View stunning SlideShares in full-screen with the new iOS app!Introducing SlideShare for AndroidExplore all your favorite topics in the SlideShare appGet the SlideShare app to Save for Later — even offline
View stunning SlideShares in full-screen with the new Android app!View stunning SlideShares in full-screen with the new iOS app!
Solar America Cities“Accelerating Solar Energy Adoption at a Local Level” Otto Van Geet, PE National Renewable Energy Laboratory (NREL) Solar Energy Technologies Program (SETP) U.S. Department of Energy
DOE’s Approach to Solar Market Transformation GOALReduce market barriers to, and promote market expansion of, solar energy technologies through non-R&D activities. Activities
Solar America Cities GOALAccelerate solar adoption in the nation’s electricity load centers by supporting cities’ innovative efforts. Solar America Cities contribute to the President’s energy goals of creating green jobs, building domestic renewable energy capacity, and reducing greenhouse gas emissions
Solar America Cities SELECTION PROCESS Competitive awards granted to cities of 100,000 or more committed to:
and serves as a modelfor other cities to follow.
The 25 Solar America Cities
Solar America City Partnerships Financial Assistance: ~$200,000 per city Technical Assistance: ~$250,000 per city Multi-institutional “tiger teams” of solar experts provide tailored assistance based on city’s needs
Discussion/Conclusion time of use (TOU) rates provide the most savings to grid connected PV systems where the system peak is coincident with the utility peak, when the utility places the highest value on reduced consumption increased demand charges relative to energy charges do not increase the economic value of these two solar systems (because the system performance may be compromised in one 15-minute interval and all benefit of the demand savings are lost) changes in peak timing did not have a major effect on the economics of the system over the course of a year (because the rates tested all had peak times coincident with high PV production, changes in the peaks did not have an impact)
Roof Estimate - Residential 2002 American Housing Survey (AHS) for San Diego Metro Area Residential building area and number of stories by different characteristics Attributes Used: Value Lot Size
Roof Estimate - Residential Build statistical relationships between AHS data to build estimates by parcel size and value Relationship driven to median/higher proportion occurrences Explored use of Census demographic variables but better estimates were generated through parcel specific data Doesn’t account for property specific shading issues
Contact Information:Otto Van Geet NRELEmail: Otto.email@example.com Phone: 303-384-7369 on the web: SolarAmericaCities.energy.gov Sign up for SETP quarterly newsletter by emailing: firstname.lastname@example.org Slide 20 Thank You