Chapter 7 Measurement of Sunshine Duration and Solar Radiation
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Measurement of Radiation
CHAPTER CONTENTS Page CHAPTER 7. MEASUREMENT OF RADIATION ........................................ 222 7.1 General ................................................................... 222 7.1.1 Definitions ......................................................... 222 7.1.2 Units and scales ..................................................... 223 7.1.2.1 Units ...................................................... 223 7.1.2.2 Standardization. 223 7.1.3 Meteorological requirements ......................................... 224 7.1.3.1 Data to be reported. 224 7.1.3.2 Uncertainty ................................................ 225 7.1.3.3 Sampling and recording. 225 7.1.3.4 Times of observation. 225 7.1.4 Measurement methods .............................................. 225 7.2 Measurement of direct solar radiation ......................................... 227 7.2.1 Direct solar radiation ................................................ 228 7.2.1.1 Primary standard pyrheliometers .............................. 228 7.2.1.2 Secondary standard pyrheliometers ............................ 229 7.2.1.3 Field and network pyrheliometers ............................. 230 7.2.1.4 Calibration of pyrheliometers ................................. 231 7.2.2 Exposure ........................................................... 232 7.3 Measurement of global and diffuse sky radiation ................................ 232 7.3.1 Calibration of pyranometers .......................................... 232 7.3.1.1 By reference to a standard pyrheliometer and a shaded -
Solar Radiation Modeling and Measurements for Renewable Energy Applications: Data and Model Quality
March 2003 • NREL/CP-560-33620 Solar Radiation Modeling and Measurements for Renewable Energy Applications: Data and Model Quality Preprint D.R. Myers To be presented at the International Expert Conference on Mathematical Modeling of Solar Radiation and Daylight—Challenges for the 21st Century Edinburgh, Scotland September 15–16, 2003 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute • Battelle • Bechtel Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. -
Development of a Model for Prediction of Solar Radiation
ENGINEERENGINEER - - Vol. Vol. XLVIII, XLVIII No., No. 03, 03 pp., pp. [19-25], [page 2015range], 2015 ©© TheThe Institution Institution of of Engineers, Engineers, Sri SriLanka Lanka Development of a Model for Prediction of Solar Radiation W. D. A. S. Wijayapala and D. H. K. Kushal Abstract: Power generation from renewable energy sources such as wind, mini-hydro, solar etc is becoming increasingly popular due to environmental concerns. However, it is not possible to predict the energy generation of solar power plants in advance. Hence the power system operator has no information about the tomorrow‟s possible energy availability from these non-dispatchable power plants. The outcome of this study enables the system operator to predict the possible energy generation from solar power plants based on the weather forecasts and provide the system operator with predictions on energy generation and capacity of solar power plants connected to the grid. The predictions will enable to prepare the dispatch schedules accordingly. In this study, the effect of the geographical and meteorological parameters for predicting daily global solar radiation at Sooriyawewa, Hambantota in Sri Lanka is investigated. A multiple linear regression was applied to explain the relationship among solar radiation and identified meteorological and geographical parameters such as cloud cover, sunshine duration, precipitation, open air temperature, relative humidity, wind speed, gust speed and sine value of declination angle. Variables in these equations were used to estimate the global solar radiation. Values calculated/predicted from models were compared with the actual measurements to validate the model. Keywords : Solar Power, Solar Radiation, Prediction The most important usage of this model is that 1. -
Heat Transfer and Thermal Modelling
H0B EAT TRANSFER AND THERMAL RADIATION MODELLING HEAT TRANSFER AND THERMAL MODELLING ................................................................................ 2 Thermal modelling approaches ................................................................................................................. 2 Heat transfer modes and the heat equation ............................................................................................... 3 MODELLING THERMAL CONDUCTION ............................................................................................... 5 Thermal conductivities and other thermo-physical properties of materials .............................................. 5 Thermal inertia and energy storage ....................................................................................................... 7 Numerical discretization. Nodal elements ............................................................................................ 7 Thermal conduction averaging .................................................................................................................. 9 Multilayer plate ..................................................................................................................................... 9 Non-uniform thickness ........................................................................................................................ 11 Honeycomb panels ............................................................................................................................. -
An Overview and Issues of the Sky Radiometer Technology and SKYNET
An overview and issues of the sky radiometer technology and SKYNET Teruyuki Nakajima1, Monica Campanelli2, Huizheng Che3, Victor Estellés2,4, Hitoshi Irie5, Sang-Woo Kim6, Jhoon Kim7, Dong Liu8, Tomoaki Nishizawa9, Govindan Pandithurai10, 5 Vijay Kumar Soni11, Boossarasiri Thana12, Nas-Urt Tugjsurn13, Kazuma Aoki14, Sujung Go7,15, Makiko Hashimoto1, Akiko Higurashi9, Stelios Kazadzis16, Pradeep Khatri17, Natalia Kouremeti16, Rei Kudo18, Franco Marenco19, Masahiro Momoi5,20, Shantikumar S. Ningombam21, Claire L. Ryder22, Akihiro Uchiyama9, Akihiro Yamazaki18. 10 1. Satellite Observation Center, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan 2. Consiglio Nazionale delle Ricerche, Istituto Scienze dell'Atmosfera e del Clima, via Fosso del Cavaliere, 100, 00133 - Roma, Italy 3. Centre for Atmosphere Watch And Services, CMA Chinese Academy of Meteorological 15 Sciences; 46 Zhong-Guan-Cun S. Ave., Beijing 100081, China 4. Dept. Física de la Terra i Termodinàmica, Universitat de València, Burjassot, Valencia, Spain 5. Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan 6. School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, 20 Republic of Korea 7. Dept. of Atmospheric Sciences, Yonsei University, Seoul 03722, Republic of Korea 8. Center for Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China 9. National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, 25 Japan 10. Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India 11. Environment Monitoring & Research Centre, India Meteorological Department, Ministry of Earth Sciences, Mausam Bhawan, Lodi Road, New Delhi-110003, India 12. -
Impact of Urbanization on Sunshine Duration from 1987 to 2016 in Hangzhou City, China
atmosphere Article Impact of Urbanization on Sunshine Duration from 1987 to 2016 in Hangzhou City, China Kai Jin 1,2,* , Peng Qin 1 , Chunxia Liu 1, Quanli Zong 1 and Shaoxia Wang 1,* 1 Qingdao Engineering Research Center for Rural Environment, College of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China; [email protected] (P.Q.); [email protected] (C.L.); [email protected] (Q.Z.) 2 State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Water and Soil Conservation, Northwest A&F University, Yangling 712100, China * Correspondence: [email protected] (K.J.); [email protected] (S.W.); Tel.: +86-150-6682-4968 (K.J.); +86-136-1642-9118 (S.W.) Abstract: Worldwide solar dimming from the 1960s to the 1980s has been widely recognized, but the occurrence of solar brightening since the late 1980s is still under debate—particularly in China. This study aims to properly examine the biases of urbanization in the observed sunshine duration series from 1987 to 2016 and explore the related driving factors based on five meteorological stations around Hangzhou City, China. The results inferred a weak and insignificant decreasing trend in annual mean sunshine duration (−0.09 h/d decade−1) from 1987 to 2016 in the Hangzhou region, indicating a solar dimming tendency. However, large differences in sunshine duration changes between rural, suburban, and urban stations were observed on the annual, seasonal, and monthly scales, which can be attributed to the varied urbanization effects. Using rural stations as a baseline, we found evident urbanization effects on the annual mean sunshine duration series at urban and suburban stations—particularly in the period of 2002–2016. -
Modeling Errors in Diffuse-Sky Radiation: Vector Vs. Scalar Treatment
GEOPHYSICAL RESEARCH LETTERS, VOL. 25, NO. 2, Pages 135–138, JANUARY 15, 1998 Modeling errors in diffuse-sky radiation: Vector vs. scalar treatment A.A. Lacis, J. Chowdhary1, M.I. Mishchenko2, and B. Cairns1 NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025 Abstract. Radiative transfer calculations that utilize the This would make the scalar approximation adequate for scalar approximation of light produce intensity errors as most cloud and aerosol radiance calculations. Moreover, large as 10% in the case of pure Rayleigh scattering. This in climate studies, where radiative fluxes and albedos are modeling error, which arises primarily from second order the quantities of interest, the integration over scattering scattering, is greatly reduced for flux and albedo results angle has the fortuitous effect of averaging out radiance because of error cancellation brought about by integration errors to the point where no one has seriously worried over scattering angle. However, polarized light scattered about the adequacy of the scalar approximation. Also, from an underlying ocean surface, or from atmospheric since climate related applications typically rely on relative aerosols, interacts with the pattern of Rayleigh scattered differences and radiative flux ratios, this tends to further polarization to distort the error cancellation and thus incur dilute the significance of potential errors that arise from larger flux and albedo errors. While addition of scattered the scalar approximation. radiation from clouds, aerosols or ground surface into the Recent comparisons of model results and observations Rayleigh atmosphere tends to reduce the magnitude of (e.g., Kato, et al., 1997; Kinne, et al. 1997; Charlock and scalar approximation intensity errors, the scalar errors in Alberta, 1996; Wild, et al. -
Variation in Surface Air Temperature of China During the 20Th Century
Journal of Atmospheric and Solar-Terrestrial Physics 73 (2011) 2331–2344 Contents lists available at ScienceDirect Journal of Atmospheric and Solar-Terrestrial Physics journal homepage: www.elsevier.com/locate/jastp Variation in surface air temperature of China during the 20th century Willie Soon a,n, Koushik Dutta b, David R. Legates c, Victor Velasco d, WeiJia Zhang e a Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA b Large Lakes Observatory, University of Minnesota-Duluth, Duluth, MN 55812, USA c College of Earth, Ocean, and Environment, University of Delaware, Newark, DE 19716, USA d Departamento de Investigaciones Solares y Planetarias, Instituto de Geofisica, Universidad Nacional Autonoma de Mexico, Ciudad Universitaria, C.P. 04510, Mexico e Department of Physics, Peking University, Beijing 100871, China article info abstract Article history: The 20th century surface air temperature (SAT) records of China from various sources are analyzed Received 21 March 2011 using data which include the recently released Twentieth Century Reanalysis Project dataset. Two key Received in revised form features of the Chinese records are confirmed: (1) significant 1920s and 1940s warming in the 20 July 2011 temperature records, and (2) evidence for a persistent multidecadal modulation of the Chinese surface Accepted 25 July 2011 temperature records in co-variations with both incoming solar radiation at the top of the atmosphere as Available online 3 August 2011 well as the modulated solar radiation reaching ground surface. New evidence is presented for this Keywords: Sun–climate link for the instrumental record from 1880 to 2002. Additionally, two non-local physical Total solar irradiance aspects of solar radiation-induced modulation of the Chinese SAT record are documented and Sunshine duration discussed. -
Diffuse Solar Radiation and Associated Meteorological Parameters in India
Ann. Geophysicae 14, 1051Ð1059 (1996) ( EGS Ð Springer-Verlag 1996 Di¤use solar radiation and associated meteorological parameters in India A. B. Bhattacharya1, S. K. Kar1, R. Bhattacharya2 1 Department of Physics, Kalyani University, Kalyani, West Bengal, 741 235, India 2 Centre of Advanced Study in Radio Physics and Electronics, Calcutta University, Calcutta, 700 009, India Received: 15 November 1995/Revised: 15 May 1996/Accepted: 27 May 1996 Abstract. Solar di¤use radiation data including global decades, but the data obtained so far are not enough radiation, shortwave and longwave balances, net radi- (Ideriah, 1992). Clouds are visible symbols of atmospheric ation and sunshine hours have been extensively analyzed activity and these are the seats of atmospheric electricity to study the variation of di¤use radiation with turbidity (Bhattacharya, 1994). No detailed analysis has yet been and cloud discharges appearing in the form of atmospher- made between the solar di¤use radiation, turbidity and ics over the tropics. Results of surface radiation measure- cloud discharges. We were thus prompted to study the ments at Calcutta, Poona, Delhi and Madras are presented variation of di¤use radiation with (1) turbidity and together with some meteorological parameters. The (2) cloud discharges appearing in the form of atmospher- monthly values of di¤use radiation and the monthly ratios ics over the tropics. of di¤use to global solar radiation have been examined, Solar radiation data for a period of 10 years from with a special emphasis in relation to the noise level of October 1982 to September 1992, including di¤use radi- atmospherics at Calcutta in the very low frequency band. -
Development of Analytical Equations for Optimum Tilt of Two-Axis and Single- Axis Rotating Solar Panels for Clear-Atmosphere Condition" (2016)
Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2016 Development of Analytical Equations for Optimum Tilt of Two- Axis and Single-Axis Rotating Solar Panels for Clear-Atmosphere Condition Gaurav Subhash Gugale Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Oil, Gas, and Energy Commons, and the Power and Energy Commons Repository Citation Gugale, Gaurav Subhash, "Development of Analytical Equations for Optimum Tilt of Two-Axis and Single- Axis Rotating Solar Panels for Clear-Atmosphere Condition" (2016). Browse all Theses and Dissertations. 1693. https://corescholar.libraries.wright.edu/etd_all/1693 This Thesis is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. DEVELOPMENT OF ANALYTICAL EQUATIONS FOR OPTIMUM TILT OF TWO-AXIS AND SINGLE-AXIS ROTATING SOLAR PANELS FOR CLEAR-ATMOSPHERE CONDITIONS A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Renewable and Clean Energy Engineering By GAURAV SUBHASH GUGALE B.E., University of Pune, India, 2014 2016 Wright State University WRIGHT STATE UNIVERSITY GRADUATE SCHOOL December 16, 2016 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Gaurav Subhash Gugale ENTITLED Development of Analytical Equations for Optimum Tilt of Two-Axis and Single-Axis Rotating Solar Panels for Clear-Atmosphere Conditions BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in Renewable and Clean Energy Engineering. -
Comparative Study of Isotropic and Anisotropic Sky Models to Estimate Solar Radiation Incident on Tilted Surface: a Case Study for Bhopal, India
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Shukla, K. N.; Rangnekar, Saroj; Sudhakar, K. Article Comparative study of isotropic and anisotropic sky models to estimate solar radiation incident on tilted surface: A case study for Bhopal, India Energy Reports Provided in Cooperation with: Elsevier Suggested Citation: Shukla, K. N.; Rangnekar, Saroj; Sudhakar, K. (2015) : Comparative study of isotropic and anisotropic sky models to estimate solar radiation incident on tilted surface: A case study for Bhopal, India, Energy Reports, ISSN 2352-4847, Elsevier, Amsterdam, Vol. 1, pp. 96-103, http://dx.doi.org/10.1016/j.egyr.2015.03.003 This Version is available at: http://hdl.handle.net/10419/187817 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. -
Forecasting of Severe Thunderstorms Using Upper Air Data
International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-2015 306 ISSN 2229-5518 Forecasting of Severe Thunderstorms using Upper Air data Sonia Bhattacharya, Anustup Chakrabarty and Himadri Chakrabarty Abstract— Severe local thunderstorm is the extreme weather convective phenomenon generated from cumulonimbus cloud. It has a devastating effect on human life. Correct forecasting is very crucial factor to save life and property. Here in this paper we have applied artificial neural network to achieve desired result. Multilayer perceptron has been applied on upper air data such as sunshine hour, pressure at freezing level, height at freezing level and cloud coverage (octa NH). MLP predicted correctly both ‘squall’ and ‘no squall’ storm days more than 90% with 12 hours leading time. Index Terms— MLP, squall, cumulus cloud, sunshine hour, pressure at freezing level, height at freezing level, octa 1 INTRODUCTION University Kolkata, India, PH-919433355720, E-mail: [email protected] When not obscured by haze or other clouds, the Thunderstorm is one of the most devastating top of a cumulonimbus is bright and tall, reaching up to an altitude of 10-16 km (lower in higher type of mesoscale, convective weather latitudes and higher in the tropics). Although a phenomenon, generated from the cumulonimbus thunderstorm is a three-dimensional structure, it cloud. It occurs in different subtropical places of should be thought of as a constantly evolving the world, (Ludlam, 1963). Over 40,000 process rather than an object. Each thunderstorm, thunderstorms occur throughout the world each or cluster of thunderstorms, is a self-contained day[1] The strong wind which has the speed of at system with organized regions of up drafts least 45 kilometers per hour with the duration of (upward moving air) and downdrafts (downward minimum 1 secondIJSER is termed as squall [1].