A method for solar radiation error correction of temperature measured in a reinforced plastic screen for climatic data collection

2017 ◽  
Vol 38 (3) ◽  
pp. 1328-1336 ◽  
Author(s):  
Jie Yang ◽  
Qingquan Liu ◽  
Wei Dai

Author(s):  
Yue WANG ◽  
Qingquan LIU ◽  
Jiahong ZHANG ◽  
Min LI


2021 ◽  
Vol 92 (5) ◽  
pp. 055010
Author(s):  
Jiahong Zhang ◽  
Xiaolu Xie ◽  
Qingquan Liu ◽  
Min Li ◽  
Xiaoli Mao


Tropics ◽  
2005 ◽  
Vol 14 (2) ◽  
pp. 179-190 ◽  
Author(s):  
Eiji NAWATA ◽  
Yoshikatsu NAGATA ◽  
Arimichi SASAKI ◽  
Kenji IWAMA ◽  
Tetsuo SAKURATANI


Author(s):  
Ojo Samuel ◽  
Alimi Taofeek Ayodele ◽  
Amos Anna Solomon

Mathematical models have been very useful in reducing challenges encountered by researchers due to the inability of having solar radiation data or lack of instrumental sites at every point on the Earth.  This work aimed at investigating the prediction performance of Hargreaves-Samani’s model in estimating global solar radiation (GSR) out of the many other empirical models so far formulated for this purpose. This model basically uses maximum and minimum temperature data and basically used in mid-latitudes. The paper attempts to assess the predictive performance of Hargreaves-Samani’s model in the Savanna region using Yola as a case study. Estimated values of GSR from one month data adopted from the Meteorological station of the Department of Geography, Federal University of Technology, Yola, Nigeria was used for this purpose. Using this model shows a 95% index of agreement (IA) with the observed values; which suggests a good model performance and can also be used in estimating global solar radiation in the Savanna region particularly in areas with little or no such climatic data.



2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Jorge S. Carlos ◽  
Helena Corvacho

Keeping the indoor air quality within the reference levels requires that the polluted indoor air be replaced by fresh air coming from the outside. This paper presents a sensitivity analysis and a series of simulations where the performance of this passive system is studied. The influence of each relevant factor, like the wind, the solar radiation, and the outdoor air temperature, is assessed. Two different local sets of climatic data were chosen, a mild and a cold winter.



2016 ◽  
Vol 45 (1) ◽  
pp. 112004
Author(s):  
郑茹 ZHENG Ru ◽  
张国玉 ZHANG Guo-yu ◽  
高越 GAO Yue ◽  
杨礼艳 YANG Li-yan ◽  
徐毅刚 XU Yi-gang


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 127353-127367 ◽  
Author(s):  
Gunwoo Lee ◽  
Byeong-Cheol Moon ◽  
Manbok Park


2016 ◽  
Author(s):  
Ahmed Abuelyamen ◽  
Mohand H. Mohamed

This work investigates the installation of a 10 MW solar PV power plant in a sustainable city in Sudan. Initially, the climatic data such as relative humidity, temperature and horizontal solar radiation over 30 cities in Sudan were collected from NASA web page, then the behavior of all climatic data was analyzed. Annual daily solar radiation on a tilted surface was also calculated over the 30 locations around the country. It was found that the maximum value of tilted average solar radiation is 6.61 KWh/day at Dungola from fixed mode and 8.93 kWh/m2/day from tracking mode. Consequently, the location was selected as an optimum spot for building the solar PV power plant. Additionally, the available solar PV panels on the market were judged according to the maximum module efficiency and high ratio value of module capacity to frame area. The project lifetime is considered as 25 years. RETScreen v.4 software was used to simulate the feasibility analysis of the project based on electric power generated from fixed and tracking modes of operation, financial analysis and greenhouse gas emissions. The study showed that, technically, the proposed plant can generate up to 16.209 GWh of electric energy annually from the fixed system and 21.828 GWh from the tracking system. Environmentally, the annual net GHG reduction is 16,000 and 21,600 tons of CO2 from fixed and tracking systems respectively. From a financial standpoint, the cost-effective indicators were calculated and it was found that the IRR and payback period for the fixed system plant were 0.6% and 23.6 years, respectively. While for tracking system plant, figures were 2.66% and 19.4 years, respectively.



2018 ◽  
Vol 227 (2) ◽  
pp. 307-316
Author(s):  
Lect. Intisar Sukkar Khioun

     The relationship between man and climate is of great importance in climate studies, as climate is the most natural climatic element in the sense of comfort or distress of man, and humans can live comfortably if the degree of heat between (17-31 m) and the human feeling of heat and cold and then rest or discomfort not only caused by the air temperature but depends on many elements including solar radiation, air movement, relative humidity, the level of human activity and the type of clothing worn, and the presumption has used Biophysiological temperature and Cooling guide in this study to demonstrate the impact of climate on human comfort in the city of Rutba and relying on the climatic data for thirty years.



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