Uncertainty Quantification of the Effects of Blade Damage on the Actual Energy Production of Modern Wind Turbines

Wind turbine blade deterioration issues have come to the attention of researchers and manufacturers due to the relevant impact they can have on the actual annual energy production (AEP). Research has shown how after prolonged exposure to hail, rain, insects or other abrasive particles, the outer surface of wind turbine blades deteriorates. This leads to increased surface roughness and material loss. The trailing edge (TE) of the blade is also often damaged during assembly and transportation according to industry veterans. This study aims at investigating the loss of AEP and efficiency of modern multi-MW wind turbines due to such issues using uncertainty quantification. Such an approach is justified by the stochastic and widely different environmental conditions in which wind turbines are installed. These cause uncertainties regarding the blade's conditions. To this end, the test case selected for the study is the DTU 10 MW reference wind turbine (RWT), a modern reference turbine with a rated power of 10 MW. Blade damage is modelled through shape modification of the turbine's airfoils. This is done with a purposely developed numerical tool. Lift and drag coefficients for the damaged airfoils are calculated using computational fluid dynamics. The resulting lift and drag coefficients are used in an aero-servo-elastic model of the wind turbine using NREL's code OpenFAST. An arbitrary polynomial chaos expansion method is used to estimate the probability distributions of AEP and power output of the model when blade damage is present. Average AEP losses of around 1% are predicted mainly due to leading-edge blade damage. Results show that the proposed method is able to account for the uncertainties and to give more meaningful information with respect to the simulation of a single test case

Structurally Constrained MUC1-Tn Mimetic Antigen as Template for Molecularly Imprinted Polymers (MIPs): A Promising Tool for Cancer Diagnostics

Abnormal glycoconjugates have distinctly been recognized as potential biomarkers for cancer diagnosis. A great deal of attention has been focused on Tn antigen, an oversimplified mucin-1 O-glycan, over-expressed in different cancers. Herein, we investigate the possibility to replace the use of anti-Tn monoclonal antibodies with an innovative class of catecholamine-based Molecularly Imprinted Polymers (MIPs), emerging in recent years as promising tools for bioanalytical applications. MIPs are synthetic receptors characterized by high sensitivity and specificity towards the imprinted target. Here, original polynorepinephrine-based MIPs coupled to Surface Plasmon Resonance biosensing for Tn antigen recognition are reported. We have verified the imprinting and binding capacity of these MIPs towards very small antigenic entities, represented by the natural Tn antigen and the TnThr mimetic 1 (conjugated to BSA or linked to a MUC1 hexapeptide analogue), and compared the biosensor performances with an anti-Tn monoclonal antibody. The results clearly display the effectiveness of the pursued imprinting strategies

Verso la tecnologia 6G per i luoghi della cultura

Considering the remarkable historical, artistic, monumental, demoethno-anthropological, archaeological, archival and national library heritage, in order to improve the management and safety of places of culture, it becomes essential to focus attention on the new 6G technology which will allow the fusion of digital world with the physical world capable of transmitting huge amounts of data and information in seconds. The places of culture (archaeological areas, archaeological parks, museums, monuments, archives, libraries), like other built places, thanks to 6G technology and its flexibility, versatility, sustainability, reliability, will be able to become completely interconnected

Verso la tecnologia 6G per i luoghi della cultura

Considering the remarkable historical, artistic, monumental, demoethno- anthropological, archaeological, archival and national library heritage, in order to improve the management and safety of places of culture, it becomes essential to focus attention on the new 6G technology which will allow the fusion of digital world with the physical world capable of transmitting huge amounts of data and information in seconds. The places of culture (archaeological areas, archaeological parks, museums, monuments, archives, libraries), like other built places, thanks to 6G technology and its flexibility, versatility, sustainability, reliability, will be able to become completely interconnected

Verso la tecnologia 6G per i luoghi della cultura

Considering the remarkable historical, artistic, monumental, demoethno-anthropological, archaeological, archival and national library heritage, in order to improve the management and safety of places of culture, it becomes essential to focus attention on the new 6G technology which will allow the fusion of digital world with the physical world capable of transmitting huge amounts of data and information in seconds. The places of culture (archaeological areas, archaeological parks, museums, monuments, archives, libraries), like other built places, thanks to 6G technology and its flexibility, versatility, sustainability, reliability, will be able to become completely interconnected

Verso la tecnologia 6G per i luoghi della cultura

Considering the remarkable historical, artistic, monumental, demoethno-anthropological, archaeological, archival and national library heritage, in order to improve the management and safety of places of culture, it becomes essential to focus attention on the new 6G technology which will allow the fusion of digital world with the physical world capable of transmitting huge amounts of data and information in seconds. The places of culture (archaeological areas, archaeological parks, museums, monuments, archives, libraries), like other built places, thanks to 6G technology and its flexibility, versatility, sustainability, reliability, will be able to become completely interconnected

A multi-variable DTR algorithm for the estimation of conductor temperature and ampacity on HV overhead lines by IoT data sensors

The transfer capabilities of High-Voltage Overhead Lines (HV OHLs) are often limited by the critical power line temperature that depends on the magnitude of the transferred current and the ambient conditions, i.e., ambient temperature, wind, etc. To utilize existing power lines more effectively (with a view to progressive decarbonization) and more safely with respect to the critical power line temperatures, this paper proposes a Dynamic Thermal Rating (DTR) approach using IoT sensors installed on some HV OHLs located in different Italian geographical locations. The goal is to estimate the OHL conductor temperature and ampacity, using a data-driven thermo-mechanical model with the Bayesian probability approach, in order to improve the confidence interval of the results. This work highlights that it could be possible to estimate a space-time distribution of temperature for each OHL and an increase in the actual current threshold values for optimizing OHL ampacity. The proposed model is validated using the Monte Carlo method

Newsletter Serit n. 9 - Marzo 2014

La IVa Giornata Nazionale della Piattaforma Serit è stata dedicata ad esempi di “best practice” di progetti di ricerca, finanziati dal programma quadro FP7-Security Research Project, che si sono dimostrati “end-users friendly”. Il numero di questa newsletter offre una breve sintesi della giornata

Newsletter Serit n. 10 - Novembre 2014

Attività svolte dai membri SERIT inerenti ad uno o più dei Settori Guida e delle Aree Tematiche in cui è suddivisa la Piattaforma SERIT