Introduction Climate change necessitates a transition of our energy system towards renewable sources. Since the energy transition is too big for a single company to tackle alone, Shell has recently opened the doors of its Energy Transition Campus Amsterdam (
ETCA) to start-ups, scale-ups, academia, and mature companies.Shell believes that digitalisation and AI are critical enablers to support our ambition to be a net zero energy company. We want to reduce our own CO2 emissions and help our customers reduce theirs. ETCA is a frontrunner and an example case of this effort. The campus’ electricity originates from on-site solar panels and Dutch wind farms. Lighting is fully LED-based. Heating is managed via underground hot/cold storage.This project focuses on various aspects of ETCA’s electricity consumption. Data science will play a crucial role and participants will have the opportunity to make a real and direct impact.
Research questions• What kind of power storage (e.g. battery packs) do we need to shave off our peak demand from the grid (grid relief)?
• Can we give recommendations on energy efficiency measures, e.g. building insulation?
• Can we model our base load to serve as a reference for energy improvements?
Project setup
Students joining Shell during the Summer of AI will be challenged to answer the research questions by modelling the electrical structure of ETCA and its main loads. Not all submeter stations are currently able to be logged remotely but more detailed load monitoring can be developed and installed. This project touches upon the various phases of a data science project and has two simultaneous intertwining pillars.
What we expect from you:
• Shell ETCA, Amsterdam (≥ 1 day / week) Virtual (rest of week). Align days within team.
• Commitment: ≥ 4 days per week
• DS/AI/technical students with experience or a strong interest in DS/AI. Permission to work in NL is required
• Internship compensation and travel expenses provided.