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contributor authorGamarro, Harold
contributor authorGonzalez, Jorge E.
contributor authorOrtiz, Luis E.
date accessioned2019-06-08T09:28:18Z
date available2019-06-08T09:28:18Z
date copyright3/29/2019 12:00:00 AM
date issued2019
identifier issn0195-0738
identifier otherjert_141_06_061203.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4257512
description abstractRecent developments in the weather research and forecasting (WRF) model have made it possible to accurately estimate incident solar radiation. This study couples the WRF-solar modifications with a multilayer urban canopy and building energy model (BEM) to create a unified WRF forecasting system called urban WRF–solar (uWRF-solar). This paper tests the integrated approach in the New York City (NYC) metro region as a sample case. Hourly forecasts are validated against ground station data collected at ten different sites in and around the city. Validation is carried out independently for clear, cloudy, and overcast sky conditions. Results indicate that the uWRF-solar model can forecast solar irradiance considerably well for the global horizontal irradiance (GHI) with an R2 value of 0.93 for clear sky conditions, 0.61 for cloudy sky conditions, and finally, 0.39 for overcast conditions. Results are further used to directly forecast solar power production in the region of interest, where evaluations of generation potential are done at the city scale. Outputs show a gradient of power generation produced by the potential available solar energy on the entire uWRF-solar grid. In total, the city has a city photovoltaic (PV) potential of 118 kWh/day/m2 and 3.65 MWh/month/m2.
publisherThe American Society of Mechanical Engineers (ASME)
titleOn the Assessment of a Numerical Weather Prediction Model for Solar Photovoltaic Power Forecasts in Cities
typeJournal Paper
journal volume141
journal issue6
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4042972
journal fristpage61203
journal lastpage061203-7
treeJournal of Energy Resources Technology:;2019:;volume( 141 ):;issue: 006
contenttypeFulltext


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