Description

Book Synopsis

Climate change mitigation requires a reduction of greenhouse gas (GHG) emissions. The main emitter of GHG emissions is the energy sector, which today is based on fossil fuels. To mitigate climate change, we need to transform the energy systems to low-carbon technologies. For this purpose, new energy system designs are required along with appropriate operational strategies. In principle, these new designs and operational strategies can be identified best using mathematical optimization. However, low-carbon technologies impose challenges in solving and assessing the resulting optimization problems.

Low-carbon technologies are volatile, which increase the complexity of optimal synthesis and operation. To cope with the complexity of operational optimization, we develop a time-series decomposition method. The method decomposes the complex, time-coupled operational problem into smaller subproblems, while still providing feasible, near-optimal solutions. For the increased complexity

Optimization of LowCarbon Energy Systems from

    Product form

    £37.39

    Includes FREE delivery

    RRP £43.99 – you save £6.60 (15%)

    Order before 4pm tomorrow for delivery by Wed 24 Jun 2026.

    A Paperback by Ph.D. Baumgartner Dr Nils Julius

    2 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Optimization of LowCarbon Energy Systems from by Ph.D. Baumgartner Dr Nils Julius

      Publisher: Verlag G. Mainz
      Publication Date: 1/31/2021
      ISBN13: 9783958863859, 978-3958863859
      ISBN10: 395886385X
      Also in:
      Technology, Engineering & Agriculture Mechanical engineering

      Description

      Book Synopsis

      Climate change mitigation requires a reduction of greenhouse gas (GHG) emissions. The main emitter of GHG emissions is the energy sector, which today is based on fossil fuels. To mitigate climate change, we need to transform the energy systems to low-carbon technologies. For this purpose, new energy system designs are required along with appropriate operational strategies. In principle, these new designs and operational strategies can be identified best using mathematical optimization. However, low-carbon technologies impose challenges in solving and assessing the resulting optimization problems.

      Low-carbon technologies are volatile, which increase the complexity of optimal synthesis and operation. To cope with the complexity of operational optimization, we develop a time-series decomposition method. The method decomposes the complex, time-coupled operational problem into smaller subproblems, while still providing feasible, near-optimal solutions. For the increased complexity

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account