On March 5th, 2010 the UNH Wildcats, Whittemore School of Business, New Hampshire Division of Economic Development and Public Service of New Hampshire hosted a unique afternoon workshop at UNH aimed at building teams, developing effective leaders and stimulating innovation.
The "Wild for Innovation" workshop was developed specifically for New Hampshire business leaders and their teams, and included presentations like this one, on the Green Launching Pad initiative, by George Hurtt and Venky Venkatachalam.
5. and in Support of the State Climate Action Planwww.GreenLaunchingPad.org February 13, 2010
6. Climate Change 2007- The Physical Science Basis March 2, 2010 www.GreenLaunchingPad.org
7. Efficient vehicles Reduced use of vehicles Efficient buildings Efficient baseload coal plants Gas baseload power for coal baseload power Capture CO2 at baseload power plant Capture CO2 at H2 plant Capture CO2 at coal-to-synfuels plant Nuclear power for coal power Wind power for coal power PV power for coal power Wind H2 in fuel-cell car for gasoline in hybrid car Biomass fuel for fossil fuel Reduced deforestation, plus reforestation, afforestation, and new plantations Conservation tillage March 2, 2010 www.GreenLaunchingPad.org Pacala & Sokolow 2004 Science 305:968-972
8. March 2, 2010 www.GreenLaunchingPad.org Summer heat index: How hot summers will “feel” in New Hampshire Northeast Climate Impacts Assessment 2007 Global Biological Change
10. The New Hampshire Climate Action Plan (2009) www.GreenLaunchingPad.org February 13, 2010
11. Technology Accelerators Major challenge facing researchers/startups: Seed stage funding to- develop and test prototypes Conduct market research VCs and funding sources tend to focus on larger, later-stage investments Proof-of-concept centers facilitate and foster exchange of ideas between researchers and industry via mentors www.GreenLaunchingPad.org March 2, 2010
12. Green Launching Pad A competitive grant program in energy technology commercialization that helps the state achieve environmental and economic objectives Grants will assist teams to assess markets, and commercialize new products and services in high-growth energy and energy efficiency markets. Based at UNH and focused on University research NH-based companies and other third parties interested in engaging in technology commercialization efforts may apply for awards with or without faculty researchers www.GreenLaunchingPad.org March 2, 2010
13. Green Launching Pad--Funding Process Projects will address commercialization of energy efficiency, energy conservation, renewable energy, sustainable energy projects, programs, services Projects will result in: Energy savings Emission reduction Business growth Employment growth www.GreenLaunchingPad.org March 2, 2010
14. Teams Consist of entrepreneur, faculty, and students Receive funding (up to $90K each) Receive assistance in: Accelerated business development Mentorship and coaching from experts in scientific, technical, business, legal disciplines Selection is on a competitive basis and done by Advisory Council www.GreenLaunchingPad.org March 2, 2010
15. Application Process & Timeline Request for Proposals released: February 12, 2010 Pre-Proposals due: March 15, 2010 Invitations for Full Proposals: April 1, 2010 Advice and Mentoring of Teams: April 1-16, 2010 Full Proposals due: April 22, 2010 Presentations by Teams: April 22-30 (to be scheduled) Final Selection of Winning Teams: May 1, 2010 www.GreenLaunchingPad.org March 2, 2010
16. Selection Criteria Potential to increase energy efficiency, reduce energy use and lower carbon emissions Potential for economic development, including job creation, growth opportunities Proven/documented capability of technology or service Market feasibility of product/service Experience/capability of team www.GreenLaunchingPad.org March 2, 2010
Figure SPM-7. Solid lines are multi-model global averages of surface warming (relative to 1980-99) for thescenarios A2, A1B and B1, shown as continuations of the 20th century simulations. Shading denotes the plus/minusone standard deviation range of individual model annual means. The number of AOGCMs run for a given timeperiod and scenario is indicated by the coloured numbers at the bottom part of the panel. The orange line is for theexperiment where concentrations were held constant at year 2000 values. The gray bars at right indicate the bestestimate (solid line within each bar) and the likely range assessed for the six SRES marker scenarios. Theassessment of the best estimate and likely ranges in the gray bars includes the AOGCMs in the left part of the figure,as well as results from a hierarchy of independent models and observational constraints (Figs. 10.4 and 10.29)