Impacts of Climate-responsive Controls and Land Usage on Regional Climate and Air Quality Marcus A. Trail 201 pages Directed by Dr. Armistead G. Russell Regional air quality impacts public health, visibility and ecosystem health, and is significantly affected by changes in climate, land use and pollutant emissions. Predictions of regional air quality responses to such changes can help inform policy makers in the development of effective approaches to both reduce greenhouse gases and improve air quality. However, major sources of uncertainty exist in predicting future air quality including limitations in the tools used to project future emissions, land use changes and uncertainties associated with predicting future climate. Recently, technical advances in downscaling global climate simulations to regional scales, and, the development of bottom-up operational tools used to forecast emissions have enhanced our ability to account for the complex interactions between population, socio-economic development, technological change, and federal and regional environmental policies. The results show that emissions reductions strategies will continue to play a vital role in improving air quality over the U.S. while CO2 emission reduction policies can have mixed positive and negative impacts on air quality. However, additional costs will be necessary to reach air quality goals due to climate change because deeper emission reductions will be required to compensate for a warmer climate, even if current efforts are predicted to show improvement. The results of this study also show that regional climate and O3 and aerosol concentrations are highly sensitive to reforestation and cropland conversion in the Southeast and these land use changes should be considered in air quality management plans.

Given the increasing demand for energy, climate change, and environmental concern of fossil fuels, it is becoming increasingly significant to find alternative renewable energy sources. Bioethanol as one sort of cellulosic biofuel produced from lignocellulosic biomass feedstocks has shown great potential as a renewable resource. Delivering a competitive, sustainable biofuel product requires comprehensive supply chain planning and design. Developing economically and environmentally optimal supply chain models is necessary in this context. Also, designing biomass bioethanol supply chain (BBSC) models addressing social issues requires using second-generation biomass which is not a source of food for humans. Currently, corn as a first-generation feedstock is the primary source of bioethanol in the United States which has given growth to new social issues such as the food versus fuel debate. Considering incentives for first-generation bioethanol producers to switch to second-generation biomass and associated production technologies will help to address such social issues. The scope of this study focuses on analyzing economic and environmental market incentives for second-generation bioethanol producers while considering different carbon policies as penalties and restrictions for emissions coming from BBSC activities. First, we develop an integrated life cycle emission and energy optimization model for analyzing an entire second-generation bioethanol supply chain using switchgrass as the source of biomass while finding the most appropriate potential locations for building new cellulosic biorefineries in North Dakota. Second, we propose a supply chain model by comparing a first-generation (corn) and a second-generation (corn stover) bioethanol supply chain to analyze how policymakers can incentivize first-generation bioethanol producers to switch their technology and biomass supply from first-generation to second-generation biomass. Third, we develop the model further by investigating the impact of four different carbon policies including the carbon tax, carbon cap, carbon cap-and-trade, and carbon offset on the supply chain strategic and operational decisions. This research will help to design robust BBSCs focused on sustainability in order to optimally utilize second-generation biomass resources in the future. The findings can be utilized by renewable energy policy decision makers, bioethanol producers, and investors to operate in a competitive market while protecting the environment.

Integrated Assessment Models (IAM)s play a key role in climate policy research; however, many IAMs are limited by their treatment of technological change. This is a particularly vexing limitation because technological change significantly affects the optimal carbon policy. We propose a means of incorporating technological change within the Dynamic Integrated Model of the Climate and Economy (DICE). We modify DICE to allow it to adjust the cost of CO2 abatement based on the demand for solar photovoltaic generating capacity. We find that deployment of solar photovoltaics (PV) is highly sensitive to returns to scale and the grid integration costs associated with PV intermittency. At low returns to scale integration costs cause PV to be deployed in steps, reducing the benefit of scale effects; at higher returns to scale PV is deployed smoothly but is arrested integration costs become significant; and when returns are high PV becomes so inexpensive that it’s deployed widely in spite of integration costs. The implication of this behavior is that the optimal allocation of research and development resources depends on returns to scale in the solar market: if returns to scale are low, R&D should focus on PV itself, while if they’re high, R&D should focus on reducing integration costs.

The specific objectives of this project were: 1) Determine financial viability of enrolling forest landowners in Chicago Climate Exchange (CCX) forestry carbon offset protocols; 2) Determine financial trade-offs associated with managing loblolly pine (Pinus taeda L.) and Cherrybark oak (Quercus pagoda Raf.) stands for increased carbon sequestration and timber; 3) Examine financial feasibility of increasing carbon accumulation in wood products carbon by extending rotation length of loblolly pine stands; and 4) Explore potential impacts of carbon policies and programs on future carbon accumulation in Mississippi’s forest sector.

Many companies acknowledge the threat from global carbon emissions and how it affects climate change. Despite the continuous warnings, many organizations lack the necessary and recommended action plans that can hamper their negative impact on the environment. One of the managerial tools that companies use globally in order to work proactively and strategically on issues related to the environment, is to set up carbon reduction targets. With time companies have in-house strategies on how to reach the carbon reduction targets by creating a roadmap of cutting measures. Unfortunately, the majority of companies do not have carbon reduction targets that are in line with what science think is needed to avoid contributing to global warming. Nonetheless, forward-thinking early adopters have been using “science-based” methods to challenge the status quo by developing ambitious carbon targets that are in line with today’s best carbon science. This qualitative research investigates the challenging steps from setting a long-term carbon target, using the guidelines and methods presented by the Science-based target initiative. With an exploratory research approach, a case study was conducted at a global leader in appliance manufacturing and industry leader within sustainability. The data was gathered by using semistructured interviews combined with observational findings with a focus to examine how carbon targets emerge in a situated organizational setting. The interviewee's representatives come from two categories, internal company representatives and, external companies that have used the guidelines to set science-based carbon targets. For manufacturing firms, the findings from investigating three steps of the process: calculating the base-year, target integration and predicting future technology development. Calculating the base-year was identified as the most challenging step. The empirical findings helped build an understanding of the different dimensions that facilitate corporate sustainability management. This research has helped to contribute to the lack of empirical findings within the carbon management and carbon target area. Specifically, the sciencebased carbon target topic. / Många företag har idag uppmärksammat det globala hotet från de enorma utsläppen av koldioxid och dess drivande roll i framtidens klimatförändringar. Trots att många företag kontinuerligt arbetar mot att minska sina koldioxidutsläpp, saknar många de nödvändiga handlingsplanerna för att hämma deras negativa påverkan på miljön. Ett av verktygen företag globalt har för att arbeta med proaktivt och strategiskt i frågor som rör miljö, är att sätta upp koldioxidreduktionsmål. Men tyvärr har flertalet av företagen idag mål som inte ligger i linje med vad vetenskapen anser är nödvändigt för att undvika den framtida globala uppvärmningen.Vad ett företag bidrar med har visat sig ofta bygga på okunskap och är därför hamnar sällan målen i linje med vad naturen efterfrågar. För att utmana detta problem har några banbrytande företag använt sig av metoder som kallas "science-based". Dessa metoder är en samling ramverk för att skapa långsiktiga koldioxidreduktionsmål som bättre ligger i linje med vad forskningen tror är nödvändigt för att undvika den globala uppvärmningen. Denna kvalitativa studie undersöker hur ett tillverkningsföretag skapar långsiktiga koldioxidreduktionsmål genom att använda vetenskapligt baserade metoder. En explorativ fallstudie genomfördes hos en global ledare inom tillverkning av vitvaror och hushållsapparater och, som även är branschledare inom hållbarutveckling. Uppgifterna samlades in genom att använda halvstrukturerade intervjuer i kombination med observationer med fokus på att undersöka målsättningsprocessen i ett företags miljöer. De intervjuade kommer från två kategorier, representanter inom företaget och, externa företag som redan har använt dessa ramverk för att skapa vetenskapligt baserade koldioxidreduktionsmål. Resultaten visar att för tillverkningsföretag finns det tre utmanande steg: att beräkna basåret, målintegration och förutspå nödvändig framtida teknikutveckling. De empiriska fynden bidrar till att skapa en bättre förståelse kring hur företag idag arbetar med att sätta upp koldioxidreduktionsmål med fokus på att använda ”science-based” ramverken.