2 research outputs found

    Numerical simulations of hydrogen auto-ignition in a turbulent co-flow of heated air

    Get PDF
    Our research objective is the performance of Large-Eddy Simulation (LES) with the first order Conditional Moment Closure (CMC) of the test case experimentally studied by Markides and Mastorakos [1]. The experiment concerns auto-ignition of hydrogen, diluted with nitrogen, in a co-flow of heated air. A 19 step, nine species detailed mechanism is used for the reaction. Simulations reveal that the injected hydrogen mixes with co-flowing air and a diffusion flame is established. The configuration is sensitive to inlet boundary conditions, as all major turbulence effects are expected to be dominated by the inflow conditions. Preliminary LES results are presented. Stand-alone chemistry calculations are also presented to illustrate sensitivity on chemistry mechanisms

    Ethical Decision Making in Iot Data Driven Research: A Case Study of a Large-Scale Pilot

    No full text
    IoT technologies generate intelligence and connectivity and develop knowledge to be used in the decision-making process. However, research that uses big data through global interconnected infrastructures, such as the ‘Internet of Things’ (IoT) for Active and Healthy Ageing (AHA), is fraught with several ethical concerns. A large-scale application of IoT operating in diverse piloting contexts and case studies needs to be orchestrated by a robust framework to guide ethical and sustainable decision making in respect to data management of AHA and IoT based solutions. The main objective of the current article is to present the successful completion of a collaborative multiscale research work, which addressed the complicated exercise of ethical decision making in IoT smart ecosystems for older adults. Our results reveal that among the strong enablers of the proposed ethical decision support model were the participatory and deliberative procedures complemented by a set of regulatory and non-regulatory tools to operationalize core ethical values such as transparency, trust, and fairness in real care settings for older adults and their caregivers
    corecore