ROOFTOP SOLAR POTENTIAL & SOCIAL EQUITY IN LOS ANGELES Madeline Wander UP 206A Final Presentation on March 14, 2011

Rooftop Solar Potential in Los Angeles o Reduce tenant and owner utility costs o Create jobs for workers in Los Angeles o Provide a new revenue stream Photo Source: UCLA Luskin Center website affairs/ucla-research-solar-energy-prompts-coalition-campaign-rooftop-solar Rooftop solar has the potential to:

A Solar Feed-In Tariff Program for Los Angeles o A Solar FiT Program would enable residents and businesses to install solar panels and sell the power generated by the panels back to the electrical grid o The Program for Environmental & Regional Equity (PERE) is working with the UCLA Luskin Center and the LA Business Council to create a vision of a solar rooftop program in Los Angeles Photo Source:

Project Objectives PERE is working with the UCLA Luskin Center and the LABC to: o Identify rooftop capacity of multi-family and industrial/commercial buildings in Los Angeles o Better understand the potential equity considerations of this effort for tenants, homeowners and workers Photo Source:

Central Questions o Where does multi-family, industrial and commercial solar potential exist in Los Angeles, and where is solar potential clustered? o What are the income levels and unemployment rates of the neighborhoods surrounding potential solar sites? o Where are the PV solar installation training programs in relation to potential solar sites? o Which potential sites would maximize benefits to low- income tenants/homeowners and workers trained to install rooftop solar?

Solar Equity Index Weight (for each variable) Number of Employment Opportunities (# of Potential MF Solar Sites) Number of Employment Opportunities (# of Potential Ind/Comm Solar Sites) Median Household Income Level Unemploy- ment Rate Distance from Closest Training Facility 3>10> 25< $21,954> 12.4%0.1 – 0.5 mile 26 – 1011 – 25$21,955 – $24,8509 – 12.3%0.51 – 3 miles 13 – 55 – 10$24,851 – $41, – 8.9%3.1 – 5 miles 0< 3< 5> $41,400< 7%> 5.1 miles Solar Equity Index = Weighted Number of Employment Opportunities (MF or Ind/Comm) + Weighted Median HH Income + Weighted Unemployment Rate + Weighted Distance from Closest Facility

Modeling Model 1 – Feature to RasterModel 2 – Reclassify Raster

Metadata

GIS Skills: o Network Analyst

GIS Skills: o Hotspot Analysis o Spatial Analysis o Created an Index o Geocoded o Geoprocessing (Dissolved, Clipped) o Aggregated Attribute Fields o Inserted a Chart

GIS Skills: o Attribute Sub-Selections o Residential Parcels – Layer: SolarParcels_ ; "USE_TYPE" = 'Residential’ o Multi-Family Parcels – Layer: SolarParcels_ _Residential; "USE_DESCRI" = 'Five or more apartments‘; "USE_DESCRI" = 'Four Units (Any Combination)‘; "USE_DESCRI" = 'Rooming Houses‘; "USE_DESCRI" = 'Three Units (Any Combination)‘; "USE_DESCRI" = 'Two Units‘ o Multi-Family Parcels > 50 KW – Layer: SolarParcels_ _Residential_MF; "SYS_SIZE" > 49.9 o Commercial and Industrial Parcels – Layer: SolarParcels_ ; "USE_TYPE" = 'Commercial'; "USE_TYPE" = 'Industrial’ o Commercial and Industrial Parcels > 50 KW – Layer: SolarParcels_ _Ind_Comm; "SYS_SIZE" > 49.9