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ROOFTOP SOLAR POTENTIAL & SOCIAL EQUITY IN LOS ANGELES. Madeline Wander UP 206A Final Presentation on March 14, 2011. Rooftop Solar Potential in Los Angeles. Reduce tenant and owner utility costs Create jobs for workers in Los Angeles Provide a new revenue stream.
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ROOFTOP SOLAR POTENTIAL & SOCIAL EQUITY IN LOS ANGELES Madeline Wander UP 206A Final Presentation on March 14, 2011
Rooftop Solar Potential in Los Angeles • Reduce tenant and owner utility costs • Create jobs for workers in Los Angeles • Provide a new revenue stream Rooftop solar has the potential to: Photo Source: UCLA Luskin Center website http://luskin.ucla.edu/news/school-public-affairs/ucla-research-solar-energy-prompts-coalition-campaign-rooftop-solar
A Solar Feed-In Tariff Program for Los Angeles • 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 • 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: http://www.sanfranciscosentinel.com/?p=17618
Project Objectives • Identify rooftop capacity of multi-family and industrial/commercial buildings in Los Angeles • Better understand the potential equity considerations of this effort for tenants, homeowners and workers Photo Source: http://www.ellabakercenter.org/makinggreenwork/case-studies/jobtrain/ PERE is working with the UCLA Luskin Center and the LABC to:
Central Questions • Where does multi-family, industrial and commercial solar potential exist in Los Angeles, and where is solar potential clustered? • What are the income levels and unemployment rates of the neighborhoods surrounding potential solar sites? • Where are the PV solar installation training programs in relation to potential solar sites? • Which potential sites would maximize benefits to low-income tenants/homeowners and workers trained to install rooftop solar?
Solar Equity Index 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 Raster Model 2 – Reclassify Raster
GIS Skills: • Network Analyst
GIS Skills: • Hotspot Analysis • Spatial Analysis • Created an Index • Geocoded • Geoprocessing (Dissolved, Clipped) • Aggregated Attribute Fields • Inserted a Chart
GIS Skills: • Attribute Sub-Selections • Residential Parcels – Layer: SolarParcels_20110113; "USE_TYPE" = 'Residential’ • Multi-Family Parcels – Layer: SolarParcels_20110113_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‘ • Multi-Family Parcels > 50 KW – Layer: SolarParcels_20110113_Residential_MF; "SYS_SIZE" > 49.9 • Commercial and Industrial Parcels – Layer: SolarParcels_20110113; "USE_TYPE" = 'Commercial'; "USE_TYPE" = 'Industrial’ • Commercial and Industrial Parcels > 50 KW – Layer: SolarParcels_20110113_Ind_Comm; "SYS_SIZE" > 49.9