The Parametric Aircraft Noise Analysis Module - status overview and recent applications

The German Aerospace Center (DLR) is investigating aircraft noise prediction and noise reduction capabilities. The Parametric Aircraft Noise Analysis Module (PANAM) is a fast prediction tool by the DLR Institute of Aerodynamics and Flow Technology to address overall aircraft noise. It was initially developed to (1) enable comparative design studies with respect to overall aircraft ground noise and to (2) indentify promising low-noise technologies at early aircraft design stages. A brief survey of available and established fast noise prediction codes is provided in order to rank and classify PANAM among existing tools. PANAM predicts aircraft noise generated during arbitrary 3D approach and take-off flight procedures. Noise generation of an operating aircraft is determined by its design, the relative observer position, configuration settings, and operating condition along the flight path. Feasible noise analysis requires a detailed simulation of all these dominating effects. Major aircraft noise components are simulated with individual models and interactions are neglected. Each component is simulated with a separate semi-empirical and parametric noise source model. These models capture major physical effects and correlations yet allow for fast and accurate noise prediction. Sound propagation and convection effects are applied to the emitting noise source in order to transfer static emission into aircraft ground noise impact with respect to the actual flight operating conditions. Recent developments and process interfaces are presented and prediction results are compared with experimental data recorded during DLR flyover noise campaigns with an Airbus A319 (2006), a VFW-614 (2009), and a Boeing B737-700 (2010). Overall, dominating airframe and engine noise sources are adequately modeled and overall aircraft ground noise levels can sufficiently be predicted. The paper concludes with a brief overview on current code applications towards selected noise reduction technologies

China and Brazil Productive Structure and Economic Growth Compared: 1980’s to 2000’s

China and Brazil are two countries with continental dimensions, with differences in availability of natural resources, population sizes, and which have adopted different strategies of economic growth in the past. China has been following consistently a strategy of Export Led Growth (ELG), while Brazil, until the mid 1990s had a strategy based on Import Substitution Industrialization (ISI) with a relatively closed economy to the external market; however, recently Brazil has been switching to a more open economy, based on primary goods exports. In the mid 1980s the Gross National Income measured in US$ using purchasing power parity rates (GNI-PPP) of China and Brazil were at approximately the same level, but by the mid 2000s the GNI-PPP of China was around 4 times greater than Brazil’s. By looking at a series of input-output tables and their indicators, like multipliers and linkages, for China (1987, 1992, 1997, 2002, 2007) and Brazil (1985, 1992, 1997, 2002, 2007), we analyze, and compare the productive structures, and their changes over time, for these two countries. From the results, we are able to show the differences between these two countries and the results of the development strategies used by them.China, Brazil, Input-Output, Productive Structure, Economic Growth

Energy prices and energy intensity in China : a structural decomposition analysis and econometrics study

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has declined dramatically, by about 70%, in spite of increases in energy consumption. Is this just a coincidence? Or does a systematic relationship exist between energy prices and energy intensity? In this study, we examine whether and how China's energy price changes affect its energy intensity trend during 1980-2002 at a macro level. We conduct the research by using two complementary economic models: the input-output-based structural decomposition analysis (SDA) and econometric regression models and by using a decomposition method of own-price elasticity of energy intensity. Findings include a negative own-price elasticity of energy intensity, a price-inducement effect on energy efficiency improvement, and a greater sensitivity (in terms of the reaction of energy intensity towards changes in energy prices) of the industry sector, compared to the overall economy.(cont.) Analysts can use these results as a starting point for China's energy and carbon emission forecasts, which they traditionally conduct in China without accounting for energy-intensity changes. In addition, policy implications may initiate new thinking about energy policies that are needed to conserve China's energy resources and reduce carbon emissions

Schedule NU! Schedule SC!

Schedule NU! Schedule SC! Lancaster V-VI Cheri Polenske (NU ITS), Jean Padrnos (NU ITS), Corrie Svehla (NU ITS - UNL) One of the goals of OneIT is to maximize the purchasing power by consolidating contracts and utilizing common systems. UNK, UNL and UNO utilized a product called EMS for event scheduling. CSC, UNL and UNO used R25/S25 for academic scheduling. The University was able to license the EMS scheduling solution for all of the Universities and State Colleges for both academic scheduling/optimization and event scheduling in one contract. The implementation of the shared EMS system is underway and will go-live mid to late 2018. Choose this presentation because: You are interested in learning more about EMS for event scheduling. You wish to hear more about the collaborative effort of implementing a system-wide event and academic scheduling tool. You wish to see the tool live

Regional, Economic, and Environmental Implications of Dual Ethanol Technologies in Brazil

Climate change, food security, and energy efficiency have become universal challenges for global economic development and environmental conservation that demand in-depth multidisciplinary research. Biofuels have emerged as a decisive factor in the fight against global warming and air pollution from fossil fuel use, and they can play an important role in the development of poor as well as rich regions. In this work, we investigate the implications of biofuels for regional development in Brazil given its historic experience as an ethanol producer. We compare the environmental and economic impacts of the two predominant ethanol production techniques, in order to understand their effects on output, employment and income and also their potential to reduce the intensity of fossil fuel use and emissions of greenhouse gases. As we focus on a developing country, we also examine the distributional impacts of ethanol technology deployment, in terms of its potential contributions to poverty alleviation and the reduction of regional income inequalities. The production technologies currently used to produce ethanol differ spatially in Brazil, with a capital-intensive technology being used in the Southern regions of the country, and a traditional labor-intensive technology in the Northern regions. We take advantage of this regional variation to conduct a comparative regional analysis of ethanol production technology choice. We evaluate and compare the direct and indirect relationship between output, employment, income, energy intensity, and pollution emissions at the subnational level for the two ethanol production technologies, showing quantitatively the interrelations between the ethyl alcohol industry and the rest of the economy. We hypothesize that the adoption of capital-intensive ethanol production technology provides greater output and employment and lower environmental and energy costs than more traditional technologies and, in contrast, that the implementation of the traditional technology alleviates income inequality by increasing the income received by households in economically deprived regions