Browsing by Author "Mengesha Abreha"

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    Parabolic Trough Solar Collector Design, Modeling and Simulation for the Application of Industrial Parks: A Case Study of Bole Lemi Industrial Park
    (Addis Ababa University, 2022-07) Mengesha Abreha; Tilahun Nigussie (PhD)
    Despite the need for additional research to bring concentrator solar plants up to a competitive economic level, molten salt integrated parabolic trough solar collector plants produce essentially lower levels of carbon dioxide than conventional power systems. Priority study areas in the thermal engineering applications for the textile industry include the optimal design, mathematical modeling, performance simulation, and cost investigation of parabolic trough solar power plants. This thesis is concentrated on the dynamic modeling of 50 MWe parabolic solar trough collector up-scaled versions for power supplies in Bole Lemi Industrial Park. Prior evaluations was carried out to choose the finest collector and receiver geometry, heat transfer fluid ,solar field design points and energy storage systems based on diverse determination criteria. In addition to satellite driven solar resource data collected from NASA, direct normal irradiance (DNI) on daily and monthly basis were measured using Payranometer.The solar field components then coordinated into power generating module and the systems performance was simulated to create genuine working environment. The input parameters such as declination angle, azimuth angle, hour angle and equation of time were analyzed using empirical equations. Assessment of daily global solar radiation and sun shine duration at the case study area was conducted using Meteonorm8 .Taking all the collected primary and secondary data, comprehensive numerical simulation of parabolic trough solar power plant employing System Advisor Model (SAM) was developed. The average monthly DNI as function of thermal power produced on the field, monthly energy generation, thermal cycle efficiency and levelized cost of energy with solar multiple were plotted in order to investigate their correlation pattern. The simulated time series yield showed that maximum annual power cycle efficiency of the system to be 25.5% and the maximum average thermal power output occurred in the months of January through April and November through December. The findings were further cross checked with similar previous scientific works using common parameters and fair agreement has been achieved, illustrating the proposed technology is applicable for any industrial application.