2018
DOI: 10.2172/1434891
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Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States

Abstract: for their reviews and input. We thank Evan Rosenleib and Anand Govindarajan (NREL) for their assistance in processing data. Lastly, we thank Nichole Hanus (Carnegie Mellon University) for providing us with the geocoded school addresses. Opinions represented in this article are the authors' own and do not reflect the view of the U.

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Cited by 40 publications
(39 citation statements)
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“…While high rental rates in low-income neighborhoods and the related misalignment between tenant and landlord interests hinder energy renovations (44), the technical potential is high. For example, rooftop photovoltaics are a suitable technology for more than half of residential buildings in low-income neighborhoods in the United States (45).…”
Section: Discussionmentioning
confidence: 99%
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“…While high rental rates in low-income neighborhoods and the related misalignment between tenant and landlord interests hinder energy renovations (44), the technical potential is high. For example, rooftop photovoltaics are a suitable technology for more than half of residential buildings in low-income neighborhoods in the United States (45).…”
Section: Discussionmentioning
confidence: 99%
“…These systems were constrained to medium-and high-density neighborhoods, where capital costs and distribution losses would be realistic. Two-fifths of homes were outfitted with either photovoltaics or solar water heaters, a moderate estimate for potential US solar coverage (45), with the latter concentrated in the Southwest United States, where solar insolation is highest. We do not explicitly model the proliferation of wind power, although it is implicit in EIA projections for the decarbonizing electricity grid.…”
Section: Methodsmentioning
confidence: 99%
“…The second method is precise but time consuming and is hard to replicate on larger study regions. We opt for a data-driven GIS method that was developed by NREL and vetted in the literature [33][34][35]. We use National Renewable Energy Laboratory (NREL) light detection and ranging (LIDAR) estimates of available rooftop space for 16 000 institutions that are included in NREL's dataset (which account for 12% of all educational institutions in the NCES dataset).…”
Section: Available Pv Roof Space (Figure 1 Step 1)mentioning
confidence: 99%
“…Low-and moderate-income (LMI) residents, nonprofits, and other community-serving entities have been underrepresented in the growing residential solar photovoltaics (PV) market (Barbose et al 2018). Despite significant rooftop PV potential at LMI homes nationwide (Sigrin and Mooney 2018), existing PV adopter incomes average $13,000-$32,000 higher than median income (Barbose et al 2018). This discrepancy is driven in part by the challenges that LMI residents face when pursuing solar, including home ownership status, roof suitability, upfront solar investment costs, and relatively few financing options tailored to this market segment (Cook and Bird 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Although roof suitability will ultimately be determined on a case-by-case basis,Sigrin and Mooney (2018) have estimated PV potential, accounting for some building characteristics, including building age, that can help project developers identify census tracts with higher densities of potentially suitable buildings.…”
mentioning
confidence: 99%