Global optimization for overall HVAC systems––Part II problem solution and simulations

This paper presents the solution for the global optimization problem for overall heating, ventilating and air conditioning (HVAC) systems using a modified genetic algorithm. The whole implementation procedure of the proposed optimal method is provided. Simulation studies for a pilot scale centralized HVAC plant by the proposed optimal method show that the proposed method indeed improves the system performance significantly compared with traditional control strategies.

[1]  J. Mitchell,et al.  Optimal control development for chilled water plants using a quadratic representation , 2001 .

[2]  Hong-Chan Chang,et al.  Genetic aided scheduling of hydraulically coupled plants in hydro-thermal coordination , 1996 .

[3]  Godfrey A. Walters,et al.  Application of genetic algorithms to pump scheduling for water supply , 1995 .

[4]  Man Gyun Na.  Design of a genetic fuzzy controller for the nuclear steam generator water level control , 1998 .

[5]  M. Sakawa,et al.  Fuzzy programming for multiobjective 0–1 programming problems through revised genetic algorithms , 1997 .

[6]  Zhang Lin,et al.  Global optimization of absorption chiller system by genetic algorithm and neural network , 2002 .

[7]  Günter Rudolph,et al.  Convergence analysis of canonical genetic algorithms , 1994, IEEE Trans. Neural Networks.

[8]  Godfrey A. Walters,et al.  Structured messy genetic algorithm approach for the optimal improvement of water distribution systems , 1995 .

[9]  Barrett A. Flake.  Parameter Estimation and Optimal Supervisory Control of Chilled Water Plants , 1998 .

[10]  K.P. Wong,et al.  A genetic algorithm approach for electric pump scheduling in water supply systems , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

[11]  Robert W. Besant,et al.  HVAC Duct System Design Using Genetic Algorithms , 2000 .

[12]  Malcolm Irving,et al.  A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling , 1998 .

[13]  H. N. Lam,et al.  Using genetic algorithms to optimize controller parameters for HVAC systems , 1997 .

[14]  Stephen J. Wright,et al.  Numerical Optimization , 2018, Fundamental Statistical Inference.