CrossRef] [PubMed]
  37. Turner, J.; Parisi, A.V.; Igoe, D.P.; Amar, A. Detection of ultraviolet B radiation with internal smartphone. Sens. Instrum. Sci. Technol. 2017, 45, 618–638. [Google Scholar] [CrossRef]
  38. Fahrni, T.; Kuhn, M.; Sommer, P.; Wattenhofer, R.; Welten, S. Sundroid: Solar radiation awareness with smartphones. In Proceedings of the 13th International Conference on Ubiquitous Computing, Beijing, China, 17–21 September 2011. [Google Scholar]
  39. Igoe, D.P.; Parisi, A.V. Solar current output as a function of sun elevation: Students as toolmakers. Phys. Educ. 2015, 50, 657–661. [Google Scholar] [CrossRef]
  40. Wilkes, T.; McGonigle, A.; Pering, T.; Taggart, A.; White, B.; Bryant, R.; Willmott, J. Ultraviolet imaging with low cost smartphone sensors: Development and application of a raspberry Pi-based UV camera. Sensors 2016, 16, 1649. [Google Scholar] [CrossRef] [PubMed]
  41. Wilkes, T.C.; McGonigle, A.J.S.; Willmott, J.R.; Pering, T.D.; Cook, J.M. Low-cost 3D printed 1 nm resolution smartphone sensor-based spectrometer: Instrument design and application in ultraviolet spectroscopy. Opt. Lett. 2017, 42, 4323–4326. [Google Scholar] [CrossRef] [PubMed]
  42. Gutierrez-Martinez, J.-M.; Castillo-Martinez, A.; Medina-Merodio, J.-A.; Aguado-Delgado, J.; Martinez-Herraiz, J.-J. Smartphones as a Light Measurement Tool: Case of Study. Appl. Sci. 2017, 7, 616. [Google Scholar] [CrossRef]
  43. Dunn, L.; Gostein, M.; Emery, K. Comparison of pyranometers vs. PV reference cells for evaluation of PV array performance. In Proceedings of the 38th IEEE Photovoltaic Specialists Conference, Austin, TX, USA, 3–8 June 2012. [Google Scholar]
  44. Hukseflux. User Manual Pyranometer APP 2.0 (Manual v1504). Available online: https://www.hukseflux.com/sites/default/files/product_manual/Pyranometer_App_2.0_manual_v1504.pdf (accessed on 14 January 2018).
  45. Hukseflux. Solar Measurement/PyranometerApp. Available online: https://itunes.apple.com/az/app/solar-measurement-pyranometerapp/id449857438?mt=8 (accessed on 14 January 2018).
  46. Apogee_Instruments. Clear Sky Calculator. Available online: https://play.google.com/store/apps/details?id=com.apogee.clearsky (accessed on 25 January 2018).
  47. Yordanov, G.H.; Saetre, T.O.; Midtgård, O.-M. Extreme overirradiance events in Norway: 1.6 suns measured close to 60° N. Sol. Energy 2015, 115, 68–73. [Google Scholar] [CrossRef]
Figure 1. Smartphone device with the application interface and the required filter covering the camera.
Figure 1. Smartphone device with the application interface and the required filter covering the camera.
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Figure 2. The experimental mechanical setup.
Figure 2. The experimental mechanical setup.
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Figure 3. Setup orientation, smartphone pointing north and rotating toward south.
Figure 3. Setup orientation, smartphone pointing north and rotating toward south.
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Figure 4. Schematic vector diagram showing the main axes and vectors. The surface azimuth angle (γ) was taken to be zero since the surface is heading north and tilted in such way facing south.
Figure 4. Schematic vector diagram showing the main axes and vectors. The surface azimuth angle (γ) was taken to be zero since the surface is heading north and tilted in such way facing south.
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Figure 5. Solar irradiance in W/m2 versus day hour at zero tilt angle for smartphone and irradiance meter measurements.
Figure 5. Solar irradiance in W/m2 versus day hour at zero tilt angle for smartphone and irradiance meter measurements.
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Figure 6. The relation between Incident angle, irradiance, and Day hour using the smartphone.
Figure 6. The relation between Incident angle, irradiance, and Day hour using the smartphone.
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Figure 7. The relation between Incident angle, irradiance, and Day hour using the solar irradiance meter.
Figure 7. The relation between Incident angle, irradiance, and Day hour using the solar irradiance meter.
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Figure 8. Irradiance in W/m2 versus tilt angle at a fixed day hour.
Figure 8. Irradiance in W/m2 versus tilt angle at a fixed day hour.
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Table 1. The incident angle in degrees and solar irradiance in W/m2 measured by smartphone and irradiance meter at different day hours.
Table 1. The incident angle in degrees and solar irradiance in W/m2 measured by smartphone and irradiance meter at different day hours.
Solar Irradiance in W/m2
Day HourSmartphoneIrradiance MeterIncident Angle (Degree)Percentage Difference (%)
9:0052050068.664.00
9:3061759064.164.57
10:0066765860.171.36
10:3070270856.810.85
11:0079778054.22.18
11:3076678252.452.05
12:0073573551.650
12:3057563051.848.73
13:0066766253.020.76
13:3062262055.110.32
14:0041951058.0217.84
14:3041842161.630.71
15:0031531765.830.63
Table 2. Solar irradiance in W/m2 measured by smartphone and calculated incident angles at different tilt angles in degrees.
Table 2. Solar irradiance in W/m2 measured by smartphone and calculated incident angles at different tilt angles in degrees.
Tilt Angle (Degree)Smartphone Irradiance Measurements (W/m2)Incident Angle (Degree)
066753.0
579548.2
1093343.4
15105538.7
20120534.0
25121429.4
30133324.9
35145320.7
40154216.9
45159813.9
50164212.1
55161212.3
60157014.3

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MDPI and ACS Style

Al-Taani, H.; Arabasi, S. Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique for Estimation of Solar Irradiance for Sustainable Energy Systems. Sustainability 2018, 10, 508. https://doi.org/10.3390/su10020508

AMA Style

Al-Taani H, Arabasi S. Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique for Estimation of Solar Irradiance for Sustainable Energy Systems. Sustainability. 2018; 10(2):508. https://doi.org/10.3390/su10020508

Chicago/Turabian Style

Al-Taani, Hussein, and Sameer Arabasi. 2018. "Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique for Estimation of Solar Irradiance for Sustainable Energy Systems" Sustainability 10, no. 2: 508. https://doi.org/10.3390/su10020508

APA Style

Al-Taani, H., & Arabasi, S. (2018). Solar Irradiance Measurements Using Smart Devices: A Cost-Effective Technique for Estimation of Solar Irradiance for Sustainable Energy Systems. Sustainability, 10(2), 508. https://doi.org/10.3390/su10020508

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