State energy policy hearings

Hearings held in Sacramento, Feb. 15-Mar. 9, 1973

Diesel engineering handbook.

Earlier editions published under titles: Oil engine power plant handbook and Diesel power plant handbook.

NRC plan for cleanup operations at Three Mile Island Unit 2 /

"NUREG-0698."

Yellow Creek Nuclear Plants : socioeconomic monitoring and mitigation report.

"YNCP-SMR-1."

A study of the airplane crash hazard at the PRDC site /

"Study prepared for Prof. W. McGuire, Cornell University."

Rural electric generating and transmission cooperative Clinton impact study /

"ILENR/RE-SP-87/03."

Unearthed artifact, Figurines

Henan. Luoyang. Xin'an Power Plant; Hts: 3 11/32 in. to 3 ft. 1 13/32 in.; bronze

Factory management course and service : a series of interlocking text books written for the Industrial extension institute by factory managers and consulting engineers.

v. 1. The factory buildings / W. L. Case -- v. 8. The power plant / D. M. Myers. [c1920] -- v. 9. The mechanical equipment / J. W. Roe. [c1922]

Aviation unit and intermediate maintenance for Army UH-60A and EH-60A helicopters.

"29 August 1989."

University Hospital

On verso: Taken from the smoke stack of the Washington Street Power Plant. In another hand: Hospital still unfinished in interior. Nurses Dorm not yet started

Merchant marine inquiry--fuel shortage : Executive hearing[s] before the special subcommittee on fuel shortage of the Committee on Merchant Marine and Fisheries, House of Representatives, Seventy-seventh Congress, first session, pursuant to authority of H. Res. 281, a resolution authorizing investigation of the national defense program as it relates to the Committee on the Merchant Marine and Fisheries. October 15 and November 5, 1941.

Edward J. Hart, chairman of subcommittee.

TVA and the Clinch River breeder reactor project : hearing before the Subcommittee on Regional and Community Development of the Committee on Environment and Public Works, United States Senate, Ninety-eighth Congress, first session, April 20, 1983.

Includes bibliographical references.

An isotopic analysis of geothermal brine and calcite scaling from the Blue Mountain geothermal field, Winnemucca, Nevada

Understanding, and controlling, the conditions under which calcite precipitates within geothermal energy production systems is a key step in maintaining production efficiency. In this study, I apply methods of bulk and clumped isotope thermometry to an operating geothermal energy facility in northern Nevada to see how those methods can better inform the facility owner, AltaRock Energy, Inc., about the occurrence of calcite scale in their power plant. I have taken water samples from five production wells, the combined generator effluent, shallow cold-water wells, monitoring wells, and surface water. I also collected calcite scale samples from within the production system. Water samples were analyzed for stable oxygen isotope composition (d18O). Calcite samples were analyzed for stable oxygen and carbon (d13C) composition, and clumped isotope composition (D47). With two exceptions, the water compositions are very similar, likely indicating common origin and a well-mixed hydrothermal system. The calcite samples are likewise similar to one another. Apparent temperatures calculated from d18O values of water and calcite are lower than those recorded for the system. Apparent temperatures calculated from D47 are several degrees higher than the recorded well temperatures. The lower temperatures from the bulk isotope data are consistent with temperatures that could be expected during a de-pressurization of the production system, which would cause boiling in the pipes, a reduction in system temperature, and rapid precipitation of calcite scale. However, the high apparent temperature indicated by the D47 data suggests that the calcite is depleted in clumped isotopes given the known temperature of the system, which is inconsistent with this hypothesis. This depletion could instead result from disequilibrium isotopic fractionation during the aforementioned boil events, which would make both the apparent d18O-based and D47-based temperatures unrepresentative of the actual water temperature. This research can help improve our understanding of how isotopic analyses can better inform us about the movement of water through geothermal systems of the past and how it now moves through modern systems. Increased understanding of water movement in these systems could potentially allow for more efficient utilization of geothermal energy as a renewable resource.

Fibre agglomerate transport in a horizontal flow

An experimental and theoretical study of the transport of mineral wool fibre agglomerates in nuclear power plant containment sumps is being performed. A racetrack channel was devised to provide data for the validation of numerical models, which are intended to model the transport of fibre agglomerates. The racetrack channel provides near uniform and steady conditions that lead to either the sedimentation or suspension of the agglomerates. Various experimental techniques were used to determine the velocity conditions and the distribution of the fibre agglomerates in the channel. The fibre agglomerates are modelled as fluid particles in the Eulerian reference frame. Simulations of pure sedimentation of a known mass and volume of agglomerations show that the transport of the fibre agglomerates can be replicated. The suspension of the fibres is also replicated in the simulations; however, the definition of the fibre agglomerate phase is strongly dependent on the selected density and diameter. Detailed information on the morphology of the fibre agglomerates is lacking for the suspension conditions, as the fibre agglomerates may undergo breakage and erosion. Therefore, ongoing work, which is described here, is being pursued to improve the experimental characterisation of the suspended transport of the fibre agglomerates.

Classification of Data to Extract Knowledge from Neural Networks

A major drawback of artificial neural networks is their black-box character. Therefore, the rule extraction algorithm is becoming more and more important in explaining the extracted rules from the neural networks. In this paper, we use a method that can be used for symbolic knowledge extraction from neural networks, once they have been trained with desired function. The basis of this method is the weights of the neural network trained. This method allows knowledge extraction from neural networks with continuous inputs and output as well as rule extraction. An example of the application is showed. This example is based on the extraction of average load demand of a power plant.