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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. -
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. -
Light Interaction with Matter Lesson Plan
Penn State RET in Interdisciplinary Materials Teacher’s Preparatory Guide : GILBERT AMADI Lab Title: Interaction of Light with Matter Purpose: In this unit, students are expected to learn: • How the light can be absorbed or scattered by small objects such as nanoparticles; • How light can be used to monitor the absorption and scattering of solutions; • How to compare light absorption, fluorescence, and light scattering; and • Color sensitivity of the absorption, scattering and fluorescence of a materials. Learning objectives: To recognize the experimental evidence for the wave nature of light. To understand that light travels with different speeds in different media To know the difference between turbidity and light absorbance To explore how different wavelengths interfere with different solution media To understand how blue, green and red) light from hand-hold laser pointers interact with different materials, including nanoparticles, fluorescence dye and milk. To understand the difference between absorbance and fluorescence Time required: 2-3 periods Level: High school National Science Education Standards : 11-12th grade Content Standard A • Abilities necessary to do scientific inquiry Content Standard B • Structure and properties of Light • Light Interaction with matter • Transfer of Energy • Light transmission, absorption, and scattering. • Energy as a property of many substances and its association with heat. • Light, electricity, mechanical motion, sound, atomic, nuclei, and the nature of a chemical • Energy transfer. This -
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. -
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. -
An Overview of and Issues with Sky Radiometer Technology and SKYNET
Atmos. Meas. Tech., 13, 4195–4218, 2020 https://doi.org/10.5194/amt-13-4195-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. An overview of and issues with 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, 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, and Akihiro Yamazaki18 1Satellite Observation Center, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan 2Consiglio Nazionale delle Ricerche, Istituto Scienze dell’Atmosfera e del Clima, via Fosso del Cavaliere 100, 00133, Rome, Italy 3Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, 46 Zhong-Guan-Cun S. Ave., Beijing 100081, China 4Dept. Física de la Terra i Termodinàmica, Universitat de València, Burjassot, València, Spain 5Center for Environmental Remote Sensing, Chiba University, Chiba 263-8522, Japan 6School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Republic of Korea 7Dept. of Atmospheric Sciences, Yonsei University, Seoul 03722, Republic of Korea 8Center for Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, -
Aerosol Modelling : Spatial Distribution and Effects on Radiation
Aerosol modelling : spatial distribution and effects on radiation Citation for published version (APA): Henzing, J. S. (2006). Aerosol modelling : spatial distribution and effects on radiation. Technische Universiteit Eindhoven. https://doi.org/10.6100/IR601939 DOI: 10.6100/IR601939 Document status and date: Published: 01/01/2006 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. -
15.3 Heterogeneous Aqueous Systems 15.3
chem_TE_ch15_PPL.fm Page 459 Wednesday, August 4, 2004 5:53 AM 15.3 Heterogeneous Aqueous Systems 15.3 1 FOCUS Connecting to Your World It wiggles and jiggles. It comes Guide for Reading in many colors and flavors. When you pop it in your mouth, it dissolves. It Key Concepts Objectives is gelatin, one of the most popular desserts in the United States. In fact, • What is the difference between 15.3.1 Distinguish between a suspen- more than a million packages of gelatin are purchased a suspension and a solution? or eaten every day. Gelatin has even traveled into • What distinguishes a colloid sion and a solution. space. In 1996, American astronaut Shannon from a suspension and a 15.3.2 Identify the distinguishing solution? Lucid shared a gelatin dessert with her characteristic of a colloid. Russian crewmates. Gelatin is a heteroge- Vocabulary neous mixture called a colloid. In this section, suspension colloid Guide for Reading you will learn more about the characteristics Tyndall effect of colloids and a related mixture called a Brownian motion Build Vocabulary L2 suspension. emulsion Reading Strategy Venn Diagram Have students make a Previewing Before you read, Venn diagram using the following rewrite the headings of this sec- vocabulary terms: solution, suspension, tion as questions. As you read, colloid, Tyndall effect, Brownian motion. Suspensions write answers to your questions. So far in this chapter, you have learned about homogeneous mixtures that Reading Strategy L2 are formed when compounds such as inorganic acids, bases, and ionic salts Predict Before students begin to read mix with water.