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Carnevale C.,University of Brescia | Douros J.,Aristotle University of Thessaloniki | Finzi G.,University of Brescia | Graff A.,Umweltbundesamt | And 7 more authors.
Environmental Science and Policy | Year: 2016

In recent years, evaluating the robustness of environmental models results has become essential in order to effectively support decision makers to define suitable emission control strategies. This evaluation is performed in literature through uncertainty and sensitivity analyses. Therefore, the application of such methodologies to air quality Integrated Assessment Models (IAMs) is extremely challenging. In fact, in this case uncertainty and sensitivity analyses should be assessed not only for each single component of the system, but also for the overall IAM. In the paper, an attempt is made to extend and systematize the information available on uncertainty/sensitivity analysis, at first considering environmental models in general, and then focusing on air quality IAMs. The study aims to offer a tentative framework addressed to modelers and decision makers in the implementation of IAM and evaluation of its results. The framework has been tested on Lombardy region (Northern Italy). The results show how the uncertainty on Drivers of emissions propagates on the whole modelling chain characterizing an integrated assessment study. © 2016 Elsevier Ltd.


Radziszewska W.,Instytut Badan Systemowych PAN | Parol M.,Warsaw University of Technology | Nahorski Z.,Instytut Badan Systemowych PAN
Przeglad Elektrotechniczny | Year: 2015

The paper presents a simulated power and energy management computer system for a microgrid of the research and educational center under construction. First, the low voltage AC microgrid considered is shortly characterized. Then, the components of the computer system designed for the microgrid are described. Moreover, the results of computer simulations obtained with the use of the system mentioned are included, along with discussion of the problem of calculation the reliability indexes. The paper is completed with the summary and the presentation of further possible research directions. © 2015, Kluwer Academic Publishers. All Rights Reserved.


The paper deals with the problem of choosing an appropriate inspection interval for monitoring of safety related control systems in machinery. Extremely simple approximate models have been proposed in order to provide practitioners without reliability training useful tools for the determination of inspection policies. These methods allow practitioners to design improved systems and procedures that will be able to fulfill requirements stated by international industry standards.

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