Ukpaka Chukwuemeka Peter
Orie Kenneth Eze
- Professor, Department of Chemical/Petrochemical Engineering, Rivers State University Port Harcourt, PMB 5080, Rivers State, Nigeria
- Lecturer, Department of Electrical Engineering, Rivers State University Port Harcourt, PMB 5080, Rivers State, Nigeria
- Lecturer, Department of Chemical/Petrochemical Engineering, Rivers State University Port Harcourt, PMB 5080, Rivers State, Nigeria
Mathematical model was developed to monitor, predict, and stimulate hot and cold water system using split range control application. Computer program language of MATLAB software of ODE function was applied to monitor the trend of temperature parameter in the system. Result obtained revealed decrease in temperature value of the hot water and increase in the temperature value of cold water until equilibrium was attained at 132°F at > 1.0 h. A constant in the degree of temperature of the cold water was obtained at 135°F as well as for hot water is 53°F. The research work demonstrates the application of split range control in monitoring, predicting and simulating the hot to cold water system.
Keywords: Model, predict, split range, control, hot, cold water system
[This article belongs to Journal of Water Pollution & Purification Research(jowppr)]
1. Richalet, J., Rault, A., Testud, J.L., et.al. Model Algorithmic Control of Industrial Processes. IFAC Proceedings Volumes. 1977; 10(16): 103–120.
2. Aguilera, N., Marchetti, J.L. Optimizing and controlling the operation of heat exchanger networks. AIChE J. 1998; 44(5): 1090–1104.
3. Bao, J., Zhang Wen Z., Lee, Peter L. Passivity-Based Decentralized Failure-Tolerant Control. Ind. Eng. Chem. Res. 2002; 41(23): 5702–5715.
4. Glemmestad, B.,Mathisen, K.W., Gundersen, T. Optimal operation of heat exchanger networks based on structural information. Comput. Chem. Eng. 1996; 20: S823–S828.
5. Dahlin, E. B. Designing and Tuning Digital Controllers. Instruments and Control Systems. 1968; 41(6): 77–84.
6. Glemmestad, B. S.,Skogestad, T., Gundersen, T. Optimal Operation of Heat Exchanger Networks. Comput. Chem. Eng. 1999; 23(4–5): 509–522.
7. Smith, O. J. M. Close Control of Loops with Dead Time. Chemical Engineering Progress. 1957; 53(5): 217–219.
8. Ukpaka, C. P, Nnadi V. G. Smokeless Flare Modeling of an associated gas in a production oil flied. Journal of Modelling, Simulation and Control (AMSE). 2008; 69(1): 29–46.
9. Ukpaka, C. P., Farrow S.T. Development of model for temperature distribution on fin material during ethanol production. Nigerian Journal of Research and Production. 2009; 14(1): 202–217.
10. Ukpaka, C. P, Ndor, V. M. The Flow characteristics of fluid (hexane) and its effectiveness on orifice plate using pneumatic proportional control. Journal of Engineering and Technology Research. 2013; 5(5): 112–121.
11. Ukpaka, C.P. Amadi, S.A., Orji, G.A. Design and Development of Mathematical model to monitor and predict the characteristic of Bellow in fluid systems. Global Journal of Engineering and Technology. 2011; 4(4): 441–448.
12. Ukpaka, C. P, B. Otabiri. Responses Application to monitor and predict of crude Distillation rate using Pneumatic control System on a Furnace. Journal of Engineering and Technology Research. 2013; 5(7): 217–229.
|Received||February 26, 2021|
|Accepted||April 14, 2021|
|Published||May 21, 2021|