TU Delft
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2016/2017 Electrical Engineering, Mathematics and Computer Science EWI Electives Service-Education
Agent-based Energy Markets
Responsible Instructor
Name E-mail
Prof.dr.ir. J.A. La Poutré    J.A.LaPoutre@tudelft.nl
Contact Hours / Week x/x/x/x
Education Period
Start Education
Exam Period
Course Language
Course Contents
This course focuses on balancing supply and demand in future energy systems, especially addressing smart grids, renewable resources, and heavy energy consuming devices. The focus is especially on the role of ICT systems (Information and Communication Technology) and markets therein. The course starts with an overview of principles of smart energy systems and addresses the uncertainty of energy supply by renewable resources, the increasing intensity of demand by e.g. e-vehicles and heat pumps, the limited capacity of distribution networks, and the principle of supply-driven demand. Next, important techniques from power system economics and ICT for balancing supply and demand are addressed, for proper allocation of energy, especially based on multi-agent systems (based on software agents) and economic market mechanisms. Several solutions and approaches are considered, both fundamental (theoretical) as well as practical (applied), and especially considering agent-based approaches. Also, requirements and constraints for the ICT infrastructure are addressed, in order to enable such ICT solutions. In addition, societal aspects are considered, like security of supply, fairness between users, privacy of users, and roles of stakeholders in the energy system. Approaches and techniques of the current state of the art are discussed and compared. Additional aspects for future innovation of the current technologies (especially ICT) are discussed, especially based on requirements in the energy, societal, and business domains.
Study Goals
L01: Describe the principles of smart energy systems with respect to uncertainty of energy supply and supply-driven demand
L02: Apply basic techniques from the power system economics, multi-agent systems, and ICT domains, especially with respect to automated allocation and market mechanisms for energy systems
L03 Describe fundamental as well as practical solutions for supply/demand matching in future energy systems
L04: Relate solutions in the context of societal requirements like security of supply, privacy of users, and fairness between users
L05: Evaluation of solutions with respect to ICT aspects and energy aspects, as well as business, economics, and societal aspects, and can formulate possible desires and innovation possibilities for future solutions.
Education Method
Theory lectures (2 hours/week), self-study
Digital exam & assignment