Minimizing residential distribution system operating costs through intelligently scheduled plug-in hybrid electric vehicle charging

Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more effcient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.

Sustainability study of nanomaterials including societal and occupational implications

In recent years there has been a tremendous amount of research in the area of nanotechnology. History tells us that the commercialization of technologies will always be accompanied by both positive and negative effects for society and the environment. Products containing nanomaterials are already available in the market, and yet there is still not much information regarding the potential negative effects that these products may cause. The work presented in this dissertation describes a holistic approach to address different dimensions of nanotechnology sustainability. Life cycle analysis (LCA) was used to study the potential usage of polyethylene filled with nanomaterials to manufacture automobile body panels. Results showed that the nanocomposite does not provide an environmental benefit over traditional steel panels. A new methodology based on design of experiments (DOE) techniques, coupled with LCA, was implemented to investigate the impact of inventory uncertainties. Results showed that data variability does not have a significant effect on the prediction of the environmental impacts. Material profiles for input materials did have a highly significant effect on the overall impact. Energy consumption and material characterization were identified as two mainstreams where additional research is needed in order to predict the overall impact of nanomaterials more effectively. A study was undertaken to gain insights into the behavior of small particles in contact with a surface exposed to air flow to determine particle lift-off from the surface. A mapping strategy was implemented that allows for the identification of conditions for particle liftoff based on particle size and separation distance from the wall. Main results showed that particles smaller than 0:1mm will not become airborne under shear flow unless the separation distance is greater than 15 nm. Results may be used to minimize exposure to airborne materials. Societal implications that may occur in the workplace were researched. This research task explored different topics including health, ethics, and worker perception with the aim of identifying the base knowledge available in the literature. Recommendations are given for different scenarios to describe how workers and employers could minimize the unwanted effects of nanotechnology production.

PROSPECTS AND ISSUES FOR FUEL CELLS WITH FREIGHT RAIL TRANSPORTATION

Recent changes in the cost and availability of natural gas (NG) as compared to diesel have sparked interest at all levels of the commercial shipping sector. In particular, Class 1 heavy-duty rail has been researching NG as a supplement to diesel combustion. This study investigates the relative economic and emissions advantage of making use of the energy efficiencies if combustion is circumvented altogether by use of fuel cell (FC) technologies applied to NG. FC technology for the transport sector has primarily been developed for the private automobile. However, FC use in the automobile sector faces considerable economic and logistical barriers such as cost, range, durability, and refueling infrastructure. The heavy-duty freight sector may be a more reasonable setting to introduce FC technology to the transportation market. The industry has shown interest in adopting NG as a potential fuel by already investing in NG infrastructure and locomotives. The two most promising FC technologies are proton exchange membrane fuel cells (PEMFCs) and solid oxide fuel cells (SOFCs). SOFCs are more efficient and capable of accepting any kind of fuel, which makes them particularly attractive. The rail industry can benefit from the adoption of FC technology through reduced costs and emissions, as well as limiting dependence on diesel, which accounts for a large portion of operation expenses for Class 1 railroads. This report provides an economic feasibility analysis comparing the use of PEMFCs and SOFCs in heavy freight rail transport applications. The scope is to provide insight into which technologies could be pursued by the industry and to prioritize technologies that need further development. Initial results do not show economic potential for NG and fuel cells in locomotion, but some minimal potential for reduced emissions is seen. Various technology configurations and market scenarios analyzed could provide savings if the price of LNG is decreased and the price of diesel increases. The most beneficial areas of needed research include technology development for the variable output of SOFCs, and hot start-up optimization.

Investigations Concerning Bentonite Deposits Near Ramsay, Montana

The purpose of Part I of this report is to determine the origin of the bentonite deposits, also to locate them with reference to section corners in the vicinity and to determine their extent. The field work for this report was done in the fall of 1933 and during the spring of 1934. The roads, geologic contacts, and culture in general were mapped with the use of an open sight alidade and plane table. Distances were determined on the roads by the speedometer on the automo­bile; the detailed survey in the immediate vicinity of the deposits was done with use of the Brunton compass and pac­ing. The purpose of Part II in this report is to determine if the bentonite deposits immediately west of Butte, Montana are of com­mercial importance and also to determine the use to which they are best suited.

Geology of a Portion of the Bull Mountain Range Jefferson County, Montana

Work was first done on a known section, the south Boulder Section, in order to familiarize the student with the formations. Most of the area was mapped by plane table and telescopic alidade, general features being surveyed by automobile traverse and a pacing traverse.

Cold-Start Emissions testing of Snowmobiles Using Ethanol and Gasoline

Increasing prices for fuel with depletion and instability in foreign oil imports has driven the importance for using alternative and renewable fuels. The alternative fuels such as ethanol, methanol, butyl alcohol, and natural gas are of interest to be used to relieve some of the dependence on oil for transportation. The renewable fuel, ethanol which is made from the sugars of corn, has been used widely in fuel for vehicles in the United States because of its unique qualities. As with any renewable fuel, ethanol has many advantages but also has disadvantages. Cold startability of engines is one area of concern when using ethanol blended fuel. This research was focused on the cold startability of snowmobiles at ambient temperatures of 20 °F, 0 °F, and -20 °F. The tests were performed in a modified 48 foot refrigerated trailer which was retrofitted for the purpose of cold-start tests. Pure gasoline (E0) was used as a baseline test. A splash blended ethanol and gasoline mixture (E15, 15% ethanol and 85% gasoline by volume) was then tested and compared to the E0 fuel. Four different types of snowmobiles were used for the testing including a Yamaha FX Nytro RTX four-stroke, Ski-doo MX Z TNT 600 E-TEC direct injected two stroke, Polaris 800 Rush semi-direct injected two-stroke, and an Arctic Cat F570 carbureted two-stroke. All of the snowmobiles operate on open loop systems which means there was no compensation for the change in fuel properties. Emissions were sampled using a Sensors Inc. Semtech DS five gas emissions analyzer and engine data was recoded using AIM Racing Data Power EVO3 Pro and EVO4 systems. The recorded raw exhaust emissions included carbon monoxide (CO), carbon dioxide (CO2), total hydrocarbons (THC), and oxygen (O2). To help explain the trends in the emissions data, engine parameters were also recorded. The EVO equipment was installed on each vehicle to record the following parameters: engine speed, exhaust gas temperature, head temperature, coolant temperature, and test cell air temperature. At least three consistent tests to ensure repeatability were taken at each fuel and temperature combination so a total of 18 valid tests were taken on each snowmobile. The snowmobiles were run at operating temperature to clear any excess fuel in the engine crankcase before each cold-start test. The trends from switching from E0 to E15 were different for each snowmobile as they all employ different engine technologies. The Yamaha snowmobile (four-stroke EFI) achieved higher levels of CO2 with lower CO and THC emissions on E15. Engine speeds were fairly consistent between fuels but the average engine speeds were increased as the temperatures decreased. The average exhaust gas temperature increased from 1.3-1.8% for the E15 compared to E0 due to enleanment. For the Ski-doo snowmobile (direct injected two-stroke) only slight differences were noted when switching from E0 to E15. This could possibly be due to the lean of stoichiometric operation of the engine at idle. The CO2 emissions decreased slightly at 20 °F and 0 °F for E15 fuel with a small difference at -20 °F. Almost no change in CO or THC emissions was noted for all temperatures. The only significant difference in the engine data observed was the exhaust gas temperature which decreased with E15. The Polaris snowmobile (semi-direct injected two-stroke) had similar raw exhaust emissions for each of the two fuels. This was probably due to changing a resistor when using E15 which changed the fuel map for an ethanol mixture (E10 vs. E0). This snowmobile operates at a rich condition which caused the engine to emit higher values of CO than CO2 along with exceeding the THC analyzer range at idle. The engine parameters and emissions did not increase or decrease significantly with decreasing temperature. The average idle engine speed did increase as the ambient temperature decreased. The Arctic Cat snowmobile (carbureted two-stroke) was equipped with a choke lever to assist cold-starts. The choke was operated in the same manor for both fuels. Lower levels of CO emissions with E15 fuel were observed yet the THC emissions exceeded the analyzer range. The engine had a slightly lower speed with E15.

A Measurement System Experiment to Evaluate the Nosing-to-nosing Method for Measuring Dimensions of Steps

Non-uniformity of steps within a flight is a major risk factor for falls. Guidelines and requirements for uniformity of step risers and tread depths assume the measurement system provides precise dimensional values. The state-of-the-art measurement system is a relatively new method, known as the nosing-to-nosing method. It involves measuring the distance between the noses of adjacent steps and the angle formed with the horizontal. From these measurements, the effective riser height and tread depth are calculated. This study was undertaken for the purpose of evaluating the measurement system to determine how much of total measurement variability comes from the step variations versus that due to repeatability and reproducibility (R&R) associated with the measurers. Using an experimental design quality control professionals call a measurement system experiment, two measurers measured all steps in six randomly selected flights, and repeated the process on a subsequent day. After marking each step in a flight in three lateral places (left, center, and right), the measurers took their measurement. This process yielded 774 values of riser height and 672 values of tread depth. Results of applying the Gage R&R ANOVA procedure in Minitab software indicated that the R&R contribution to riser height variability was 1.42%; and to tread depth was 0.50%. All remaining variability was attributed to actual step-to-step differences. These results may be compared with guidelines used in the automobile industry for measurement systems that consider R&R less than 1% as an acceptable measurement system; and R&R between 1% and 9% as acceptable depending on the application, the cost of the measuring device, cost of repair, or other factors.

The Amplifier - v. 7, no. 6

In this issue...World War I, book drive, Pete Gross, Columbia Gardens, Marcus Daly, greyhound racing, Governor Donald Nutter, Santa Claus, Sid Brown, Metals Bank

Geological Report of Conrow Wood Creek Area 8 Miles N.E. of Whitehall, Montana

Plane table and pacing methods were used in the mapping of the individual areas, but an automobile traverse was used to tie the independent areas into a composite group that would be useful for the entire zone. All land marks, section corners, roads, fence lines, drainage, and geologic features were plotted in the field and later transferred to a master map.

The Amplifier - v. 10, no. 4

In this issue...Berkeley Pit, parking permit, Christmas Formal, NASA, Metals Bank, Mrs. Peck, Alumni Coliseum, Park Street, Big M, barrel racing, Sparky McGarry

Seasonal variation of VO 2 max and the VO2-work rate relationship in elite Alpine skiers

PURPOSE: Alpine ski performance relates closely to both anaerobic and aerobic capacities. During their competitive season, skiers greatly reduce endurance and weight training, and on-snow training becomes predominant. To typify this shift, we compared exhaustive ramp cycling and squat (SJ) and countermovement jumping (CMJ) performance in elite males before and after their competitive season. RESULTS: In postseason compared with preseason: 1) maximal oxygen uptake (VO 2 max) normalized to bodyweight was higher (55.2 +/- 5.2 vs 52.7 +/- 3.6 mL x kg(-1) x min(-1), P < 0.01), but corresponding work rate (W) was unchanged; 2) at ventilatory thresholds (VT), absolute and relative work rates were similar but heart rates were lower; 3) VO2/W slope was greater (9.59 +/- 0.6 vs 9.19 +/- 0.4 mL O2 x min(-1) x W(-1), P = 0.02), with similar flattening (P < 0.01) above V T1 at both time points; and 4) jump height was greater in SJ (47.4 +/- 4.4 vs 44.7 +/- 4.3 cm, P < 0.01) and CMJ (52.7 +/- 4.6 vs 50.4 +/- 5.0 cm, P < 0.01). DISCUSSION: We believe that aerobic capacity and leg power were constrained in preseason and that improvements primarily reflected an in-season recovery from a fatigued state, which was caused by incongruous preseason training. Residual adaptations to high-altitude exposure in preseason could have also affected the results. Nonetheless, modern alpine skiing seemingly provides an ample cardiovascular training stimulus for skiers to maintain their aerobic capacities during the racing season. CONCLUSIONS: We conclude that aerobic fitness and leg explosiveness can be maintained in-season but may be compromised by heavy or excessive preseason training. In addition, ramp test V O2/W slope analysis could be useful for monitoring both positive and negative responses to training.

Is the Market Classification of Risk Always Efficient? - Evidence from German Third Party Motor Insurance

This paper studies the empirical effects of risk classification in the mandatory third-party motor insurance of Germany following the European Union’s directive to de-regulate insurance tariffs of 1994. We find evidence that inefficient risk categories had been selected while potentially efficient information was dismissed. Risk classification did generally not improve the efficiency of contracting or the composition of insureds in this market. These findings are partly explained by the continuing existence of institutional restraints in this market such as compulsory fixed coverage and unitary owner insurance.

Blattmeier

Technische Produktionssysteme und Prozesse - welcher Technologie auch immer - müssen den Bedürfnissen der industriellen Bauteilherstellung für Endanwendungen im Automobilbau entsprechen. Es stellt sich zunächst die Frage, auf welchem technologischen Reifegrad sich die generativen Technologien für den Automobilbau derzeit befinden? Welche außerordentlichen Vorteile können generative Prozessketten gegenüber konventionellen Herstellungsverfahren bieten und welche Hürden müssen genommen werden? Im Vordergrund der Untersuchung steht die Betrachtung von Pre-, In- und Post-Prozessen generativer wie auch konventioneller Produktionsverfahren. Bei der Gegenüberstellung der Prozessketten werden Maßstäbe angesetzt, die derzeit bei der Bauteilherstellung im Automobilbau Gültigkeit haben und auf Kriterien wie Effizienz, Reproduzierbarkeit und Kontrollierbarkeit aufbauen. Schließlich findet eine Einschätzung aus der Perspektive der Technologieintegration in derzeitige Produktionssysteme und Lieferketten statt. Es werden Restriktionen und Handlungsfelder von generativen Prozessen deutlich, die für den Einsatz für Endkunden-Bauteile im Fahrzeugbau behandelt werden müssen.

Technologische Reife von generativen Herstellungsverfahren für Endanwendungen im Automobilbau

Technische Produktionssysteme und Prozesse - welcher Technologie auch immer - müssen den Bedürfnissen der industriellen Bauteilherstellung für Endanwendungen im Automobilbau entsprechen. Es stellt sich zunächst die Frage, auf welchem technologischen Reifegrad sich die generativen Technologien für den Automobilbau derzeit befinden? Welche außerordentlichen Vorteile können generative Prozessketten gegenüber konventionellen Herstellungsverfahren bieten und welche Hürden müssen genommen werden? Im Vordergrund der Untersuchung steht die Betrachtung von Pre-, In- und Post-Prozessen generativer wie auch konventioneller Produktionsverfahren. Bei der Gegenüberstellung der Prozessketten werden Maßstäbe angesetzt, die derzeit bei der Bauteilherstellung im Automobilbau Gültigkeit haben und auf Kriterien wie Effizienz, Reproduzierbarkeit und Kontrollierbarkeit aufbauen. Schließlich findet eine Einschätzung aus der Perspektive der Technologieintegration in derzeitige Produktionssysteme und Lieferketten statt. Es werden Restriktionen und Handlungsfelder von generativen Prozessen deutlich, die für den Einsatz für Endkunden-Bauteile im Fahrzeugbau behandelt werden müssen.

Technologische Reife von generativen Herstellungsverfahren für Endanwendungen im Automobilbau

Technische Produktionssysteme und Prozesse - welcher Technologie auch immer - müssen den Bedürfnissen der industriellen Bauteilherstellung für Endanwendungen im Automobilbau entsprechen. Es stellt sich zunächst die Frage, auf welchem technologischen Reifegrad sich die generativen Technologien für den Automobilbau derzeit befinden? Welche außerordentlichen Vorteile können generative Prozessketten gegenüber konventionellen Herstellungsverfahren bieten und welche Hürden müssen genommen werden? Im Vordergrund der Untersuchung steht die Betrachtung von Pre-, In- und Post-Prozessen generativer wie auch konventioneller Produktionsverfahren. Bei der Gegenüberstellung der Prozessketten werden Maßstäbe angesetzt, die derzeit bei der Bauteilherstellung im Automobilbau Gültigkeit haben und auf Kriterien wie Effizienz, Reproduzierbarkeit und Kontrollierbarkeit aufbauen. Schließlich findet eine Einschätzung aus der Perspektive der Technologieintegration in derzeitige Produktionssysteme und Lieferketten statt. Es werden Restriktionen und Handlungsfelder von generativen Prozessen deutlich, die für den Einsatz für Endkunden-Bauteile im Fahrzeugbau behandelt werden müssen.