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MULTI-FAMILY ROOFTOP SOLAR & SOCIAL EQUITY IN LOS ANGELES Madeline Wander UP 206A Midterm Presentation on February 8, 2011.

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Presentation on theme: "MULTI-FAMILY ROOFTOP SOLAR & SOCIAL EQUITY IN LOS ANGELES Madeline Wander UP 206A Midterm Presentation on February 8, 2011."— Presentation transcript:

1 MULTI-FAMILY ROOFTOP SOLAR & SOCIAL EQUITY IN LOS ANGELES Madeline Wander UP 206A Midterm Presentation on February 8, 2011

2 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 Source: UCLA Luskin Center website http://luskin.ucla.edu/news/school-public- affairs/ucla-research-solar-energy-prompts-coalition-campaign-rooftop-solar Rooftop solar has the potential to:

3 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: Examine rooftop capacity of multi-family buildings Better understand the potential equity considerations of this effort Source: http://www.sanfranciscosentinel.com/?p=17618

4 Central Questions o Where does multi-family solar potential already exist in Los Angeles, and where is solar potential clustered? o What are the demographics of the neighborhoods surrounding potential multi-family solar sites? o Which potential sites would maximize benefits to low-income tenants?

5 Westlake: 3.2 sq. miles Total Pop: 122,147 Over 93% of housing is multi-family

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7 “System size” refers to rooftop solar capacity, measured in kilowatts.

8 The Hot Spot Analysis concentrates similar system sizes and highlights extremes. The analysis groups buildings with extremely large system sizes (in dark red) as well as buildings with extremely small system sizes (dark blue). From this analysis, we are able to identify clusters of buildings with high potential solar sites, i.e. the hottest spots.

9 Three Components of Solar Equity Index

10 Solar Equity Index Weight (for each variable) % RenterMedian Household Income Level % People of Color 3> 95%< $21,954> 95% 290 – 95%$21,955 – $24,85090 – 95% 175 – 89%$24,851 – $41,40075 – 89% 0< 75%> $41,400< 75% Sol_Eq_Index = Renter_Cat + Inc_Cat + Race_Eth_Cat

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12 Next Steps o Case Study of Bonnie Brae Village o Expand Hot Spot & Solar Equity Analyses to city (place) and county levels o Conduct a Network Analysis to examine employment opportunities for workers trained to install rooftop solar

13 I used the following skills:  Creating an Inset Map  Aggregating Attribute Tables  Geoprocessing (Clipping, Dissolving)  Hotspot Analysis  Creating an Index  Inserting an Image  Selecting Boundary Sub-sets Selection Method: select features from Target layer(s): Solar Hot Spots Source layer: High_Solar_Equity_Layer Spatial Selection Method: Target layer(s) features are within the Source layer feature

14 I used the following skills:  Selecting Attribute Sub-sets Westlake Block Group Layer – Layer: tl_2009_06_bg00_prj; "TRACTCE00“ = Insert 19 Census Tracts separated by “OR” Residential Parcels – Layer: All_Parcels_Westlake; "USE_TYPE" = 'Residential' Mulit-Family Parcels – Layer: Residential_Parcels_Westlake; "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‘ Solar Hot Spots – Layer: Solar_Hot_Spot_Analysis; "GiZScore" >= 2.58 Solar Equity Hot Spots – "Sol_Eq_Ind" > 8


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