Designing sensor sets for capturing energy events in buildings

Lovett, Thomas; Lee, Jeehang; Gabe-Thomas, Elizabeth; Natarajan, Sukumar; Brown, Matthew; Padget, Julián; Coley, David

doi:10.1016/j.buildenv.2016.09.004

Cited by 20 publications

(5 citation statements)

References 17 publications

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“…Whereby providing detailed and accurate data about energy consumption patterns and building performance for more targeted and effective energy management strategies, smart metering and sensor technology have been increasingly applied to improve energy efficiency of building energy systems in recent years [40,41]. As a result, the implementation of smart metering and sensor technology may contribute significant energy savings and cost reductions for building owners and operators [42,43]. Thus, it is expected that future building energy systems will become more intelligent by installing various smart IoT devices, building automation systems, distributed energy equipment, electrical measurement devices, and smart meters.…”

Section: Data Collection With Smart Metering and Sensorsmentioning

confidence: 99%

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Liu

Zhang

Sun

et al. 2023

Energy and Buildings

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Section: Data Collection With Smart Metering and Sensorsmentioning

confidence: 99%

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Liu

Zhang

Sun

et al. 2023

Energy and Buildings

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“…PIR sensors are unable to detect static objects. It means that the sensor detects object movements and cannot give information about object location and type [32]. This fact does not allow this sensor to be used in human detection systems because of the high risk of false "zero occupancies" signals.…”

Section: Human Detection System Using Passive Infrared (Pir) Sensorsmentioning

confidence: 99%

HVAC System Control Solutions Based on Modern IT Technologies: A Review Article

2022

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As energy consumption for building engineering systems is a major part of the total energy spent, it is necessary to reduce it. This leads to the need for the development of new solutions for the control of heating, ventilation, and conditioning (HVAC) systems that are responsive to humans and their demands. In this review article, the existing research and technology advancements of the modern technologies of computer vision and neural networks for application in HVAC control systems are studied. Objectives such as human detection and location, human activity monitoring, skin temperature detection, and clothing level detection systems are important for the operation of precise, high-tech HVAC systems. This article tries to compile the latest achievements and principal solutions on how this information is acquired. Moreover, it how parameters such as indoor air quality (IAQ), variable air volume ventilation, computer vision, metabolic rate, and human clothing isolation can affect final energy consumption is studied. The research studies discussed in this review article have been tested in real application scenarios and prove the benefits of using a particular technology in ventilation systems. As a result, the modernized control systems have shown advantages over the currently applied typical non-automated systems by providing higher IAQ and reducing unnecessary energy consumption.

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“…To address RQ1 and the latter half of RQ2, continuous on-site monitoring of T a , RH, and CO 2 was conducted in the investigated buildings (Table 5) (Elnaklah 2020). Continuous measurements were undertaken using Raspberry-Pi-based sensors that have undergone rigorous testing and calibration, making them suitable for obtaining time series with good accuracy (Vellei et al 2016;Lovett et al 2016). Monitored buildings were provided with 83 Raspberry-Pi to monitor air temperature and relative humidity, and 21 Raspberry-Pi to monitor CO2 (Figure 4).…”

Section: Objective Measurementsmentioning

confidence: 99%

Indoor environment quality and work performance in “green” office buildings in the Middle East

2020

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Globally, a primary concern is whether green office buildings perform as promised in terms of providing better indoor environment quality (IEQ) for employees, which may affect their satisfaction and work performance. In the Middle East, although there has been renewed interest in green building design, post occupancy evaluation of performance has never been conducted to-date, and evidence of actual occupant perception in green and non-green buildings is still ambiguous. Hence, we present the first study on IEQ performance in the Middle East. We show that Jordan can be taken as a representative example and systematically compare five "green" office buildings (representing 71% of all green-certified office buildings) against eight comparable conventional office buildings (CBs). Detailed bi-lingual survey data on perceived IEQ (n = 502) and work performance are accompanied by high-resolution continuous physical measurements of air temperature + relative humidity (n = 83) and CO2 concentrations (n = 21) with periodic measurements of mean radiant temperature and air speed, covering two typical summers and one typical winter. Results show both buildings types comply with design standards for indoor CO2 levels, while thermal comfort in green buildings is better than in CBs. However, CBs have a higher overall occupant satisfaction of IEQ. Work performance measured as absolute and relative absenteeism was slightly higher in CBs, with no significant differences in relative and absolute presenteeism between the two buildings types. These findings challenge the notion that green buildings improve occupant satisfaction and work performance over CBs and suggest the need for a better understanding of the performance-satisfaction gap.

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Designing sensor sets for capturing energy events in buildings

Cited by 20 publications

References 17 publications

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

HVAC System Control Solutions Based on Modern IT Technologies: A Review Article

Indoor environment quality and work performance in “green” office buildings in the Middle East

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