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Performance Evaluation of the Semi-empirical Solar Estimation Model based on Satellite Data enhanced with Ground Measurement
Энэхүү судалгааны ажлаар оюутны танин мэдэх үйл явцыг тодорхойлох зорилгоор инженерчлэлийн чиглэлээр суралцаж буй 19 оюутныг санал асуулгад хамруулсан. Ингэхдээ 80 асуулт бүхий темпераментийг тодорхойлох асуулга, мэргэжлийн хичээлийн агуулга бүхий 20 асуулттай оюутны мэдээлэл боловсруулах хурдыг тодорхойлох ‘Kahoot’ тест болон 5 асуулт бүхий сургалтад ‘Kahoot’ тоглоомыг ашигласан сэтгэл ханамжийн судалгааг явуулсан. Судалгааны үр дүнгээр оюутны мэдээлэл боловсруулах хурд нь темпераменттэй хамааралтай буюу экстраверт оюутнуудын хариу үйлдэл үзүүлэх хурд нь интроверт төрлийн оюутнуудаас өндөр гэж гарсан. Мөн, мэдээлэл боловсруулах хурдыг тэмдэглэхэд ашигласан өрсөлдөөнт, асуулт хариултын ‘Kahoot’ тоглоомыг сургалтын үйл ажиллагаанд ашиглах нь эерэг үр дүнтэй гэж гарсан.
We aim to estimate solar resource of Mongolia using satellite data in combination with limited ground measurements. Visible channel images provided by Japanese Geostationary Meteorological Satellite (GMS) Himawari 8 are correlated with ground-based measurements of solar irradiation to derive parameters of the semi-physical model.
We aim to estimate solar resource of Mongolia using satellite data in combination with limited ground measurements. Visible channel images provided by Japanese Geostationary Meteorological Satellite (GMS) Himawari 8 are correlated with ground-based measurements of solar irradiation to derive parameters of the semi-physical model.
In this paper, we estimated diffuse fraction of global horizontal irradiation by implementing Erb’s model which computes diffuse fraction empirically from clearness index. At 4 locations across Mongolia, hourly, daily and monthly diffuse horizontal irradiation (DHI) values are estimated for year-long period and compared with the corresponding ground truth measurements. The results are demonstrated by different statistical parameters where normalized mean bias error (nMBE) and normalized root mean square error (nRMSE) were 2-20 and 10-33 percent, respectively. At all locations, the model underestimates diffuse irradiance which leads to negative bias and the correlation coefficients were greater than 0.87.
Many countries started to use renewable energy resource as an alternative energy source for electricity production because of environmental issues such as global warming and greenhouse gas concentration as a result of burning fossil fuels. Out of 5 main renewable energy resources, solar energy utilization is constantly increasing because of its mature technology and equally distributed resource throughout the world. Therefore, solar energy is used in many fields and in this study, photovoltaic system performance for meat freezer in rural areas of Mongolia is investigated. The main facilities are movable freezing container, grid connected 3kW photovoltaic modules, inverter, diesel generator and data logger to measure the parameters of this system. Starting from November 2015, we collected a year round site measurement which includes solar irradiation, outside and inside temperature of the container, electricity production and consumption. We use HOMER software to calculate the energy production by photovoltaic system and energy consumption of freezer system. Then, we compared this calculation with the real value and calculated the solar energy share of total electricity consumption. Also, we modeled an E-nose to monitor the freshness of meat preserved in the freezer. The result suggests that it is suitable to use photovoltaic system for meat storage in rural areas where grid electricity interrupts often.
