Life Cycle Assessment (LCA) results are typically presented using default visualization and communication approaches without acknowledging: the goals of the end-user, the end-user’s level of knowledge in LCA, the qualitative explanation supporting the visual, and the uncertainty in the process. The motivating hypothesis of this research is that the way practitioners communicate and visualize LCA results poses a risk to the interpretations of the end-users, especially when the goal of the study is not of focus when designing the visuals. Different LCA goals, whether it is for comparisons, hotspot identifications, or environmental declarations, require different visualization designs. To test this, studies were conducted with a variety of participants by giving them several visual representations of LCA results and asking them to share their interpretations of them. The participants’ interpretations of each visual were compared to the opinions of a panel of LCA experts and to the author’s intended use of it. This research gives insight on where misalignments or enhancements in the interpretation of results can occur based on the visual representations used in a certain goal category and the other factors previously mentioned. The results also provided three more key findings: 1) The majority of visuals that accurately presented and communicated the results were in the same goal category that the authors intended the visuals to be used for, suggesting that visuals are more effective when designed with the goal of the study in mind. 2) Several visuals suggested misconceptions in the presentation of results which included a misconception of the participants, a misconception of the authors, or a misconception between all groups. 3) None of the visuals in the environmental declarations category received a consensus from the panel of experts that they were well-suited for that purpose which suggests a significant research gap in accurately visualizing results for these purposes. These results aided the development of guidance documents to suggest both what to consider and what to avoid based on the goal of the study. The findings from this study can assist in bridging the gap in communication between the practitioner and the end-user.

ABSTRACT

Historically, Life Cycle Assessments (LCA) guided companies to make better decisions to improve the environmental impacts of their products. However, as new Circular Economy (CE) tools emerge, the usefulness of LCA in assessing linear products grow more and more obsolete. Research Question: How do LCA-based tools account for reuse/multiple life cycles of products verses CE-based tools?

The Kaiteki Innovation Framework (KIF) was used to address the question of circularity of two packaging materials using an Environmental LCA to populate its 12 CE dimensions. Any gaps were evaluated with 2 LCA- based and 2 CE-based tools to see which could address the leftover CE dimensions.

Results showed that to complete the KIF template, LCA data required one of the LCA-based tools: Social Life Cycle Assessment (SLCA) and both CE-based tools: Circular Transition Indicators (CTI) and Material Circularity Indicator (MCI) to supplement gaps in the KIF. The LCA addressed 5 of the KIF dimensions: Innovation Category Name, Description, GHG Impact, Other Environmental Impacts, and Value Chain Position. 3 analytical tools addressed 5 more:: Effect on Circularity, Social Impacts, Enabling Technologies, Tier 2 and 3 Requirements, and Value Chain Synergies. None of the tools could address the KIF Dimensions: State of Development or Scale Requirements. All in all, the KIF required both LCA-based and CE-based tools to cover social and socio-economic impacts from a cradle-to-cradle perspective with multiple circular loops in mind. These results can help in the research and development of innovative, circular products that can lead to a more environmentally preferred future.

In developed countries, municipalities deliver drinking water to constituents through water distribution systems. These transport water from a treatment plant to homes, restaurants, and any other site of end use. Proper water distribution system infrastructure functionality is a critical concern to city planners and managers because component failures within these systems restrict or prevent the ability to deliver water. The reduced capacity to deliver water forces the health and well being of all citizens into jeopardy. The breakdown of a component can even spark the failure of several more components, causing a sequence of cascading failures with catastrophic consequences. To make matters worse, some forms of component failures are unpredictable and it is impossible to foresee every possible failure that could occur. In order to prevent cataclysmic losses that are experienced during system failures, the development of resilient water distribution infrastructure is vital. A resilient water distribution system possesses an adaptive capacity to mitigate the loss of service resulting from component failures. Traditionally, infrastructure resilience research has been retrospective in nature, analyzing the infrastructure system after it suffered a failure event. However, this research project takes water distribution resilience research in a new direction. The research identifies the Sensing Anticipating, Adaptation, and Learning processes that are inherent in the current operations of each component in the water distribution system (pumps, pipes, valves, tanks, nodes). Additional SAAL processes have been recommended for the components that lack adaptive management in current practice. This workis unique in that it applies resilience theory to water distribution systems in an anticipatory manner. This anticipatory application of resilience will provide operators with actionable process for them to implement during failure situations. In this setting, resilience is applied to existing systems for noticeable improvements in operation during failure situations.

The culture of the 1970s in the United States of America was progressive and revolutionary. Due to various events that were unfavorable to the public, U.S. citizens began to lose trust in their government. Signs of the public's revolt and dissention began to show in laws and propositions voters passed. In California, Proposition 13 was one of many anti-tax laws taxpayers voted for to cut back the control of the government. As a result, revenues for public services and improvements decreased and maintenance allocations for infrastructure systems were considerably reduced. Fast-forwarding to today, infrastructure systems in the U.S. are reaching their retirement period and are requiring extreme maintenance and attention. Los Angeles has been experiencing severe water main breaks in its water distribution system for several years now, but the city is lacking funds to replace the aging pipes. The lack of funds paired with aging infrastructure indicates there is a flaw in the forecasting analysis techniques used today to project infrastructure costs. Therefore, an alternative discounting function to the exponential is proposed: the hyperbolic discounting function. A comparative analysis was performed using a hyperbolic and an exponential discounting function. The two functions were calibrated over the course of 50 years and the parameters r and a were determined. Then the discounts were applied to a 50-year expenditure projection for pipe replacements of a water distribution system. The present value was computed with each discount function and results were obtained. By year 50, the hyperbolic function yielded a higher present value of $25.06 million and the exponential function yielded a present value of $14 million. These results lead to the conclusion that the hyperbolic discounting function is the preferred methodology when calculating long-term expenditures, especially those dependent on tax revenue.

The problem is that children in developing countries are doing our dirty work. Electronic waste that end up in landfills in these developing countries pose a danger to the children extracting metals that are then resold in local markets. The dumping of solar panels in these landfills is sometimes the only alternative for some manufactures because there is no viable option for silicon wafers. Solar panel installations started to peak in the early 1990's . With the lifespan of a solar panel being 25 years, recycling these panel is not a priority task in government policies. First Solar is currently the only company in the United States that executes the full recycling process. However, there is an environmental hotspot and an energy intensity phase identified in their process. The second stage in First Solar's recycling method consist of hammering and shredding the solar panel to reduce the surface area to then move on the chemical path stage. This stage currently uses 1.1 kWh for a meter by meter solar cell. A thermal processing method was explored and found to be the most environmentally conscious chose in terms of emissions and energy cost. The thermal method uses a conventional furnace to burn away the EVA, leaving the internal components of the cell intact and ready for the remaining process of recycling. SLICE method aims to introduce an industry tailored, low energy cost process, that initiates a solar panel recycling infrastructure in the United States. The recycling infrastructure is needed to sustain the exponential growth of solar panels and avoid third party recycling to developing countries. This new method transitions from lab tested batch processes to a continuous process.

The main objective of this project was to continue research and development of a building integrated solar thermoelectric generator (BISTEG). BISTEG is a promising renewable energy technology that is capable of generating electrical energy from the heat of concentrated sunlight. In order to perform R&D, the performance of different TEG cells and TEG setups were tested and analyzed, proof-of-concepts and prototypes were built. and the performance of the proof-of-concepts and prototypes were tested and analyzed as well. In order to test different TEG cells and TEG setups, a TEG testing apparatus was designed and fabricated. The apparatus is capable of comparing the performance of TEGs with temperature differentials up to 200 degrees C. Along with a TEG testing apparatus, several proof-of-concepts and prototypes were completed. All of these were tested in order to determine the feasibility of the design. All three proof-of-concepts were only capable of producing a voltage output less than 300mV. The prototype, however, was capable of producing a max output voltage of 17 volts. Although the prototype outperformed all of the proof-of-concepts, optimizations to the design can continue to improve the output voltage. In order to do so, stacked TEG tests were performed. After performing the stacked TEG tests, it was determined that the use of stacked TEGs depended on the Fresnel lens chosen. If BISTEG were to use a point focused Fresnel lens, using a stack of TEGs could increase the power density. If BISTEG were to utilize a linear focused Fresnel lens, however, the TEGs should not be stacked. It would be more efficient to lay them out side by side. They can be stacked, however, if the energy density needs to be increased and the costs of the additional TEGs are not an issue.

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.

Team dynamics: a system of behaviors and psychological processes occurring within a social group (wiki). This definition classifies it as pertaining to a social group, so how do team dynamics vary from one specific social group to another? Social groups are created for many different reasons, some inherent (such as families) and some created intentionally with knowledge of what is being done (such as athletic teams, class project groups, and groups in the workforce). The way these groups interact and work as a team shapes how efficient they can work and how well they are able to achieve set goals. Therefore, in order to predict how well a particular group or team might perform in a routine project, it is useful to analyze the way they work together on a regular basis. Certain aspects of different groups, such as gender, age, level of competition, and type of activity, cause them to work together in different manners. Do any of these factors cause a particular group to work better as a team? Or do they just cause them to work differently?

While public transit systems are perceived to produce lower GHG emission intensities per passenger miles traveled (PMT) and per vehicle miles traveled (VMT), there is a limited understanding of emissions per PMT/VMT across cities, or of how emissions may change across modes (light, metro, commuter, and bus) and time (e.g., with changing electricity mixes in the future). In order to better understand the GHG emissions intensity of public transit systems, a comparative emissions assessment was developed utilizing the National Transit Database (NTD) which reports energy use from 1997 to 2012 of rail and bus systems across the US. By determining the GHG emission intensities (per VMT or per PMT) for each mode of transit across multiple years, the modes of transit can be better compared between one another. This comparison can help inform future goals to reduce GHG emissions as well as target reductions from the mode of transit that has the highest emissions. The proposed analysis of the NTD and comparison of modal emission intensities will be used to develop future forecasting that can guide public transit systems towards a sustainable future.