Battery Energy Storage System (BESS) sizing and location

  • Increase the self-consumption of local PVs, avoid load peaks
  • Determine the optimal use-case and location for BESS.
  • Identify possible battery dimensions.
  • Analyse sensitivity to network parameters and consumer behavior.
  • Evaluate economics of use-cases, investment analysis and risks.
  • Assess the environmental impacts (e.g., fire security risks, CO2 footprint, recycling) of various BESS technologies
  • Swiss utility company with rural network and high PV-penetration (Figure)
  • Net export of electricity at noon (PV-surplus), high load peaks during night.
  • How can a battery storage improve the economic operation?
  • Estimation of household profiles using sparse measurements.
  • Load flow analysis, using network data, shows no congestions at potential battery locations.
  • Time series analysis in hourly resolution for whole year to identify the battery dimension for peak-shaving and self-consumption.
  • Economic and investment analysis to determine optimal battery size.
  • Identifying the BESS technology by taking into account the utility considerations on environmental impacts.
  • Contacting vendors, collecting and analyzing offers.

Partners: ETHZ (FEN) and a Swiss utility
Duration: pre-study in 2018, main study in 2020
Funding: Swiss utility
Project Leader: ETHZ
Project Team: Dr. Alexander Fuchs

 

JavaScript has been disabled in your browser