1,720,966 research outputs found

    Data-Driven Building Energy Modelling – Generalisation Potential of Energy Signatures Through Interpretable Machine Learning

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    Building energy modeling based on data-driven techniques has been demonstrated to be effective in a variety of situations. However, the question about its limits in terms of generalization is still open. The ability of a machine-learning model to adapt to previously unseen data and function satisfactorily is known as generalization. Apart from that, while machine-learning techniques are incredibly effective, interpretability is required for a "human-in-the-loop" approach to be successful. This study develops and tests a flexible regression-based approach applied to monitored energy data on a Passive House building. The formulation employs dummy (binary) variables as a piecewise linearization method, with the procedures for producing them explicitly stated to ensure interpretability. The results are described using statistical indicators and a graphic technique that allows for comparison across levels in the building systems. Finally, suggestions are provided for further steps toward generalization in data-driven techniques for energy in buildings

    Energy Signature Modeling Towards Digital Twins – Lessons Learned From a Case Study With TRV and GAHP Technologies

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    In building refurbishment projects, efficient technologies such as heat pumps are increasingly being used as a substitute for conventional technologies such as condensing boilers, with the aim of reducing carbon emissions and determining operational energy and cost savings. Measured building performance, however, often reveals a significant gap between the predicted energy use (design stage) and actual energy use (operation stage). For this reason, a scalable energy signature modeling approach is presented in this paper to verify building energy performance from measured data. Regression models are built with data at multiple temporal resolutions (monthly and daily) and are used to verify the performance improvement due to smart heating controllers (TRV) and Gas Absorption Heat Pumps (GAHP). The capabilities of energy signature analysis are enhanced by including additional variables in the modeling process and by running the models as “digital twins” with a rolling horizon of 15 days of data. Finally, a regression model for GAHP technology is developed to validate the results measured in the monitoring process in a comparative way. The case study chosen is Hale Court sheltered housing, located in the city of Portsmouth (UK). The results obtained are used to illustrate possible extensions of the use of energy signature modeling, highlighting implications for energy management and innovative building technologies development

    The Amintore Galli Theatre in Rimini: A Dataset of Building Simulation Tools for its Acoustic Design

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    The Amintore Galli theater in Rimini re-opened in 2018, after more than 60 years of inactivity. Its acoustics have been studied in depth, starting in 2009 until the reopening of the theater. This paper analyses the following different steps of the acoustic design of the Opera House: the analysis of the acoustics of similar other theaters, the design of the acoustics of the new main hall, the analysis of the acoustic characteristics of the diffusing panels in the theater, and the acoustic design of other rooms, including the rehearsal room. Moreover, this paper reports some of the most relevant results of the acoustic surveys conducted after the re-opening, comparing the values of some acoustic parameters obtained after the simulation processes, and the values of the same parameters during the final validation of the theater

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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