scholarly journals APPLICATION OF TEMPERATURE CONTROL SYSTEMS AT THE CATALYST ACTIVATION STEP IN THE METHANOL TESTPLANT

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Arya Bhaskara Adiprabowo ◽  
Astri Pertiwi ◽  
Nurdiah Rahmawati ◽  
Frendy Rian Saputro ◽  
Novio Valentino ◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Temperature Control ◽  
Active Sites ◽  
Reduction Process ◽  
Step Response ◽  
Temperature Control System ◽  
Synthesis Process ◽  
Catalyst Activation ◽  
Temperature Controller

Catalyst activation is an important step in methanol synthesis process, achieved by the reduction of CuO precursor producing Cu0 active sites.  Testplant’s temperature operation shall be maintainted at 220°C in order to maximize the CuO reduction process in the catalyst activation step. A temperature control system shall be applied in methanol testplant to maintain the temperature during reduction process, due to sensitivity of reduction process to temperature variation and possibility of disturbance such as change in gas flow rate which could affects the operating temperature. Temperature control systems are tested by using step response at the desired setpoint, which is 220°C at pre-heater and reactor and 60°C at sampling line. The tests are conducted by changing the setpoint value at temperature controller and previously stable flow gas in the system (disturbance rejection). The temperature control system proved to be able to response well during the test. In the end, methanol is produced from syngas, indicating catalyst activation success. Keywords: Catalyst Activation; Methanol Testplant; Temperature Controller

scholarly journals LabVIEW Based Temperature Controller using Arduino

2019 ◽  
Vol 8 (4) ◽  
pp. 6830-6835
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Microsoft Excel ◽  
Set Point ◽  
Temperature Controller ◽  
Cooling Fan ◽  
Automatic Temperature Control ◽  
Red Led ◽  
Green Led

The main aim of this paper provides to existing two types of temperature control system that are automatic temperature control system and manual control system using LABVIEW and Arduino. In this paper, we are designated LABVIEW based temperature controller using Arduino. In this paper, we are operated 5 volt cooling fan when the temperature goes to above the fixed point. Here, we will use LM35 temperature sensor and we are using three different LEDs or single RGB LED to indicate the range of temperature. The design and working operation will classified into three different categories that are first one is when the temperature is above the mark (set) point, in this case the Red LED will glows, second one is when the temperature exists between higher mark point and lower mark (set) point, in this case the Blue LED will glows and third one is when the temperature set the below set point, in this case the Green LED glows. The temperature reading also stored in Microsoft excel sheet. Here we used LABVIEW 2017 software version for designing temperature controller system. The remaining software’s also used for designing temperature controller system but the LabView is the simplest way of remaining all software’s.

Temperature Control System for Recirculation Fish-Holding Facilities

1972 ◽  
Vol 29 (7) ◽  
pp. 1082-1083 ◽  
Author(s):  
K. R. Scott
Keyword(s):  
Stainless Steel ◽  
Control System ◽  
Temperature Control ◽  
The Self ◽  
Temperature Control System ◽  
Electric Resistance ◽  
Electronic Temperature ◽  
Set Point ◽  
Temperature Controller ◽  
Heating And Cooling

The self-contained conditioning unit included heating, refrigeration, filtration, and aeration devices on a caster-mounted frame. Heating and cooling were performed in a stainless steel combination cooler-heater unit. Heating is produced by an electric resistance element and cooling by a water-cooled hermetic refrigeration compressor. Temperatures were maintained within ± 0.06 C degree of set point between 2 and 20 C in two 200-gal tanks using a modulating electronic temperature controller.

Based on DSP Temperature Control System Design

2013 ◽  
Vol 321-324 ◽  
pp. 1337-1341
Author(s):  
Fu Rong Li ◽  
Jian Li Yu ◽  
Ya Zhou Di
Keyword(s):  
Control System ◽  
System Design ◽  
Control Systems ◽  
High Precision ◽  
Temperature Control ◽  
Temperature Control System ◽  
Control System Design ◽  
Output Stability ◽  
Precision Temperature ◽  
Precision Temperature Control

In this paper, it describes a DSP-based TMS320F28335 high-precision temperature control systems and explains its construction and principle. ADC which is integrated within DSP processes the collect temperature and double-controller algorithm controls the PWM output, the temperature can be set faster and more accurate. Simulation obtains two controller output stability, regulation faster, and getting a good robustness.

Application of Intelligent Track Guiding Control Algorithm on the Temperature Control of the Water Bath of a Specific Container

2014 ◽  
Vol 631-632 ◽  
pp. 743-746
Author(s):  
Wen Biao Wang ◽  
Zhan Yuan Ge ◽  
Si Yuan Wang ◽  
Shuang Chen
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Control Algorithm ◽  
External Disturbance ◽  
Bath Temperature ◽  
Operating Conditions ◽  
Water Bath ◽  
Step Response ◽  
Temperature Control System ◽  
Adjustment Time

Aiming at the water bath temperature control system of great inertia, pure time-delay, non-linear and time changeable characteristics, a kind of simple and practical control algorithm is put forward in this paper：ITGC (Intelligent Track Guiding Control). ITGC and PID control system was carried out respectively step response test and the disturbance test in the MATLAB/SIMULINK simulation platform; And can be successfully applied in practical projects. Studies have shown that: ITGC control on the overshoot and adjustment time are better than the conventional PID method, the control scheme has stronger robustness and anti-jamming capability under various operating conditions and an increase in external disturbance case. Successfully resolved the difficulty of time-varying parameters and large lag in the temperature control system.

scholarly journals Evaporative snout cooling system on the performance of lactating sows and their litters in a subtropical region

2015 ◽  
Vol 46 (2) ◽  
pp. 342-347 ◽  
Author(s):  
Jonas Perin ◽  
Thais Schwarz Gaggini ◽  
Samuel Manica ◽  
Diogo Magnabosco ◽  
Mari Lourdes Bernardi ◽  
...  
Keyword(s):  
Weight Loss ◽  
Control System ◽  
Control Systems ◽  
Temperature Control ◽  
Cooling System ◽  
Temperature Control System ◽  
Subtropical Region ◽  
Voluntary Feed Intake ◽  
Lactating Sows ◽  
And Performance

The aim of the study was to evaluate the influence of different temperature control systems on the voluntary feed intake (VFI), percentage of weight loss (PWL) and performance of lactating sows as well as on the weight of their piglets. Two systems were used: traditional temperature control system (TTCS) with curtain management and an evaporative snout cooling system (ESCS). The study was performed during the summer of 2011. After farrowing and at the weaning, 241 sows were weighed to evaluate the PWL during lactation. TTCS sows lost more weight (5.3±0.9%; P<0.05) than ESCS sows (2.2±0.9%). VFI was measured at intervals of four days in 32 primiparous and 39 multiparous sows. ESCS sows had higher VFI (5.8±0.2kg day-1; P<0.05) than TTCS sows (4.8±0.2kg day-1). Primiparous sows (4.4±0.2kg day-1) had a lower VFI than multiparous sows (6.3±0.2kg day-1, P<0.05) regardless of the temperature control system. Primiparous sows in the TTCS (10.9±1.3 days) had a longer weaning-to-oestrus interval than primiparous sows in the ESCS (7.0±1.2 days, P<0.05). Subsequent litter size tended to be higher (P=0.095) in ESCS than in TTCS (12.0±0.5 and 10.9±0.6 piglets born, respectively). Litters housed in ESCS were heavier (65.3±1.4kg; P<0.05) at weaning than litters in TTCS (60.7±1.4kg). The results suggest that in general sows and piglets housed in the ESCS have better performance than sows and piglets housed in TTCS.

Fuzzy Adaptive PID Controller Optimization Design in Temperature Control System

2014 ◽  
Vol 989-994 ◽  
pp. 3157-3160
Author(s):  
Xiao Peng Li ◽  
Lan Zhen Chen
Keyword(s):  
Control System ◽  
Transfer Function ◽  
Control Systems ◽  
Temperature Control ◽  
Pid Controller ◽  
Optimization Design ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Significant Performance ◽  
Fuzzy Adaptive

A new self-adjusting PID controller based fuzzy inferences is proposed. Using fuzzy inferences method, the PID parameters can be adjusted adaptively online for the varying state of the system. This approach has more significant performance and robustness than conventional PID contorllers in any conditions. Traditional fuzzy control systems have difficulties for plants with great delay.A fuzzy PID system based on the Smith compensation theorem is proposed in the paper.It allows to change the transfer function of the plant.Simulation results are also given.

Passive Temperature Control System for An Aerospace Instrument

1966 ◽  
Vol 181 (1) ◽  
pp. 313-329 ◽  
Author(s):  
G. Walker ◽  
Ludwig Wolf
Keyword(s):  
Control System ◽  
Control Systems ◽  
Temperature Control ◽  
Lunar Surface ◽  
Thermal Environment ◽  
Temperature Control System ◽  
Power Weight ◽  
Passive System ◽  
Spectrally Selective ◽  
High Degree

In aerospace instruments, the problem of temperature control can become severe because convettive cooling cannot be used; heat must be transferred by radiative means alone. Systems are exposed to a rigorous thermal environment and there are strict limitations on the power, weight and volumes available. A surprisingly high degree of temperature control can be accomplished, however, by the use of a passive system of spectrally selective surfaces. In this paper, one approach to the design of passive temperature control systems is discussed by detailed reference to an instrument intended for use on the lunar surface.

Temperature Control System for Transformer Three-Phase 50 Hz 2500 kVA

2017 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Suci Rahmatia ◽  
Marsah Zaysi Makhudzia
Keyword(s):  
Optimal Control ◽  
Control System ◽  
Heat Loss ◽  
Temperature Control ◽  
Electrical Energy ◽  
Temperature Control System ◽  
Iron Core ◽  
Electrical Device ◽  
Optimal Control System ◽  
Three Phase

<p><em>Abstrak <strong>- </strong></em><strong>Transformator adalah peralatan listrik yang sangat vital dalam proses pembangkitan maupun transmisi energi listrik karena transformator dapat menaikkan atau menurunkan tegangan. Pada proses menaikkan dan menurunkan tegangan biasanya sering timbul panas akibat rugi – rugi tembaga pada inti besi dan kumparannya sehingga pada kondisi overload akan menimbulkan pemanasan yang berlebih dan dapat mempengaruhi kinerja transformator. Oleh karena itu dibuat sistem kontrol temperatur pada transformer yang dapat mengontrol temperatur di dalam transformator saat bekerja pada kondisi overload, sehigga transformatornya tidak terbakar. Dial thermometer digunakan sebagai alat yang mengontrol temperatur transformator pada sistem kontrol temperatur. Agar mendapatkan sistem kontrol yang optimal, maka setting temperatur pada dial thermometer di sesuaikan dengan temperatur maksimal tranformator dapat bekerja. Sehingga pada saat temperatur tertentu dial thermometer dapat memberikan sinyal untuk membunyikan alarm dan mengaktifkan kontrol kipas sehingga kipas dapat bekerja menurunkan temperatur transformator.<em></em></strong></p><p><strong><em> </em></strong></p><p><strong><em>Kata kunci - </em></strong><em>transformator, rugi – rugi tembaga, temperatur, sistem kontrol, dial thermometer<strong>.</strong></em></p><p><strong><em> </em></strong></p><p><em>Abstract <strong>- </strong></em><strong>A transformer is an electrical device that is vital in the generation and transmission of electrical energy because the transformer can raise (stepping up) or lower (stepping down) the voltage. In the process of raising and lowering the voltage is usually often caused heat loss of copper in iron core and coil so that the overload condition will cause excessive warming and can affect the performance of the transformer. Therefore, a temperature control system on the transformer can control the temperature inside the transformer while working under overload conditions, so the transformer is not burned. Dial thermometer is used as a device that controls the temperature of the transformer in the temperature control system. In order to obtain an optimal control system, the temperature setting on the dial thermometer adjusted to the maximum transformer temperature can work. So that when a certain temperature dial thermometer can provide a signal to sound the alarm and activate the fan control so that the fan can work down the transformer temperature.</strong></p><p><strong> </strong></p><p><strong><em>Keywords -  </em></strong><em>transformator, loss of copper, themperature, control system, dial thermometer<strong></strong></em></p>

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