scholarly journals Low Cost High Altitude Automatic Weather Station Design

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Khaled M Dadesh ◽  
Saif M Ben Rhouma
Keyword(s):  
Wind Speed ◽  
High Altitude ◽  
Open Source ◽  
Meteorological Data ◽  
Low Cost ◽  
Real Data ◽  
Data Logger ◽  
Wind Speed Data ◽  
Resource Data ◽  
Wind Resource

When looking at installing a renewable energy generator, you need to be confident of the resource (solar, wind) at your particular location as this affects the energy generated at the selected site. With solar photovoltaic (PV) systems, this can be done by looking at historic data, generally from satellite readings, for the particular latitude. This will yield pretty accurate resource data. However, the wind resource is incredibly variable and depends upon the exact topology of the area. Houses, trees, and valleys all can affect the local wind resource. For this reason, wind speed data is collected at a potential wind turbine installation site. This gives real data which can be used to assess the wind speed. When installing a number of very expensive large wind turbines, one must be very confident about the wind speed data. The data must be robust and reliable and the developer will be willing to spend a lot of money on accurate industrial equipment to have lots of confidence in the data. This project intends to overcome this barrier by providing a low-cost, reusable, open-source wind speed recording unit, which can be left at high altitude in a remote location to record data and help improve the site’s wind speed assessment. We have proposed and developed a low-cost hardware module based on Arduino open source platform, which measures the meteorological data, including air, temperature, relative humidity, wind speed and solar radiation, with two options: The first is the wireless option at which it sends the measured information to Excel spreadsheet running on a PC through wireless link. The second is the data logger option at which it records the measured data to SD card as Excel file with date and time every 10 seconds..

Low-cost Open-source 12-channel MPPT Data Logger for Solar Cell Research

2021 ◽  
Author(s):  
Michael D. Kelzenberg ◽  
Samuel P. Loke ◽  
Harry A. Atwater
Keyword(s):  
Solar Cell ◽  
Open Source ◽  
Low Cost ◽  
Data Logger

scholarly journals Open-source Arduino-compatible data loggers designed for field research

2019 ◽  
Vol 23 (4) ◽  
pp. 2065-2076 ◽  
Author(s):  
Andrew D. Wickert ◽  
Chad T. Sandell ◽  
Bobby Schulz ◽  
Gene-Hua Crystal Ng
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Field Research ◽  
Environmental Sensors ◽  
Data Logger ◽  
Alkaline Batteries ◽  
Data Loggers ◽  
Open Source Data ◽  
Source Data ◽  
The Usa

Abstract. Automated electronic data loggers revolutionized environmental monitoring by enabling reliable high-frequency measurements. However, the potential to monitor the complex environmental interactions involved in global change has not been fully realized due to the high cost and lack of modularity of commercially available data loggers. Responding to this need, we developed the ALog (Arduino logger) series of three open-source data loggers, based on the popular and easy-to-program Arduino microcontroller platform. ALog data loggers are low cost, lightweight, and low power; they function between −30 and +60 ∘C, can be powered by readily available alkaline batteries, and can store up to 32 GB of data locally. They are compatible with standard environmental sensors, and the ALog firmware library may be expanded to add additional sensor support. The ALog has measured parameters linked to weather, streamflow, and glacier melt during deployments of days to years at field sites in the USA, Canada, Argentina, and Ecuador. The result of this work is a robust and field-tested open-source data logger that is the direct descendant of dozens of individuals' contributions to the growing open-source electronics movement.

Analyzing wind speed data and wind power density of Tetouan city in Morocco by adjustment to Weibull and Rayleigh distribution functions

2017 ◽  
Vol 41 (3) ◽  
pp. 174-184 ◽  
Author(s):  
Mohamed Hatim Ouahabi ◽  
Farid Benabdelouahab ◽  
Abdellatif Khamlichi
Keyword(s):  
Wind Speed ◽  
Measurement Data ◽  
Rayleigh Distribution ◽  
Distribution Functions ◽  
Statistical Distributions ◽  
Energy Potential ◽  
Distribution Models ◽  
Wind Speed Data ◽  
Resource Characteristics ◽  
Wind Resource

Several statistical distributions have been considered to model wind speed data. However, Weibull and Rayleigh statistical distributions are the most widely used methods for analyzing wind speed measurements and determining wind energy potential. In this work, these statistical distributions were applied in order to evaluate the wind resources in the northern Moroccan city of Tetouan. Adjustment of wind measurement data was performed. Then, the obtained results were compared with the provided wind data to test their accuracy based on common statistical indicators for performance. It was found that the Weibull and Rayleigh distribution models provide adequate description of the frequencies of actual wind records in Tetouan. They can be advantageously used to assess wind resource characteristics in this region.

scholarly journals Análise comparativa da velocidade do vento e da temperatura do ar, entre dados gerados por reanálises meteorológicas e dados observacionais na região de Minas Gerais

2018 ◽  
Vol 40 ◽  
pp. 20
Author(s):  
Mauren Lucila Marques de Morais Micalichen ◽  
Nelson Luís da Costa Dias
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Meteorological Data ◽  
Reanalysis Data ◽  
Minas Gerais ◽  
Data Series ◽  
Continuous Series ◽  
Observation Data ◽  
Alternative Source ◽  
Wind Speed Data

The use of alternative sources of meteorological data has become increasingly common, making it possible to evaluate areas with no long or continuous series of meteorological data. In this context, the main objective of this study is to evaluate the performance of data series from the National Centers for Environmental Prediction / National Center for Atmospheric Research (NCEP/NCAR) for the state of Minas Gerais and verify the possible use of them in the absence of data observations of air temperature and wind speed. The analyzes were performed by comparing observation data from 17 meteorological stations and reanalysis data of the CFSR and CFSV2 models. From the results of the statistical analysis, it is observed that the air temperature reanalysis data presented a good performance in the region of study. However, wind speed data show a weak correlation. These results show that the air temperature data from these reanalyses have the potential to be used as an alternative source of data. Further studies are suggested regarding the use of wind speed data from these reanalyses.

Wind resource prospecting: Predicting winds aloft using surface winds and the position of the sun

2020 ◽  
pp. 0309524X2094439
Author(s):  
Marc Arbez
Keyword(s):  
Wind Speed ◽  
Quantitative Research ◽  
Energy Production ◽  
Low Cost ◽  
Surface Wind ◽  
The Sun ◽  
Wind Speeds ◽  
Remote Sites ◽  
Wind Resource ◽  
Production Errors

The sun’s position in the sky appears to strongly influence the vertical wind gradient within the atmospheric boundary layer. This study uses a quantitative research design that combines the position of the sun along with surface wind speeds to estimate the wind gradient. The model applies to uncluttered simple terrain and requires only 10 m wind speed data to extrapolate wind speeds and wind turbine energy production to heights of 60 m or more. The average daytime and nighttime model wind speed errors are 1.7% and 2.4%, respectively. The average daytime and nighttime model turbine energy production errors are 3.8% and 6.1%, respectively. The model offers a practical and low-cost alternative to tall tower systems to assess wind resources, especially for remote sites.

scholarly journals A low-cost, open-source autonomous surface vehicle as a multipurpose waste stabilization pond monitoring platform

2018 ◽  
Vol 9 (1) ◽  
pp. 172-180
Author(s):  
A. Cuppens ◽  
G. Menesse ◽  
E. Caligaris ◽  
O. Marecos ◽  
G. Wyseure
Keyword(s):  
Open Source ◽  
Autonomous Navigation ◽  
Low Cost ◽  
Construction Materials ◽  
Working Environment ◽  
Monitoring Data ◽  
Data Logging ◽  
Data Logger ◽  
Autonomous Surface Vehicle ◽  
Waste Stabilization

Abstract Although waste stabilization ponds (WSPs) are widely used in developing countries, monitoring data on their operational performance are scarce. Traditional methods for monitoring in-pond conditions, i.e. conducting hand held measurements from a small boat or installing fixed sensor networks, are not straightforward to realize and create an unhealthy working environment for field workers. A promising technology for the safe and efficient collection of monitoring data is a compact autonomous surface vehicle (ASV), capable of autonomous navigation along a predefined trajectory based on geographic coordinates and measurements in different places and depths. In this practical paper, the development process, technical details and functional testing results of a low-cost ASV for WSP monitoring are presented. Commonly available construction materials and electronic components were used to ensure affordability and reparability. The access to online tutorials and peer-support was crucial for assembling the open-source autopilot and data logger. The ASV demonstrated satisfactory performance for both the autonomous navigation as well as the georeferenced data logging of measurements at a real-scale WSP in Paraguay. This study demonstrates how the adoption of open-source hardware and software offers the flexibility for the wastewater professionals to develop customized DIY solutions for specific monitoring applications and working environments.

scholarly journals Offshore wind: An opportunity for cost-competitive decarbonization of China’s energy economy

2020 ◽  
Vol 6 (8) ◽  
pp. eaax9571
Author(s):  
Peter Sherman ◽  
Xinyu Chen ◽  
Michael McElroy
Keyword(s):  
Energy Demand ◽  
Meteorological Data ◽  
Low Cost ◽  
The United States ◽  
Offshore Wind ◽  
Ancillary Benefits ◽  
Onshore Wind ◽  
Wind Potential ◽  
Energy Economy ◽  
Wind Resource

China has reduced growth in its emissions of greenhouse gases, partly attributable to major investments in onshore wind. By comparison, investments in offshore wind have been minor, limited until recently largely by perceptions of cost. Assimilated meteorological data are used here to assess future offshore wind potential for China. Analysis on a provincial basis indicates that the aggregate potential wind resource is 5.4 times larger than the current coastal demand for power. Recent experiences with markets in both Europe and the United States suggest that potential offshore resources in China could be exploited to cost-competitively provide 1148.3 TWh of energy in a high-cost scenario, 6383.4 TWh in a low-cost option, equivalent to between 36 and 200% of the total coastal energy demand after 2020. The analysis underscores notable benefits for offshore wind for China, with prospects for major reductions in greenhouse emissions with ancillary benefits for air quality.

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