118,350 research outputs found
Lo «scaleo d’oro» del cielo di Saturno (Pd. XXI 28-30): esegesi e indagine sulle fonti. Atti della Giornata di studio, Eremo San Giorgio (Bardolino-VR), 17 giugno 2016
No full textPresentazione degli Atti della Giornata di studio dal titolo «Lo "scaleo d’oro" del cielo di Saturno (Pd. XXI 28-30): esegesi e indagine sulle fonti», tenutasi presso l'Eremo San Giorgio (Bardolino-VR) il 17 giugno 2016. La raccolta dei contributi è pubblicata come sezione monografica all'interno della rivista «Studi di erudizione e di filologia italiana» 6 (2017), pp. 5-123
Entre peinture, archéologie et muséographie : l'«Antiquarium» de Michele Fabrizio Ferrarini
No full textFranzoni Claudio, Sarchi Alessandra, Lambert Geneviève. Entre peinture, archéologie et muséographie : l'«Antiquarium» de Michele Fabrizio Ferrarini. In: Revue de l'Art, 1999, n°125. pp. 20-31
A model predictive control method for an industrial boiler and relating boiler structure an industrial boiler and relating boiler structure
No full textFerrarini, L., & Scaldaferri, N. (2020). Sonic Ethnography: Identity, Heritage and Creative Research Practice in Basilicata, Southern Italy. Manchester: Manchester University Press. 240 p.
Get PDFResenha do livro Sonic Ethnography: Identity, Heritage and Creative Research Practice in Basilicata, Southern Italy, de L. Ferrarini e N. Scaldaferri, publicado em 2020.
Neural network predictive schemes for building temperature control: a comparative study
No full textStarting 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
Enumeration Algorithms for Minimal Siphons in Petri Nets Based on Place Constraints
No full textThe paper addresses the problem of enumerating minimal siphons in an ordinary Petri net. The algorithms developed in this work recursively use a problem partitioning procedure to reduce the original search problem to multiple simpler search subproblems. Each subproblem has specific additional place constraints with respect to the original problem. Some results on algorithm correctness, convergence, and computational complexity are provided, as well as an experimental evaluation of performance. The algorithms can be applied to enumerate minimal, place-minimal siphons, or even siphons that are minimal with respect to given subsets of places
Some results on the computation of minimal siphons in Petri nets
No full textThe problem addressed in th e paper is that of computing minimal siphons in standard Petri nets. In particular, some new theoretical results are stated and proved which aim at reducing the original problem to a set of smaller sub-problems. Based on that, a conceptual algorithm is proposed which efficiently computes a set of siphons containing the minimal siphons of a net. An experimental prototypical version of the proposed search algorithm has been developed and a campaign on a large set of random test instances has been carried out to evaluate the effectiveness and efficiency of the proposed method
Characterization of Minimal and Basis Siphons with Predicate Logic and Linear Programming
No full textThe paper addresses the problem of computing siphons and traps in a standard Petri net. In particular, starting from a clear formulation in terms of predicate logic, it is shown how binary programming techniques can be adopted to formulate and solve the problem of finding minimal and basis siphons. An experimental campaign on a large set of random test instances proves the effectiveness of the method when compared to a constructive one
Digital Techniques for Energy Optimization in a University Building: A case study
No full textThis paper describes the results of a pilot energy efficiency application, which is a part of the European project Esmartcity. The pilot refers to a real building of Politecnico di Milano composed of 14 classrooms over 4 floors. A quite complex centralized thermal network composed of different delivery devices (fan coils and radiators) and generation devices (water-to-water and air-to-water heat pumps, air handling unit with heat recovery) is used to control each room temperature, humidity and CO2 levels. In spite of its complexity, the overall system is unable to sufficiently compensate disturbances, which are mainly due to people occupancy. The installation of smart multi sensors in a mesh network over the building allows data collection sufficient to build realistic physical models, design innovative and non-intrusive control strategies for disturbance compensations, and evaluate performance. In particular, the paper designs and compares an innovative rule-based feedback-feedforward control scheme integrating and estimation of people counting algorithms and a water temperature tracking algorithm based on a short recirculation circuit. Results show energy efficiency enforcement of about 12.6% and 10.7% respectively, without the need of structural retrofitting of the building and with a small, though measureable, comfort increase
Energy Management in Buildings: Lessons Learnt for Modeling and Advanced Control Design
Get PDFThis 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
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