Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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- All Subjects: Photovoltaic
- Creators: Phelan, Patrick
Description
Many expect renewable energy technologies to play a leading role in a sustainable energy supply system and to aid the shift away from an over-reliance on traditional hydrocarbon resources in the next few decades. This dissertation develops environmental, policy and social models to help understand various aspects of photovoltaic (PV) technologies. The first part of this dissertation advances the life cycle assessment (LCA) of PV systems by expanding the boundary of included processes using hybrid LCA and accounting for the technology-driven dynamics of environmental impacts. Hybrid LCA extends the traditional method combining bottom-up process-sum and top-down economic input-output (EIO) approaches. The embodied energy and carbon of multi-crystalline silicon photovoltaic systems are assessed using hybrid LCA. From 2001 to 2010, the embodied energy and carbon fell substantially, indicating that technological progress is realizing reductions in environmental impacts in addition to lower module price. A variety of policies support renewable energy adoption, and it is critical to make them function cooperatively. To reveal the interrelationships among these policies, the second part of this dissertation proposes three tiers of policy architecture. This study develops a model to determine the specific subsidies required to support a Renewable Portfolio Standard (RPS) goal. The financial requirements are calculated (in two scenarios) and compared with predictable funds from public sources. A main result is that the expected investments to achieve the RPS goal far exceed the economic allocation for subsidy of distributed PV. Even with subsidies there are often challenges with social acceptance. The third part of this dissertation originally develops a fuzzy logic inference model to relate consumers' attitudes about the technology such as perceived cost, maintenance, and environmental concern to their adoption intention. Fuzzy logic inference model is a type of soft computing models. It has the advantage of dealing with imprecise and insufficient information and mimicking reasoning processes of human brains. This model is implemented in a case study of residential PV adoption using data through a survey of homeowners in Arizona. The output of this model is the purchasing probability of PV.
ContributorsZhai, Pei (Author) / Williams, Eric D. (Thesis advisor) / Allenby, Braden (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2010
Description
Ensuring that people across the globe have enough water and electricity are two large issues that continue to grow. This study performs a test on whether using solar photovoltaic modules to shade water can potentially help diminish the issues of water and power. Using the setup of a PV module shading water, a stand-alone PV module, and unshaded water, it was found that shading water can reduce evaporation and lower PV module operating temperature at the same time. Using averaged data from two days of testing, the volume per unit surface area of water that evaporated per hour was 0.319 cm3/cm2 less for the shaded water compared to the unshaded water. The evaporation rates found in the experiment are compared to those of Lake Mead to see the amount of water lost on a large scale. For the operating temperature of the PV module, the module used for shading had a consistently lower temperature than the stand-alone module. On the first day, the shading module had an average temperature 5.1 C lower than the stand-alone module average temperature. On day two, the shading module had an average temperature 3.4 C lower than the stand-alone module average temperature. Using average temperatures between the two days from 10:30am and 4:45pm, the average daily temperature of the panel used for shading was 4.5C less than the temperature of the stand-alone panel. These results prove water shading by solar PV modules to be effective in reducing evaporation and lowering module operating temperature. Last, suggestions for future studies are discussed, such as performance analysis of the PV modules in this setting, economic analysis of using PV modules as shading, and the isolation of the different factors of evaporation (temperature, wind speed, and humidity).
ContributorsLee, John C (Author) / Phelan, Patrick (Thesis director) / Roedel, Ronald (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Mechanical and Aerospace Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05