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Creators/Authors contains: "Loebl, A.S."
  1. This paper discusses the DSRD (Data Systems Research and Development) program issues and lessons learned, especially from an organizational standpoint. (DLC)
  2. This paper deals with the use of data processing techniques in normal Naval business practices and strategies. In particular the use of productivity tools and expert systems are discussed. 1 fig.
  3. This is an update to the Preliminary Systems Integration Plan (ORNL/TM-9607) issued June 1985. This AFWIS Integration Plan is intended to provide an explanation of the Air Force's AFWIS/Project 6000 Programs that the Martin Marietta Energy System's Data Systems Research and Development (DSRD) Program is currently directing. As a complement to the work which has been undertaken and to ensure acceptance of the Energy Systems approach to the AFWIS/Project 6000 programs, this document is intended to describe the work and strategy to DOE, Energy Systems, and other interested parties.
  4. This document is Supplement III to Edition I of the Transportation Energy Conservation Data Book (ORNL-5198; EAPA 3:527), which was published by Oak Ridge National Laboratory in October 1976. This series of documents is intended to provide a desk-top reference for use by the Transportation Energy Conservation Division of the Energy Research and Development Administration. The supplements contain statistics that expand and refine data presented in Edition I. A variety of tables, charts, maps, and graphs is used in this volume to present statistical data on energy use and energy-related activity in the transportation sector. A major aspect of themore » data in this supplement focuses on energy supply to the transportation sector. Data on characteristics of transportation modes, fuel consumption characteristics, and conservation alternatives are also included in this supplement and serve to augment and update information presented in Edition I. The glossary represents a significant expansion. A list of references is provided, an index, and an annotated bibliography (showing recent acquisitions) are included at the end of this supplement.« less
  5. The purpose of this report is to provide an understanding of the standard process for the lease or sale of facilities, equipment, and real property for the Oak Ridge Reservation (ORR). The objective of this process is to facilitate the reindustrialization of the ORR for the Department of Energy (DOE). The roles and responsibilities in this standard, as defined in the attached narrative and flow diagrams, were agreed upon among various representatives from the DOE-Oak Ridge Operations Office (DOE-ORO), Lockheed Martin Energy Systems, Inc. (LMES), and the Community Reuse Organization of East Tennessee (CROET). Reindustrialization for the DOE encompasses severalmore » areas which include: facilities reuse, materials and equipment recycling, and worker transition activities. The DOE-ORO`s vision for the ORR is to have completed the reindustrialization activities for the K-25 Site by the year 2010. Several steps have already been taken to aggressively pursue this vision, such as determining the most efficient and cost-effective ways to expedite the facilities reuse process. This report provides the time-phased, step-by-step, process for the lease or sale of facilities, equipment, land, and suggestions on streamlining the required regulatory processes.« less
  6. Energy data validation can be viewed operationally as a three-fold assessment process: (1) a determination of the quality of the data collected, i.e., an assessment of accuracy; (2) an analysis of the relevance and usefulness of the data so as to assess how closely the data collected is meeting the requirements of its users; (3) an assessment of measures that can be taken to enhance the effectiveness of the data system under study. Assessment (1) is akin to the process of critical evaluation of data in the physical sciences. Assessments (2) and (3), the more distinctive features, underlie two importantmore » goals of validation. In brief, the analyst validates both the information and the requirements for the information, and as deficiencies in these two aspects are uncovered, the validation analyst formulates and evaluates the means for correcting these deficiencies. This paper focuses upon the use of an error model for systematizing the assessment of accuracy in a data-system validation study. Other topics discussed briefly are: a capsule history of energy-data validation; ORNL studies of outlier detection methods, automatic data editing and sampling theory in support of the energy-data validation program; reviews of energy-data requirements.« less
  7. This comprehensive review of current statistics on vehicle-miles of travel (VMT) in the United States identifies and evaluates sources of national VMT data for highway, rail, and air travel. From available information, VMT statistics by form of travel have been compiled for 1974. Vehicle lifetime VMT is estimated separately for passenger cars and trucks. A survey of state practices in estimating VMT shows that states use one of three methods: (1) the fuel consumption method, (2) the traffic count method, or (3) a combination of the two. An analysis of state VMT statistics indicates a surprising degree of consistency amongmore » the three methods despite significant differences in the variability of estimates produced by the three methods.« less
  8. The US Army Logistics Control Activity (LCA) maintains a data base containing information on the worldwide supply and distribution flows of Army materials. This data base exists to provide information both for management of the logistics system and to help the users track their requisitioned material as it moves through the pipeline. The data base has grown very large, currently encompassing more than 30 million records in more than 30 different individual data sets. These records are kept on magnetic disk storage units for access and processing. The primary record is a representation of the individual requisition for material, augmentedmore » by shipping information as first the requisition and then the material proceeds through the actual logistics system. Collectively, this information is known as the Logistics Intelligence File (LIF). In this document, we present our perception of the demand for information products from the LIF and the developmental activities needed to meet those demands. We also provide preliminary schedules for tasks and activities associated with this plan. For those tasks which have already been initiated, we give a summary of our progress to date. Finally, we present our estimates of the cost and resources required to implement this plan, together with an estimate of the special assistance needed from LCA.« less
  9. The increasing importance of models that stress the energy portion of the economy has created the demand for evaluation, by other than the model developer, to determine the strengths and weaknesses of a model with respect to the needs of the intended user. The literature describing how evaluations should be performed shows agreement on several basic components of the evaluation process, but at the same time is confusing because, although the same words may be used to describe these components, they often have different meanings. Although the models of interest are quantitative and the corresponding computer programs yield numerical results,more » published guidelines on model evaluation have lacked operationally defined checkpoints that can be used to summarize concisely and quantitatively the status of knowledge at a given time. A set of guidelines is developed for evaluating energy-economy models; the components of a thorough model evaluation are defined in an operational manner. Quantitative measures based on sensitivity and uncertainty analysis of results important to the user are included. Examples of the various components are drawn from the literature and from evaluation by Oak Ridge National Laboratory of the Long-Term Energy Analysis Program (LEAP) used by the Energy Information Administration for making projections to year 2020 included in that agency's 1978 Annual Report to Congress. Possible paths for future development of evaluation techniques are indicated, particularly those for which evaluation components must be more-strictly defined after further practical experience is gained.« less
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