Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Nicola Bodini"'
Autor:
Stefano Letizia, Peter Brugger, Nicola Bodini, Raghavendra Krishnamurthy, Andrew Scholbrock, Eric Simley, Fernando Porté-Agel, Nicholas Hamilton, Paula Doubrawa, Patrick Moriarty
Publikováno v:
Frontiers in Mechanical Engineering, Vol 9 (2023)
This article provides a comprehensive review of the most recent advances in the planning, execution, and analysis of inflow and wake measurements from nacelle-mounted wind Doppler lidars. Lidars installed on top of wind turbines provide a holistic vi
Externí odkaz:
https://doaj.org/article/d597dad12b4848e894057ae10fb518a2
Autor:
Austin C. Todd, Mike Optis, Nicola Bodini, Michael Jason Fields, Jordan Perr‐Sauer, Joseph C. Y. Lee, Eric Simley, Robert Hammond
Publikováno v:
Wind Energy, Vol 25, Iss 10, Pp 1775-1790 (2022)
Abstract The wind resource assessment community has long had the goal of reducing the bias between wind plant pre‐construction energy yield assessment (EYA) and the observed annual energy production (AEP). This comparison is typically made between
Externí odkaz:
https://doaj.org/article/92a10147b83240ffa073a0fdc91f07b4
Publikováno v:
Wind Energy, Vol 25, Iss 1, Pp 5-22 (2022)
Abstract Many operational analyses of wind power plants require a statistical relationship, which can be called the wind plant power curve, to be developed between wind plant energy production and concurrent atmospheric variables. Currently, a univar
Externí odkaz:
https://doaj.org/article/f3600c56db9b40efa22d6f7c1eeccf56
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Long-term weather and climate observatories can be affected by the changing environments in their vicinity, such as the growth of urban areas or changing vegetation. Wind plants can also impact local atmospheric conditions through their wake
Externí odkaz:
https://doaj.org/article/3949069b03dd4370b61af8d5be9f0eb0
Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast
Publikováno v:
Wind Energy Science. 8:607-620
Uncertainty quantification of long-term modeled wind speed is essential to ensure stakeholders can best leverage wind resource numerical data sets. Offshore, this need is even stronger given the limited availability of observations of wind speed at h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b527ef8702cf9615363f692de7596d78
https://doi.org/10.5194/wes-8-607-2023
https://doi.org/10.5194/wes-8-607-2023
Autor:
Nicola Bodini, Patrick Moriarty, Caroline Draxl, Vincent Pronk, Avi Purkayastha, Mike Optis, Ethan Young, Julie K. Lundquist
Publikováno v:
Wind Energy Science. 7:487-504
Mesoscale numerical weather prediction (NWP) models are generally considered more accurate than reanalysis products in characterizing the wind resource at heights of interest for wind energy, given their finer spatial resolution and more comprehensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc57f5a5b0e6fa6d4a086625d477808a
https://doi.org/10.5194/wes-7-487-2022
https://doi.org/10.5194/wes-7-487-2022
Autor:
Nicola Bodini, Alex Rybchuk, Mike Optis, Julie K. Lundquist, Timothy W. Juliano, David Rosencrans
Wind plant wake impacts can be estimated with a number of simulation methodologies, each with its own fidelity and sensitivity to model inputs. In turbine-free mesoscale simulations, hub-height wind speeds can significantly vary with the choice of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6dc76660b4eb986246ae2334c6387c6
https://wes.copernicus.org/articles/7/2085/2022/
https://wes.copernicus.org/articles/7/2085/2022/
Autor:
Nicola Bodini, Alex Rybchuk, Mike Optis, Walter Musial, Julie Lundquist, Stephanie Redfern, Caroline Draxl, Raghavendra Krishnamurthy, Brian Gaudet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8d0f1883e17d3970d283ddf1863d5f
https://doi.org/10.2172/1899984
https://doi.org/10.2172/1899984
Publikováno v:
Wind Energy Science, Vol 6, Pp 935-948 (2021)
Accurate characterization of the offshore wind resource has been hindered by a sparsity of wind speed observations that span offshore wind turbine rotor-swept heights. Although public availability of floating lidar data is increasing, most offshore w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c83d961f5e1bae6a779a5fdcda570cd
https://doi.org/10.5194/wes-6-935-2021
https://doi.org/10.5194/wes-6-935-2021