PV-ESS system optimization to maximize self-consumption of PV-generated in KTH live-in lab
In this project a battery system will be integrated in the KTH live-in lab and be coupled with the already installed solar panels in the building.
Background
We are looking for a master thesis student to support in system integration and optimization of an integrated PV ESS storage for the research project “A turnkey solution for Swedish buildings through integrated PV electricity and energy storage” a cooperation between KTH, Northvolt and Einar Matson. In this project you will focus on supporting the integration a battery system in KTH live-in lab and optimize it to maximize self-consumption of PV generated electricity.
Cities are responsible for a 70% share of global CO2 emissions. Therefore, there is a high potential for emissions reduction in improving the energy footprint of urban built environments. Since cities are very dynamic and dense ecosystems, they offer numerous options that can be developed to reach the climate targets. Photovoltaic (PV) systems are a promising technique for increasing the amount of green energy in urban environments. However, the increase of non-dispatchable energy inserted to the grid sets a new scenario for the supply of electricity. If the amount of intermittent energy sources exceeds a certain percentage of the total generated electricity in the grid specific energy mix it might be problematic to maintain the capability of supplying a smooth and adjustable. Therefore, self-consumption of the PV-generated electricity is of high importance for the electric grid as is today. One promising option is the integration of solar PV coupled with energy storage systems (ESS).
Aim
In this project a battery system will be integrated in the KTH live-in lab and be coupled with the already installed solar panels in the building. The system will be installed during the spring of 2022. To optimize the use of the battery the master thesis student is to take already built PV-ESS simulation models and combine with data of the energy profile of the building find the most suited user case to optimize the self-consumption of the PV-generated electricity and then to validate the model with the physical system installed in the KTH live-in lab.
Milestones
- Adaptation and optimization of python-based model for real life PV-ESS system in KTH live-in lab.
- Take part of installation of system and educations for system use from system integrator. (Planned in February)
- Gather data from KTH live-in lab over the years.
- Design user case to optimize self-consumption of electricity generated from PV sells in house.
- Verify the model on installed system live in lab system.
Time frame
Project start is flexible between 10th of January and 1st of February, the project is recommended not to exceed 6 months.
Supervisors
Linda Lundmark , industrial PHD student, Project manager Northvolt