Development of a novel flow control system with arduino microcontroller embedded in double effect absorption chillers using the LiBr/H2O pair

cezar, kleber; Caldas, A.G.A.; Cordeiro, M.C.L.; Santos, Carlos Antônio Cabral; Ochoa, Álvaro; Michima, Paula Suemy Arruda

doi:10.1016/j.ijrefrig.2019.11.014

Cited by 33 publications

(10 citation statements)

References 34 publications

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“…Arduino software: The Arduino modules programming software is a Java application, free, multi-platform, source ope, and easy to use, serving as code editor and compiler. It also makes it possible to transfer the firmware and the program to our module through the USB serial link [15]. The programming language used in the Arduino software is the C language.…”

Section: Outils Softwarementioning

confidence: 99%

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Herbadji¹,

Herbadji²,

Labiad³

2020

RCES

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The main goal of this work is to create an application that has the ability to communicate, connect, and control physical entities via the Internet. This purpose can be achieved by the Internet of Things or Internet of everything (The more complete form) which is a new revolution of the Internet to allow objects to be connected to the internet. Connected objects can communicate with each other or with us via an HTML interface that allows to create a communication between the user and the server ESP8266 through its IP address. Objects have been connected wirelessly (WiFi communication). A sensor is used to collect data then transfer it to the user via the Internet in order to make correct decisions in anywhere at any time.

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Section: Outils Softwarementioning

confidence: 99%

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Herbadji¹,

Herbadji²,

Labiad³

2020

RCES

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“…Unlike the examples presented previously, lowcost portable systems capable of embedding a fuzzy algorithm for level control are rare; this is precisely the scope of this work. Control algorithms can be embedded at low cost into microcontrollers [20], [21], in the same way that fuzzy systems are found in state-of-the-art, oriented to internet of things (IoT) data acquisition [22], and implemented in microcontrollers [23] as low-cost solutions. To address this last issue, some authors have embedded a fuzzy controller into a microcontroller system that makes measurements of the level and controls an actuator to regulate a storage tank's water level.…”

Section: Introductionmentioning

confidence: 99%

Embedded fuzzy controller for water level control

Baquero

Ortega

Moreno

2022

IJECE

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This article presents the design of a fuzzy controller embedded in a microcontroller aimed at implementing a low-cost, modular process control system. The fuzzy system's construction is based on a classical proportional and derivative controller, where inputs of error and its derivate depend on the difference between the desired setpoint and the actual level; the goal is to control the water level of coupled tanks. The process is oriented to control based on the knowledge that facilitates the adjustment of the output variable without complex mathematical modeling. In different response tests of the fuzzy controller, a maximum over-impulse greater than 8% or a steady-state error greater than 2.1% was not evidenced when varying the setpoint.

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“…One of the main alternatives to mitigate these effects is the substitution by absorption refrigeration systems. Since these employ thermal compressors, they present certain advantages such as reduced electricity consumption, low maintenance costs, as well as using environment-friendly refrigerants (Cézar et al, 2020). In addition, they allow the integration of solar energy as the input source, being a fundamental piece for the development of solar cooling systems (Alayi et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Multivariate inverse artificial neural network to analyze and improve the mass transfer of ammonia in a Plate Heat Exchanger-Type Absorber with NH₃/H₂O for solar cooling applications

Tzuc

Chan

Castañeda-Robles

et al. 2022

Energy Exploration & Exploitation

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This work presents a numerical approach to compute optimal operating conditions that maximize the absorption flux into a heat exchanger designed for absorption refrigeration systems. Experimental data were obtained from a test circuit that operates in bubble absorption mode with an inner vapor distributor into a Plate Heat Exchanger-type (PHE-type) and interacts with ammonia vapor, NH3-H2O refrigerant, and cooling water. An artificial neural network (ANN) was trained to correlate the thermal properties of the solution and absorption flux in function of easily measurable parameters (concentrations, mass flows, and pressures of saturated and diluted solutions, flow and temperature of the ammonium vapor, environment temperature, and solution temperature). According to results, ANN is adequate to correlate the operational parameters and the transport phenomena inside the heat exchanger with a precision > 99%. ANN also quantitatively identified the ammonium vapor flow (43.1%), dilute solution flow (18.1%), and dilute solution concentration (13.1%) as the variables most importantly in influencing absorption flux optimization. Subsequently, a multivariable inverse artificial neural network was applied to improve the mass transfer into the PHE-type.It was identified that simultaneous optimization of the ammonia and dilute concentration flow rates improves the absorption flow performance by up to 96.3% under a worst-case scenario (ammonia flow rate<1.4 kg/min) and even 7.04% when even when operating near the amino vapor flow limit (ammonia flow rate>2.0 kg/min). Finally, it was confirmed that incorporating the diluted solution concentration into the optimization contributes to improving the performance of the absorption process 1%. Results obtained are relevant in the search to produce more competitive absorption cooling systems, demonstrating the feasibility of improving the performance of heat exchangers without structural modifications. The proposed methodology represents an interesting option to be implemented to improve performance in solar cooling systems.

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Development of a novel flow control system with arduino microcontroller embedded in double effect absorption chillers using the LiBr/H2O pair

Cited by 33 publications

References 34 publications

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Embedded fuzzy controller for water level control

Multivariate inverse artificial neural network to analyze and improve the mass transfer of ammonia in a Plate Heat Exchanger-Type Absorber with NH₃/H₂O for solar cooling applications

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Development of a novel flow control system with arduino microcontroller embedded in double effect absorption chillers using the LiBr/H2O pair

Cited by 33 publications

References 34 publications

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Information Gathering and Controlling over the Internet by Internet of Things (IoT)

Embedded fuzzy controller for water level control

Multivariate inverse artificial neural network to analyze and improve the mass transfer of ammonia in a Plate Heat Exchanger-Type Absorber with NH3/H2O for solar cooling applications

Contact Info

Product

Resources

About

Multivariate inverse artificial neural network to analyze and improve the mass transfer of ammonia in a Plate Heat Exchanger-Type Absorber with NH₃/H₂O for solar cooling applications