Thesis defense invitation
Title of the master’s dissertation:
An Algorithm for Improving the Efficiency of Solar Harvesting-Based WSN, Based on Climate Conditions
Prof. Dr. Hamed Rajabi Ghomi
Faculty of Technical Engineering,
Prof. Dr. Hamidreza Koohi
Faculty of Technical Engineering,
Abstract of the Master’s research
Abstract: The purpose of this study is to predict the amount of solar radiation by solar-powered systems in areas without solar radiation history. The main source of energy for WSN nodes is the use of solar energy. To this end, a solar power system is required. PV panels can be said that form the main part of such a system. Given that the amount of sunlight is changing day by day, during the course of the month and year, the wireless sensor node must be able to accurately predict the amount of absorbed light during the day to optimize its operations, accordingly. Solar radiation behavior is mainly linear and its prediction is easy somehow, but when it comes to climatic conditions of the margins of the Caspian Sea (North of Iran, including Guilan and Mazandaran provinces), the prediction becomes too complicated by the fact that solar radiation behavior turns to non-linear approach most of the days (for cloudiness, moisture, rains…).
This paper tries to model the old, simple yet valid EWMA algorithm, which is a very practical way to implement temporary wireless sensor network scenarios, especially in places without the history of GHI and DNI meteorological parameters. The proposed method which is named in this paper as “Caspian Sea Algorithm”, is also very useful for the northern parts of Iran, which is often accompanied by rapid changes in the parameters of the climate during the day (including relative humidity, cloud cover, etc.). Particularly, even the adjacent points are also often different in terms of rainfall, precipitation intensity, cloud dispersion and relative humidity, and the weather stations in the area do not cover solar radiation parameters in their daily measurements and forecasts.
Research method: An applied project, based on scientific studies and comparisons; In addition to the usual methods of studying numerous journals and books related to photovoltaic topics and solar radiation prediction algorithms, MATLAB software simulation, researcher has visited regional meteorological offices in the case study (Guilan and Mazandaran provinces) in order to provide a more effective and efficient method, using experiences and concerns of the experts.
Findings: Inspired by the EWMA prediction algorithm, this study will provide a way for solar irradiance prediction so that no longer needs to have a history of meteorological parameters such as GHI and DNI. This technic is particularly effective for locations that are far from meteorological stations or cloud cover and relative humidity of the air is different from adjacent meteorological station.
Conclusion: The results of this research indicate that despite the essential need of all current algorithms to historical or online meteorological data for the prediction of the amount of solar radiation energy, the innovative “Caspian Sea Algorithm”, can do this job with a fairly high accuracy without these data. Of course, some data from a neighbor city or province is being used to start the job.
Keywords: Solar Energy, EWMA, WCMA, WSN, Solar Powered WSN, Solar Forecasting, Solar Energy Forecast, Photovoltaics, Power Management, Energy Harvesting, Prediction Algorithms, Photovoltaic Systems, Wireless Sensor Networks, TMY, GHI, DNI, Irradiance, Maximum Power Point, Solar Powered WSN, NWP