Internet of Things Based Indoor Cooling System Using Measurement of Human Body Temperature (original) (raw)
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Energy Efficiency in Smart Buildings: An IoT-Based Air Conditioning Control System
IFIP Advances in Information and Communication Technology, 2020
The misuse of high-power electrical appliances such as air conditioners in both commercial and residential buildings has contributed to the inefficient use of energy resources. To face this scenario, smart buildings focus on minimizing energy consumption while improving the experience and productivity of users in these environments. Aiming at optimizing the use of air conditioners towards energy efficiency, this work presents Smart Place, an Internet of Things (IoT)-based ambient management system for automatically controlling those equipments. In this system, sensors and video cameras collect data regarding temperature, humidity, and presence of people in monitored spaces. These data are parameters for performing interventions on air conditioners in order to avoid keeping them turned on when the environment is not being used. The system also provides a Web interface for managing devices and monitored environments as well as it is integrated to the FIWARE platform as underlying middleware. This paper describes Smart Place, its architecture, and its operation at the Federal University of Rio Grande do Norte (UFRN), Natal, Brazil. The paper also discusses the benefits resulted from the automatic intervention performed by Smart Place, which has been able to save 61.8% in energy consumption compared to the traditional manual control in a set of classrooms.
Human Body Temperature based Air Conditioning Control System
International Journal of Engineering Research & Technology (IJERT) , 2014
Abstract—Air Conditioners and air conditioning systems are integral part of almost every building and they contribute a significant part of the total energy consumption. In Nigeria, heating and cooling appliances accounts for about 44% of utility bills. With exponential increase in the use of cooling devices, there is a simultaneous increase in the electrical power consumption and occurrence of health issues, such as building-related symptoms and sick building syndromes due to air conditioners. Hence, there is a need to fathom other ways of operating the air conditioning systems in other to minimize the energy consumption and other health related issues. In view of this, we have applied a Novel control method to regulate the operation of the air conditioning systems in offices and single rooms, based on the occupant’s or resident thermal comfort as against the traditional method based on the indoor temperature. The control signal is based on the occupant’s body temperature which is obtained via sensors on a table within the office or room. This information is sent to a microcontroller (AT89C52) where it is compared with a reference temperature and the air-conditioner is regulated accordingly. The system was evaluated using the body temperature of many people either “with normal” or “above normal” thermal states. The result of the evaluation shows that the system’s response is faster in temperature regulation when used for subjects with body temperature “above normal” thermal state. Furthermore, the operational time of the new method is significantly less than that of the old (traditional) method which definitely accounts for the reduction in the total energy consumption.
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The indoor environment climate should be controlled by continuously maintaining the temperature and relative humidity to achieve thermal comfort. A monitoring system of both parameters is the first step to improving indoor comfort quality. This paper presents a smart wireless climate sensor node for indoor temperature and humidity monitoring with a powering strategy and design approach for autonomous operation. The data logging results are sent to the cloud using Internet of Things protocol for thermal comfort monitoring and analysis. The monitoring and analysis results are useful to monitor and control the indoor thermal comfort condition for room occupants. A sensor node was designed that includes a low-power mode and compact size features. It consists of a built-in AVR-based microcontroller, a temperature and humidity sensor, and a wireless module with a supercapacitor as the power storage. A low-power algorithm and Internet of Things system were implemented to reduce the total e...
Providing Convenient Indoor Thermal Comfort in Real-Time Based on Energy-Efficiency IoT Network
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Monitoring the thermal comfort of building occupants is crucial for ensuring sustainable and efficient energy consumption in residential buildings. It enables not only remote real-time detection of situations, but also a timely reaction to reduce the damage made by harmful situations in targeted buildings. In this paper, we first design a new Internet of Things (IoT) architecture in order to provide remote availability of both indoor and outdoor conditions, with respect to the limited energy of IoT devices. We then build a multi-output prediction model of indoor parameters using a random forest learning algorithm, and based on a longitudinal real dataset of one year. Our prediction model considers outdoor conditions to predict the indoor ones. Hence, it helps to detect discomfort situations in real-time when comparing predicted variables to real ones. Furthermore, when detecting an indoor thermal discomfort, we provide a new genetic-based algorithm to find the most suitable values o...
IJERT-Human Body Temperature based Air Conditioning Control System
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/human-body-temperature-based-air-conditioning-control-system https://www.ijert.org/research/human-body-temperature-based-air-conditioning-control-system-IJERTV3IS052081.pdf Air Conditioners and air conditioning systems are integral part of almost every building and they contribute a significant part of the total energy consumption. In Nigeria, heating and cooling appliances accounts for about 44% of utility bills. With exponential increase in the use of cooling devices, there is a simultaneous increase in the electrical power consumption and occurrence of health issues, such as building-related symptoms and sick building syndromes due to air conditioners. Hence, there is a need to fathom other ways of operating the air conditioning systems in other to minimize the energy consumption and other health related issues. In view of this, we have applied a Novel control method to regulate the operation of the air conditioning systems in offices and single rooms, based on the occupant's or resident thermal comfort as against the traditional method based on the indoor temperature. The control signal is based on the occupant's body temperature which is obtained via sensors on a table within the office or room. This information is sent to a microcontroller (AT89C52) where it is compared with a reference temperature and the air-conditioner is regulated accordingly. The system was evaluated using the body temperature of many people either "with normal" or "above normal" thermal states. The result of the evaluation shows that the system's response is faster in temperature regulation when used for subjects with body temperature "above normal" thermal state. Furthermore, the operational time of the new method is significantly less than that of the old (traditional) method which definitely accounts for the reduction in the total energy consumption.
ComTech: Computer, Mathematics and Engineering Applications
The Internet of Things (IoT) aims to expand the benefits of being connected to the Internet network continuously. It functions as a control system that has been widely applied in various fields because in certain case people are not allowed in certain rooms for security reasons. The research aimed to create a temperature and humidity monitoring system using as many fan controls as expected by utilizing IoT. The model used input in the form of temperature and humidity sensors. The output was a motor driver that drove a fan and used a microcontroller as the main processor. IoT-based systems consisted of hardware and software. Hardware included NodeMCU ESP8266 V3, DHT22 sensor, L298N motor driver module, fan, and computer. Meanwhile, the microcontroller software was made using Arduino IDE. From the test results, the system model works well. Fan control is set manually based on desired room temperature and humidity monitoring based on IoT. A mobile phone can also monitor temperature and...
Sustainability
This study investigates the performance of the thermoelectric air conditioning (TE-AC) system smartly controlled by the Internet of Things (IoT)-based configuration for real tropical climatic application. Air cooling management was done through thermoelectric coolers, and an Arduino microcontroller with various sensors such as a temperature sensor, simple RF modules, and actuators was used to control the indoor climatic conditions based on outdoor conditions. The result shows that when the input power supply to the IoT-based TE-AC system is increased, the cooling capacity of the framework is also enhanced. Significant power and carbon emission reduction was observed for the IoT-based TE-AC system as compared to the TE-AC system without IoT. The IoT-incorporated system also ensures better microclimatic temperature control. Additionally, the system cooling capacity improves by 14.0%, and the coefficient of performance is increased by 46.3%. Thus, this study provides a smart solution t...
Auto Active Airflow-Fan Cooler System Using Internet of Things Technology
Economics and Management Innovations (ICEMI), 2017
This paper is a study and development of a cooling system in automatic control to help solve common household problems, called an Auto Active Airflow-Fan Cooler System, especially in a city surrounded by concrete forests, which are very hot during the daytime. Moreover, heat transfers into a building, for example, a wall, floor or a window, and then kept inside the building. As a result, the building accumulates heat. In addition, the air conditioning results in slower working conditions and uses grater power consumption. The Auto Active Airflow-Fan Cooler System has a mechanism that allows for good ventilation, where windows are closed. The system will automatically run when the house temperature reaches a set point. The evening garden system will continue to work to provide effective ventilation, and will drip during the night, when the temperature in a building drops to a set level. If the Auto Active Airflow-Fan Cooler System is installed in conjunction with the ceiling insulation, it will help to improve the performance. The system developed using Internet of Things (IoT) and Cloud (AWS) technology. The IoT is designed and implemented using low cost Arduino + NRF240L1 technology for automatic temperature measurement, cooling the air in the building, and transmitting/receiving information to/from Cloud via the internet. Cloud (AWS) is used to operate automatically and deciding to run a ventilated fan works. It includes AWS IoT, DynamoDB and EC2 services. The system features are low cost. This technology automatically monitors manages the energy inside the building via web applications and mobile phones.
1st International Conference on Education and Development, 2018
Conventional air conditioner systems do not rely on occupancy. Due to this, excessive power is being wasted and human are being exposed to building related syndromes' (known as sick building syndrome) through air condition. This paper proposed a new wearable control strategy for use in an office or a single room, such that the occupant will wear the device on the wrist, thus controlling the air conditioner by wireless communication instead of the manual control and thus enhancing thermal comfort of occupants at all times. The developed control system ensures that air condition is not in operation at all the times as in the conventional control method but would be in operation only at certain period of times to satisfy occupant's thermal requirement thereby reducing waste of energy. The system response is evaluated using body temperature of different people with normal and above normal temperature. The result of the evaluation shows that the system mean response is 4.3 seconds to temperature below normal. Also, the system mean response to body temperatures above normal is 1.05 seconds faster than below normal.