1,721,025 research outputs found
ANALYSIS OF AN ABSORPTION CHILLER DRIVEN BY THE HEAT RECOVERY ON A SOLID OXIDE FUEL CELL
No full textThis paper studies an absorption machine driven by the heat recovered from a Solid Oxide Fuel Cell (SOFC). The absorption unit was first evaluated by a cycle analysis determining the sensitivity to the main boundary conditions and to the internal parameters. Then a specific simulation code of all the different devices of the absorption machine was developed to evaluate the performance and size of the unit together with its operating condition limits
Analysis of an Absorption Chiller Driven by the Heat Recovery on a Solid Oxide Fuel Cell
No full textThis paper studies an absorption machine driven by the heat recovered from a Solid Oxide Fuel Cell (SOFC). The absorption unit was first evaluated by a cycle analysis determining the sensitivity to the main boundary conditions and to the internal parameters. Then a specific simulation code of all the different devices of the absorption machine was developed to evaluate the performance and size of the unit together with its operating condition limits
The calibration process of building energy models
No full textThe importance of model calibration has been growing up as a result of the energy refurbishment policy promoted by the recast Energy Performance of Buildings Directive (EPBD 2010/31/EU). In fact, with the purpose of ensuring a suitable refurbishment design with effective energy conservation measures (ECM), an accurate model has to be defined in order to assess the energy behaviour of the as-built building. In this chapter, some issues related to the model calibration are presented, starting from the definition of an operative procedure step by step. Furthermore, for the most critical phases of the procedure, analysis techniques and experimental methods are described both through theory and practical examples. Finally, throughout the chapter, the analysis of a case study is presented
On the influence of several parameters in energy model calibration: The case of a historical building
No full textThe aim of this work is to investigate the extent to which several different variables (e.g. climate conditions, infiltration rates and envelope characteristics) could affect the calibration process and, consequently, the reliability of the simulation outcomes. In this regard, in this paper the calibration phases of a dynamic hourly energy model for an existing building are presented. The test case is a historical construction built at the end of the nineteenth century in northern Italy. The building, originally designed for tobacco processing, has a massive envelope and it has no HVAC system. Therefore, the simulation model is calibrated using the actual air and wall surface temperature as control variables. Finally, a sensitivity analysis is carried out in order to assess the incidence of different inputs in building thermal behaviour and to identify which parameters have to be refined with the aim of optimizing the model calibration
A multi-level frontal algorithm for finite element analysis and its implementation on parallel computation
No full textThis paper presents a multi-level frontal algorithm and its implementation and applications on parallel computation. A multi-frontal program is given which may be used for unsymmetric finite element matrix equations. The parallel program is developed on a cluster of workstations. The PVM (parallel virtual machine) system is used to handle communications among networked workstations. The method has advantages such as numbering of the finite element mesh in an arbitrary manner, simple programming organization, smaller core requirements and computation times. An implementation of this parallel method on workstations is discussed, the speedup and efficiency of this method being demonstrated and compared with general domain decomposition method based on band matrix methods by numerical examples
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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