Market Organization of Future Energy Systems

Topic

The MODES project addresses fundamental questions surrounding the organization of the Dutch energy market to support and sustain the transition to a CO2-neutral system. A unique feature of this transition is that it involves not just re-engineering physical infrastructure and energy sources but also creating a robust data ecosystem that can enhance the energy system's flexibility, security, and accessibility. To achieve this, MODES brings together a diverse, interdisciplinary team that includes stakeholders from government, industry, network companies, energy cooperatives, and consumer groups. This collaboration ensures that the project's insights and proposed solutions are both practical and sensitive to the needs and values of all participants in the energy ecosystem.

The project’s main data-focused goal, specifically within Work Package 7 (WP7), is to design and implement a data layer within the energy ecosystem that enhances digitalization, optimizes data sharing, and aligns with evolving market and regulatory needs. Data is essential to realizing a flexible and resilient energy market, particularly as the transition increases demand for real-time insights and adaptive management. WP7 will thus address two central questions:

1. Current Data Landscape: How can current trends in data collection, storage, and sharing meet the rising demands of energy digitalization? Moreover, is this data being handled with adequate consideration for fairness, privacy, security, and regulatory compliance?
2. Optimizing Data Use: How can data availability and usage be improved to meet these objectives effectively?

Research Problem

Digitalization in the energy sector has accelerated with the growing integration of renewable energy sources, energy storage solutions, and decentralized energy generation. This evolution requires not only advanced technology but also a coherent data ecosystem that ensures the right data is available to the right stakeholders, under conditions that protect privacy and ensure regulatory compliance. However, several critical challenges stand in the way of achieving this goal:

1. Data Governance and Privacy: Ensuring fair and transparent data handling that respects user privacy while promoting the accessibility of key data to various stakeholders. Today, consumer data and network information are underutilized, with many regulatory and ethical questions remaining unresolved.
2. Data Quality and Interoperability: The fragmented nature of data sources and systems leads to challenges in integrating data across platforms. This lack of interoperability can hinder market efficiency and innovation, as system operators, consumers, and policymakers struggle to access unified, actionable data.
3. Incentive Structures for Data Sharing: There is limited motivation for consumers and companies to share data, particularly when there are perceived risks related to privacy or competitive advantage. Developing incentive mechanisms that encourage voluntary, beneficial data sharing is essential for a well-functioning digital energy market.
4. Data Prioritization: Not all data is of equal value to the energy system, so understanding which types of data provide the most significant benefits is crucial. Prioritizing data based on system impact can guide the development of a streamlined, cost-effective data-sharing framework.

These challenges underscore the research problem that WP7 addresses: how to establish an effective data governance framework that meets the operational needs of a climate-neutral energy system while ensuring that data handling aligns with values like privacy, fairness, and security.

Research Question

Building on the research problem, WP7 seeks to answer the following main research question:

How can an optimized data layer be designed to balance accessibility, privacy, and consumer engagement within the energy market, fostering a robust and adaptive data ecosystem for the Dutch energy transition?

To tackle this question comprehensively, WP7 will also address specific sub-questions:

• Data Governance: What policies and frameworks are necessary to ensure data privacy, ownership, and security while allowing seamless data flow across the energy system?
• Data Valuation and Prioritization: Which data types yield the highest value for system flexibility and consumer interaction, and how can these types be prioritized in collection and integration efforts?
• Incentives for Data Sharing: What mechanisms can be developed to encourage data sharing, both from consumers and businesses, to support system stability and inclusivity?

These questions are critical to ensuring the long-term functionality of the energy data ecosystem. Answering them will provide insights into designing a data layer that enhances the performance of the Dutch energy system, supports fair access to data, and aligns with the values of all participants in the energy transition.

Approach

Optimization, mechanism design, cooperative and non-cooperative game theory, simulation

Required profile

• The candidates should have an interest in energy systems.
• Preferred background: MSc. in Information Systems, Data Analytics, Computer Science, Economics, Operations Research, Industrial engineering, Supply Chain Management, Econometrics, Applied Mathematics, Electrical or Computer Engineering
• Excellent study record; Programming experience;
• International orientation and the capacity to speak and write in English fluently;
• Background in data science, economics, machine learning and optimization is advantageous.
• Commitment and drive to execute excellent PhD Research.

Additionally, all applicants must satisfy the school-level (ERIM) requirements that can be found here.

The application period opens on November 1, 2024 until January 15, 2025.  We encourage applicants to submit as early as possible.

If you have any questions about the formal admission requirements, please contact the ERIM doctoral office: phdadmissions@erim.eur.nl or contact Dr. Yashar Ghiassi-Farrokhfal (y.ghiassi@rsm.nl) or Dr Sameer Mehta (mehta@rsm.nl).

Employment conditions

ERIM offers fully-funded and salaried PhD positions, which means that accepted PhD candidates become employees (promovendi) of Erasmus University Rotterdam. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (CAO).

Erasmus University Rotterdam aspires to be an equitable and inclusive community. We nurture an open culture, where everyone is supported to fulfil their full potential. We see inclusivity of talent as the basis of our successes, and the diversity of perspectives and people as a highly valued outcome. EUR provides equal opportunities to all employees and applicants regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, functional impairment, citizenship, or any other aspect which makes them unique. We look forward to welcoming you to our community.