BESS Sizing Engineer
Would you like to make a difference in the green transition of our energy system?
About Hybrid Greentech
We have deeptech knowledge within energy storage and hydrogen that supports large organizations in the effort to reach 100% renewable energy. We want to make it simple to leverage the full revenue potential for energy storage. We and our customers are in an emerging renewable market that will face 30 fold growth over the coming years.
Hybrid Greentech is a 4-year old company entering the scale-up phase, developing an AI-driven software ecosystem for sizing and real-time optimisation of energy storage, and Power to X solutions in energy markets. We are a team of 10 people with strong domain knowledge in renewable energy, energy storage, machine learning, and AI who want to revolutionise energy storage, grid-scale battery systems, and Power to X flexibility in energy and power markets to balance the generation and the consumption of the electric power systems with large shares of renewable energy.
Electric systems are complex and dynamic but digitization of the sector made access to data which allows to develop data driven methods to operate energy storage systems. Our solution gridhub.ai concentrate all the knowledge gathered by our technical team into a software tool that collects electricity markets, electric grid status and weather data to schedule and operate energy storage systems optimally. Behind the scene, HERA our AI engine forecasts the operation to increase operating profit and extend the energy storage system lifetime.
About the team
You will become part of the Energy Storage team focused on advising Asset Owners through models and technical knowledge at the cutting edge of industry. The wider team operates in the energy sector, developing our virtual power plant.
About the Role
The Role will involve:
Modelling of battery operation: PV-time shift, peak shaving and ancillary service markets.
Analysis of the model sensitivity to the different parameters
Development of solution proposals for customers
Presenting results to at all levels of our customer's stakeholder environment
The successful candidate is experienced in building models that converts data into insights that can advice decision making. He/she has a deep technical expertise in a domain relevant to energy storage. Beyond the technical skills, he/she is a problem solver and has a positive mindset towards challenges and enjoy learning new tools to overcome them.
Python experience of 3+ years
Basic understanding of power markets
Expertise in battery technologies or power converters
Experience in stochastic modelling
Experience with using docker and containerisation
Experience in deploying, managing ML models
Knowledge of Pyomo library
A highly entrepreneurial environment with flat hierarchies and short decision paths.
We value of personal ownership and responsibility of products and processes
- Strong focus on professional and personal growth as well as work/life balance
A team full of talented, purpose-driven people
A tech position with direct feedback from customers
An opportunity to make a difference in the green transition of our energy system
Office location in Roskilde or Aarhus with 15+ travel days/year
Salary package according to qualifications
Send your application through the application form below.
Interviews are conducted on a continous basis, so send your application as soon as possible.
If you want to know more, please contact:
Roar Hestbek Nicolaisen, Energy Storage Expert