Across Downstate Institutions with 10 Million in Funding from NYSERDA Overview OBJECTIVE AWARDS SELECTION PROCESS ELIGIBILITY CRITERIA To turn c leantech innovations from academic research labs into strong businesses in New York State ID: 782123
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Slide1
Slide2PowerBridgeNY
is a Collaborative Effort
Across Downstate Institutions, with
$10 Million in Funding fromNYSERDA
Slide3Overview
OBJECTIVE
AWARDS
SELECTION PROCESS
ELIGIBILITY CRITERIA
To turn
c
leantech
innovations from academic research labs into strong businesses in New York State
Validation Phase
Up to $150K in tranche funded for technical proof-of-concept & business validation
Support from Mentors & student teams
Ignition Phase
$50K for company launch & marketing
Cleantech
Innovations
Based on IP from one of the partner institutions
Not for “basic research”
Have identified an entrepreneurial lead (EL)
Annual applications open October 1 and are due November 1
Pre-proposal > full proposal > pitch day
External judging committee (VCs, industry, entrepreneurs)Based on commercial potential
Slide4Guideline on “Eligible Technologies”*
CURRENTLY ELIGIBLE
CURRENTLY
NOT
ELIGIBLE
Transportation
Fuel Production and/or Delivery
Electricity Delivery, Management & Storage
Energy Efficiency (Transportation, Buildings, etc.)
Renewable Energy Generation
Carbon Capture
Sustainable Agriculture
Water Efficiency
Green Chemistry
Waste/Pollution Remediation
Nuclear
Compressed Natural Gas & LNG
Hydrofracking
Clean Coal
*Please email info@powerbridgeny.com
if you are unsure of your eligibility.
Slide5Other Eligibility Requirements
UNIVERSITY IP
Invention Disclosure submitted before pre-proposal
No patent application required
Joint
ownership w/another university is acceptable
NO BASIC RESEARCH
Lab prototype complete before application
End result should be commercial prototype
Ready to be sold to or tested by customers
EL IDENTIFIED
Entrepreneurial Lead
Cannot be both TL & EL
No business experience required
Can be anyone
Salaries for ELs not at the home institution are “subcontracts”
Often EL = graduate student
Slide6All judging is done externally by our diverse panel of Judges, which includes representatives from the government, industry, utilities and venture capital firms.
Slide7Past & Current
Judges
*Returning for Cycle 5
Andrea
Ruotolo
Senior Research Associate
NYS Smart Grid Consortium
Andrew Reid*
Senior Scientist
Con Edison
Ben Sampson
Senior Scientist
GE Ventures
Blake Stevens
Vice President
Harris & Harris Group
Chris Cavanagh*
Director
National Grid
David Cruikshank*
Partner
Arch Ventures
David Dorsey
Associate
Osage University Partners
David Wells
Partner
Kleiner
Perkins NY
Edward Greer*
Manager
DOW Chemical Company
Frank Martino
VP, Operations
Columbia University Facilities
Jake Berlin
Founder
Rethink Energy
Jean-Noel Poirier
Managing Partner
Inventic
Performance Chemicals
John Lee
Analyst
Osage University Partners
Josh Gould
Utility of the Future
Con Edison
Kristin Barbato
VP, Customer Energy Solutions
NYPA
Margarett
Jolly
Director, R&D
Con Edison
Mark Johnson
Smart Cities Chief
Schneider Electric
Mike
Shimazu
Senior Advisor
NYSERDA
Parker White*
Director, Commercial Real Estate
Hannon Armstrong
Rick Robertson
Senior Director
GE Ventures
Serena Lee
Project Manager
Con Edison
Shirley
Speakman
Partner
Cycle Capital
Steve
Kloos
Partner
True North Ventures
Slide8Sample Evaluation Criteria
Include…
Technical Feasibility and Benefits
Energy savings, amount of renewable energy produced, or amount of pollution avoided/cleaned
Demonstrated early-stage proof-of-principle
Ability to execute within available budget
(indirect cost rate included)
Qualifications of the team
Commercial Potential
Market need and size
Competitive landscape
Innovativeness of the proposed solution
Strength of intellectual property
Feedback from mentor
Commitment of the team
Slide9We assign at least one Mentor per team. In total, we have a roster of 100+ potential Mentors & Advisors who come from a variety of backgrounds and may have experience with startups, industry, investing and more.
Slide102018-2019
Application
Process
EARLY
DEC
Full proposal teams selected
FEB 25-26
Bootcamp
Finale (8-week)
EARLY APR
Pitch teams
selected
MID MAY
Projects begin
Mentors &
Advisors
assigned
Weekly Web-Ex Check-ins: Oct-Dec
Negotiate Milestones
Average Application Numbers
28
Pre-
proposals
12
Full
P
roposals
9
Pitches
5
Full Awardees
1
Partial Awardee
Mock Pitch Day
NOV 1
Pre-proposals due
JAN 7-9
Bootcamp kicks off
MAR 15
Proposals due
APR 24
Pitch Day
JAN 31
Bootcamp
Finale (4-week)
DEC
JAN
FEB
MAR
ARP
NOV
Slide11Our
Methodology
NSF Innovation Corps
(I-Corps)
Way to find a viable business model for a startup
Lectures and “skills labs” in combination with active customer discovery
Focus on getting out of the building and conducting 100 customer interviews
Bootcamp for applicants (optional, but strongly encouraged):
4 or 8 weeks starting in January
In-person kickoff (2-3 days) and finale (2 days) with weekly meetings (~2 hours) in between
Business Model Canvas
Awardees required to update monthly
Tool used to track learnings and frame project
Completed BMC will serve as basis for investor pitch and business plan
Slide12A Month in the Life
Slide13Previous Successes
Alan West
Columbia
University
Ironic Chemicals – chemicals
and fuels from electricity and
CO
2
$500K DOE grant based on a pivot conducted under PBNY
Saeed
Jazebi
NYU Polytechnic School of Engineering
HIGHEST (HIGH Efficiency Shielded Toroidal) Transformers
– helps
distribution network operators save energy
SBIR Phase 1 award
Mariusz Bojarski
NYU Polytechnic School of Engineering
Resonant power inverters optimized for highly efficient wireless charging of electric vehiclesExclusively licensed to HEVO Power
Jorge GonzalezCUNYWeatherWatt – Weather-Driven Energy Forecasting System for Commercial Buildings and Energy Managers in Urban AreasPilot test under way at one of the CUNY campuses
Yingchao (Alex) YuCornell UniversityLionano – Advanced Li-ion battery anode material with 3X capacity, 4X lifetime, 3X charging rate, reduced cost
$1M Phase 2 SBIR award$9M Series ARon TabbitasStony
B
rook University
mEAN
Technologies -
Higher Power Density PEM Fuel Cells Using
Nanotechnology
Completed third-party performance validation
$14.8M
Additional Funding Raised
23
Prototypes Completed
17
Companies Incorporated
9
SBIR/STTR Awards
9
Pilots Initiated
Slide14FAQ
What do I have to do to apply?
File
an invention report with your home institution’s tech transfer office
Have a team member eligible to receive funding through the university
Is there a bias towards short-term vs. long-term projects?
No
as long as milestones are met
What does
PowerBridgeNY
expect in return for funding?
No equity stake nor revenue share
No impact on the IP ownership
Can a team apply with more than one application?
Yes, but if more than one pre-proposal is invited to submit a full proposal, the team must select only 1 project to submit
What can I do to make my application better?
Participate in I-CorpsGet a head start on the customer discovery with the free “
How to Build a Startup” courseHow can the funds be spent?
35% indirect cost rateNo subcontracts in excess of 1/3 of the total budgetCan be used for facility fees and services (PBNY will try to subsidize)Not intended for
equipment >$25KCan lease large equipment All equipment purchased will be owned by the home institutionNot intended for marketing materials (e.g. sales brochures, website) or legal fees (these are for Ignition Grant)What if a project is not selected as one of the final awardees? Can the team reapply?
Yes, if feedback is addressedWhere can I find more information?www.powerbridgeny.com/apply
Application materials
Process information
Slide15Institution
Brookhaven National Laboratory
City University of New York
Columbia University
CornellTech
NYU
Stony Brook University
Campus Rep
Lee Cheatham
John
Blaho
Satish Rao
Fernando
Gomez-
Baquero
Chris Snyder
Donna
Tumminello
Campus Rep Email
lcheatham@bnl.gov
jblaho@ccny.cuny.edu
sr3139@mail.columbia.edu
fernando@cornell.edu
c
hristopher.snyder@nyu.mc.org
Donna.tumminello@stonybrook.edu
Tech Transfer Website
www.bnl.gov
/
techtransfer
www.cuny.edu
/research/
ovcr
/
tco.html
www.techventures.columbia.edu
www.cctec.cornell.edu
Oil.med.nyu.edu
/faculty-students
www.stonybrook.edu
/research/
otlir
Questions? Reach out at
info@powerbridgeny.com
or contact your
Campus
Representative.
Sign up to get program updates at
www.powerbridgeny.com
Slide16Appendix: Cycle 1 Awardees
Yingchao
(Alex) Yu
Cornell University
Advanced Li-ion battery anode material with 3X capacity, 4X lifetime, 3X charging rate, reduced cost
Alan Lyons
CUNY
Antireflective
superhydrophobic
self-cleaning films: Reliable materials to increase efficiency of solar panels
Mariusz
Bojarski
NYU Polytechnic School of Engineering
Resonant power inverters optimized for highly efficient wireless charging of electric vehicles
Saeed JazebiNYU Polytechnic School of Engineering
HIGHEST (HIGH Efficiency Shielded Toroidal
) Transformers to help distribution network operators for saving energy
Marc Diaz-AguiloNYU Polytechnic School of EngineeringCable transient ampacity
(C.TrAm) software to monitor temperature of electric cablesYiannis AndreopoulosCUNYBattery replacement module for HVAC sensors
John KymissisColumbia UniversityPlugSTRATE: A low cost, wireless monitor for energy use analysisRoger Anderson
Columbia UniversityUsing machine learning to reduce electricity lost in T&D of electricity for utilities, microgrids, and in buildingsKartik ChandranColumbia UniversityIncreasing energy efficiency of wastewater treatment facilities
Genggeng
Qi
Cornell University
Pilot production of high-efficiency sorbents for cost-effective carbon capture
Alan West
Columbia University
Chemicals and fuels from electricity and CO
2
Lei
Zuo
Stony Brook University
Vibration energy harvester to power trackside electrical railroad infrastructures more efficiently and inexpensively than incumbents
Slide17Appendix: Cycle
2 Awardees
Filip Mlekicki
NYU Polytechnic School of Engineering
Sensor Technology for Groundwater Monitoring Reducing Energy, Lowering Cost, Enhancing Data Quality
Jorge Gonzalez
CUNY
Weather-Driven Energy Forecasting System for Commercial Buildings and Energy Managers in Urban Areas
Ken Birnbaum
NYU Polytechnic School of Engineering
Evolving New Algal Strains to Reduce Production Costs in the Biofuel and Nutraceutical Industries
Ron
Tabbitas
Stony Brook University
Higher Power Density PEM Fuel Cells Using Nanotechnology
Ardavan Yazdanbakhsh
CUNYEnergy Efficient Recycling of Fiberglass Waste for Reuse in Construction
Slide18Appendix: Cycle 3
Awardees
Devinder
Mahajan
Stony Brook University
Catalytic Removal of Hydrogen Sulfide Contamination From Gases
Jeffrey
Laut
NYU
Tandon
School of Engineering
A Clean and Sustainable Robot for Aquatic Applications
Nanfang
Yu
Columbia University Cool roof coatings that reduce production costs by 50% and AC costs by 20%
Ray Sambrotto
Columbia University Energy Efficient, Biologically Mediated Breakdown of Organic Pollutants
Baris Kovan
NYU Tandon School of EngineeringHarmonic Mitigating Power Transformer
Slide19Appendix: Cycle
4
Awardees
Mark
Ebrahim
CUNY
High efficiency solar power pack for outdoors and off-grid renewable energy
applications
Onur
Cakmak
Columbia University
Evaporation-driven generators for hydro-electric to increase electricity and water revenues
Steven Skiena
Stony Brook UniversityReducing energy and maintenance costs in rail freight transportation through video analysis and forecasting
Chris Castro
CUNYA dual-purpose wind/hydro turbine
Slide20Appendix: Cycle 5
Awardees
Brooklyn
BioScience
NYU
Tandon
School of
Engineering
PI: Jin Montclare
An engineered enzyme that breaks down pesticides into products that can be easily removed with
water
LazarOn
NYU Tandon School of
EngineeringPI: Nikhil GuptaOptic Sensors to detect abnormalities in Wind Turbines
SolarClear
Stony Brook
Univrsity Self-cleaning technology that removes dust from Solar Panels
Wind-RiderCity University New York
Robots that provide visual and contact-based inspection of Wind TurbinesBattery Fingerprint TechNYU Tandon School of Engineering
PI: Alexej JerschowMRI-based technology that can diagnose a battery’s health without destroying the battery