Road Weather Station RWS200 for Roads, Rail, and Runways

Total Page:16

File Type:pdf, Size:1020Kb

Road Weather Station RWS200 for Roads, Rail, and Runways RWS200 Product Catalog Road Weather Station RWS200 for roads, rail, and runways Features Vaisala Road Weather Station RWS200 is designed for the future of road weather systems and Intelligent • Reliable and quality data for educated decision making Transportation Systems (ITS). RWS200 provides a • Increased system reliability complete road weather solution to improve road, rail, or through centralized power runway winter maintenance activities in your management organization. • Local database for data storage RWS200 is reliable, sustainable, thoroughly tested before it leaves the • Battery backup expandable, and upgradable. It provides Vaisala factory. A comprehensive • Fast return of investment through remote access for maintenance and for documentation set, including the test operational savings viewing the observations. You can also reports, is delivered with each RWS200. integrate RWS200 to your data • Built-in web user interface collection system using the various • On-site wireless network access interfaces it offers. to ease annual maintenance RWS200 comprises of high-quality • Easy upgrade and sensor retrofit components that have been specifically from previous versions designed for and tested in harsh conditions. Each RWS200 system is Vaisala Road Weather Station RWS200 of the road. Remote sensors are easier to install and maintain, as no traffic control or cutting of the road surface is required. This also provides additional safety by taking the workers out of the roadway. In addition, the remote surface state sensor provides a value of grip that gives decision makers a quantitative reading of the current road slipperiness. This grip value can be used for a variety of decision-making tools, such as performance indexes or a trigger for variable message signs. Atmospheric sensors Atmospheric sensors enhance the performance of the algorithms when determining the road and runway surface conditions. They also provide additional information that can be critical to the Over the years, several studies and overall traveling environment. This kind Challenges of road research have been done to prove that of information can be, for example, alert maintenance road weather technology provides a of heavy rain. To keep the roads and runways safe and significant return on your investment. passable at all times, the pavement and This largely comes through operational atmospheric weather must be savings of road maintenance and continuously monitored. Weather Intelligent Transportation Systems (ITS) conditions such as snow and ice, heavy activities, which improve mobility and rains, fog, high winds, and sand storms increase safety of travelers. can impact road and runway safety in many different ways. Surface sensors Unfortunately, you cannot usually Road weather stations consist of a observe the weather impact from your variety of sensors that collect office window, so it is important to have atmospheric and road or runway a reliable tool for information gathering. condition data. The sensor selection depends on your needs. Importance of road weather Surface sensors come in two types, stations embedded and remote. Embedded Road weather stations, also known as sensors are placed into the road or Road Weather Information Systems runway surface. They provide data on the (RWIS), have been developed for several conditions on their surface. decades to collect information about Remote (or non-invasive) sensors are a road and runway conditions. The stations newer innovation using infrared and laser not only collect data in remote locations technology to measure surface but also provide a quantitative conditions. They are installed on the side measurement to weather, which in the past was typically done with the human eye. Why RWS200? solution to improve road, rail, or runway winter maintenance activities in your organization. RWS200 features a configurable graphical user interface for a variety of data viewing and maintenance needs. The use of Ethernet communications and 3G/4G cellular network enable remote access to RWS200 and continuous data flow to data collection systems. However, one of the reasons for having an onsite processor is the ability to store historical data locally for at least two weeks. Observation data is not lost even if remote communication is lost. In winter road and runway maintenance, accurate and reliable data must be trustworthy and available when you need Intelligent Scalable to make decisions. The Vaisala Road Weather Station What if you do not want or need a full- RWS200 is the key component to Vaisala feature, complete weather station? What road weather and runway condition if you need a supplemental station that solutions. It has been designed with the collects only a couple of observations? future of road weather and ITS in mind. RWS200 is scalable, allowing you to add RWS200 is intelligent: it contains several the features that you need to match the sophisticated algorithms that bring in requirements at each location. You can raw data from the surface state sensors. choose from different enclosures, various By using other atmospheric sensor options, or use a selected set of observations, RWS200 can produce existing retrofit sensors, if you want. more accurate surface state analysis. If you need to upgrade the station later RWS200 is equipped with smart power on, you can add new sensors or update management. The full featured RWS200 the station software to add new features. comes with a backup battery. When main This allows you to fully benefit from the power is lost, RWS200 detects the future improvements in sensor and change and begins shutting down communication technology, and ensure operations that drain the most power. your return of investment. This ensures that in an environment where power is not always stable, Reliable RWS200 continues to provide RWS200 is not just a roadside processor observations and access to the system as designed to collect, store, and transmit long as battery power is available. data from surface sensors. RWS200 Vaisala sensors are sold around the world provides a complete road weather for many different applications, both separately and with Vaisala weather stations. RWS200 supports a large range of Vaisala sensors and a selected set of third-party sensors. Value of Vaisala Global leader in measurement Road specific design Looking ahead Vaisala is a global leader in Vaisala offers a wide variety of sensors Vaisala is consistently the leader in environmental and industrial for every weather observation. The introducing new road specific sensors. measurement. Building on 80 years of sensors available for RWS200 were The remote sensors provide a level of experience, Vaisala provides carefully chosen to make sure that they decision support unique in the road observations for a better world. We are a fit the demanding conditions that exist weather market. Vaisala continues to reliable partner for customers around the alongside the roadway. The ability to innovate and develop new and exciting world, offering a comprehensive range of have the right sensor for your local surface sensors and solutions. innovative observation and conditions greatly increases the accuracy Our quality sensors, decision support measurement products and services. of observations that are necessary for software, and expert consultation make Whether you are upgrading a legacy critical decisions. the Vaisala Road Weather Station Vaisala road weather station, replacing Vaisala also offers an all-in-one sensor RWS200 more than just a remote another manufacturer’s equipment, or that can measure multiple weather processor – it is a complete road weather adding a new weather site, Vaisala Road observations at once, but its accuracy is station for intelligent transportation Weather Station RWS200 is worth the not as good as with dedicated sensors. systems. investment. System components Acquisition of road Visualization and decision Network management Direct remote Local maintenance weather observations support maintenance connection connection (wired and wireless) • Observations with history Vaisala Wx Horizon, Vaisala NM10 • Observation data quality Vaisala Road DSS Navigator, • Monitoring, events, alerts • Local station configuration • Camera pictures or any 3rd party application • Metadata management • Maintenance and configuration • Calibrations • Protocols: DTO XML, NTCIP, • Remote restart • Software update and restart • Maintenance actions Datex II, MES 14/MES 16 • Centralized software update • Observation visualization • Observation visualization 3G/4G/ Humidity and temperature Air quality Ethernet HMP155E AQT420 DTR radiation shield Serial data Weather transmitter WLAN, GPS collection (MES 14/MES 16 only) Visibility and present WXT536 weather detector PWD12/PWD22 Pressure Wind speed and direction PTB110 WMT70 WA15 Rain detector DRD11A Remote road sensor DSC211 Global radiation sensor SP Lite2 Remote road temperature sensor Water level and DST111 snow depth SR50A Embedded road sensor DRS511 Fixed camera PTZ camera Mobotix Axis Local device control Surface temperature probe DTS12G Tipping bucket RG13H Multidepth temperature probe • 3 relays to control local devices Multiband antenna TPS10 • Configurable rules for control Cellular, GPS, WLAN • Logic operates without network Vaisala Road Weather Station RWS200 Operating environment Data reporting Operating temperature 1) −40 … +60 °C (−40 ... +140 °F) Polled interfaces Vaisala DTO XML DATEX II 2) Storage temperature −60 ... +80 °C (−76 ... +176 °F) NTCIP Operating
Recommended publications
  • 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
    [Show full text]
  • Global Monitoring Division Collaborations/Stakeholders
    Global Monitoring Division Collaborations/Stakeholders Contents: page • Joint Institutes...................................................................2 • NOAA Laboratories and Divisions…………………………………….2 • NOAA Programs…………………………………………………………………4 • Other Federal Agencies……………………………………………………..4 • State and Municipal Agencies……………………………………………9 • National and International Networks……………………………….10 • Observatory Partnerships…………………………………………………11 • International Partnerships………………………………………………..15 • Other Research Collaborations……………………………………….18 2 GLOBAL MONITORING DIVISION COLLABORATIONS 2013- Present JOINT INSTITUTES: • Cooperative Institute for Research in Environmental Sciences (CIRES): NOAA Cooperative Institute at the University of Colorado. Extensive joint research and atmospheric monitoring projects are conducted at the Boulder facilities. • Cooperative Institute for Arctic Research (CIFAR): NOAA Cooperative Institute at the University of Alaska. Cooperative research in Arctic atmospheric science at the Barrow and Boulder facilities. • Cooperative Institute for Mesoscale Meteorological Studies (CIMMS): NOAA Cooperative Institute at the University of Oklahoma. GMD provides large amounts of high quality data for modelers. • Cooperative Institute for Research in the Atmosphere (CIRA): NOAA Cooperative Institute at the Colorado State University. Joint research projects are conducted at the Boulder facility. • Joint Institute for Marine and Atmospheric Research (JIMAR): NOAA Cooperative Institute at the University of Hawaii. Studies of
    [Show full text]
  • CNR4 Net Radiometer Revision: 9/13
    CNR4 Net Radiometer Revision: 9/13 Copyright © 2000-2013 Campbell Scientific, Inc. Warranty “PRODUCTS MANUFACTURED BY CAMPBELL SCIENTIFIC, INC. are warranted by Campbell Scientific, Inc. (“Campbell”) to be free from defects in materials and workmanship under normal use and service for twelve (12) months from date of shipment unless otherwise specified in the corresponding Campbell pricelist or product manual. Products not manufactured, but that are re-sold by Campbell, are warranted only to the limits extended by the original manufacturer. Batteries, fine-wire thermocouples, desiccant, and other consumables have no warranty. Campbell’s obligation under this warranty is limited to repairing or replacing (at Campbell’s option) defective products, which shall be the sole and exclusive remedy under this warranty. The customer shall assume all costs of removing, reinstalling, and shipping defective products to Campbell. Campbell will return such products by surface carrier prepaid within the continental United States of America. To all other locations, Campbell will return such products best way CIP (Port of Entry) INCOTERM® 2010, prepaid. This warranty shall not apply to any products which have been subjected to modification, misuse, neglect, improper service, accidents of nature, or shipping damage. This warranty is in lieu of all other warranties, expressed or implied. The warranty for installation services performed by Campbell such as programming to customer specifications, electrical connections to products manufactured by Campbell, and product specific training, is part of Campbell’s product warranty. CAMPBELL EXPRESSLY DISCLAIMS AND EXCLUDES ANY IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Campbell is not liable for any special, indirect, incidental, and/or consequential damages.” Assistance Products may not be returned without prior authorization.
    [Show full text]
  • Aer Rodrom Me Meteo S Orologi Study Gr Ical Obs
    AMOFSG/9-IP/8 20/9/11 AERODROME METEOROLOGICAL OBSERVATION AND FORECAST STUDY GROUP (AMOFSG) NINTH MEETING Montréal, 26 to 30 September 2011 Agenda Item 5: Observing and forecasting at the aerodrome and in the terminal area 5.1: Observations AUTO METAR SYSTEM AT CIVIL AIRPORTS IN THE NETHERLANDS: DESCRIPTION AND EXPERIENCES (Presented by Jan Sondij) SUMMARY This paper provides an overview of the AUTO METAR system used in the Netherlands. The system includes the entire technical infrastructure used for the automated generation of all meteorological aeronautical observation reports including baack-up systems and procedures. It also includes the supervision of all issued reports by a remote meteorologist who can provide additional information to ATC. Experiences of the performance and acceptance by ATC of the AUTO METAR system are reported. The process of how this was achieved is presented as well as lessons learned. 1. INTRODUCTION 1.1 The eighth meeting of the Aerodrome Meteorological Observation and Forecast Study Group (AMOFSG/8) led to the formation of an ad-hoc group tasked with reviewing the options for the future reporting of present weather in fully automated weather reports. More background on automated weather observations is provided in this information paper. 1.2 This information paper describes the so-called AUTO METAR system at civil airports in the Netherlands. The process of introduction and approval as well as experiences are presented. Some highlights are reported below. Details are given in the appended document entitled AUTO METAR System at Civil Airports in the Netherlands: Description and Experiences by Wauben and Sondij. (49 pages) AMOFSG.9.IP.008.5.en.docx AMOFSG/9-IP/8 - 2 - 1.3 Since 15 March 2011, the AUTO METAR system has been operational 24/7 at Rotterdam-The Hague Airport (EHRD).
    [Show full text]
  • Availability of Climate Data for Water Management
    AVAILABILITY OF CLIMATE DATA FOR WATER MANAGEMENT Kenneth G. Hubbard, Professor School of Natural Resources University of Nebraska, Lincoln, NE. Voice: 402-472-8294 Fax: 402-472-6614 Email: [email protected] ABSTRACT. Evapotranspiration from crops causes depletion of soil water reserves and without rainfall or irrigation to replenish the soil moisture serious crop stress can occur. The Nebraska Automated Weather Data Network (AWDN) was initiated in 1981 in order to provide information on weather variables that effect crop water use: air temperature, humidity, solar radiation, wind speed/direction, soil temperature, and precipitation. By 2003 the public access to AWDN and related products reached 12M per year. This paper describes the Automated Weather Data Network (AWDN) and the interfaces that provide near real time climate services with emphasis on evapotranspiration (ET) or crop water use. Currently, automated weather stations are monitored daily at 54 locations in Nebraska and 10 new stations have been purchased with federal drought funds. There are over 150 stations available in a nine state region. 1.0 INTRODUCTION Several major hurdles must be cleared in order to adequately monitor climate resources. First, an adequate data collection system is needed to monitor critical variables at an acceptable sampling and delivery frequency. Second, quality control (QC) and assurance (QA) are necessary. The QC and QA, when linked to a quick response maintenance and repair capability ensures complete and accurate data for use in summaries and products. Third, regular client feedback (surveys, advisory committees, etc.) is needed in order to meet the needs of decision makers and resource managers in the targeted sectors of the economy.
    [Show full text]
  • Net Radiometer
    OWNER’S MANUAL NET RADIOMETER Model SN-500 APOGEE INSTRUMENTS, INC. | 721 WEST 1800 NORTH, LOGAN, UTAH 84321, USA TEL: (435) 792-4700 | FAX: (435) 787-8268 | WEB: APOGEEINSTRUMENTS.COM Copyright © 2016 Apogee Instruments, Inc. 2 CONTENTS Owner’s Manual ............................................................................................................................................................................................................... 1 Certificate of Compliance .................................................................................................................................................................................... 3 Introduction ............................................................................................................................................................................................................. 4 Sensor Models ......................................................................................................................................................................................................... 5 Specifications ........................................................................................................................................................................................................... 6 Deployment and Installation .............................................................................................................................................................................. 9 Operation and Measurement
    [Show full text]
  • Monitoring the State of Watchington
    Monitoring the State of Watchington Kelly Redmond Western Regional Climate Center Desert Research Institute Reno Nevada University of Washington Scoping Workshop June 15, 2007 So, you wanna run a climate network? A Checklist Guidelines prepared for CIRMOUNT Mountain Climate Network, and for NPS Climate versus Weather Climate measurements require consistency through time. Network Purpose Anticipated or desired lifetime. Breadth of network mission (commitment by needed constituency). Dedicated constituency—no network survives without a dedicated constituency. Site Identification and Selection Spanning gradients in climate or biomes with transects. Issues regarding representative spatial scale—site uniformity versus site clustering. Alignment with and contribution to network mission. Exposure—ability to measure representative quantities. Logistics—ability to service station (Always or only in favorable weather?). Site redundancy (positive for quality control, negative for extra resources). Power—is AC needed? Site security—is protection from vandalism needed? Permitting often a major impediment and usually underestimated. Running a network - 2 Station Hardware Survival—weather is the main cause of lost weather/climate data. Robustness of sensors—ability to measure and record in any condition. Quality—distrusted records are worthless and a waste of time and money. High quality—will cost up front but pays off later. Low quality—may provide a lower start-up cost but will cost more later (low cost can be expensive). Redundancy—backup if sensors malfunction. Ice and snow—measurements are much more difficult than rain measurements. Severe environments (expense is about two–three times greater than for stations in more benign settings). Communications Reliability—live data have a much larger constituency.
    [Show full text]
  • Prototyping Low-Cost Automatic Weather Stations for Natural Disaster Monitoring
    Prototyping Low-Cost Automatic Weather Stations for Natural Disaster Monitoring Gabriel F. L. R. Bernardesa, Rogerio´ Ishibashib, Andre´ A. S. Ivob, Valerio´ Rosseta, Bruno Y. L. Kimuraa,∗ aInstitute of Science and Technology, Federal University of S˜aoPaulo (ICT/UNIFESP), S˜aoJos´edos Campos - SP, Brazil bBrazilian National Center for Monitoring and Early Warnings of Natural Disasters (Cemaden), S˜aoJos´edos Campos - SP, Brazil Abstract Weather events put human lives at risk mostly when people might reside in areas susceptible to natural disasters. Weather monitoring is a pivotal remote sensing task that is accomplished in vulnerable areas with the support of reliable weather stations. Such stations are front-end equipment typically mounted on a fixed mast structure with a set of digital and magnetic weather sensors connected to a datalogger. While remote sensing from a number of stations is paramount, the cost of professional weather instruments is extremely high. This imposes a challenge for large-scale deployment and maintenance of weather stations for broad natural disaster monitoring. To address this problem, in this paper, we validate the hypothesis that a Low-Cost Automatic Weather Station system (LCAWS) entirely developed from commercial-off-the-shelf and open-source IoT technologies is able to provide data as reliable as a Professional Weather Station (PWS) of reference for natural disaster monitoring. To achieve data reliability, we propose an intelligent sensor calibration method to correct weather parameters. From the experimental results of a 30-day uninterrupted observation period, we show that the results of the calibrated LCAWS sensors have no statistically significant differences with the PWS’s results.
    [Show full text]
  • Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition
    Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition Edited by Manajit Sengupta,1 Aron Habte,1 Christian Gueymard,2 Stefan Wilbert,3 Dave Renné,4 and Thomas Stoffel5 1 National Renewable Energy Laboratory 2 Solar Consulting Services 3 German Aerospace Center (DLR) 4 Dave Renné Renewables, LLC 5 Solar Resource Solutions, LLC This update was prepared in collaboration with the International Energy Agency Solar Heating and Cooling Programme: Task 46 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Technical Report NREL/TP-5D00-68886 December 2017 Contract No. DE-AC36-08GO28308 Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition Edited by Manajit Sengupta,1 Aron Habte,1 Christian Gueymard,2 Stefan Wilbert,3 Dave Renné,4 and Thomas Stoffel5 1 National Renewable Energy Laboratory 2 Solar Consulting Services 3 German Aerospace Center (DLR) 4 Dave Renné Renewables, LLC 5 Solar Resource Solutions, LLC Prepared under Task No. SETP.10304.28.01.10 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. National Renewable Energy Laboratory Technical Report 15013 Denver West Parkway NREL/TP-5D00-68886 Golden, CO 80401 December 2017 303-275-3000 • www.nrel.gov Contract No.
    [Show full text]
  • A Distributed Real-Time Short-Term Solar Irradiation Forecasting Network for Photovoltaic Systems
    UNLV Theses, Dissertations, Professional Papers, and Capstones 12-15-2018 A Distributed Real-Time Short-Term Solar Irradiation Forecasting Network for Photovoltaic Systems Michael Adelbert Gacusan Follow this and additional works at: https://digitalscholarship.unlv.edu/thesesdissertations Part of the Computer Engineering Commons, and the Electrical and Computer Engineering Commons Repository Citation Gacusan, Michael Adelbert, "A Distributed Real-Time Short-Term Solar Irradiation Forecasting Network for Photovoltaic Systems" (2018). UNLV Theses, Dissertations, Professional Papers, and Capstones. 3489. http://dx.doi.org/10.34917/14279612 This Thesis is protected by copyright and/or related rights. It has been brought to you by Digital Scholarship@UNLV with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in UNLV Theses, Dissertations, Professional Papers, and Capstones by an authorized administrator of Digital Scholarship@UNLV. For more information, please contact [email protected]. A DISTRIBUTED REAL-TIME SHORT-TERM SOLAR IRRADIATION FORECASTING NETWORK FOR PHOTOVOLTAIC SYSTEMS By Michael Adelbert G. Gacusan Bachelor of Science in Engineering - Electrical Engineering University of Nevada, Las Vegas 2013 A thesis submitted in partial fulfillment of the requirements for the Master of Science in Engineering – Electrical Engineering Department of Electrical and Computer Engineering Howard R. Hughes College of Engineering The Graduate College University of Nevada, Las Vegas December 2018 Copyright by Michael Adelbert G.
    [Show full text]
  • Deriving Cloud Velocity from an Array of Solar Radiation Measurements
    Deriving cloud velocity from an array of solar radiation measurements J.L. Bosch, Y. Zheng, J. Kleissl∗ Department of Mechanical and Aerospace Engineering Center for Renewable Resources and Integration University of California, San Diego La Jolla, California 92093-0411 Abstract Spatio-temporal variability of solar radiation is the main cause of fluctuating photovoltaic power feed-in to the grid. Clouds are the dominant source of such variability and their velocity is a principal input to most short-term fore- cast and variability models. Two methods are presented to estimate cloud speed using radiometric measurements from 8 global horizontal irradiance sensors at the UC San Diego Solar Energy test bed. The first method as- signs the wind direction to the direction of the pair of sensors that exhibits the largest cross-correlation in the irradiance timeseries. This method is con- sidered the ground truth. The second method requires only a sensor triplet; cloud speed and the angle of the cloud front are determined from the time delays in two cloud front arrivals at the sensors. Our analysis showed good agreement between both methods and nearby METAR and radiosonde ob- servations. Both methods require high variability in the input radiation as provided only in partly cloudy skies. Keywords: solar forecasting, solar radiation, cloud motion detection 1. Introduction The key barrier against high PV penetration scenario is power output variability. Clouds cause spatio-temporal variability of solar radiation that is ∗Corresponding Author. Tel.: (858)5348087; Fax: (858)5347599. E-mail Address: [email protected] Preprint submitted to Solar Energy September 14, 2012 the main cause of fluctuating photovoltaic power feed-in to the grid (e.g.
    [Show full text]
  • A Low-Cost Method for Measuring Solar Irradiance Using a Lux Meter
    SHE Technical Report TR-17 A low-cost method for measuring solar irradiance using a lux meter Paul Arveson Director of Research, Solar Household Energy, Inc. March 29, 2017 Citation: Technical Report no. TR-16, Solar Household Energy, Inc., (Mar. 29, 2017) Copyright © 2017, Solar Household Energy, Inc. Solar Household Energy (SHE) strives to unleash the potential of solar cooking to improve social, economic and environmental conditions in sun-rich areas around the world. SHE Technical Reports are intended for use within the solar cooking community, for the rapid dissemination of findings related to solar cookers. They may contain information that is based on limited data, and/or conclusions and recommendations that are solely the opinions of the author, not of the organization. Please contact the author for further correspondence. 1 A low-cost method for measuring solar irradiance using a lux meter Paul Arveson Abstract: This report considers the question whether it is feasible to measure solar irradiance (for solar cooker performance measurements) with a low-cost commercial lux meter, rather than a more expensive pyranometer. The conclusion, based on numerous physical measurements with both instruments, is that it is feasible provided proper calibrations and procedures are followed. The ASABE S.580.1 standard for solar cooker power measurement (ref. 1) requires the measurement of direct normal irradiance (DNI) of solar radiation. The usual instrument for collecting these data is a pyranometer, which is calibrated to measure total solar radiation, or irradiance, in units of Watts/m2. Commercial pyranometers are scientific instruments and cost $200 or more. Examples of several models of pyranometers are shown in Figure 1.
    [Show full text]