Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Bits to Energy Lab is dedicated to developing information systems that promote behavior change. Our research includes machine learning to identify behavioral characteristics, theories to explain and predict consumer behavior, and behavioral interventions that lead to desired motivation and support users in their daily decisions. We strive to validate our findings in real-world applications, using IT simultaneously as a research tool and a means to implement our findings.
Decentralized power generation and increasing electrification in the areas of mobility and heating are placing considerable demands on the power grid. Variable loads and local electricity storage can help relieve the load on the grid and thus enable the further expansion of local generation. In order to achieve this, however, a high self-consumption rate must not be rewarded as in the previous system, but rather a high level of grid efficiency. The goal of the project is to enable the low-voltage grid of the future with increased penetration of renewable energy by providing a high grid efficiency and fair cost distribution. The approach aims to steer the customer behavior via dynamic tariffs, which influence the grid load, increase the attractiveness of intelligent control mechanisms and finally promote a socially desirable behavior of the grid participants.
Central to the implementation of the objective is the understanding of the interplay between tariff setting and customer reactivity. For this purpose, market mechanisms as well as static and dynamic tariff models are defined. The basis for modeling and implementation are tools based on optimization and learning algorithms (artificial intelligence) for automated energy management. By optimizing and automating the interactions, the foundation is laid for reliable and cost-efficient grid operation. The results will provide important data and insights for the Swiss electricity system of the future and the future design of the regulatory framework.
At the Bits to Energy Lab, you will focus on market mechanisms and tariff design, user behavior modeling and empirical analysis, and user interaction and impact analysis. You will also contribute to the work of our project partners from ETH's Power Systems Laboratory by helping to develop and analyze smart grid control mechanisms, and from our partner utility company by accompanying the project's field tests.
The 3- to 4-year PhD position is based in the Professorship of Information Management at ETH Zurich, Switzerland. There will be a requirement to take courses at ETH Zurich as part of the PhD training programme.
The following attributes, qualifications, and experience would be highly advantageous:
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Screening of applications will start on October 1st 2021. Applications are accepted until the position is filled.
26-03-2024
Bitte sage uns, wo du ähnliche Stellenanzeigen suchst und vergiss nicht deine E-Mail Adresse anzugeben!