1,721,025 research outputs found

    Effects of different architectural solutions on the thermal behaviour in an unconditioned rural building. The case of an Italian winery

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    Referring to the wine sector, in the Mediterranean area, most of the wine farms make use of unconditioned above-ground buildings constructed without a specific attention to temperature control, where indoor temperatures easily show trends in disagreement with correct wine-ageing and conservation. Moreover the suitable temperature ranges can differ from wine to wine, and are considerably different from ideal temperatures for human comfort. This study aimed at testing the effectiveness of different architectural elements in improving the thermal behaviour of unconditioned farm buildings, by means of energy simulations validated on an Italian case-study, comparing the data provided by the simulations with different temperature ranges. Results showed the building thermal performance depends on the chosen intervals, some solution played negative or positive role according to the analysed range and in general roof and wall interventions were more effective than orientation and solar shading, and the combination of more strategies allow to achieve improved results

    ASSESSMENT OF BUILDING SOLUTION EFFECTIVENESS ON A WINERY THERMAL BEHAVIOUR

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    The paper investigates the effects of a pool of building elements on the thermal behavior of a case study winery. Based on the 22 variations considered for the 5 sets of building elements (walls, roof, orientation, glazing, shading), 576 different models have been created, each one analysed by means of 4 energy simulations, according to the combinations of 2 different thermostat settings (temperature ranges suitable for wine ageing and for human activities) and 2 simulation years. The results have been evaluated analyzing the energy needs of each model, showing the high influence of walls and roof on the building energy need. The results have also shown how the influence of each building variant depends also on the temperature range under study. This research can help design and construction professionals to identify the most efficient solutions in relation to the target temperature range

    Smart Green Planning for Urban Environments: The City Digital Twin of Imola

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    Urban green spaces are significant in adjusting the urban microclimate. Street trees are the most influential type of urban vegetation in reducing heat stress. However, simulating trees’ 3D models, wind flow, surface temperature, and radiation parameters in complex urban settings and producing high-resolution microclimate maps is often time-consuming and requires extensive computing processes. Therefore, efficient approaches are needed to visualize green scenarios for the future development of the cities. Smart green planning of Imola aims at developing a microclimate digital twin for the city that provides complementary and supportive roles in the collection and processing of micrometeorological data, automates microclimate modeling, and represents climatic interactions virtually. This chapter sets out to explore the smart green planning of Imola in two parts. The first part is focused on the potential and intentions of developing the urban microclimate digital twin for the city of Imola and its conceptual framework. The second part aims at testing and evaluating the applicability of the proposed microclimate digital twin by implementing it in the city of Imola. This digital twin can provide urban planners and policymakers with a precise and useful methodology for real-time simulation of the cooling effects of the trees and other green systems on urban-scale, pedestrian-level thermal comfort, and also a guarantee for the functionality of policies in different urban settings

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Computer vision, la proposta dell’Università di Bologna

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    In ragione delle opportunità che la computer vision può offrire nell’ambito della zootecnia di precisione, il gruppo di ricerca di ingegneria dei biosistemi – settore costruzioni rurali – del Dipartimento di Scienze e Tecnologie Agroalimentari (DISTAL) dell’Università di Bologna è impegnato da tempo nello sviluppo di procedure e soluzioni informatiche per il riconoscimento automatizzato delle singole bovine all’interno di allevamenti da latte, con la prospettiva futura di giungere ad un riconoscimento anche dei loro pattern comportamentali. Tale attività viene svolta nell’ambito del progetto di ricerca MIUR-PRIN “Smart dairy farming: innovative solutions to improve herd productivity” (www.dairysmart.unimi.it). La procedura di computer vision sviluppata e qui descritta, consiste nell’addestramento di reti neurali per il riconoscimento automatizzato di singoli capi e dell’interpretazione della direzione in cui sono rivolti, al fine di realizzare un sistema di tracciamento per il monitoraggio degli animali nella stalla
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