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Online Decision Support for Offshore Wind Farm Installations

  • 2026
  • Buch

Über dieses Buch

Offshore wind farms are major contributors to sustainable energy generation. However, their installation is highly weather-dependent, making the planning of costly resources, like jack-up vessels or port spaces, challenging. While existing models support strategic and tactical planning, there is a lack of effective decision support at the operational level.

To close this gap, this book presents an innovative online scheduling methodology based on a Model Predictive Control scheme. This approach combines Mixed-Integer scheduling models with control theory and a novel probabilistic method for integrating forecast uncertainty into operational planning. The resulting decision support system doesn't only enable reactive and weather-informed operational planning but also supports tactical and strategic decisions based on historical data. Simulation studies demonstrate significant potential: a reduction in variable costs of up to 9% and clear advantages over existing robust or control-based approaches in terms of planning reliability, cost efficiency, and responsiveness.

Inhaltsverzeichnis

  1. Frontmatter

  2. Chapter 1. Introduction

    Daniel Rippel
    Abstract
    This chapter briefly introduces this thesis by summarizing its motivation, goals, and research questions. While these parts mainly constitute summaries of later chapters’ results, this introduction also presents the overall research methodology, the structure of this thesis, and a list and discussion of previously published research that directly ties into this thesis.
  3. Chapter 2. Process Description and Requirements

    Daniel Rippel
    Abstract
    This chapter introduces the general process for the installation of OWFs. Section 2.1 presents general trends and developments within the wind energy sector. These trends show a steady, worldwide increase in the production of renewable energy and, in particular, in offshore wind energy, resulting in an increasing share of renewable energy in worldwide energy production.
  4. Chapter 3. Methodological Basics

    Daniel Rippel
    Abstract
    As noted in the last chapter’s conclusion, this thesis applies methods from the areas of control theory and scheduling, particularly MPC and MILP, to propose a methodology that can act as DSS for the installation of offshore wind farms. Consequently, the following sections provide a short introduction to these topics to justify selecting these particular methods. Section 3.1 first introduces different types of DSS and discusses their characteristics.
  5. Chapter 4. State of the Art

    Daniel Rippel
    Abstract
    Following the introduction of various methods and techniques in the last chapter, this section presents the results of several literature reviews on the methodological background and state of the art in the application domain. These reviews aim to identify other approaches in the literature that either apply a similar methodological mix or focus on the same area of application. The results show that no applications could be identified in the literature that satisfy the functional requirements defined in Sect. 2.4.
  6. Chapter 5. Design of the Decision Support System

    Daniel Rippel
    Abstract
    Following the description in Sect. 2.3, the planning of offshore wind farms comprises several stages, ranging from strategic tasks, like the network and capacity planning, down to operative tasks, like the scheduling of vessels and operations. While this thesis focuses on providing a DSS for decision support on the operative level, it also evaluates if, and under which assumptions, the underlying methodology supports higher-level tasks as well. Planning tasks on different levels rely on each other, either by requiring estimations from lower-level tasks or by providing constraints for theses.
  7. Chapter 6. Prototypical Implementation

    Daniel Rippel
    Abstract
    This chapter shortly presents the main aspects of the DSS’s implementation used for this thesis. Therefore, it first presents relevant aspects of the implementation of the underlying methodology itself in Sect. 6.1. These aspects mainly cover different settings and modes for the optimizer.
  8. Chapter 7. Experimental Setup and Base-Scenario

    Daniel Rippel
    Abstract
    This chapter describes the experimental setup used to evaluate the proposed DSS, the underlying methodology, and its components. It first presents the base-scenario used throughout the evaluation in Sect. 7.1. This base-scenario follows a realistic use-case described in the literature and extends it with additional openly available information.
  9. Chapter 8. Experimental Results

    Daniel Rippel
    Abstract
    This chapter presents the results of various experiments regarding the three areas stated in the previous chapter.
  10. Chapter 9. Conclusion

    Daniel Rippel
    Abstract
    This chapter summarizes and discusses the proposed DSS and its underlying MPC-based methodology. Therefore, it reflects the last chapter’s results regarding the imposed requirements in Sect. 9.1. Afterward, it presents a discussion of the research questions in Sect. 9.2 before it closes with a discussion of possible future work and open questions in Sect. 9.3.
  11. Backmatter

Titel
Online Decision Support for Offshore Wind Farm Installations
Verfasst von
Daniel Rippel
Copyright-Jahr
2026
Electronic ISBN
978-3-658-49912-9
Print ISBN
978-3-658-49911-2
DOI
https://doi.org/10.1007/978-3-658-49912-9

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