Battery Storage ROI Modeling
With the advent of the Sandy Storm of 2012, and the ongoing threat of power reliability issues related to new hurricanes, cyber security and the aging electric grid, Microgrids and other sources of more reliable power have become a priority of many large commercial, multi-tenant residential, hospitals and other large power users. It is highly recommended to complete a detailed feasibility study when evaluating battery storage, renewable energy sources, Co-Gen and other potential components of a more reliable power system. While the benefits of these investments cannot always be clearly identified and measured in cost savings or ROI, an evaluation of the local utility tariffs can provide a starting point for potential savings, in particular related to the cost savings in On-Peak Demand Charges.
This presentation will provide the profile of an actual large power user and provide examples of the peak kW demand potential savings based on various sizes of battery storage systems installed. A summary will be provided which end-users can apply to being their own internal ROI evaluations.
Date and Time
Location
Hosts
Registration
- Date: 26 Sep 2017
- Time: 05:00 PM to 07:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- 4 Irving Place
- New York, New York
- United States 10003
- Room Number: The Annex
- Starts 13 September 2017 08:00 AM
- Ends 26 September 2017 12:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- 3 in-person spaces left!
- No Admission Charge
Speakers
Gabriel Paoletti, P.E.
Battery Storage ROI Modeling
With the advent of the Sandy Storm of 2012, and the ongoing threat of power reliability issues related to new hurricanes, cyber security and the aging electric grid, Microgrids and other sources of more reliable power have become a priority of many large commercial, multi-tenant residential, hospitals and other large power users. It is highly recommended to complete a detailed feasibility study when evaluating battery storage, renewable energy sources, Co-Gen and other potential components of a more reliable power system. While the benefits of these investments cannot always be clearly identified and measured in cost savings or ROI, an evaluation of the local utility tariffs can provide a starting point for potential savings, in particular related to the cost savings in On-Peak Demand Charges.
This presentation will provide the profile of an actual large power user and provide examples of the peak kW demand potential savings based on various sizes of battery storage systems installed. A summary will be provided which end-users can apply to being their own internal ROI evaluations.
Biography:
Gabe Paoletti applies his forty (40+) plus years of electrical power distribution experience to support the electrical power industry. He is a Registered Professional Engineer in NY, PA and DE and has authored and presented numbers technical publications for IEEE and other organizations. He received his BSEE in Electrical Engineering at Drexel University in 1976 (Magna Cum Laude), and an MBA from Rutgers in 2009 (Summa Cum Laude).
Mr. Paoletti has also been on the forefront of many power system innovations and was awarded the IEEE Engineer of the Year Award for 2009 (Northern New Jersey Chapter) for new product and service innovation which improved the efficient distribution of electrical power. He currently provides services such as Project Engineering, Owners Representative and engineering and feasibility studies, including short and long-range strategic planning.
Gabriel Paoletti, P.E.
Battery Storage ROI Modeling
Biography: