Randall K. Nichols
Engineering at Long Crk Dr, Corpus Christi, TX

License number
Louisiana PE.0013251
Issued Date
Jun 13, 1972
Category
Civil Engineer
Type
Chemical Engineer
Address
Address
5953 Long Creek Dr, Corpus Christi, TX 78414

Personal information

See more information about Randall K. Nichols at radaris.com
Name
Address
Phone
Randall Nichols, age 56
420 Anderson Rd, Cuero, TX 77954
(361) 275-9941
Randall Nichols, age 57
PO Box 487, Sundown, TX 79372
Randall Nichols
PO Box 1671, Port Lavaca, TX 77979
Randall Nichols, age 73
1209 Booty Rd, Georgetown, TX 78628
(512) 470-4134
Randall Nichols
12025 Richmond Ave, Houston, TX 77082

Professional information

See more information about Randall K. Nichols at trustoria.com
Randall Nichols Photo 1
Method And Apparatus For Power Plant Simulation And Optimization

Method And Apparatus For Power Plant Simulation And Optimization

US Patent:
5347466, Sep 13, 1994
Filed:
Jul 15, 1991
Appl. No.:
7/731204
Inventors:
Randall K. Nichols - Corpus Christi TX
Charles M. Thatcher - Fayetteville AR
Assignee:
The Board of Trustees of the University of Arkansas - Little Rock AR
International Classification:
G06F 1520, F01K 1302
US Classification:
364492
Abstract:
A system for simulating and optimizing a powerhouse, designed to furnish electrical power to a process plant, incorporates a plurality of units for simulating operation of the individual components of the powerhouse, and for calculating the cost of operation of the system as a whole, including the cost of fuel for the powerhouse components and the cost of purchased power needed to satisfy the power demand of the process plant beyond the capacity of the powerhouse. An adaptive search routine varies all of the operative parameters of the powerhouse, on a random basis, and repeats the simulation, in order to identify a combination of parameters which represents a lower cost solution. The range of random variation is reduced, as lower cost solutions are not found within a given number of repetitions, in order to identify a precise convergence on the optimum solution. The procedure may be restarted, and repeated many times, with the range of variation each time initially at maximum, in order to insure the identification of the global optimum.