Thesis (M.S.) in Resource Economics and Policy--University of Maine, 2008. / Includes vita. Includes bibliographical references (leaves 82-85).

Thesis (PhD)-Open University. BLDSC no.DX172040.

Energy plays a vital role in socio-economic development and raising living standards of human beings. The overreliance on fossil fuels results in the depletion of fossil fuels as well as environmental pollution from the green-house gases that result from the use of fossil fuels. Biomass feedstock are able to ameliorate this situation by utilizing the CO2 that has been used by plants during photosynthesis. This study investigated the suitability of the three garden grass species (Chloris gayana, Cynodon dactylon and Pennisetum clandestum) as biomass feedstock for gasification purposes. The three garden grass species were collected at the Alice Campus of the University of Fort Hare. These grass species were characterized using elemental analyser (CHNS), FT-IR, EDX and TGA. The Activation energy (Ea) of the three grass species were 48.22 kJ/mol for P. clandestum, 36.8 kJ/mol for C. gayana and 258 kJ/mol for C. dactylon. Of the three grass species, C. gayana had the lowest Activation energy of 36.8 kJ/mol and also had the highest maximum efficiency of 69 percent compared to 65.3 percent for P. clandestum and 63.5 percent for C. dactylon. Actual gasification was not carried out but the results on maximum efficiency were obtained from computer simulation of gasification.

Global concerns of climate change, increased greenhouse gas emissions and security of energy supply have accelerated the search for alternative energy sources both indeveloped and developing countries. Developing countries are now embracingutilization of biogas as a renewable energy option to meet some of their cooking andlighting needs. In Uganda, despite the introduction of biogas in the 1950’s, thetechnology has not received considerable acceptance and as a result its penetrationhas remained relatively low.  Several installed biogas plants have failed and those working are not working to theexpectation of the technicians and their owners. This research presents results of thestudy carried out to establish the performance of farm based biogas systems so as toassess the challenges faced by the users and to identify the possible causes of failurefor the non-operational systems.  A survey of 144 biogas plants was carried out after which performance monitoring ofselected digesters in the districts of Luwero, Kampala, Wakiso, Mbale, Jinja andMukono. It was found that 55% of the surveyed  biogas  plants  were  not  operational and  others  not  performing  to  the  users expectations. Most of the plants monitoredwere operating in the temperature range of 18°C-25°C with the gas quality rangingbetween 50-60% methane. Most digesters showed evidence of high organic loadingrates indicated by traces of biogas at the expansion chamber. The identified  causes of  failure  were  poor  system  maintenance, poor workmanship during constructionworks, poor  operation  practices, availability of other cheap fuel alternatives, lazinessand lack of interest amongst  the users, lack of alternative sources of feedstock andsystem blockages. Furthermore, there is need to sensitize people on the need for using alternativesources of energy such as biogas and improved cooking stoves for fuel saving as mostof them use wood and charcoal as supplementary fuels. This would reduce globalwarming through reduced deforestation and bring about environmental sustainabilityas a whole.

The Comparison of Climate Change Rates in Rural versus Urban Areas in Tennessee An analysis of climate data was performed in three counties in Tennessee. The goal of this study is to identify the different rates of climate change in counties of varying urbanization levels. Davidson County, which contains the city of Nashville, is used as the most urban county. Two counties outside Nashville, Sumner and Dickson Counties, are used as a moderately urban county and a rural county, respectively. The level of urbanization was adopted from Tennessee Advisory Commission on Intergovernmental Relations' Index of Relative Rurality. Yearly average temperature and daily mean temperature for the warm season (May through October) were collected on each county from the years of 1960-2020 via the PRISM Climate Group at Oregon State University. A Mann-Kendall (MK) trend test was used for each individual county’s data to determine if the series had a monotonic upward trend, meaning overall temperature increase. The hypothesis of this analysis is that the most urban county will have the highest rate of warming due to the urban heat island (UHI) effect. The analysis of the yearly average temperature data for the three counties showed that Davidson and Sumner had higher Sen’s slopes and Kendall’s Taus, which were the prominent factors examined to determine the extent of climate change. Comparatively, Dickson County was found to have a lower Sen’s slope and Kendall’s Tau, which implies a lower overall rate of warming. Significance was found within all the results, since P-values were α Laina Caywood: Environmental Health, East Tennessee State University. Ying Li: Environmental Health, East Tennessee State University. Andrew Joyner: Department of Geosciences, East Tennessee State University.

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Yes / This study aims to address a critical gap in the literature by examining the incorporation of uncertainty in measuring carbon emissions using the greenhouse gas (GHG) Protocol methodology across all three scopes. By comprehensively considering the various dimensions of CO2 emissions within the context of organizational activities, our research contributes significantly to the existing body of knowledge. We address challenges such as data quality issues and a high prevalence of missing values by using information entropy, techniques for order preference by similarity to ideal solution (TOPSIS), and an artificial neural network (ANN) to analyze the contextual variables. Our findings, derived from the data sample of 56 companies across 18 sectors and 13 Brazilian states between 2017 and 2019, reveal that Scope 3 emissions exhibit the highest levels of information entropy. Additionally, we highlight the pivotal role of public policies in enhancing the availability of GHG emissions data, which, in turn, positively impacts policy-making practices. By demonstrating the potential for a virtuous cycle between improved information availability and enhanced policy outcomes, our research underscores the importance of addressing uncertainty in carbon emissions measurement for advancing effective climate change mitigation strategies. / The full-text of this article will be released for public view at the end of the publisher embargo on 3 Aug 2025.

Honors Thesis (Environmental Resources)--Oberlin College, 2009. / "May 2009." Includes bibliographical references (leaves 75-78).

Thesis (M. Sc.)--University of Hong Kong, 1999. / Includes bibliographical references.

Thesis (M.A.)--University of Wyoming, 2008. / Title from PDF title page (viewed on August 4, 2009). Interdisciplinary thesis in International Studies and Environment and Natural Resources. Includes bibliographical references (p. 58-63).