14 research outputs found

    Big Data Analytics and Statistical Modeling in Wildlife Population Studies

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    Wildlife population studies are increasingly reliant on "big data," encompassing vast and complex datasets generated by tracking technologies, remote sensing, and citizen science initiatives. This data presents both opportunities and challenges for researchers seeking to understand population dynamics, habitat use, and conservation challenges. This paper explores the synergistic roles of big data analytics and statistical modeling in extracting meaningful insights from this data. We discuss various statistical modeling approaches, including occupancy models, capture-recapture models, and spatial capture-recapture models, highlighting their applications in estimating population size, distribution, and demographic parameters. We also examine the role of big data analytics in handling, processing, and visualizing large datasets, emphasizing the importance of data management, quality control, and integration of multiple data sources. This paper underscores the transformative potential of big data analytics and statistical modeling in advancing wildlife research and conservation

    Techno–economic Potential of Battery Energy Storage Systems in Frequency Response and Balancing Mechanism Actions

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    Batteries offer a combination of balancing and regulation services within a smart grid to improve its resilience and flexibility. Maintaining an acceptable state of health and the highest rate of return requires dynamic modelling of the asset and rigorous optimisation. We compare the technical cost and economic benefit of battery employment in dynamic frequency and balancing mechanism actions in a smart grid. We use the services procured by National Grid in the UK as a case study but the methodology is globally applicable, including developing grid infrastructures. Our methodology yields the most optimum scenario of service participation, accounting for the dynamic degradation and considering variable pricing of electricity throughout the day.Additionally, it advises the most optimal despatch schedule and price declarations for the battery over the course a day and a year, employing Particle Swarm Optimisation algorithm and historic data. Our results demonstrate that ordinarily frequency response is preferred due to its lower technical toll and payments for availability rather than despatch. However, the proposed despatch schedule including both services provides the highest profit. We anticipate this methodology to become the basis for more sophisticated battery models that integrate the service despatch optimisation, dynamic lifetime degradation and economic analysis

    Effect of drill pipe orbital motion on non-Newtonian fluid flow in an eccentric wellbore: a study with computational fluid dynamics

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    AbstractTo ensure an effective drilling operation of an explored well, the associated hydraulics program should be established carefully based on the correct prediction of a drilling fluid’s pressure drop and velocity field. For that, the impact of the drill string orbital motion should be considered by drilling engineers since it has an important influence on the flow of drilling fluid and cuttings transport process. In the present investigation, the finite volume method coupled with the sliding mesh approach is used to analyze the influence of the inner cylinder orbital motion on the flow of a power-law fluid (Ostwald-de Waele) in an annular geometry. The findings indicate that the orbital motion positively affects the homogeneity of the power-law axial velocity through the entire eccentric annulus; however, this impact diminishes as the diameter ratio increases. In addition, higher torque is induced when the orbital motion occurs, especially for high values of eccentricity and diameter ratio; nonetheless, a slight decrease in torque is recorded when the fluid velocity increases.</jats:p
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