03933oam 2200493 450 991048298000332120210626152052.03-030-62732-210.1007/978-3-030-62732-4(CKB)4900000000508949(DE-He213)978-3-030-62732-4(MiAaPQ)EBC6468522(PPN)253859255(EXLCZ)99490000000050894920210626d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMathematical modeling, simulation and optimization for power engineering and management /Simone Göttlich, Michael Herty, Anja Milde, editors1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (XV, 325 p. 134 illus., 101 illus. in color.) Mathematics in industry ;Volume 343-030-62731-4 Includes bibliographical references.Part 1 : Economic Aspects -- Chapter 1. Modeling the Intraday Electricity Demand in Germany -- Chapter 2. Application of continuous stochastic processes in energy market models -- Chapter 3. Probabilistic analysis of solar power supply using D-vine copulas based on meteorological variables -- Part 2: Technical Applications -- Chapter 4. Given – Shape Optimization for Gas Turbines in Volatile Energy Networks -- Chapter 5. Using the Stein Two-Stage Procedure to Calculate Uncertainty in a System for Determining Gas Qualities -- Chapter 6. Energy-efficient High Temperature Processes via Shape Optimization -- Chapter 7. Power-to-Chemicals: A Superstructure Problem for Sustainable Syn-gas Production -- Part 3: Energy Networks -- Chapter 8. Optimization and Stabilization of Hierarchical Electrical Networks -- Chapter 9. New Time Step Strategy for Multi-Period Optimal Power Flow Problems -- Chapter 10. Reducing transmission losses via reactive power control -- Chapter 11. MathEnergy – Mathematical Key Technologies for Evolving Energy Grids -- Chapter 12. Modeling and simulation of sector-coupled energy networks: A gas- power benchmark -- Chapter 13. Coupling of Two Hyperbolic Systems by Solving Half-Riemann Problems -- Chapter 14. District Heating Networks – Dynamic Simulation and Optimal Operation.This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly. .Mathematics in industry ;Volume 34.Electric powerGermanyMathematical modelsElectric powerMathematical models.620.00151Göttlich SimoneHerty MichaelMilde AnjaMiAaPQMiAaPQUtOrBLWBOOK9910482980003321Mathematical modeling, simulation and optimization for power engineering and management2831295UNINA01441nam 2200457 450 991015900680332120200520144314.00-8093-8796-4(CKB)3710000001018539(MiAaPQ)EBC4786323(Au-PeEL)EBL4786323(CaPaEBR)ebr11330560(CaONFJC)MIL987998(OCoLC)968767178(EXLCZ)99371000000101853920170127h20062003 uy 0engurcnu||||||||rdacontentrdamediardacarrierChicago death trap the Iroquiois theatre fire of 1903 /Nat Brandt ; with an introduction by Perry R. Duis and Cathlyn SchallhornCarbondale, [Illinois] :Southern Illinois University Press,2006.20031 online resource (241 pages) illustrations, photographs0-8093-2721-X Includes bibliographical references and index.FiresIllinoisChicagoHistory20th centuryChicago (Ill.)History1875-FiresHistory977.3/11041Brandt Nat1380023Duis Perry R.Schallhorn CathlynMiAaPQMiAaPQMiAaPQBOOK9910159006803321Chicago death trap3420835UNINA01635nam 2200433Ia 450 991069800700332120090303160453.0(CKB)5470000002394937(OCoLC)311868506(EXLCZ)99547000000239493720090303d2001 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierComparisons of ballistic trajectory simulations using artillery meteorological messages derived from local balloon data and battlescale forecast model data for the 1998 SADARM IOT&E firings[electronic resource] /by Terry C. Jameson, Saba A. Luces, Dave Knapp[Adelphi, MD] :Army Research Laboratory,[2001]vii, 40 pages digital, PDF fileARL-TR ;1018Title from title screen (viewed March 3, 2009)."November 2001."Includes bibliographical references (page 33).BallisticsArtilleryBalloonsBallistics.Artillery.Balloons.Jameson Terry C1405751Luces Saba A1405752Knapp Dave1405753U.S. Army Research Laboratory.GPOGPOBOOK9910698007003321Comparisons of ballistic trajectory simulations using artillery meteorological messages derived from local balloon data and battlescale forecast model data for the 1998 SADARM IOT&E firings3482899UNINA