Joint Optimization of Electric Vehicle Charging Station Placement and Charge Scheduling
A Public Lecture by Professor Jutta Geldermann
26 February 2026 at 16:15 - 17:15 (Finnish time)
Aalto University Hall M1, Otakaari 1, Espoo
The lecture can be viewed remotely at https://aalto.zoom.us/j/68827434489
Systems Analysis Laboratory
Department of Mathematics and Systems Analysis
Aalto University School of Science
Abstract
Renewable energy sources such as solar and wind substantially reduce greenhouse gas emissions but introduce volatility that complicates the integration of battery electric vehicles. This study examines how this evolving electricity generation mix affects charging infrastructure by introducing a mixed-integer linear programming (MILP) model that simultaneously optimizes charging station placement and vehicle charging schedules.
So far, Charging Station Placement (CSP) and the Electric Vehicle Charge Scheduling Problem (EVCSP) have typically been addressed separately due to their distinct planning horizons. We propose a joint CSP-EVCSP model that integrates infrastructure siting and operational charging optimisation within a unified MILP framework. A key methodological contribution is the use of geographically and temporally resolved mobility data, which increases the realism and applicability of large-scale modelling by matching the movements of hundreds of vehicles with quarter-hourly electricity price forecasts from an energy system model.
The developed model is applied in a 2030 case study for Essen, Germany (population ~580,000), which evaluates alternative infrastructure and scheduling configurations under targets for EV adoption and renewable energy expansion. This approach quantifies cost, infrastructure, and operational implications to inform local policy and investment for sustainable EV integration.
Bio
Prof. Dr. Jutta Geldermann is professor for Business Administration and Production Management at the University of Duisburg-Essen, Faculty of Engineering, since 2018 (https://www.uni-due.de/pom/). After her diploma degree in industrial engineering, obtaining her doctorate and postdoctoral lecturing qualification at the University of Karlsruhe (now KIT - Karlsruhe Institute of Technology), she was Chair Holder and Full Professor of Production and Logistics at the Georg-August-University of Göttingen from 2006 to 2018. During this period, she served as Dean of the Faculty of Business and Economics and as a member of the Board of the Energy Research Center of Lower Saxony (efzn), as well as Head of its Energy Economics Division.
She is currently President of the German Association of Operations Research - GOR (German Association of Operations Research) and Editor-in-Chief of the EURO Journal on Decision Processes (EJDP). From 2023 to 2024, she was President of the German Academic Association of Business Research (VHB), which promotes business administration research and teaching, supports scientific discourse among its approximately 2,900 members, and advocates for strengthening the discipline and enhancing its visibility in the economy and society within German-speaking countries.
Her research focuses on the modelling and optimisation of production and logistics systems, including the use of methods for multi-criteria decision support and life-cycle assessment (LCA). She has successfully conducted more than 60 research projects funded by industry, DFG, Volkswagen Foundation, the European Union (EU) and various ministries.
Participation
This event is open to all interested participants. The lecture will last about 45 minutes, followed by questions and discussions.
On 27 February 2026 at 12:00 - 15:00 (Finnish time), Prof. Geldermann will be the official opponent in the public defence of Jussi Leppinen's doctoral dissertation. The defence will be held in Lecture Hall M1 (Otakaari 1).
Aalto Systems Forum
The growing challenge of our time is the need to understand and to manage wholes, i.e. systems. Problems in technology, economy, organisations and the environment are strongly interconnected, include multiple criteria and evolve dynamically over time. Systems Sciences as a field of scientific inquiry develops tools and approaches which help address these problems.
Aalto Systems Forum provides a platform for a dialogue between practitioners and researchers, based on major research results and accompanying insights which are presented by leading international scholars.
Aalto Systems Forum is organized by the Systems Analysis Laboratory research group at the Department of Mathematics and Systems Analysis of Aalto University School of Science. http://sal.aalto.fi/en/aaltosystemsforum/
