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Boise, ID, United States

Idaho Power Company is a regulated electrical power utility. Its business involves the purchase, sale, generation, transmission and distribution of electricity in eastern Oregon and southern Idaho. It is a subsidiary of IDACORP, Inc. The company's 24,000-square-mile service area generally follows the area around the Snake River and its tributaries.Idaho Power owns and operates 17 hydroelectric dams and 2 natural gas power plants. IPC also owns shares of three coal-fired power plants.In 2007, electricity sold by IPC was 33% hydroelectric, 39% thermal and 28% was purchased from other generation companies. Wikipedia.

Dawson N.,University of Arizona | Broxton P.,University of Arizona | Zeng X.,University of Arizona | Leuthold M.,University of Arizona | And 2 more authors.
Journal of Hydrometeorology | Year: 2016

Snow plays a major role in land-atmosphere interactions, but strong spatial heterogeneity in snow depth (SD) and snow water equivalent (SWE) makes it challenging to evaluate gridded snow quantities using in situ measurements. First, a new method is developed to upscale point measurements into gridded datasets that is superior to other tested methods. It is then utilized to generate daily SD and SWE datasets for water years 2012-14 using measurements from two networks (COOP and SNOTEL) in the United States. These datasets are used to evaluate daily SD and SWE initializations in NCEP global forecasting models (GFS and CFSv2, both on 0.5° × 0.5° grids) and regional models (NAM on 12 km × 12 km grids and RAP on 13 km × 13 km grids) across eight 2° × 2° boxes. Initialized SD from three models (GFS, CFSv2, and NAM) that utilize Air Force Weather Agency (AFWA) SD data for initialization is 77% below the area-averaged values, on average. RAP initializations, which cycle snow instead of using the AFWA SD, underestimate SD to a lesser degree. Compared with SD errors, SWE errors from GFS, CFSv2, and NAM are larger because of the application of unrealistically low and globally constant snow densities. Furthermore, the widely used daily gridded SD data produced by the Canadian Meteorological Centre (CMC) are also found to underestimate SD (similar to GFS, CFSv2, and NAM), but are worse than RAP. These results suggest an urgent need to improve SD and SWE initializations in these operational models. © 2016 American Meteorological Society.

Conner J.T.,Idaho Power Company | Tonina D.,University of Idaho
Earth Surface Processes and Landforms | Year: 2014

Two-dimensional (2D) hydrodynamic models have been increasingly used to quantify aquatic habitat and stream processes, such as sediment transport, streambed morphological evolution, and inundation extents. Because river topography has a strong influence on predicted hydraulic conditions, 2D models require accurate and detailed bathymetric data of the stream channel and surrounding floodplains. Besides collection of mass points to construct high-resolution three-dimensional surfaces, bathymetries may be interpolated from cross-sections. However, limited information is available on the effects of cross-section spacing and the derived interpolated bathymetry on 2D model results in large river systems. Here, we investigated the effects of cross-section spacing on flow properties simulated with 2D modeling at low, medium and high discharges in two morphologically different reaches, a simple (almost featureless with low sinuosity) and a complex (presenting pools, riffles, runs, contractions and expansions) reach of the Snake River (Idaho, USA), the tenth largest river in the United States in terms of drainage area. We compared the results from 2D models developed with complete channel bathymetry acquired with multibeam sonar data and photogrammetry, with 2D model results that were developed using interpolated topography from uniformly distributed transects. Results indicate that cross-sections spaced equal to or greater than 2 times the average channel width (W*) smooths the bathymetry and suppresses flow structures. Conversely, models generated with cross-sections spaced at 0.5 and 1 W* have stream flow properties, sediment mobility and spatial habitat distribution similar to those of the complete bathymetry. Furthermore, differences in flow properties between interpolated and complete topography models generally increase with discharge and with channel complexity. © 2013 John Wiley & Sons, Ltd.

Coal is loaded into a truck at the Jim Bridger Mine, owned by energy firm PacifiCorp and the Idaho Power Company, outside Point of the Rocks, Wyoming March 14, 2014. Coal companies are responsible for spent mines and they typically use cash, bonds or other financing to cover future cleanup costs. But some of the largest producers use self bonds, which are not backed by concrete collateral, to insure such costs. Regulators worry those costs could fall to taxpayers if the companies fail.The coal industry has roughly $3.6 billion in future cleanup costs covered by self bonds and the Government Accountability Office should review the program, the lawmakers wrote. U.S. Senators Maria Cantwell of Washington and Dick Durbin of Illinois are seeking an "audit of self-bonding" in the coal industry and a review of how the oil, gas and mineral sectors protect taxpayers from cleanup costs. The Government Accountability Office is an independent, non-partisan investigative arm of Congress. Interior Department Secretary Sally Jewell told Congress last month that self-bonding was "a very significant problem and a risk to the taxpayer" in light of coal industry woes and bankruptcies for Arch Coal and Alpha Natural Resources. The coal industry has been hurt by oversupply, competition from natural gas and weak export demand. Arch and Alpha have sought to jettison cleanup liabilities in bankruptcy court and Jewell said officials would not tolerate such maneuvers. While federal officials conceived self-bonding decades ago, coal-producing states are largely left to administer a program that some still defend. Last week, Illinois told the Interior Department it would allow Peabody Energy Corp to continue to self bond about $100 million in future cleanup costs. If Illinois and other coal-producing states were to revoke Peabody's self bonds, the cash-strapped company might need private financing to underwrite about $1.38 billion in liabilities not now backed by collateral. Peabody reported about a $2 billion loss last year and has struggled to sell some western mines to raise cash.

Tessendorf S.A.,U.S. National Center for Atmospheric Research | Boe B.,Weather Modification Inc. | Geerts B.,University of Wyoming | Manton M.J.,Monash University | And 2 more authors.
Bulletin of the American Meteorological Society | Year: 2015

The 20th Conference on Planned and Inadvertent Weather Modification held in Phoenix from 6-8 january, 2015, discussed winter orographic cloud-seeding research and operations. Cloud modeling research in particular has been aided by greatly increased computational capabilities, as well as the development of a silver iodide cloud-seeding parameterization in the Weather Research and Forecasting (WRF) model. On the logistical and public relations front, funding and improving public per?ception of cloud seeding were identified as continual challenges. Moreover, there needs to be continuity in the management of these projects in order to maintain consistent, well-designed operations. The Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE) field program has been proposed as a collaboration among several of the panelists to the National Science Foundation in order to collect cutting-edge in situ and remote sensing measurements within winter orographic clouds seeded from the air and from the ground. A sustained experiment is really needed for this to happen, and therefore the panelists suggested the need for a well-instrumented watershed as a test bed that would be maintained for many years.

Papic M.,Idaho Power Company | Ciniglio O.,Idaho Power Company
IEEE Power and Energy Society General Meeting | Year: 2013

This paper addresses the development of a risk-based contingency analysis for planning and operating a transmission system. The primary focus of the paper is on assessing power system performance following the consecutive loss of two bulk transmission elements (n-1-1 contingency analysis). The developed approach can be extended to perform the risk-based analysis of other types of contingencies (n-1, n-2, and n-k) used in planning and operation; this approach can use various types of system adjustments as mitigation measures depending on the types and values of post-contingency limit violations. In this paper, we assume generation rescheduling and/or load curtailment are available for mitigation, and these adjustments are given the highest priority. The suggested approach is a further enhancement of the present deterministic approach used by Idaho Power in performing North Electric Reliability Corporation (NERC) compliance studies. Contingency probability, an essential element for risk calculation, was estimated from historical outage data captured and archived by the Idaho Power Generation and Transmission Outage Reporting System (GATOR). © 2013 IEEE.

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