China
Africa
Explore chapters and articles related to this topic
Common Sense Emergency Response
Published in Robert A. Burke, Common Sense Emergency Response, 2020
Most of today’s monitors are equipped with bright visual and loud audible alarms to warn of potential hazards. An internal data logger will help you to comply with the documentation of your spaces’ hazards. A data logger is a device containing a microprocessor that stores information electronically taken from an instrument. The levels of all hazards being monitored can be downloaded from the data logger to a computer or printed for reference and recordkeeping activities. Event-logging mode, which records information when an incident or event occurs.Recharging. Docking systems also can be used to charge monitors when not in use. This will ensure the monitor is fully charged the next time it is used.Instrument diagnostics. Automated maintenance systems may include technology that provides a means for diagnosing potential problems with your monitor, such as low or marginal sensor life and date of the last calibration, along with the number of days until the next calibration is due.
Wind Energy
Published in Sergio C. Capareda, Introduction to Renewable Energy Conversions, 2019
The question may be raised on how frequently wind speed should be recorded and stored. Data logging systems have become sophisticated enough that one can get wind speed data every second. The recommendation of the World Meteorological Organization (WMO, Geneva Switzerland), a special agency of the United Nations, is to have wind speed readings at least hourly for accurate wind resource estimates. The standard height of wind measuring instruments is set at 10 meters [32.8 ft]. The WMO suggestion is to have numerous wind speed readings (ideally as many as the measuring instrument can handle, usually every second) 10 minutes before the top of the hour, averaging these values accordingly (WMO, 2011). It is up to the recorder to set the frequency of measurements and encoding. This will vary according to the capacity of the data logger and the storage capacity of the logging system. For most wind resource calculations, hourly readings are appropriate. For a quick estimate of wind power and wind energy, the average wind speed calculated and Equation 3.6 are used. However, as discussed in earlier sections, the calculation process frequently underestimates the wind power or energy. The next section will provide a method for estimating wind power and wind energy at a given location.
Balance of Systems
Published in Majid Jamil, M. Rizwan, D. P. Kothari, Grid Integration of Solar Photovoltaic Systems, 2017
Majid Jamil, M. Rizwan, D. P. Kothari
A data logger is an electronic device used to automatically monitor and record environment parameters over time, allowing conditions to be measured, documented, analyzed, and validated. The data logger contains a sensor to receive the information and a computer chip to store it. Then the information stored in the data logger is transferred to a computer for analysis. A data logger has the following advantages: Measurements are always taken at the right time. Unlike a human, the computer will not forget to take a reading or take a reading late or too early.Graphs and tables of results can be produced automatically by the data logging software.
Experimental performance evaluation of tracking photovoltaic system based on variable water flow rate with surface temperature
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2023
Sally Afram Polus, Ranj Sirwan Abdullah
The data logger was designed to record various data at each one-minute interval; it measured temperature, voltage, current, solar intensity, and water volume flow rate. The temperature sensors (k-type thermocouple) are connected to six analog channels measuring inlet and outlet water temperature from the PVT panel, three points on the PVT panel surface, and one sensor on the PV panel (without cooling), while the DHT11 temperature sensor measured the ambient temperature. Ambient light sensors are used to track solar radiation and a stepper motor to automatically move the system east west. The tracking system operating concept is based on comparing the light intensity between two TEMT6000X01 sensors installed normal to PV panel surface and separated by a plate as shown in Figure 3, thus based on the solar rays on both sensors, one of the sensors will be shaded while the other one lit up. The sensor that is illuminated will produce a stronger signal, while the other one will produce a weaker signal, so that the difference in output voltage will indicate the rotation direction of the panel. The signal will be transferred to the stepper motor, which results in movement of the panel to that direction. So that maximum incident radiation falling over the PV panel all the time will be maintained, as a result converting higher portion of radiation into electricity.
Experimental study of solar desalination performance due to water depths, flow rates and using heat recovery from disposed brine
Published in International Journal of Ambient Energy, 2022
M. R. Assari, H. Basirat Tabrizi, M. Parvar, E. Esfandeh
Temperatures were measured using digital D-type sensors composed of stainless steel (DS18B20 model). Data logger had temperature measurement accuracy of 0.015°C 0.01%. Total uncertainty () in each measurement was determined by combining the uncertainty in the accuracy of the sensor () and the measurement instrument () using the root-sum-of-squares method, which resulted in . A graduated transparent glass bottle with an accuracy of 1 mL was used to measure the production with uncertainty 0.577 mL. Solar radiation was measured using a TES132 solar power meter with an accuracy of 0.1 W/m2 for values less than 200 W/m2 and an accuracy of 1 W/m2 for values greater than 200 W/m2 and uncertainty of 5.773 W/m2. Table 2 shows the accuracy and uncertainty of the measuring devices. Table 3 describes the properties of inlet water and distilled water.
Attic ventilation and radiant heat barriers in naturally ventilated galvanized metal-Roofed buildings
Published in Advances in Building Energy Research, 2022
Jefrey I. Kindangen, Octavianus H. Rogi, Pierre H. Gosal, Veronica A. Kumurur
For the purposes of data collection in each experimental scenario, data loggers are provided in the form of Elitech RC-4HC Thermohygrometers, which are installed in each test cell and are used to record temperature and relative humidity readings from the air in the attic room (1.55 m above the floor surface) and the occupancy room (0.70 m above the floor surface). The placement of the data logger in the attic room, which tends to ‘stick’ to the top of the ceiling plane, is to represent the attic air temperature, which will be a transmittive heat source towards the occupancy space through the ceiling plane. Furthermore, the placement of the data logger in the occupancy space, which is relative to the lower part of the window opening frame, is a representation of the elevation of the human body position in the occupancy space on a normal scale. Each data logger has a temperature measurement range of −30 to +60 °C with a precision level of ±0.5 °C, a humidity measurement range of 0–99% with an accuracy of ±3%, and a data storage capacity of 16,000 points. In addition to the above datalogger, the Multifunction Environment Meter is also used to monitor the air flow velocity and can detect temperature and relative humidity in addition to other parameters. Schematically, the placement of the measuring device in relation to the physical design of the test cell can be seen in Figure 5.