Real-time optimized HVAC control system on top of an IoT framework

Rajith, Anjali; Sakurai, S.; Matsuo, Hiroshi

doi:10.1109/fmec.2018.8364062

Cited by 30 publications

(27 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the work of Rajith et al [ 13 ], an automatic control system was proposed to act on several individually controlled indoor air conditioning units. Their experiments were performed in an office space during summer season, achieving 20%–40% saving in energy consumption approximately.…”

Section: Resultsmentioning

confidence: 99%

“…Multi-zone management systems are another alternative way to save electricity (e.g., [ 10 , 11 ]). In this line, most works in energy management systems are applied in non-residential buildings (e.g., university campus [ 12 ], office building [ 13 ], kindergarten school [ 14 ], etc. ), providing device connectivity and independent automatic temperature control for each of the different zones.…”

Section: Introductionmentioning

confidence: 99%

“…Energy management systems for non-residential buildings are dealt with in most of the works found in the literature (e.g., university campus [ 12 ], office building [ 13 ], kindergarten school [ 14 ], etc.). In these cases, an independent automatic temperature control for each of the different zones is carried out using techniques based on artificial neural networks (e.g., [ 16 ]), fuzzy logic (e.g., [ 17 ]), genetic algorithms (e.g., [ 18 ]), etc.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, an automatic control system was proposed by Rajith et al [ 13 ] to act on several individually controlled indoor air conditioning units. Although this is not the situation analyzed directly in this article, it is the situation of many other homes, which lack centralized air conditioning and therefore have installed one or more split air conditioner units.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Low-Cost Conversion of Single-Zone HVAC Systems to Multi-Zone Control Systems Using Low-Power Wireless Sensor Networks

Jornet-Monteverde

Galiana-Merino

2020

Sensors

View full text Add to dashboard Cite

This paper presents a novel approach to convert a conventional house air conditioning installation into a more efficient system that individually controls the temperature of each zone of the house through Wi-Fi technology. Each zone regulates the air flow depending on the detected temperature, providing energy savings and increasing the machine performance. Therefore, the first step was to examine the communication bus of the air conditioner and obtain the different signal codes. Thus, an alternative Controller module has been designed and developed to control and manage the requests on the communication bus (Bus–Wi-Fi gateway). A specific circuit has been designed to adapt the signal of the serial port of the Controller with the communication bus. For the acquisition of the temperature and humidity data in each zone, a Node module has been developed, which communicates with the Controller through the Wi-Fi interface using the Message Queuing Telemetry Transport (MQTT) protocol with Secure Sockets Layer / Transport Layer Security (SSL/TLS) certificates. It has been equipped with an LCD touch screen as a human-machine interface. The Controller and the Node modules have been developed with the ultra-low power consumption CC3200 microController of Texas Instruments and the code has been implemented under the TI-RTOS real-time operating system. An additional module based on the Raspberry Pi computer has been designed to create the Wi-Fi network and implement the required network functionalities. The developed system not only ensures that the temperature in each zone is the desired one, but also controls the fan velocity of the indoor unit and the opening area of the vent registers, which considerably improves the efficiency of the system. Compared with the single-zone system, the experiments carried out show energy savings between 75% and 94% when only one of the zones is selected, and 44% when the whole house is air-conditioned, in addition to considerably improving user comfort.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low-Cost Conversion of Single-Zone HVAC Systems to Multi-Zone Control Systems Using Low-Power Wireless Sensor Networks

Jornet-Monteverde

Galiana-Merino

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…This control method generally belongs to the single-objective optimization research, which aims to solely optimize the energy expenditure of the HVAC systems. In the past decades, a large number of research works [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] make great contributions to the energy optimization of the HVAC systems. However, these approaches highly rely on the empirical "comfortable" set-point temperature To overcome the limitations of the single-objective optimization research, many research works propose to apply the multi-objective optimization concept to HVAC control.…”

Section: Indoor Thermal Controlmentioning

confidence: 99%