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University of Gezira (2019)

An Approach to Estimate the Productivity of Wind and Solar Energy in Sudan

ALM ALHUDA, MOAHMMED BABIKER MOHAMMED AHMED

Titre : An Approach to Estimate the Productivity of Wind and Solar Energy in Sudan

Auteur : ALM ALHUDA, MOAHMMED BABIKER MOHAMMED AHMED

Université de soutenance : University of Gezira

Grade : Master of Science (MS) in Computer Engineering and Networks 2019

Résumé
Solar energy and wind energy resources become the most important types of available renewable energy resources. Sudan use large amounts of energy about 3000MW in a month ; most of these energies are produced from water sources. Sudan has more renewable energy resources such as solar energy and wind energy. The productivity of these types of energy depends on many factors such as temperature, relative humidity, atmospheric pressure, solar radiation and wind speed. The study aims to provide a data collecting system for these factors as well as predicting the expected energy production for solar and wind energy in Sudan. The methodology of this study consists of two parts : data collection system design and productivity calculation system. For the data collection system, many sensors were used to capture the values of relative factors. It consists of five sensors for radiation, wind speed, temperature, relative humidity and atmospheric pressure. The system was designed using simulation program (Proteus 8) to design a circuit and Arduino C to write the program code. For productivity calculation system, several equations were applied to calculate energy productivity for solar and wind energy. The values captured by sensors were recorded as input for the equations to generate the energy expected as output. The system has a liquid crystal display screen (LCD) to display the captured values of sensors and the expected productivity. As a result, the data collection system was designed and implemented to find the expected productivity for solar and wind in real time. In addition, the productivity calculation system was implemented to find the expected productivity for selected towns in Sudan using recorded data for 2014 (Wad-Medani, Kassala, Kosti and Abu-Nuaama) as examples. The maximum energy that produced by wind turbine it recorded in Abu-Nuaama is 927 KW in June, while the minimum energy recorded in Kassala was 10KW in April. On the other hand, the maximum energy that produced by solar cell recorded in Kassala and Wad-medani was 56KW/day in July and September respectively, but the minimum energy recorded in Abu-Nuaama, Kassala and Kosti was 21KW/day in July, April and August respectively. The obtained results show that the proposed system has the ability to estimate the amount of energy produced with high accuracy. The system could be applied to estimate energy everywhere in real-time. The availability of these factors in Sudan provides a great motivation for energy production from these resources. The study recommends adding database to store the system’s output, supported by transmission media to transmit the data to the database.

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