Economic analysis case studies of battery energy storage with sam

Where can I find a case study of battery energy storage?

Economic Analysis Case Studies of Battery Energy Storage with SAM This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.

Can a battery lifetime analysis and simulation tool improve demand charge management?

A previous study used the Battery Lifetime Analysis and Simulation Tool (BLAST) developed at the National Renewable Energy Laboratory (NREL) to consider optimizing the size and operation of an energy storage system providing demand charge management. Battery degradation and capital replacement costs were not considered.

How can Sam improve battery life?

The study uses SAM to process subhourly weather and load data, predict PV generation, and automatically dispatch the battery to reduce peak demand charges. The simulations are conducted over a 25 year analysis period to capture full lifetime costs including battery bank replacements.

Is battery energy storage a good investment?

Installation of a lithium-ion battery system in Los Angeles while using the automatic peak-shaving strategy yielded a positive NPV for most system sizes, illustrating that battery energy storage may prove valuable with specific utility rates, ideal dispatch control, long cycle life and favorable battery costs.

Does NREL's system advisor model predict demand charge management?

This study will similarly conduct demand charge management analysis, but will focus on two specific scenarios using NREL’s freely-available System Advisor Model (SAM) tool. SAM links a high temporal resolution PV-coupled battery energy storage performance model to detailed financial models to predict the economic benefit of a system.

Can behind-the-meter storage reduce demand-charge?

Using the manual dispatch strategy proved insufficient for consistently shaving load peaks regardless of location or battery type. It is clear that many details should be considered when evaluating the economic potential of behind-the-meter storage for demand-charge reduction.