Mandar Tabib
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View article: Anomaly detection in multivariate time series of drilling data
Anomaly detection in multivariate time series of drilling data Open
Different clusters of abnormal activities often arise within same temporal domain of drilling operations. This contrasts with employing simplified scenarios, such as anomaly detection models for specific issues like stuck pipe or loss circ…
View article: Digital Twin for Wind Energy: Latest updates from the NorthWind project
Digital Twin for Wind Energy: Latest updates from the NorthWind project Open
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and innovation in wind energy. The core mission is to reduce wi…
View article: A Reinforcement Learning framework for Wake Steering of Wind Turbines
A Reinforcement Learning framework for Wake Steering of Wind Turbines Open
Ideally, optimum power for a single turbine is obtained when the wind-turbine is aligned with the wind direction. However in multi-turbine wind-farm set-up, wake effects lead to decreased power production from downstream turbine [1, 2, 3, …
View article: Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach Open
Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally intractable. In this study, we demonstrate …
View article: Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up
Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up Open
A computationally efficient predictive digital twin (DT) of a small-scale greenhouse needs an accurate and faster modelling of key variables such as the temperature field and flow field within the greenhouse. This involves: (a) optimally p…
View article: Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade
Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade Open
In this study, we present a parametric, non-intrusive reduced order modeling (NIROM) framework as a potential digital-twin enabler for fluid flow around an aerofoil. A wind turbine blade has its basic foundation in the aerofoil shape. A fa…
View article: A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting.
A nested multi-scale model for assessing urban wind conditions : Comparison of Large Eddy Simulation versus RANS turbulence models when operating at the finest scale of the nesting. Open
Good understanding of micro-scale urban-wind phenomena is needed for optimizing power generation capabilities of building-integrated wind turbines and for safety of futuristic urban transport involving drones. The current work involves dev…
View article: A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold.
A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold. Open
In this study, we present a parametric non-intrusive reduced order modeling framework as a potential digital twin enabler for fluid flow related applications. The case study considered here involves building-induced flows and turbulence wi…
View article: Geometric Change Detection in Digital Twins using 3D Machine Learning
Geometric Change Detection in Digital Twins using 3D Machine Learning Open
Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric models, which are the physical representations of objects in…
View article: GANs enabled super-resolution reconstruction of wind field
GANs enabled super-resolution reconstruction of wind field Open
Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally unmanageable. In this paper, we demonstrate…
View article: TOWARDS UNDERSTANDING WIND IMPACT FOR DRONE OPERATIONS: A COMPARISON OF WIND MODELS OPERATING ON DIFFERENT SCALES IN A NESTED MULTISCALE SET-UP.
TOWARDS UNDERSTANDING WIND IMPACT FOR DRONE OPERATIONS: A COMPARISON OF WIND MODELS OPERATING ON DIFFERENT SCALES IN A NESTED MULTISCALE SET-UP. Open
The application of Unmanned Aircraft Systems (UAS) in health services is increasing, with a large variety of objectives: delivering medicines and vaccines, transporting blood samples and providing care technology in emergency situations. H…
View article: A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition
A step towards reduced order modelling of flow characterized by wakes using Proper Orthogonal Decomposition Open
High fidelity simulations of flow can be quite demanding, involving up to O(106) to O(109) degrees of freedom, and several hours or days of computational time, even on powerful parllel architectures. These techniques become prohibitive whe…
View article: Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model
Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model Open
The mass, momentum and energy fluxes between the atmosphere and ocean surface depend on the state of the ocean surface. The fluxes in turn can significantly alter the nature of the marine boundary layer and the state of the ocean surface. …
View article: A full-scale 3D Vs 2.5D Vs 2D analysis of flow pattern and forces for an industrial-scale 5MW NREL reference wind-turbine.
A full-scale 3D Vs 2.5D Vs 2D analysis of flow pattern and forces for an industrial-scale 5MW NREL reference wind-turbine. Open
NREL 5MW reference turbine, which is a popular, realistic and standardized industrial scale offshore turbine model, is used in this work for understanding the associated flow-complexities and for testing models. For such full-scale wind-tu…
View article: Methodology for assessing cycling comfort during a smart city development
Methodology for assessing cycling comfort during a smart city development Open
Smart city development that encourages more bicycles on the road will pave way for a city with an energy-efficient transport. In this direction, the current work involves developing a cycling comfort matrix based on computational fluid dyn…
View article: Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining (POD)
Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining (POD) Open
Accurate prediction of power generation capability needs proper assessment of blade loading and wake behavior. In this regard, the Sliding Mesh Interface (SMI) approach and the Actuator Line Model (ALM) are two diverse computational fluid …
View article: Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology
Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology Open
Dominant flow structures in the wake region behind the turbine employed in the Blind Test campaign [1], [2] is investigated numerically. The effect on the wake configuration at variable operating conditions are studied. The importance of t…
View article: A COMPUTATIONAL FRAMEWORK INVOLVING CFD AND DATA MINING TOOLS FOR ANALYZING DISEASE IN CAROTID ARTERY BIFURCATION
A COMPUTATIONAL FRAMEWORK INVOLVING CFD AND DATA MINING TOOLS FOR ANALYZING DISEASE IN CAROTID ARTERY BIFURCATION Open
Cardiovascular diseases, like Carotid Artery Disease and Coronary Artery Disease (CAD) are associated with the narrowing of artery due to build-up of fatty substances and cholesterol deposits (called plaque). Carotid Artery Disease increas…
View article: Machine learning based investigation of influence of weather on transport mobility.
Machine learning based investigation of influence of weather on transport mobility. Open
Current work involves data-driven analysis of travel mobility. For this purpose, traffic counts of cars and bikes at various traffic routes along With the associated weather have been collected in Oslo, Norway. Amongst the 6 machine learni…
View article: A MULTI-DOMAIN 1D PARTICLE-REACTOR MODEL FOR PACKED BED REACTOR REACTOR APPLICATIONS
A MULTI-DOMAIN 1D PARTICLE-REACTOR MODEL FOR PACKED BED REACTOR REACTOR APPLICATIONS Open
A validated multi-domain 1D particle-reactor model has been developed to simulate packed bed reactor operation. Two main components of the model are: (1) a particle model for simulating the radial distribution of chemical species and tempe…
View article: Analyzing complex wake-terrain interactions and its implications on wind-farm performance.
Analyzing complex wake-terrain interactions and its implications on wind-farm performance. Open
Rotating wind turbine blades generate complex wakes involving vortices (helical tip-vortex, root-vortex etc.).These wakes are regions of high velocity deficits and high turbulence intensities and they tend to degrade the performance of dow…
View article: Wake modeling in complex terrain using a hybrid Eulerian-Lagrangian Split Solver
Wake modeling in complex terrain using a hybrid Eulerian-Lagrangian Split Solver Open
Wake vortices (WVs) generated by aircraft are a source of risk to the following aircraft. The probability of WV related accidents increases in the vicinity of airport runways due to the shorter time of recovery after a WV encounter. Hence,…
View article: Numerical Analysis of NREL 5MW Wind Turbine: A Study Towards a Better Understanding of Wake Characteristic and Torque Generation Mechanism
Numerical Analysis of NREL 5MW Wind Turbine: A Study Towards a Better Understanding of Wake Characteristic and Torque Generation Mechanism Open
With the increased feasibility of harvesting offshore wind energy, scale of wind turbines is growing rapidly and there is a trend towards clustering together higher number of turbines in order to harvest maximum yield and to leave a smalle…