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Mathematical Modeling, Simulation and Optimization for Power Engineering and Management 2021 ed. [Kõva köide]

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  • Formaat: Hardback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 682 g, 101 Illustrations, color; 33 Illustrations, black and white; XV, 325 p. 134 illus., 101 illus. in color., 1 Hardback
  • Sari: Mathematics in Industry 34
  • Ilmumisaeg: 03-Feb-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030627314
  • ISBN-13: 9783030627317
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  • Formaat: Hardback, 325 pages, kõrgus x laius: 235x155 mm, kaal: 682 g, 101 Illustrations, color; 33 Illustrations, black and white; XV, 325 p. 134 illus., 101 illus. in color., 1 Hardback
  • Sari: Mathematics in Industry 34
  • Ilmumisaeg: 03-Feb-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030627314
  • ISBN-13: 9783030627317

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.  

 

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-ecient 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.