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- Creators: Marine Biological Laboratory Archives
Description
Life cycle assessment (LCA) is a powerful framework for environmental decision making because the broad boundaries called for prevent shifting of burden from one life-cycle phase to another. Numerous experts and policy setting organizations call for the application of LCA to developing nanotechnologies. Early application of LCA to nanotechnology may identify environmentally problematic processes and supply chain components before large investments contribute to technology lock in, and thereby promote integration of environmental concerns into technology development and scale-up (enviro-technical integration). However, application of LCA to nanotechnology is problematic due to limitations in LCA methods (e.g., reliance on data from existing industries at scale, ambiguity regarding proper boundary selection), and because social drivers of technology development and environmental preservation are not identified in LCA. This thesis proposes two methodological advances that augment current capabilities of LCA by incorporating knowledge from technical and social domains. Specifically, this thesis advances the capacity for LCA to yield enviro-technical integration through inclusion of scenario development, thermodynamic modeling, and use-phase performance bounding to overcome the paucity of data describing emerging nanotechnologies. With regard to socio-technical integration, this thesis demonstrates that social values are implicit in LCA, and explores the extent to which these values impact LCA practice and results. There are numerous paths of entry through which social values are contained in LCA, for example functional unit selection, impact category selection, and system boundary definition - decisions which embody particular values and determine LCA results. Explicit identification of how social values are embedded in LCA promotes integration of social and environmental concerns into technology development (socio-enviro-technical integration), and may contribute to the development of socially-responsive and environmentally preferable nanotechnologies. In this way, tailoring LCA to promote socio-enviro-technical integration is a tangible and meaningful step towards responsible innovation processes.
ContributorsWender, Ben A. (Author) / Seager, Thomas P (Thesis advisor) / Crozier, Peter (Committee member) / Fraser, Matthew (Committee member) / Guston, David (Committee member) / Arizona State University (Publisher)
Created2013
Description
Wind measurements are fundamental inputs for the evaluation of potential energy yield and performance of wind farms. Three-dimensional scanning coherent Doppler lidar (CDL) may provide a new basis for wind farm site selection, design, and control. In this research, CDL measurements obtained from multiple wind energy developments are analyzed and a novel wind farm control approach has been modeled. The possibility of using lidar measurements to more fully characterize the wind field is discussed, specifically, terrain effects, spatial variation of winds, power density, and the effect of shear at different layers within the rotor swept area. Various vector retrieval methods have been applied to the lidar data, and results are presented on an elevated terrain-following surface at hub height. The vector retrieval estimates are compared with tower measurements, after interpolation to the appropriate level. CDL data is used to estimate the spatial power density at hub height. Since CDL can measure winds at different vertical levels, an approach for estimating wind power density over the wind turbine rotor-swept area is explored. Sample optimized layouts of wind farm using lidar data and global optimization algorithms, accounting for wake interaction effects, have been explored. An approach to evaluate spatial wind speed and direction estimates from a standard nested Coupled Ocean and Atmosphere Mesoscale Prediction System (COAMPS) model and CDL is presented. The magnitude of spatial difference between observations and simulation for wind energy assessment is researched. Diurnal effects and ramp events as estimated by CDL and COAMPS were inter-compared. Novel wind farm control based on incoming winds and direction input from CDL's is developed. Both yaw and pitch control using scanning CDL for efficient wind farm control is analyzed. The wind farm control optimizes power production and reduces loads on wind turbines for various lidar wind speed and direction inputs, accounting for wind farm wake losses and wind speed evolution. Several wind farm control configurations were developed, for enhanced integrability into the electrical grid. Finally, the value proposition of CDL for a wind farm development, based on uncertainty reduction and return of investment is analyzed.
ContributorsKrishnamurthy, Raghavendra (Author) / Calhoun, Ronald J (Thesis advisor) / Chen, Kangping (Committee member) / Huang, Huei-Ping (Committee member) / Fraser, Matthew (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2013
Description
Life cycle assessment (LCA) is increasingly identified as the proper tool/framework for performing cradle to grave analysis of a product, technology, or supply chain. LCA proceeds by comparing the materials and energy needed for materials extraction, benefaction, and end-of-life management, in addition to the actual lifetime of the product. This type of analysis is commonly used to evaluate forms of renewable energy to ensure that we don't harm the environment in the name of saving it. For instance, LCA for photovoltaic (PV) technologies can be used to evaluate the environmental impacts. CdTe thin film solar cells rely on cadmium and tellurium metals which are produced as by-products in the refining of zinc and copper ore, respectively. In order to understand the environmental burdens of tellurium, it is useful to explore the extraction and refining process of copper. Copper can be refined using either a hydrometallurgical or pyrometallurgical process. I conducted a comparison of these two methods to determine the environmental impacts, the chemical reactions which take place, the energy requirements, and the extraction costs of each. I then looked into the extraction of tellurium from anode slime produced in the pyrometallurgical process and determined the energy requirements. I connected this to the production of CdTe and the power produced from a CdTe module, and analyzed the production cost of CdTe modules under increasing tellurium prices. It was concluded that tellurium production will be limited by increasing hydrometallurgical extraction of copper. Additionally, tellurium scarcity will not provide a physical constraint to CdTe commercial expansion; however it could affect the price reduction goals.
ContributorsMacIsaac, Kirsten Breanne (Author) / Seager, Thomas (Thesis director) / Fraser, Matthew (Committee member) / Wender, Ben (Committee member) / Barrett, The Honors College (Contributor) / Chemical Engineering Program (Contributor)
Created2013-05
Description
Shifting to renewable energy from fossil fuels is not occurring rapidly. Determining where to locate renewable power plants could help expedite development. The project discussed here uses a GIS ranking tool to determine potential locations for solar and wind power plants in Arizona. Criteria include renewable input (irradiance/wind class), topographic slope, and distance from transmission lines. These are ranked and summed to determine areas with the most potential. The resulting outputs show that there is much more potential land for solar development than wind development. Further analysis in this paper will focus solely on solar due to wind's lower potential. Land sensitivity and ownership are used to assess the feasibility of development. There are many groupings of highly ranked land across the state, but the largest stretch of land runs from outside of Marana (south-central Arizona) northwest to about 60 miles west of Wickenburg (central-west). This regions is mainly on BLM, state, and privately owned land. Some of this land is considered sensitive, but non-sensitive areas with high potential are frequent throughout. Renewable potential in other states could be determined using this tool as well. Variables could be weighted or added depending on each area's need.
ContributorsZeck, Kevin Michael (Author) / Fraser, Matthew (Thesis director) / Pasqualetti, Martin (Committee member) / Cowger, Lane (Committee member) / Barrett, The Honors College (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / School of Sustainability (Contributor)
Created2013-05
Description
-Please adjust the format of the abstract. m-3 should be typed as "m to the minus 3" with the "minus 3" in superscript
-see the additional "abstract.pdf" document for formatting
In arid environments like Phoenix, many professional and residential outdoor spaces are cooled by the use of misting systems. These systems spray a fine mist of water droplets that cool down the surrounding air through the endothermic evaporation process. When the water droplets evaporate, they leave behind dissolved material that is present in the water, generating ambient particulate matter (PM). Thus, misting systems are a point source of PM. Currently there is no information on their impact on air quality in close proximity to these systems, or on the chemical composition of the particulate matter generated by the evaporating mist.
In this project, PM concentrations are found to increase on average by a factor of 8 from ambient levels in the vicinity of a residential misting system in controlled experiments. PM concentrations in public places that use misting systems are also investigated. The PM10 concentrations in public places ranged from 0.102 ± 0.010 mg m-3 to 1.47 ± 0.15 mg m-3, and PM2.5 ranged from 0.095 ± 0.010 mg m-3 to 0.99 ± 0.10 mg m-3. Air quality index (AQI) values based on these concentrations indicate that these levels of PM range from unhealthy to hazardous in most cases. PM concentrations tend to decrease after remaining relatively constant with increasing distance from misting systems. Chemical data reveal that chloride and magnesium ions may be used as tracers of aerosolized water from misting systems. The average chloride concentration was 71 µg m-3 in misting samples and below the detection limit for Cl- (< 8.2 µg m-3) in ambient samples. The average magnesium concentration was 11.7 µg m-3 in misting samples and 0.23 µg m-3 in ambient samples.
-see the additional "abstract.pdf" document for formatting
In arid environments like Phoenix, many professional and residential outdoor spaces are cooled by the use of misting systems. These systems spray a fine mist of water droplets that cool down the surrounding air through the endothermic evaporation process. When the water droplets evaporate, they leave behind dissolved material that is present in the water, generating ambient particulate matter (PM). Thus, misting systems are a point source of PM. Currently there is no information on their impact on air quality in close proximity to these systems, or on the chemical composition of the particulate matter generated by the evaporating mist.
In this project, PM concentrations are found to increase on average by a factor of 8 from ambient levels in the vicinity of a residential misting system in controlled experiments. PM concentrations in public places that use misting systems are also investigated. The PM10 concentrations in public places ranged from 0.102 ± 0.010 mg m-3 to 1.47 ± 0.15 mg m-3, and PM2.5 ranged from 0.095 ± 0.010 mg m-3 to 0.99 ± 0.10 mg m-3. Air quality index (AQI) values based on these concentrations indicate that these levels of PM range from unhealthy to hazardous in most cases. PM concentrations tend to decrease after remaining relatively constant with increasing distance from misting systems. Chemical data reveal that chloride and magnesium ions may be used as tracers of aerosolized water from misting systems. The average chloride concentration was 71 µg m-3 in misting samples and below the detection limit for Cl- (< 8.2 µg m-3) in ambient samples. The average magnesium concentration was 11.7 µg m-3 in misting samples and 0.23 µg m-3 in ambient samples.
ContributorsKnight, William Louis (Co-author) / Knight, William (Co-author) / Herckes, Pierre (Thesis director) / Fraser, Matthew (Committee member) / Hamilton, Kerry (Committee member) / School of Sustainability (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This paper introduces an excel tool created to improve the accuracy of electrical subcontracting prices for solar photovoltaic energy systems while also minimizing the time needed to create these price estimations. The need for improved precision, specifically during the early stages of a project, is examined and the paper also goes into detail about the components and pricing method that are incorporated into the excel tool. Lastly, the results of the price estimation tool are compared to real bids and recommendations are made for improvement to the tool.
ContributorsJohnson, Eric Allen (Author) / Fraser, Matthew (Thesis director) / Hjelmstad, Keith (Committee member) / Hughes, Jeff (Committee member) / Civil, Environmental and Sustainable Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
ContributorsMarine Biological Laboratory Archives (Publisher) / Arizona Board of Regents (Publisher)
Created1935
ContributorsHuettner, Alfred F. (Alfred Francis), b. 1884 (Creator) / Marine Biological Laboratory Archives (Publisher)
Created1918
ContributorsMarine Biological Laboratory Archives (Publisher)
ContributorsHuettner, Alfred F. (Alfred Francis), b. 1884 (Creator) / Marine Biological Laboratory Archives (Publisher)
Created1928