Maintaining global warming to 2 degrees Celsius above pre-industrial levels is vital. Whether the convergence hypothesis holds for carbon dioxide emissions is important for policymakers facing this issue. This paper investigates the convergence behavior of carbon dioxide emissions for 39 countries in the Americas from 1960-2016. A linear regression test of convergence which looks for conditional sigma convergence is employed, and a clustering algorithm is used to identify convergence clubs. The results show evidence of convergence in the region for the long run. Convergence clubs are identified for the short run. The convergence clubs show some relation to spatial distribution and income level. Possible factors determining the formation of convergence clubs are investigated through logistic regression. Initial level of emissions and energy intensity were found to have the largest impact determining what convergence club a country belongs to. Per capita GDP, trade openness, and renewable energy were all found to be highly significant factors determining what convergence club a country belongs to as well. Different results were found for urbanization’s impact in determining the formation of convergence clubs. These findings show that policymakers should promote allocation schemes for carbon dioxide emissions. Policymakers should also aim to reduce carbon footprint based on the economy’s structural characteristics.

Cloud Computing presents a novel way for businesses to procure their IT needs. Its elasticity and on-demand provisioning enables a shift from capital expenditures to operating expenses, giving businesses the technological agility they need to respond to an ever-changing marketplace. The rapid adoption of Cloud Computing, however, poses a unique challenge to Cloud providers—their already very large electricity bill and carbon footprint will get larger as they expand; managing both costs is therefore essential to their growth. This thesis squarely addresses the above challenge. Recognizing the presence of Cloud data centers in multiple locations and the differences in electricity price and emission intensity among these locations and over time, we develop an optimization framework that couples workload distribution with time-varying signals on electricity price and emission intensity for financial and environmental benefits. The framework is comprised of an optimization model, an aggregate cost function, and 6 scheduling heuristics. To evaluate cost savings, we run simulations with 5 data centers located across North America over a period of 81 days. We use historical data on electricity price, emission intensity, and workload collected from market operators and research data archives. We find that our framework can produce substantial cost savings, especially when workloads are distributed both geographically and temporally—up to 53.35% on electricity cost, or 29.13% on carbon cost, or 51.44% on electricity cost and 13.14% on carbon cost simultaneously.

Cloud Computing presents a novel way for businesses to procure their IT needs. Its elasticity and on-demand provisioning enables a shift from capital expenditures to operating expenses, giving businesses the technological agility they need to respond to an ever-changing marketplace. The rapid adoption of Cloud Computing, however, poses a unique challenge to Cloud providers—their already very large electricity bill and carbon footprint will get larger as they expand; managing both costs is therefore essential to their growth. This thesis squarely addresses the above challenge. Recognizing the presence of Cloud data centers in multiple locations and the differences in electricity price and emission intensity among these locations and over time, we develop an optimization framework that couples workload distribution with time-varying signals on electricity price and emission intensity for financial and environmental benefits. The framework is comprised of an optimization model, an aggregate cost function, and 6 scheduling heuristics. To evaluate cost savings, we run simulations with 5 data centers located across North America over a period of 81 days. We use historical data on electricity price, emission intensity, and workload collected from market operators and research data archives. We find that our framework can produce substantial cost savings, especially when workloads are distributed both geographically and temporally—up to 53.35% on electricity cost, or 29.13% on carbon cost, or 51.44% on electricity cost and 13.14% on carbon cost simultaneously.

Cloud Computing presents a novel way for businesses to procure their IT needs. Its elasticity and on-demand provisioning enables a shift from capital expenditures to operating expenses, giving businesses the technological agility they need to respond to an ever-changing marketplace. The rapid adoption of Cloud Computing, however, poses a unique challenge to Cloud providers—their already very large electricity bill and carbon footprint will get larger as they expand; managing both costs is therefore essential to their growth. This thesis squarely addresses the above challenge. Recognizing the presence of Cloud data centers in multiple locations and the differences in electricity price and emission intensity among these locations and over time, we develop an optimization framework that couples workload distribution with time-varying signals on electricity price and emission intensity for financial and environmental benefits. The framework is comprised of an optimization model, an aggregate cost function, and 6 scheduling heuristics. To evaluate cost savings, we run simulations with 5 data centers located across North America over a period of 81 days. We use historical data on electricity price, emission intensity, and workload collected from market operators and research data archives. We find that our framework can produce substantial cost savings, especially when workloads are distributed both geographically and temporally—up to 53.35% on electricity cost, or 29.13% on carbon cost, or 51.44% on electricity cost and 13.14% on carbon cost simultaneously.

Uppsala municipality has set a goal in line with the UN’s 2030 Agenda for sustainable development to be fossil-free by 2030. To achieve this a lot of local companies have signed the Uppsala Climate Protocol. One of these companies is the municipal facility management company AB Uppsala Kommun Industrihus, Ihus. This project aimed to help Ihus map their emissions connected to facility maintenance and management and to enable them to reach their goal of becoming climate neutral by 2030.  The daily facility management was split up into the categories gardening, ventilation and installation, cleaning and facility work, materials and products, renovations, and painting. A sustainability spend analysis was performed on Ihus’ organisation and emissions per spent MSEK were calculated for each category by researching Ihus’ suppliers. By using those emission intensities, the two categories with the highest emissions could be identified as renovations and materials and products with intensities of 84.48 and 57.56 tonnes CO2e/MSEK, respectively. The remaining categories all had intensities below 3 tonnes CO2e/MSEK.  Sensitivity analyses were performed on the results by tweaking the values of which the emissions were based on. The results showed that to lessen Ihus’ climate impact the areas of improvement are life cycle assessments for their facilities and overseeing transports.

The district heating system (DHS) of Stockholm is one of the largest systems in the world with a total yearly production of 10TWh of heat and 2TWh of electricity (through combined heat and power plants). Large amounts of greenhouse gasses (GHG) are emitted to produce this heat and electricity. Given the goal of the City of Stockholm to reduce the amount of GHG emissions to 3 ton per capita in 2015 and to keep reducing emissions at a similar rate after 2015, it is important to identify the potentials for further reductions. Numerous studies have been done on how the DHS can become more sustainable by installing new generation units. However, also the consumers have an influence on the DHS. After all, it are the consumers who decide when and how much heat or electricity they use. Most former studies and environmental guidelines for the DHS in Stockholm focussed on the producer side. This thesis looks at the consumer perspective of the (heat of the) district heating system. A real-time signal giving the greenhouse gas emissions of individual households is developed and its potential and challenges are discussed. With this signal, households that want to minimise their environmental impact have a tool to decrease their environmental impact by changing their consumption. This can be a first step to transform the DHS to a smart district heating system. First, generic models to calculate the dynamic greenhouse gas intensity of the heat production of district heating and to calculate the greenhouse gas emissions related to the heat consumption of households are suggested. Then the feedback signal with those real-time household emissions is calculated for representative households in Stockholm based on data of Stockholm’s DHS and data about hot tap water consumption in Sweden. Results indicate that variations in household level greenhouse gas emissions mostly reflect changes in consumption but can also result from changes by the producer. Intraday variations are mostly caused by changes in hot tap water consumption, while variations on a timescale of a few days are caused by changes in heating consumption (changing weather) and changes made by the producer (to use different fuels). Then several scenarios are calculated, each scenario looking at the actions a consumer can take to shift or reduce his/her consumption (decrease hot tap water usage, lower indoor temperature etc.). The real-time household emissions are calculated again to see if the signal gives the needed incentives (is the household rewarded for its effort? Does it get further incentives?). It was found that a strong time-incentive (to decrease consumption when it saves most emissions) is missing if the average perspective is used to calculate the emission intensity of the heat production. Also, the results confirmed the finding that the feedback signal might not reflect changes in consumption. Finally, challenges for the signal are discussed. One of the major hurdles is the fact that household consumption of heat (heating and hot tap water) can often not be measured on a household level. Thus, it has to be estimated but it seems very difficult to get this estimation accurate enough to give correct feedback to households, especially about the emissions saved by their efforts to reduce/shift their consumption. Secondly, the time resolution should be chosen well to still get accurate results but not make the signal to data-intensive. Finally, the result is heavily dependent on the chosen methodology (average or marginal perspective? Do you account for the electrical side of the DHS? How about the distribution losses? Etc.).

The Environmental Kuznets Curve is an inverted U-shaped relationship which demonstrates how environmental degradation increases as countries begin to develop and lowers as they become wealthier. The classical EKC measures the effects of GDP per capita (a country’s wealth) on pollu-tion. This paper is a study of the connection of a number of factors- GDP per capita, fossil fuels, al-ternative and nuclear energy, rural population and life expectancy at birth to the Environmental Kuznets Curve. Two econometric approaches are applied in order to test whether the variables have a more pronounced linear or quadratic form. Four income groups of countries are investigated in order to check if the state of development plays a crucial role in environmental deterioration. The results of the study point out that EKC does not apply for the chosen variables. From the regression for GDP, however, it can be concluded that EKC forms in 1990s.

Banco do Nordeste do Brasil / The company apparently always ignored (or did not spend enough attention) externalities of economic activity harmful to the environment and, consequently, is facing its possible effects in recent decades. Recently, now more conscious of their actions, their continued growth policies are usually formulated taking into account the growth the trade-off between economic growth and environmental preservation cluttered, given that "the agenda" is to combine increased income with sustainability and environmental preservation. Thus, this thesis investigated the relationship between CO2 emissions and economic activity, considering an overall look from the second half of the twentieth century. However, it is used as a motto the literature of economic growth by considering that the relationship above can be analyzed from the Environmental Kuznets Curve, the estimation of the trend of CO2 emission intensity and the analysis of convergence Emission CO2pc. According to the results achieved by three chapters, one can say that to reduce the level of CO2 emissions and mitigate the effects of global warming we need to establish a new regime of CO2 emission quotas with more countries than what has been agreed with the PQ and still contemplate developing countries like China, Ãndia, MÃxico and Ãfrica do Sul At the same time, we must establish a system of taxation for GHG emissions in order to achieve the desired goals of stabilizing and subsequently reduce the emission levels more easily. Moreover, it is necessary that quotas and taxation of CO2 emissions are set from the current level of emissions and the speed of convergence for clubs highest emission level. However, there must be differentiated quotas schemes for the rich countries and developing countries, so allow them to reach the income levels of rich countries. The differentiated regime is necessary because the effects of global warming on society in the XXI century and elevations are consequences of the gas atmosphere during the eighteenth and nineteenth centuries. Therefore, it is for developed countries to further reduce CO2 emissions, according to their historical emissions. However, less developed nations can not fail to participate in this system and also is a need to reconcile economic growth with environmental preservation in such a way to mitigate the effects of global warming on future generations. Another measure that tends to be efficient in combating global warming is to support the development of alternative energy sources with low emission intensity, so increasing the speed of convergence for economies with low GHG emissions. That is, we must achieve energy efficiency from the use of clean energy (less carbon-intensive) and, for that necessarily need to replace fossil fuels. Moreover, it is necessary to transfer technologies with low carbon emissions of developed countries to developing nations in order to generate a global welfare, since this measure tends to increase speed of convergence to a low- CO2 emissions. / As sociedades aparentemente sempre ignoraram (ou nÃo despenderam atenÃÃo suficiente) as externalidades da atividade econÃmica danosas ao meio ambiente e, como consequÃncia, vem enfrentando seus possÃveis efeitos nas Ãltimas dÃcadas. Recentemente, agora mais consciente de suas aÃÃes, suas polÃticas de continuidade do crescimento sÃo geralmente formuladas levando-se em consideraÃÃo o crescimento o trade-off entre crescimento econÃmico desordenado e preservaÃÃo ambiental, haja vista que âa ordem do diaâ à conciliar aumento da renda com sustentabilidade como a preservaÃÃo do meio ambiente. Neste sentido, esta Tese investigou a relaÃÃo entre as emissÃes de CO2 e a atividade econÃmica, considerando um aspecto global a partir da segunda metade do sÃculo XX. No entanto, utiliza-se como mote a literatura de crescimento econÃmico por considerar que a relaÃÃo supracitada pode ser analisada a partir da Curva de Kuznets Ambiental, da estimaÃÃo da tendÃncia da Intensidade de EmissÃo de CO2 e da anÃlise de ConvergÃncia de EmissÃo de CO2 per capita (CO2pc). De acordo com os resultados alcanÃados pelos trÃs capÃtulos, pode-se dizer que para reduzir o nÃvel de emissÃo de CO2 e mitigar os efeitos do aquecimento global à preciso estabelecer um novo regime de cotas emissÃo de CO2 com mais paÃses do que o que foi acordado com o Protocolo de Quioto e, ainda, contemplar os paÃses em desenvolvimento como China, Ãndia, MÃxico e Ãfrica do Sul. Ao mesmo tempo, à preciso estabelecer um sistema de tributaÃÃo para as emissÃes de gases de efeito estufa (GEE), a fim de permitir alcanÃar os objetivos de estabilizar e, posteriormente, reduzir os nÃveis de emissÃo de maneira mais fÃcil. AlÃm disso, à preciso que as cotas e a tributaÃÃo de emissÃo de CO2 sejam definidas a partir do nÃvel atual de emissÃo e da velocidade de convergÃncia para clubes de maior nÃvel de emissÃo. No entanto, deve haver regimes de cotas diferenciadas para os paÃses ricos e os paÃses em desenvolvimento, de tal maneira a permitir que estes alcancem os nÃveis de renda dos paÃses ricos. O regime diferenciado se faz necessÃrio porque os efeitos do aquecimento global sobre a sociedade nos sÃculo XX e XXI sÃo consequÃncias dos gases alÃados a atmosfera terrestre durante os sÃculos XVIII e XIX. Por isso, cabe aos paÃses desenvolvidos a maior reduÃÃo das emissÃes de CO2, em funÃÃo do seu histÃrico de emissÃo. Todavia, as naÃÃes menos desenvolvidas nÃo podem deixar de participar deste sistema e, ainda, à necessÃrio conciliar crescimento econÃmico com preservaÃÃo ambiental de tal forma a mitigar os efeitos do aquecimento global sobre as futuras geraÃÃes. Outra medida que tende a ser eficiente ao combate do aquecimento global à subsidiar o desenvolvimento de fontes alternativas de energia com baixa intensidade de emissÃo, de tal modo a aumentar a velocidade de convergÃncia para economias de baixa emissÃo de GEE. Ou seja, à preciso alcanÃar a eficiÃncia energÃtica a partir do consumo de energia limpa (menos intensiva em emissÃo de carbono) e, para isto, necessariamente, à preciso substituir os combustÃveis fÃsseis. AlÃm do mais, se faz necessÃrio a transferÃncia de tecnologias com baixa emissÃo de carbono dos paÃses desenvolvidos para as naÃÃes em desenvolvimento a fim de gerar um bem-estar global, uma vez que esta medida tende a aumentar velocidade de convergÃncia para uma economia de baixa emissÃo de CO2.