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Crowdsensing for a sustainable comfort and for energy saving

机译：拥挤感，可持续舒适，节能

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摘要

Energy efficiency in buildings is a key issue in the current energy transition. In order to reduce building energy consumption, users' behaviour and the perception of indoor environmental comfort must be taken into account; these aspects are inextricably linked to energy demand, consumption and related costs. In this paper, we present the methodological framework, technological solutions and outcomes of the Comfort-Sense project. ComfortSense aimed at decoupling energy demand from indoor comfort. We focused on Heating, Ventilating and Air Conditioning (HVAC) systems in buildings, on users' behaviour and on comfort perception by treating buildings as socio-technical systems. Our approach - which was multidisciplinary and included the contribution of sociologists, physicists and computer scientists - was based on Internet of Things technologies, on a Living Lab design and testing process and on a Crowdsensing approach. Physical parameters (objective variables), such as temperature, CO2 concentration and relative humidity, were measured by a Wireless Sensor Network and by wearable devices, while the users' perception of comfort (subjective variables) were recorded as real-time feedback through a Mobile App in three pilot buildings of the University of Turin, engaging about a thousand buildings' users (professors, researchers, students and employees). Objective and subjective variables were correlated through an ad hoc Direct Virtual Sensor. Thanks to the Direct Virtual Sensor forecasting we demonstrated that, adopting an adaptive indoor comfort management, users' comfort can be remarkably improved while reducing the energy consumption of HVAC systems. (C) 2019 Elsevier B.V. All rights reserved.
机译：建筑的能效是当前能源过渡中的关键问题。为了减少建筑能耗，必须考虑用户的行为和室内环境舒适感；这些方面与能源需求，消耗和相关成本密不可分。在本文中，我们介绍了舒适感项目的方法框架，技术解决方案和成果。 ComfortSense旨在将能量需求与室内舒适性分离。我们专注于建筑物的供暖，通风和空调（HVAC）系统，通过将建筑物视为社会技术系统来关注用户的行为和舒适感。我们的方法是多学科的，包括社会学家，物理学家和计算机科学家的贡献，它基于物联网技术，生活实验室的设计和测试过程以及人群感知方法。物理参数（客观变量），例如温度，CO2浓度和相对湿度，通过无线传感器网络和可穿戴设备进行测量，而用户的舒适感（主观变量）则通过移动设备记录为实时反馈应用程序在都灵大学的三座试点建筑物中，约有一千座建筑物的用户（教授，研究人员，学生和员工）参与其中。客观变量和主观变量通过特设的Direct Virtual Sensor相关联。多亏了Direct Virtual Sensor的预测，我们证明了采用自适应室内舒适度管理，可以显着改善用户的舒适度，同时减少HVAC系统的能耗。 （C）2019 Elsevier B.V.保留所有权利。

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  • 来源
    《Energy and Buildings》 |2019年第3期|208-220|共13页
  • 作者

    Cottafava D.; Magariello S.; Ariano R.; Arrobbio O.; Baricco M.; Barthelmes V. M.; Baruzzo G.; Bonansone M.; Console L.; Contin L.; Corgnati S. P.; Dotta S.; Fabi V.; Gambino P.; Gerlero I.; Giovannoli A.; Grillo P.; Guaschino G.; Landolfo P.; Malano M.; Mana D.; Matassa A.; Monterzino L.; Mosca S.; Nuciari M.; Olivetta E.; Padovan D.; Panto E.; Rapp A.; Sanseverino M.; Sciullo A.; Sella S.; Simeoni R.; Tartaglino A.; Vernero F.;

  • 作者单位

    Univ Turin, Dept Culture Polit & Soc, Lungo Dora Siena 100-A, I-10100 Turin, Italy;

    Anglia Ruskin Univ, Global Sustainabil Inst, 183 East Rd, Cambridge CB1 1PT, England;

    Univ Turin, Dept Culture Polit & Soc, Lungo Dora Siena 100-A, I-10100 Turin, Italy;

    Univ Turin, Dept Culture Polit & Soc, Lungo Dora Siena 100-A, I-10100 Turin, Italy;

    Univ Turin, Dept Chem & NIS, Via P Giuria 7, I-10125 Turin, Italy;

    Polytech Univ Turin, Dept Energy, Corso Duca Abruzzi 24, I-10129 Turin, Italy;

    Screen 99 Sas, Largo Re Umberto I 104, I-10128 Turin, Italy;

    Modelway SrI, Via Livorno 60, I-10144 Turin, Italy;

    Univ Turin, Dept Comp Sci, Corso Svizzera 185, I-10149 Turin, Italy;

    TIM Telecom Italia, Innovat Dept, Via Reiss Romoli 274, I-10148 Turin, Italy;

    Polytech Univ Turin, Dept Energy, Corso Duca Abruzzi 24, I-10129 Turin, Italy;

    Environm Pk SpA, Via Livorno 60, I-10144 Turin, Italy;

    Polytech Univ Turin, Dept Energy, Corso Duca Abruzzi 24, I-10129 Turin, Italy;

    Univ Turin, Dept Phys, Via Pietro Giuria 1, I-10100 Turin, Italy;

    Modelway SrI, Via Livorno 60, I-10144 Turin, Italy;

    CSP, Str Lionetto 6, I-10146 Turin, Italy;

    Sinbit Srl, Corso Re Umberto I 54, I-10128 Turin, Italy;

    Enhancers, Via Carlo Alberto 55, I-10100 Turin, Italy;

    Pro Logic Srl, Via Arnaldo Brescia 9, I-10134 Turin, Italy;

    Pro Logic Srl, Via Arnaldo Brescia 9, I-10134 Turin, Italy;

    TIM Telecom Italia, Innovat Dept, Via Reiss Romoli 274, I-10148 Turin, Italy;

    Univ Turin, Dept Comp Sci, Corso Svizzera 185, I-10149 Turin, Italy;

    Pro Logic Srl, Via Arnaldo Brescia 9, I-10134 Turin, Italy;

    Modelway SrI, Via Livorno 60, I-10144 Turin, Italy;

    Univ Turin, Dept Econ & Social Sci Math & Stat, Corso Unione Soviet 218 Bis, I-10134 Turin, Italy;

    Univ Turin, Dept Econ & Social Sci Math & Stat, Corso Unione Soviet 218 Bis, I-10134 Turin, Italy;

    Univ Turin, Dept Culture Polit & Soc, Lungo Dora Siena 100-A, I-10100 Turin, Italy;

    CSP, Str Lionetto 6, I-10146 Turin, Italy;

    Univ Turin, Dept Comp Sci, Corso Svizzera 185, I-10149 Turin, Italy;

    Screen 99 Sas, Largo Re Umberto I 104, I-10128 Turin, Italy;

    Univ Turin, Dept Culture Polit & Soc, Lungo Dora Siena 100-A, I-10100 Turin, Italy;

    CSP, Str Lionetto 6, I-10146 Turin, Italy;

    TIM Telecom Italia, Innovat Dept, Via Reiss Romoli 274, I-10148 Turin, Italy;

    Univ Turin, Energy Management, I-10100 Turin, Italy;

    Sinbit Srl, Corso Re Umberto I 54, I-10128 Turin, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy saving; Behavioural change; Crowdsensing; Indoor comfort; HVAC; Internet of things;

    机译：节能;行为改变;人群感应;室内舒适度;HVAC;物联网;

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