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Published on November 24th, 2019 | by The Beam

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Installing Inequality: The Racial Disparities In Solar Deployment

November 24th, 2019 by  


The Beam

By Deborah Sunter (Tufts University), Sergio Castellanos, and Prof Daniel Kammen (University of California, Berkeley)

The possibility of installing solar photovoltaics (PV) distributed on rooftops has allowed communities to actively participate in molding the future of sustainable cities. Solar PV owners also experience significant economic benefits in the form of tax credits, rebates, and lower net electricity consumption from utilities, leading to lower electricity bills. It comes at no surprise that the rooftop PV has surpassed 300 GW of installed capacity worldwide, with trends on the rise.

Image © Project Sunroof/Google

In the United States, more than a million rooftops already have solar PV systems on them, with the numbers continuously expanding, contributing to the achievement of bold initiatives to fully decarbonised states’ power sectors, such as those in California, Hawaii, and New York.

Unequal access to clean energy

Unfortunately, this growth has not benefited everyone equally. We recently published a study in Nature Sustainability with a worrying trend: there are racial disparities found in rooftop solar PV deployment in the United States.

Environmental and energy injustices have long been identified as a hurdle in dealing with climate change. In the words of Mary Robinson, former United Nations Secretary-General’s Special Envoy on Climate Change, “we must simultaneously address the underlying injustice in our world and work to eradicate poverty, exclusion and inequality.”

What the data says

We leveraged a collaborative effort with Google’s Project Sunroof team, who map rooftop solar PV potential across 60 million rooftops in the United States. Combining Google’s Project Sunroof’s location of existing rooftop solar installations across the US with demographic data such as household income, homeownership, and ethnicity and race, from the US Census Bureau’s American Community Survey, we were able to explore trends across census tracts with and without solar rooftop PV installed while controlling for median household income.

47% of black neighborhoods had no existing rooftop solar systems versus 21% of white neighborhoods. In this graph*, we see the relationship between household income and rooftop PV installation by race and ethnicity. (a) Histogram of the distribution of census tracts analyzed at intervals of US$5,000. (b,c) Rooftop PV installations relative to the available rooftop PV potential and normalized by the state as a function of the median household income for majority census tracts in absolute values (b), and normalized relative to the rooftop PV adoption of no majority census tracts (c). Each color represents a race or ethnicity that holds the majority in a set of census tracts. Dark continuous curves represent our results after being fitted through a weighting algorithm. Lighter shading represents the 90% confidence interval range where the installation parameters fall after 1,000 sampling iterations for each predominant race or ethnicity in that census tract.

We present here the 3 most revealing elements of our findings.

  1. For the same household income, black-majority census tracts — or neighborhoods — have installed up to 69% less rooftop PV than no-majority census tracts (neighborhoods where no single race or ethnicity makes up the majority). Hispanic-majority census tracts have installed up to 30% less rooftop PV than no-majority census tracts. Meanwhile, white-majority census tracts have installed 21% more rooftop PV than no-majority census tracts.
  2. When correcting for homeownership, black- and Hispanic-majority census tracts have installed less rooftop PV compared to no-majority tracts by 61% and 45%, respectively, while white-majority census tracts installed 37% more.
  3. Nearly half of all black-majority census tracts had no existing rooftop solar systems. This is nearly twice that of any other racial or ethnic group in the study.

Percentages of each census tract with and without existing rooftop photovoltaic installations. In the census tracts listed, at least 50% of the population self-identified as a single race or ethnicity.*

Put in other words, if you were to drive through a neighborhood (at any income level), chances are the installed PV you would see on a given rooftop, would most likely be on a white-rented or white-owned household.

The need for more inclusive energy infrastructure policy

Plenty of questions still remain open, for example, how has a systematic disparity developed? Have approaches from NGOs focused on certain demographics been successful in recent years? Our project identifies this inequality and does so in a given point in time. We recognize the urgency to conduct more research to help determine the root causes of the differences and track the evolution of policy interventions over time. However, already these findings can be useful in developing better and more inclusive energy infrastructure policy and outcomes, including as part of the evolving ‘Green New Deal’, and programs at the state and federal level.

It is exciting that advances in remote sensing and in ‘big data’ science is enabling researchers across the world to increase the resolution and level of sophistication in diagnostic studies that can allow stakeholders to think more deeply about the effectiveness and inclusiveness of current policies and approaches to accelerating solar PV deployment and fighting climate change.

Sergio Castellanos is a Researcher in the California Institute for Energy and Environment and the Energy and Resources Group at the University of California, Berkeley, where he also leads the Berkeley-México Energy and Climate Change Initiative. Besides energy justice, his current research focuses on electrical grid planning, sustainable transportation, and competitive clean tech manufacturing. He holds a PhD in Mechanical Engineering from the Massachusetts Institute of Technology. 

Deborah A. Sunter is an assistant professor at Tufts University. She holds a PhD from the University of California, Berkeley and was formerly an AAAS Science and Technology Policy Fellow at the U.S. Department of Energy and a Data Science Fellow at the Berkeley Institute for Data Science. Using computational modelling and data science techniques, her research explores the interface of technology innovation and policy for improved environmental sustainability and social justice. Twitter: @DeborahSunter

Professor Daniel Kammen is the Chair of the Energy and Resources Group, and Professor in both the Goldman School of Public Policy, and in the Department of Nuclear Engineering at the University of California, Berkeley. He served as the Chief Technical Specialist for Renewable Energy and Energy Efficiency at the World Bank, and Science Envoy for the US State Department. He contributed to the 2007 Nobel Peace Prize awarded to the Intergovernmental Panel on Climate Change. Twitter: @dan_kammen

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