Host: Clean Energy States Alliance, DOE through Sandia Labs, NM

Preview: Optimizing the benefits of a photovoltaic (PV) storage system with a battery. The webinar will discuss PNM’s Prosperity Energy Storage Project, which is partly funded through DOE’s Recovery Act Smart Grid Storage Demonstration Program. The project has successfully demonstrated optimizing the storage and delivery of energy using a PV with battery system. The webinar highlights examples of the successful operation, results of the optimization analyses, and lessons learned.

Facilitator: Maria Blais Costello


Dr. Imre Gyuk: Energy Storage Program Manager in the Office of Electricity Delivery and Energy Reliability

PV Solar is attractive as an alternative because it is clean and sustainable. Recent costs of Solar PV have plummeted exponentially leading to soaring production: 8.9GW in US and 10GW in Japan. The choices are rooftop or large solar farm. 50% are large scale (100 MW or more). Problematic issues of solar: peak load patterns don’t match human patterns and intermittency (clouds pass).

Medium size projects (1-5 MW) will smooth the larger installation. But the intermittency and peak issues will require load shifting thus requiring battery banks. The East Penn Manufacturing advanced storage batteries have been extensively tested by PSNM, UNM, Northern NM College, Ecoult, Sandia Labs and US DOE Office of Electricity. An algorithm to predict intermittency and adjust for peak load times was the result of the research discussed.

Dan Borneo: Sandia National Labs, Manage Energy Storage Program ESTAP: To accelerate energy storage commercialization. Goal is to get the states involved in energy storage. Research focuses on reliability and cost effectiveness. Utilize the Clean Energy States Alliance (CESA) Program.

Steve Willard, Project Manager, PNM: Optimization is the focus for smoothing, shaping and arbitrage. Prosperity Project is a 2 year old project that has achieved the goals of dispatchable PV and combined PV for peak shaving with simultaneous load reduction. The goal is to get simultaneous benefits from the battery production. The Prosperity Project model helped to understand the performance, economic and engineering benefits of the systems. This Project developed and tested models as the underlying requirement to understand the algorithm application. The goal was to create (shape, shave) solar as a friendly player on the grid and was accomplished. The data from the Prosperity Project synthesizes a wide variety of data to create an Advanced Calculating Mechanism shared across databases. There is also a cybersecurity database layered on the autonomous, fielded smoothing. There are 228 points of data received every second. Sandia Labs and UNM pretested and allowed for mimicking of the data for smoothing of the algorithm. The algorithm did smooth allowing for dampening the oscillations of the Ultra battery from Ecoult. Tools used were PV meter and irradiance sensors that help to balance load with the size of the system. The LPass factor combined with the sliding energy window are the elements to calculate ramp rates. The Low Pass filter and Load Tap Changer seemed to replicate each other. The end result of the algorithm was a firming of PV  flow that shapes energy into a predictable rectangle of energy that utilities prefer. Current weather forecasting is weak in relation to energy, so a Predictive Mechanism was created from an energy focus rather than a weather focus.

The results present the questions of: Which is the best Stacked Benefit configuration? That will be defined by establishing thresholds of when the peaks occur and how to shape (peak shave) the block of energy for the load, and how to optimize the battery life. Economic benefits are still being modeled through smoothing algorithms and determining optimal battery size.

Lessons Learned: Shifting algorithms are dependent on weather. Smoothing benefits are feeder specific. Economic benefits need to accommodate stacked benefits, and Energy Storage is Great for the Grid and support Distributed Generation.

Summary: At the Medium Project level Firming and Peak Shaving replaces MMPP to allow for reliability to schedule energy for utilities that match the Feeder Load Profile. The portfolio of storage devices work for different scenarios: power work for bursts of power versus storage. Comparing batteries is not a fair study unless you think in the long term. Look in the Energy Storage Guide book to know what is on the market. The Ecoult Ultra battery has an exceptional life. Sandia Labs Energy Storage Testing Laboratory can test a wide variety of battery types. Long term reliability on batteries is currently being gathered.

Resources: The webinar materials can be found at

Listserve of events also available at

Energy Storage Handbook: Available at: Webinar about this archived on the CESA website

DOE International Energy Storage Data Base: 206 projects across the US