Smart buildings: A monitoring and data analysis methodological framework

Bolchini, Cristiana; Geronazzo, Angela; Quintarelli, Elisa

doi:10.1016/j.buildenv.2017.05.014

Cited by 33 publications

(12 citation statements)

References 28 publications

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“…Other aspects of indoor environmental quality such as thermal comfort have a closely related cognitive impacts on building occupants [28] which can be mitigated via fans, windows, and other personal comfort devices [22,29,30]. In addition, integration of HVAC systems to a multi-objective optimization where personal CO2 concentrations, thermal comfort and energy consumption [31][32][33] can further improve occupants overall indoor environmental quality and reduce building energy consumption [34][35][36][37]. Time varying personal preferences in terms of thermal comfort [38][39][40] may compete with air quality requirements, which needs further research [41][42][43].…”

Section: Discussionmentioning

confidence: 99%

Personal CO2 bubble: Context-dependent variations and wearable sensors usability

Ghahramani

Pantelic

Vannucci

et al. 2019

Journal of Building Engineering

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High CO2 concentration in inhaled air has been shown to negatively impact work performance and increase acute health symptoms. As respiratory CO2 is constantly exhaled, it may not dissipate in surrounding air in absence of adequate air movement and is instead re-inhaled into the airways (breathing in a CO2-rich bubble). In this study, we explored the impacts of context-dependent factors such as office activities, desk settings, and personal differences on the inhalation zone CO2 concentration and on concentrations at a below-neck wearable sensor. While all factors were found to significantly impact measurements at both measuring points, desk settings (empty desk, desk with a fan, desk with laptop, desk with monitor) was found to be the most dominant factor. Presence of a small portable desk fan was found to significantly reduce the CO2 concentration. On average, we observed a 177 ppm reduction in CO2 concentration when using a fan, which is 25 ppm higher than the background CO2 measurement (650 ppm). Among 41 test subjects, we found distinct relationships between the inhalation zone CO2 concentration and the wearable sensor measurements and, by applying a hierarchical clustering algorithm, we found 4 clusters of relationships. While below-neck wearable sensors could be used as an exact measure of inhalation of CO2 concentration for 29% of the subjects, we identified a boundary point (917 ppm) separating high and low inhalation zone CO2 concentration measurements.

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Section: Discussionmentioning

confidence: 99%

Personal CO2 bubble: Context-dependent variations and wearable sensors usability

Ghahramani

Pantelic

Vannucci

et al. 2019

Journal of Building Engineering

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“…systems that incorporate the concepts of self-learning, analysis and actuation to forecast autonomously the best possible decision. A context where getting smarter will determine great benefits is that of Smart Buildings [Bolchini et al 2017], both residential (smart home) and commercial (smart office), whose relevance is mainly due to their contribution to worldwide energy consumption (about 30-40%) [Chen et al 2009], actually the second largest energy-consuming sector after transportation. Both areas have some common objectives when it comes to using smart systems, such as reducing energy consumption and improving the quality of daily life, according to users' preferences [Shaikh et al 2018].…”

Section: Introductionmentioning

confidence: 99%

Personalized Wellness in Smart Offices

Carchiolo¹,

Longheu²,

Barbera³

et al. 2019

Proceedings of the 16th International Conference on Applied Computing 2019

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IoT and AI are endorsing a historic change in many fields, leading to a smarter world. This also occurs in building management, where energy consumption, climate control and wellness for people are all factors to ve addressed. In this work, the smart office solution deployed inside BAXEnergy is introduced. It aims to reduce energy consumption, improve the quality of daily life while addressing internal security issues.

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“…The term 'smart buildings' refers to buildings empowered by the ICT, with sensors, actuators and embedded systems that allow to collect, filter and produce information to be exploited to provide functions and services [1].…”

Section: Introduction and Leterature Reviewmentioning

confidence: 99%

A New Framework Simulation for Developing and Designing a Smart Campus Application

Rawajbeh¹

2018

IJFCC

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A framework simulation is proposed in this paper for developing a smart university application, incorporating an energy-efficient, sensor and actuator network, and an appropriate information integration methodology based on Semantic Web Service Composition. Real-time monitoring has been considered in this research along with the control of devices towards energy-awareness and optimization. The implementation of the proposed system could be useful in upcoming research where it includes the platform and evaluation of the equipment, network topology and ontology design, to exploit the services pertaining to the system in a most efficient, dynamic and fault tolerant way. Proper Human-Computer Interaction techniques has been employed in this research to provide end users with a user-friendly interface which will help in improving the "effectiveness" of university systems. The main goal of this project is to develop a proof-ofconcept p 1 rototype for a smart university system that will address some important challenges.

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Smart buildings: A monitoring and data analysis methodological framework

Cited by 33 publications

References 28 publications

Personal CO2 bubble: Context-dependent variations and wearable sensors usability

Personal CO2 bubble: Context-dependent variations and wearable sensors usability

Personalized Wellness in Smart Offices

A New Framework Simulation for Developing and Designing a Smart Campus Application

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