1997
DOI: 10.1016/s0196-8904(96)00203-8
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Operation optimization of an industrial cogeneration system by a genetic algorithm

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Cited by 60 publications
(20 citation statements)
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“…Related studies that have used ANN to predict engine performance and exhaust emissions include studying the performance and exhaust emissions of a diesel engine [23]; developing correlation among torque, brake power, BSFC, volumetric e ciency, and exhaust emissions [24]; and predicting the engine brake power, torque, and the exhaust emissions [25]. Other related works include those that have focused on the use of optimization methods in engine improvement [26][27][28]. In this regard, Kesgin has employed the Genetic Algorithm (GA) and neural networks to predict the e ects of design and operational parameters on engine e ciency and NOx emissions of a natural gas engine [26].…”
Section: Motivation and Related Workmentioning
confidence: 99%
“…Related studies that have used ANN to predict engine performance and exhaust emissions include studying the performance and exhaust emissions of a diesel engine [23]; developing correlation among torque, brake power, BSFC, volumetric e ciency, and exhaust emissions [24]; and predicting the engine brake power, torque, and the exhaust emissions [25]. Other related works include those that have focused on the use of optimization methods in engine improvement [26][27][28]. In this regard, Kesgin has employed the Genetic Algorithm (GA) and neural networks to predict the e ects of design and operational parameters on engine e ciency and NOx emissions of a natural gas engine [26].…”
Section: Motivation and Related Workmentioning
confidence: 99%
“…2 The cogeneration plant is switched off below this threshold. The presence of lower output limits can be addressed by resorting to a mixed integer nonlinear programming algorithm or other heuristics [24,49,50] in which the on/off operation of each unit is expressed by a specific integer variable. In alternative, the optimization problem can first be solved by setting the lower limits to zero, and then by repeating the calculation by switching the unit off in case of technically infeasible result [51].…”
Section: Formulation Of the Cchp System Operational Optimization Problemmentioning
confidence: 99%
“…Similarly, the cost of the imported energy and the equipment operational cost are obtained from the Eqs. (1), (2), (3), (6). The daily energy exchange profit is derived from the objective value (8).…”
Section: Case Studymentioning
confidence: 99%
“…related to electric power and thermal capacity [1][2][3][4][5][6][7]. Pioneering contributions were made in the late 80s incorporating power trades between the cogeneration plants and electric distribution utility [8,9] inspired by the spot pricing theory condensed in Ref.…”
Section: Introductionmentioning
confidence: 99%