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    Energy demand for space heating through a statistical approach: application to residential buildings

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    This study deals with the statistical analysis of a data set of residential buildings to find simplified correlations for the assessment of the energy demand for space heating. The analyzed data come from a sample of 50 multi-family residential buildings of the local social housing company, built in different periods between the end of the 19th century and the end of the last century. Relationships are searched between the age of the building and its main geometric and thermophysical properties: the shape ratio, the volume, the opaque and glazed surfaces, their transmittances, the external and internal temperatures. These properties are suitably combined to find out statistical relations. Moreover, starting from standard deterministic equations, this study revises them and simplifies the most involved terms. This simplification is carried out making a statistical analysis of the energy quantities that affect the performance of a building. In such a way the solution of the energy balance is simplified, making the calculation easier and faster. Results are compared with those calculated using the rigorous Standard procedure, showing a good agreement. Moreover, the assessed energy demand is compared with the actual metered energy consumption. The present statistical model estimates in a simple and prompt way the energy demand for space heating of residential buildings, in particular the existing ones. It may represent a useful tool for their energy certification

    Operational Analysis of a Wood-Fired CHP Plant Feeding an ORC System and a DH Network

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    Wood-fired Combined Heat and Power (CHP) plants connected to District Heating (DH) networks can represent an efficient way to exploit biomass. Medium and small plants in rural areas can be supplied with local biomass and can contribute to increase the production of renewable energy in a sustainable way. In the last years, according to EU targets and thanks to the incentives provided on energy production from renewables, the number of biomass-fired CHP plants has continuously increased. In order to assess the behaviour and performance of a whole plant and of its various components it is essential to analyse operational data and parameters over the time. Real operation data can differ from nominal data because of their dependence on different parameters, i.e. biomass quality and moisture content, outdoor temperature, heat load, etc. The performance of each component has to be evaluated in order to assess the overall efficiency of the system and to find possible improvements. In this work the operational data of a wood fired CHP plant coupled to a DH network supplying users in a mountainous area are analysed. The DH system is supplied by two hot water boilers of total heat output of 8 MW and by a CHP system. The CHP system is made of a thermal oil boiler with nominal heat output of 6,5 MW, an ORC unit with nominal electrical power 650 kW, a flue gas cleaning systems with a multicyclone and an electrofilter and two heat storage tanks. The DH network is about 20 km with almost 500 supplied users. The ORC unit is used at maximum power in the winter season, and at partial load in summer when the heat load mainly provides domestic hot water. The analyses performed over a whole heating season allowed to define operational patterns of the CHP unit with the overall DH operation. A good electric efficiency at partial loads has been assessed, accordingly to the data provided from the manufacturer. The heat provided by the ORC unit covered a significant share of the heat required from the users, thanks also to the presence of the heat storage systems. The correlation between relevant parameters that describe the behaviour of the system can be useful to analyse other CHP and DH systems with similar layout and operatio

    Thermal design and analysis of a nanosatellite in low earth orbit

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    In this paper, we present the process and the results of the thermal analysis applied to a nanosatellite developed at Politecnico di Torino. First, main mission parameters and the spacecraft design are presented, in order to fix the boundary conditions and the thermal environment used for the analysis. Then, the thermal model built to solve the thermal balance problem is described into details, and the numerical simulation code is presented. Finally, results are given and discussed in depth. The tool developed provides excellent modelling capabilities and temperature distributions have been validated through commercial software. The analysis has been used to refine the spacecraft configuration and to set the requirements applicable to the thermal control system of the satellite. The results showed that a basically passive control is sufficient to maintain most spacecraft's components within their temperature range when appropriate thermal coatings and/or tapes are provided. However, heaters to warm up batteries are recommended to survive coldest condition
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