Ventilation Monitoring and Control System for High Rise Historical Buildings

Singh, Abhishek; Pandey, Y.; Kumar, Ashok; Singh, Manoj Kumar; Kumar, Anuj; Mukhopadhyay, Subhas Chandra

doi:10.1109/jsen.2017.2756978

Cited by 17 publications

(10 citation statements)

References 24 publications

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“…Ventilation allocates the fresh air inside building or space and distributes air within the building or room. The overall aim of the ventilation in residential building is to provide better breathing air by both diluting and removing pollutants from the building 62,63 . The quality of indoor air can be tracked and evaluated using sensors, graphical user interface apps and communication technologies 64 .…”

Section: Building Simulation Results and Discussionmentioning

confidence: 99%

“…The overall aim of the ventilation in residential building is to provide better breathing air by both diluting and removing pollutants from the building. 62,63 The quality of indoor air can be tracked and evaluated using sensors, graphical user interface apps and communication technologies. 64 For the ventilation system, SP:41(S&T) standard recommends an exhaust fan of 90 Watts for buildings like homes and small offices to maintain good air quality.…”

Section: Indoor Air Quality and Ventilationmentioning

confidence: 99%

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ANN‐based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making

Verma

Prakash

Kumar

2020

Env Prog and Sustain Energy

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The energy consumption in the residential sector has been increased steadily and occupied approximately 30–40% of overall energy consumption. Recent researches on energy consumption have highlighted the significance of residential building energy consumption forecast for enhanced decision‐making in terms of an energy conservation plan. Therefore, it is essential to predict the energy consumption of a residential building by developing a precise prediction model with 95% coefficient bounds. In this paper, an energy consumption data‐driven prediction model is developed using the artificial neural network (ANN) and TRNSYS software. This ANN model is trained with deep learning by using the Levenberg–Marquardt backpropagation algorithm. A 2BHK single‐story multizone residential building having six zones (two bedrooms, one living room, one kitchen, and two toilets) has been modeled in TRNSYS to estimate the energy consumption based on predicted temperature and humidity. First, the data mining technique is used to discover and summarize the historical weather data for temperature and relative humidity prediction. Secondly, the cooling and heating energy consumption has been estimated based on predicted relative humidity and temperature in TRNSYS. In contrast, the energy consumption of ventilation and lighting system is calculated mathematically based on SP 41 standard.

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Section: Building Simulation Results and Discussionmentioning

confidence: 99%

Section: Indoor Air Quality and Ventilationmentioning

confidence: 99%

ANN‐based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making

Verma

Prakash

Kumar

2020

Env Prog and Sustain Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…(1) a group of authors focused only on the public buildings, (2) another group of authors that focused only on the residential buildings, and (3) a group of authors presenting low- It is worthwhile to note that, 41.7% of the investigated articles, carried out field assessment of indoor air quality in educational buildings [120], historical buildings [121], residential buildings [122,123], and laboratory building [124]. One-third of the authors used laboratory prototype for calibration of the sensors.…”

Section: Thermal Comfort and Hvac (Category 3)mentioning

confidence: 99%

“…Full-fledged bank-card sized computers are the core of the majority of the reviewed papers presenting low-cost data acquisition system. Examples of these microcontrollers are Arduino Uno [121], Arduino MEGA [136], Arduino Due [192], Arduino Nano [127], Raspberry Pi [137], Orange Pi [193], STM32F7 [194], ESP8266 [195], Thikerforge Bricklet [98], GR-SAKURA [174], Beaglebone [196], PIC16F873 [162], PIC18F4620 [197], PIC18F458 [141], and PIC18F45K50 [188]. Considering the aim of the metering system to be established, the options provided by the microcontroller, nature of the experiment, and the processing capacity of the microcontroller, a user can choose the most adequate microcontroller.…”

Section: Studying Microcontrollers and Communication Protocols In Literaturementioning

confidence: 99%

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

et al. 2021

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In recent years, many scholars have dedicated their research to the development of low-cost sensors for monitoring of various parameters. Despite their high number of applications, the state of the art related to low-cost sensors in building monitoring has not been addressed. To fill this gap, this article presents a systematic review, following well-established methodology, to analyze the state of the art in two aspects of structural and indoor parameters of buildings, in the SCOPUS database. This analysis allows to illustrate the potential uses of low-cost sensors in the building sector and addresses the scholars the preferred communication protocols and the most common microcontrollers for installation of low-cost monitoring systems. In addition, special attention is paid to describe different areas of the two mentioned fields of building monitoring and the most crucial parameters to be monitored in buildings. Finally, the deficiencies in line with limited number of studies carried out in various fields of building monitoring are overviewed and a series of parameters that ought to be studied in the future are proposed.

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“…In closed spaces holding many people, CO 2 levels can exceed those recommended for health reasons, due to the increase of CO 2 from exhaled air. Therefore, it is highly advisable to have a quick way to determine the CO 2 level in closed crowded places [15,16]. There have been some studies to monitor the levels of CO 2 inside classrooms to determine whether air quality regulations are being complied with, using continuous commercially available CO 2 sensors [17,18].…”

Section: Introductionmentioning

confidence: 99%

Optical portable instrument for the determination of CO2 in indoor environments

Fernández-Ramos

Moreno-Puche

Escobedo

et al. 2020

Talanta

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A portable device based on a colorimetric sensor to determine the atmospheric level of CO 2 gas is presented in this work. The system is based on a low-cost, low-power System on a Chip (SoC) microcontroller with integrated Wi-Fi. A user-friendly application was developed to monitor and log the CO 2 measurements when the system is connected to a Wi-Fi network. The sensing membrane is directly deposited on the surface of the colour detector, thus reducing the complexity of the system. This sensing membrane is formed by a pH indicator α-naphtholphthalein, tetramethylammonium hydroxide pentahydrate, 1-ethyl-3-methylimidazolium tetrafluoroborate, Tween 20 and hydroxypropyl methylcellulose as the hydrophilic polymer. The system has been fully characterized, obtaining response and recovery times of 1.3 and 2.5 s, respectively, a limit of detection of 51 ppm, and an average resolution of 6.3 ppm. This portable device was applied for the in-situ determination of CO 2 gas in the atmosphere inside classrooms in several secondary schools. The measurements were taken during complete workdays and the results were statistically compared with the same measurements taken using a commercially available non-dispersive infra-red (NDIR) device. No significant statistical differences were found between the results obtained using both devices. A complete statistical treatment of the measurements made with the proposed portable device was carried out. The obtained results show that the *Revised Manuscript (clean copy) Click here to view linked References 2 concentration of CO gas in some schools was higher than the desired concentration, with regard to influencing the student's health, safety, productivity and comfort. This demonstrates the need to control this parameter to ensure appropriate indoor environmental quality (IEQ).

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Ventilation Monitoring and Control System for High Rise Historical Buildings

Cited by 17 publications

References 24 publications

ANN‐based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making

ANN‐based energy consumption prediction model up to 2050 for a residential building: Towards sustainable decision making

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

Optical portable instrument for the determination of CO2 in indoor environments

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