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Satellite Beach Energy - Restructuring the Energy Balance in Satellite Beach, Florida, by Quantifying Solar Energy Production Potential using NASA POWER Data Products and LiDARThe City of Satellite Beach, Florida, has committed to supplying 100% of its energy use from renewable energy, primarily solar, by the year 2050. The team created a methodology for estimating rooftop solar power potential using a high-resolution Light Detection and Ranging (LiDAR) dataset and the NASA Prediction of Worldwide Energy Resources (POWER) dataset to assist Satellite Beach in reaching their solar renewable energy goals. The POWER dataset provides information on direct and diffuse solar irradiation on horizontal surfaces, surface albedo, and effects of local meteorology, such as clouds. The team integrated the solar irradiance data with the LiDAR data to model slope, aspect, and shadowing in the 7 km2 study area to find suitable roof segments for solar panel installation and estimate the solar potential of each segment. This process was supplemented by an analysis of land surface temperature and urban greenness measured through the Normalized Difference Vegetation Index (NDVI) from Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) observations. These metrics serve to target areas for cooling initiatives aimed at reducing Satellite Beach’s overall energy consumption. The team found the total rooftop solar potential throughout the city to be 221,919,330KWh per year with an average annual rooftop photovoltaic, or PV, potential of 55,647KWh per building. As such, the average building could generate over five times the annual energy needs for an average household if PV panels were installed on all viable areas of its roof.
Document ID
20205006733
Acquisition Source
Langley Research Center
Document Type
Other - Summer 2020 DEVELOP Project Summary
Authors
Spencer Nelson
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Katherine Beall
(Science Systems and Applications (United States) Lanham, Maryland, United States)
John Dialesandro
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Julia Marturano
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
August 24, 2020
Publication Date
September 4, 2020
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
WBS: 970315.02.02.01.01
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
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