324,042 research outputs found
S. Ferrarini, Le assicurazioni marittime
S. Ferrarini, Le assicurazioni marittime. In: Revue internationale de droit comparé. Vol. 23 N°3, Juillet-septembre 1971. pp. 684-685
S. Ferrarini, Le assicurazioni marrittime
S. Ferrarini, Le assicurazioni marrittime . In: Revue internationale de droit comparé. Vol. 34 N°4, Octobre-décembre 1982. pp. 1302-1303
S. Ferrarini, Le assicurazioni marittime
S. Ferrarini, Le assicurazioni marittime. In: Revue internationale de droit comparé. Vol. 23 N°3, Juillet-septembre 1971. pp. 684-685
Palinologia E Archeobotanica: ‘Aerobiologia 2.0’: A simple software to handle 24 hour and 2-hour aero-polle. Data
Tecniche a membrana per l’autoarricchimento dei mosti
Tecniche a membrana per l’autoarricchimento dei most
Neural network predictive schemes for building temperature control: a comparative study
Starting from an application of a real medium-size university building, the present paper focuses on the comparison among different ways to synthesize a predictive control scheme to improve the energy performance for heating, ventilation and air conditioning system of the building. The main motivation is the comparison among a nonlinear predictive control structure previously developed (based on first principle equations) with a predictive control whose prediction model is an artificial neural network. Particular emphasis is given on how to tune the neural network to gain good closed-loop performance. Twenty-one different networks are designed and tuned in order to correlate their closed-loop performance with the type and length of training data set, for building energy efficiency applications. Finally, a linear time-variant predictive control is given, obtained as analytical linearization along the future system trajectory, of the nonlinear equations of the neural network model. The goal is to add to the comparison a low computational burden (linear controller) still derived from nonlinear data-driven methods
Hierarchical Nonlinear MPC for Large Buildings HVAC Optimization
This paper studies the problem of performance improvement and energy consumption reduction of the heating, ventilation and air conditioning system of a large-scale university building through the application of nonlinear predictive control strategies concerning also practical and implementation issues. The system consists of two heat pumps, a water-to-water and an air-to-water type, and two different air handling units, which regulate and circulate air in all thermal zones. In such applications, prediction of the future dynamical behavior of the heat pumps is extremely important to enforce efficiency, but it is also very challenging due to the load dependency and nonlinearity of the coefficient of performances of those heat pumps. On the other hand, another source of potential model mismatch is the nonlinear characterization of the heat transfer coefficients of the AHU induced by variable air and water velocity, which gives rise to a non-trivial nonlinear system. To do so, two nonlinear model predictive control strategies are investigated to deal with many physical constraints and nonlinear problems. Finally, a sensitivity and robustness analysis are performed to highlight the merits, defects and impacts of those control algorithms on the energy performance of the building
Energy Management in Buildings: Lessons Learnt for Modeling and Advanced Control Design
This paper presents a comparative analysis of different modeling and control techniques that can be used to tackle the energy efficiency and management problems in buildings. Multiple resources are considered, from generation to storage, distribution and delivery. In particular, it is shown what are the real needs and advantages of adopting different techniques, based on different applications, type of buildings, boundary conditions. This contribution is based widely on the experience performed by the authors in the recent years in dealing with existing residential, commercial and tertiary filed buildings, with application ranging from local temperature control up to smart grids where buildings are seen as an active node of the grid thanks to their ability to shape the thermal and electrical profile in real time. As for control models, a wide range of modeling techniques are here investigated and compared, from linear time-invariant models, to time-varying, to nonlinear ones. Similarly, control techniques include adaptive ones and real-time predictive ones
AEROBIOLOGIA 2.0
Programma sofware in BASIC, ultimo di una serie di tre versioni, progettato per archiviazione dati da letture di monitoraggio aerobiologico, per dati orari e biorari. Raccoglie ed elabora tutti i dati trasformandoli in concentrazioni e permettendo esportazione in excel
Family Policy, Perceived Stress and Work-Family Conflict A Comparative Analysis of Women in 20 Welfare States
In what ways can family policy institutions be linked to women’s perceived stress and work-family conflict? This study combines new institutional information, enabling a multi-dimensional analysis of family policy legislation, with micro data on individuals’ perceived stress and work-family conflict for 20 welfare democracies from the International Social Survey Program of 2002. By use of multilevel regression, individual- and country-level factors are brought together in simultaneous analyses of their relationships with perceived stress and workfamily conflict. Our evaluations do not lend evidence to hypotheses predicting higher stress and role conflicts in countries where family policy design offers extensive support to dual-earner families. Findings are more in line with institutionalist ideas on work-family reconciliation, indicating that family policy institutions supportive of dual-earner families counterbalance stress emanatingfamily policy legislation; perceived stress; work-family conflict; International Social Survey Program of 2002
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