Gomes et al 2024a - Revision history

Scipediacontent at 12:24, 3 December 2024

2024-12-03T12:24:49Z

Scipediacontent at 12:24, 3 December 2024

2024-12-03T12:24:15Z

Scipediacontent at 12:22, 3 December 2024

2024-12-03T12:22:55Z

JSanchez: JSanchez moved page Draft Sanchez Pinedo 307477530 to Gomes et al 2024a

2024-10-23T08:38:20Z

JSanchez moved page Draft Sanchez Pinedo 307477530 to Gomes et al 2024a

JSanchez at 08:38, 23 October 2024

2024-10-23T08:38:12Z

JSanchez at 08:38, 23 October 2024

2024-10-23T08:38:09Z

JSanchez: Created blank page

2024-10-23T08:38:07Z

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 ==Abstract==
-With the rapid evolution of offshore wind energy, engineering tools are crucial to catalyze technological developments and increase their maturity, therefore leading to lower costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD simulations. Turbulence models play a critical role on this matter and an adequate balance between accuracy and computational e ort is necessary. While RANS approaches are quite e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved simulations are still computationally prohibitive for industrial purposes. A middle-ground exists in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the present work emphasis is placed on PANS, since numerical and modelling errors can be studied and quantified independently, as opposite to other SRS approaches. Using as a benchmark the UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless, PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to properly capture the integral forces due to premature separation in the blades. Several causes are discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent content of the numerical inlet, preventing laminar to turbulent flow transition. Future work should focus on inlet synthetic turbulence generation, in line with existent literature, in order to improve the shortcomings faced in properly resolving the near-wall flow.
+With the rapid evolution of offshore wind energy, engineering tools are crucial to catalyze technological developments and increase their maturity, therefore leading to lower costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD simulations. Turbulence models play a critical role on this matter and an adequate balance between accuracy and computational e ort is necessary. While RANS approaches are quite efficient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved simulations are still computationally prohibitive for industrial purposes. A middle-ground exists in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the present work emphasis is placed on PANS, since numerical and modelling errors can be studied and quantified independently, as opposite to other SRS approaches. Using as a benchmark the UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless, PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to properly capture the integral forces due to premature separation in the blades. Several causes are discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent content of the numerical inlet, preventing laminar to turbulent flow transition. Future work should focus on inlet synthetic turbulence generation, in line with existent literature, in order to improve the shortcomings faced in properly resolving the near-wall flow.
 == Full Paper ==
 <pdf>Media:Draft_Sanchez Pinedo_307477530pap_846.pdf</pdf>

@@ Line 2: / Line 2: @@
 ==Abstract==
-With the rapid evolution of o↵shore wind energy, engineering tools are crucial to catalyze technological developments and increase their maturity, therefore leading to lower costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD simulations. Turbulence models play a critical role on this matter and an adequate balance between accuracy and computational e ort is necessary. While RANS approaches are quite e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved simulations are still computationally prohibitive for industrial purposes. A middle-ground exists in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the present work emphasis is placed on PANS, since numerical and modelling errors can be studied and quantified independently, as opposite to other SRS approaches. Using as a benchmark the UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless, PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to properly capture the integral forces due to premature separation in the blades. Several causes are discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent content of the numerical inlet, preventing laminar to turbulent flow transition. Future work should focus on inlet synthetic turbulence generation, in line with existent literature, in order to improve the shortcomings faced in properly resolving the near-wall flow.
+With the rapid evolution of offshore wind energy, engineering tools are crucial to catalyze technological developments and increase their maturity, therefore leading to lower costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD simulations. Turbulence models play a critical role on this matter and an adequate balance between accuracy and computational e ort is necessary. While RANS approaches are quite e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved simulations are still computationally prohibitive for industrial purposes. A middle-ground exists in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the present work emphasis is placed on PANS, since numerical and modelling errors can be studied and quantified independently, as opposite to other SRS approaches. Using as a benchmark the UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless, PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to properly capture the integral forces due to premature separation in the blades. Several causes are discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent content of the numerical inlet, preventing laminar to turbulent flow transition. Future work should focus on inlet synthetic turbulence generation, in line with existent literature, in order to improve the shortcomings faced in properly resolving the near-wall flow.
 == Full Paper ==
 <pdf>Media:Draft_Sanchez Pinedo_307477530pap_846.pdf</pdf>

@@ Line 2: / Line 2: @@
 ==Abstract==
-With the rapid evolution of o↵shore wind energy, engineering tools are crucial
+With the rapid evolution of o↵shore wind energy, engineering tools are crucial to catalyze technological developments and increase their maturity, therefore leading to lower costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD simulations. Turbulence models play a critical role on this matter and an adequate balance between accuracy and computational e ort is necessary. While RANS approaches are quite e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved simulations are still computationally prohibitive for industrial purposes. A middle-ground exists in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the present work emphasis is placed on PANS, since numerical and modelling errors can be studied and quantified independently, as opposite to other SRS approaches. Using as a benchmark the UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless, PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to properly capture the integral forces due to premature separation in the blades. Several causes are discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent content of the numerical inlet, preventing laminar to turbulent flow transition. Future work should focus on inlet synthetic turbulence generation, in line with existent literature, in order to improve the shortcomings faced in properly resolving the near-wall flow.
- to catalyze technological developments and increase their maturity, therefore leading to lower
- costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow
- on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD
- simulations. Turbulence models play a critical role on this matter and an adequate balance
- between accuracy and computational e↵ort is necessary. While RANS approaches are quite
- e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved
- simulations are still computationally prohibitive for industrial purposes. A middle-ground exists
- in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the
- present work emphasis is placed on PANS, since numerical and modelling errors can be studied
- and quantified independently, as opposite to other SRS approaches. Using as a benchmark the
- UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations
- are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless,
- PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to
- properly capture the integral forces due to premature separation in the blades. Several causes are
- discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent
- content of the numerical inlet, preventing laminar to turbulent flow transition. Future work
- should focus on inlet synthetic turbulence generation, in line with existent literature, in order
- to improve the shortcomings faced in properly resolving the near-wall flow.
 == Full Paper ==
 <pdf>Media:Draft_Sanchez Pinedo_307477530pap_846.pdf</pdf>

← Older revision		Revision as of 08:38, 23 October 2024
Line 21:		Line 21:
	should focus on inlet synthetic turbulence generation, in line with existent literature, in order		should focus on inlet synthetic turbulence generation, in line with existent literature, in order
	to improve the shortcomings faced in properly resolving the near-wall flow.		to improve the shortcomings faced in properly resolving the near-wall flow.
		+
		+	== Full Paper ==
		+	<pdf>Media:Draft_Sanchez Pinedo_307477530pap_846.pdf</pdf>

← Older revision	Revision as of 08:38, 23 October 2024
Line 1:	Line 1:
	+
	+	==Abstract==

	+	With the rapid evolution of o↵shore wind energy, engineering tools are crucial
	+	to catalyze technological developments and increase their maturity, therefore leading to lower
	+	costs. Complex turbine-turbine interactions require a good knowledge of the physics of the flow
	+	on, around and down/upstream of each turbine, which can be provided using high-fidelity CFD
	+	simulations. Turbulence models play a critical role on this matter and an adequate balance
	+	between accuracy and computational e↵ort is necessary. While RANS approaches are quite
	+	e cient, LES should provide the most accurate result. Yet, even nowadays, LES blade-resolved
	+	simulations are still computationally prohibitive for industrial purposes. A middle-ground exists
	+	in SRS formulations, such as hybrid ones as DDES, or bridging ones such as PANS. In the
	+	present work emphasis is placed on PANS, since numerical and modelling errors can be studied
	+	and quantified independently, as opposite to other SRS approaches. Using as a benchmark the
	+	UNAFLOWwindturbine, it is found that traditional RANS and DDES turbulence formulations
	+	are able to predict integral forces, but partially fail in capturing wake mixing. Nevertheless,
	+	PANS, while enabling the user to select the ratio of turbulent quantities modelled, is not able to
	+	properly capture the integral forces due to premature separation in the blades. Several causes are
	+	discussed, including insu cient mesh refinement in the near-wall region and lack of turbulent
	+	content of the numerical inlet, preventing laminar to turbulent flow transition. Future work
	+	should focus on inlet synthetic turbulence generation, in line with existent literature, in order
	+	to improve the shortcomings faced in properly resolving the near-wall flow.

← Older revision	Revision as of 08:38, 23 October 2024
(No difference)