Author: EI & I Associates
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 84

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Author: United States. Energy Research and Development Administration. Division of Solar Energy
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 140

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Author: Christopher T M Clack
Publisher: Vibrant Clean Energy, LLC
ISBN:
Category : Political Science
Languages : en
Pages : 97

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Book Description
The present study finds that by including the co-optimization of the distribution system, the contiguous United States could spend $473 billion less on cleaning the electricity system by 95% by 2050 and add over 8 million new jobs. The clean electricity system is even cheaper than BAU, without distribution co-optimization to the tune of $88 billion. The findings suggest that local solar and storage can amplified utility-scale wind and solar as well as provide economic stimulus to all regions across the contiguous US. The study finds that wind, solar, storage and transmission can be complements to each other to help reduce the cost to decarbonize the electricity system. Transmission provides spatial diversity, storage provides temporal diversity, and the wind and solar provide the low-cost, emission-free generation. Further, the distributed solar and storage provide local back-up and diversity for consumers to be able to purchase their electricity product without significant alterations to their behavior: in other words, the distributed solar and storage alters demand to supply, without the customers noticing. The study was produced by VCE, for the Coalition for Community Solar Access, Vote Solar, and Local Solar For All. Vibrant Clean Energy, LLC performed all the modeling using the WIS:dom®-P model with nationally recognized publicly available data and assumptions. The executive summary, slide deck white paper, summary spreadsheet, and a press release are provided (a full technical report will be released shortly). Technical documentation for the WIS:dom®-P model can be found here.

Author: U.S. Energy Research and Development Administration. Division of Solar Energy
Publisher:
ISBN:
Category :
Languages : en
Pages : 200

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Author: Renewable Energy and Alternate Use Program (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Shannon Y. S. Hwang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Many plans for decarbonizing society envision future electricity systems that are heavily reliant on wind and solar generation. However, wind and solar resources are variable, and supplying energy reliably and cost effectively requires the use of other technologies. In particular, recent studies suggest that the energy infrastructure capacities required for reliably meeting electricity demand in wind- and solar-heavy electricity systems can be determined by rare periods of particularly low wind and solar power generation. Thus, it is important to better understand the characteristics of such resource shortage events. Better understanding of shortage characteristics can help develop and evaluate methods, such as energy technology development, transmission infrastructure deployment, and demand response, that can reduce the costs of reliably providing wind and solar energy during shortage events. In this work, we identify renewable energy shortages from 1980-2020 with geographical resolution across the continental United States by simulating the operation of cost-optimal systems that use wind and solar power and energy storage to reliably supply electricity. We then explore the characteristics of identified shortages and cost-optimal system operation, and quantify the potential value and limits of approaches that could mitigate the impacts of such shortage events.

Author: U.s. Natural Renewable Energy Laboratory
Publisher: Createspace Independent Publishing Platform
ISBN: 9781542548793
Category :
Languages : en
Pages : 82

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This report quantifies the technical potential of photovoltaic (PV) systems deployed on rooftops in the continental United States, estimating how much energy could be generated by installing PV on all suitable roof area. The results do not exclude systems based on their economic performance, and thus they provide an upper bound on potential deployment rather than a prediction of actual deployment. Although methods have been developed to estimate rooftop PV technical potential at the individual building level, previous estimates at the regional and national levels have lacked a rigorous foundation in geospatial data and statistical analysis. This report helps fill this gap by providing a detailed data-driven analysis of U.S. (national, state, and ZIP-code level) rooftop PV availability and technical electricity-generation potential. First, we use light detection and ranging (lidar) data, geographic information system (GIS) methods, and PV-generation modeling to calculate the suitability of rooftops for hosting PV in 128 cities nationwide-representing approximately 23% of U.S. buildings-and we provide PV-generation results for a subset of these cities. Second, we extend the insights from this analysis of areas covered by lidar data to the entire continental United States. We develop two statistical models-one for small buildings and one for medium and large buildings-that estimate the total amount of roof area suitable for hosting PV systems, and we simulate the productivity of PV modules on the roof area to arrive at the nationwide technical potential for PV. Our analysis of the trends in the suitability of rooftops for hosting PV systems reveals important variations in this key driver of rooftop PV technical potential that have not been captured by previous approaches. Figure ES-1 shows the results-from our statistical modeling grounded in lidar data-for the percentage of small buildings that are suitable for PV in each ZIP code in the continental United States. In the figure we can identify regional trends in the suitability of small building rooftops, with high densities of suitable small buildings in California, Florida, and the West South Central census division. Such trends are also critical to estimating PV technical potential at finer resolution, and our report illustrates this with a high-resolution analysis of 11 representative cities.

Author: United States. Energy Research and Development Administration. Division of Solar Energy
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 0

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Author: United States. Energy Research and Development Administration
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages :

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Author: United States. Department of Energy
Publisher:
ISBN:
Category : Solar energy
Languages : en
Pages : 113

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