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    Temperature, Evaporation, and Shading Effects on Algae in Experimental Paddlewheel Raceways

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    Author
    Khawam, George
    Issue Date
    2019
    Keywords
    Algae
    Algae growth modeling
    Biofuel
    Biomass
    Open ponds
    Shading
    Advisor
    Waller, Peter
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Algal biodiesel commercial production is facing numerous challenges that could be summarized with one word “cost”. Researchers around the world are conducting experiments to optimize the cultivation of algae in order to shift the production of algae toward larger scale. The Regional Algal Feedstock Testbed (RAFT) project carried out experiments over a four-year period to record and optimize algae cultivation. During this period, as one of the objectives of this project, numerous models were developed to estimate algae productivity. This dissertation explains in detail the energy balance model used to estimate the culture water temperature based on meteorological data and how the parameters of this model were calibrated. It also provides a methodology that calculates solar shading for a given geometry and incorporates the reduction of light due to shading into the Huesemann Algae Biomass Growth (HABG) model, which is the algal productivity model developed and validated by the RAFT project. Three different hypotheses were suggested to describe how light is distributed between shaded and unshaded areas in the culture. Forty-five test runs were conducted by the RAFT project at the University of Arizona location. The experimental data collected in those experiments were used to calibrate and validate both temperature and shading models.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Biosystems Engineering
    Degree Grantor
    University of Arizona
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