Two-Position Discontinuous Temperature Control in Electric Space Heating and Cooling Processes I - The Control System

1964 ◽  
Vol 83 (70) ◽  
pp. 17-27 ◽  
Author(s):  
W. K. Roots ◽  
J. M. Nightingale
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Space Heating ◽  
Heating And Cooling ◽  
Electric Space

scholarly journals Intelligent Egg Incubator

2020 ◽  
Vol 2 (2) ◽  
pp. 91-102
Author(s):  
Kaiyisah Baiduri Azahar ◽  
Ericka Ensimau Sekudan ◽  
Ahmad Mirza Azhar
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Sensor ◽  
Threshold Value ◽  
Temperature Control System ◽  
Motion Sensor ◽  
Chicken Egg ◽  
Heating And Cooling ◽  
Cooling Unit ◽  
Chicken Eggs

This research presents the design and development of a chicken egg incubator. The aim is to design and construct an “Intelligent Egg Incubator” that can hatch chicken eggs automatically. In the design, author used a temperature control system that controls the temperature of the incubator. This system consists of a temperature sensor, heating and cooling elements and a controller. If the temperature of the incubator exceeds a certain value, the cooling unit will operate to reduce the temperature while if the temperature goes below another threshold value, the heating element will start to operate to increase the temperature. Furthermore, author used a motion sensor to detect the movements of the eggs. If there is a movement inside the incubator, the owner of the incubator will get the notification about the conditions of the eggs

scholarly journals Energy consumption and modelling of the climate control system in the electric vehicle

2018 ◽  
Vol 37 (1) ◽  
pp. 519-543 ◽  
Author(s):  
Aisling Doyle ◽  
Tariq Muneer
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Electric Vehicle ◽  
Waste Heat ◽  
Cooling System ◽  
Weather Conditions ◽  
Mean Bias Error ◽  
Space Heating ◽  
Climate Control ◽  
Heating And Cooling

With the introduction of electric vehicles in the automobile market, limited information is available on how the battery’s energy consumption is distributed. This paper focuses on the energy consumption of the vehicle when the heating and cooling system is in operation. On average, 18 and 14% for the battery’s energy capacity is allocated to heating and cooling requirements, respectively. The conventional internal combustion engine vehicle uses waste heat from its engine to provide for passenger thermal requirements at no cost to the vehicle’s propulsion energy demands. However, the electric vehicle cannot avail of this luxury to recycle waste heat. In order to reduce the energy consumed by the climate control system, an analysis of the temperature profile of a vehicle’s cabin space under various weather conditions is required. The present study presents a temperature predicting algorithm to predict temperature under various weather conditions. Previous studies have limited consideration to the fluctuation of solar radiation space heating to a vehicle’s cabin space. This model predicts solar space heating with a mean bias error and root mean square error of 0.26 and 0.57°C, respectively. This temperature predicting model can potentially be developed with further research to predict the energy required by the vehicle’s primary lithium-ion battery to heat and cool the vehicle’s cabin space. Thus, this model may be used in a route planning application to reduce range anxiety when drivers undertake a journey under various ambient weather conditions while optimising the energy consumption of the electric vehicle.

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.

A Design of DSPIC Based Microfluidic PCR Chip Temperature Controlling System

2011 ◽  
Vol 108 ◽  
pp. 206-211 ◽  
Author(s):  
Li Wang ◽  
Hui Xue Song ◽  
Tan Chen ◽  
Zhan Hui Wang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Control System ◽  
Pid Algorithm ◽  
Heating And Cooling ◽  
Controlling System ◽  
Stable Performance ◽  
Polymerase Chain ◽  
On Chip ◽  
And Control

In this paper a dsPIC microcontroller based temperature control system is developed for polymerase chain reaction (PCR) on-chip. PCR is one of the most important techniques in molecular biology and temperature control is the key technique of PCR. Yet, most of the works are based on PC, through an RS 232 interface to set and control the temperature. Here we design a temperature control system based on DSPIC Microcontroller. It can be much portable and cheaper than PC based systems. The system configuration mainly consists of a high precision, stable performance sensor PT1000, a signal amplification circuit, a PID algorithm. And then, we use MAX1978 to improve the accuracy of temperature control. After that we choose thermoelectric cooler (TEC) modules as actuator to improve system heating and cooling rate. It is believe that the portable PCR temperature control system will play an important role in the development of the Microfluidic PCR.

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