Digital Energy Services and Analytics
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Item Continued Operation or Repowering? A Financial Decision Support System for Onshore Wind Turbine Investments(2025-01-07) Wang, Yifan; Kraschewski, Tobias; Heumann, Maximilian; Breitner, Michael H.Wind energy is one of the most promising sources of renewable energy and has gained increasing attention. Nevertheless, as wind turbines age and approach the end of government subsidies, investors face growing exposure to the volatility of the electricity market, underscoring the need for strategic decisions on whether to continue operating, repower, or decommission these assets. Following Design Science Research, we propose a decision support system (DSS) that integrates various modeling and simulation processes to capture market uncertainties, including electricity price, remaining useful life of turbines, and associated costs. These uncertainties are addressed through real options valuation using Least-Squares Monte Carlo simulation to deliver investment strategies. The DSS is further evaluated in a case study of onshore wind turbine investments in Germany. Our results and findings demonstrate that the proposed DSS helps investors optimize investment timing and achieve higher investment returns.Item Risk and Reward: Portfolio-based Dynamic Electricity Tariffs for Leveraging Demand-side Flexibility(2025-01-07) Ameling, Justus; Gust, GuntherElectricity markets still struggle to leverage the flexibility potential of the demand side. Residential customers are either offered fixed tariffs, which do not provide incentives for shifting loads, or fully variable real-time tariffs, which expose them to strong price risks. We present a novel portfolio tariff that balances risk and reward. To assess the effectiveness of this tariff, we conducted simulations using real-world EPEX spot price data, evaluating its impact on different energy services with varying degrees of flexibility, including interruptible and non-interruptible loads. The simulations, driven by model predictive control, allow us to analyze load flexibility, tariff costs, and the risks associated with payment fluctuations. Our findings reveal that even with a small share of variable components in the portfolio tariff, significant flexibility can be unlocked. Customers benefit by substantially reducing their costs while being able to choose the level of risk they are comfortable with. Meanwhile, utility companies can better balance supply and demand and attract a new segment of more flexible customers.Item Introducing the Trust Diamond for Energy Flexibility Provision: On the Tension of Data Verifiability and Privacy(2025-01-07) Babel, Matthias; Ehaus, Marvin; Heess, Paula; Körner, Marc-Fabian; Schick, Leo; Strueker, JensData sharing in a digitalized world is increasingly important, but its inherent tension between data verfiability and privacy limits stakeholders engagement. Data consumers need to confirm the data’s authenticity while providers fear privacy breaches. In the course of the sustainable Energy Transition, this tension also hinders the integration of small-scale flexibility devices in electricity grids. Grid operators must rely on verifiable data for secure operations, while device owners seek to ensure data protection and thus privacy. Based on Action Design Research, we develop a Flexibility Provision Data Flow and propose a conceptual Trust Diamond that leverages wallet-based identity management to ensure verifiability and privacy-preserving data sharing. We derive the design principles of Verifiability through Delegation and Derived Sovereignty and show their applicability for optimized grid operations. This study highlights the importance of Information Systems-based solutions to enhance data sharing and address trust concerns between stakeholders.Item Introduction to the Minitrack on Digital Energy Services and Analytics(2025-01-07) Barros, Alistair; Breitner, Michael H.; Watson, Richard T.; Degirmenci, Kenan