A Genetic Algorithm for operation optimization of an industrial cogeneration system

Manolas, D.A.; Gialamas, T.P.; Frangopoulos, Christos A.; Tsahalis, D. T.

doi:10.1016/0098-1354(96)00192-5

Cited by 34 publications

(11 citation statements)

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“…Sob a ótica da operação Cerri et al (2000) investigam a otimização de carga entre os diversos componentes de uma planta de co-geração segundo fatores econômicos e ambientais. Manolas et al (1997) apresentam um algoritmo genético combinado com um simulador para resolver o problema da otimização da operação de um sistema de co-geração sob o ponto de vista da minimização do custo de geração de energia. Outros trabalhos que investigam modelos e algoritmos para a otimização da operação de sistemas de co-geração são apresentados por Yokoyama et al (1994) No caso do ponto de vista das especificações de projeto / configuração a literatura não é tão extensa, destacando-se alguns trabalhos como os de Horii et al (1987) e de Nishi et al (1996).…”

Section: Descrição Do Problemaunclassified

Algoritmos evolucionários na determinação da configuração de custo mínimo de sistemas de co-geração de energia com base no gás natural

Goldbarg

Neto

2005

Pesqui. Oper.

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ResumoEsse trabalho apresenta um caso especial do problema geral da determinação de uma configuração para um sistema de co-geração de energia que utiliza o gás natural como fonte energética. O problema visa determinar a configuração de custo mínimo de um sistema de co-geração. É um problema computacionalmente difícil devido a restrições técnicas, operacionais e econômicas. Para solucioná-lo, são apresentados e comparados algoritmos evolucionários desenvolvidos de acordo com as metáforas dos Algoritmos Genéticos, Algoritmos Meméticos e da Transgenética Computacional. Os algoritmos são aplicados a um conjunto de trinta e cinco instâncias geradas de acordo com cinco diferentes ciclos de co-geração. Os experimentos computacionais relatados nesse trabalho indicam uma dominância de melhores resultados da metáfora transgenética.Palavras-chave: sistema de co-geração; gás natural; algoritmo evolucionário. AbstractThis work presents a special case of the general problem of determining the configuration of cogeneration systems in which the primary source of energy is natural gas. The objective is to determine the configuration with the minimum cost. Technical, operational and economic features impose constraints to the problem making it computationally hard to solve. Evolutionary algorithms based upon genetic, memetic and transgenetic algorithms are presented to solve the problem. A computational experiment with thirty-five instances generated in accordance with five distinct cogeneration cycles is reported. The results show that the transgenetic algorithm exhibits an overall best performance.

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Section: Descrição Do Problemaunclassified

Algoritmos evolucionários na determinação da configuração de custo mínimo de sistemas de co-geração de energia com base no gás natural

Goldbarg

Neto

2005

Pesqui. Oper.

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“…Many engineering design problems are very complex and therefore difficult to solve with conventional optimization techniques (Gen and Cheng, 1997). There are some studies in the literature on using GA for optimization of engine characteristics (Homaifar et al 1994;Manolas et al, 1997;Hao et al, 2001;Ogaji et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Simulation of thermodynamic systems using soft computing techniques

Kesgin

Heperkan

2005

Int. J. Energy Res.

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SUMMARYAn exact thermodynamical analysis of systems is only possible under several assumptions; each of them brings an uncertainty in the solution. Without these assumptions, a thermodynamical analysis of a real application requires thousands of nonlinear equations, whose solution is either almost impossible or takes too much computational time and effort. To overcome this obstacle, the artificial neural network (ANN) and fuzzy logic are magic tools, in particular to analyse the systems for arbitrary input and output patterns. This paper deals with the ANN and fuzzy logic analysis of various thermodynamic systems. The first is an efficiency and emission modelling of a stationary natural gas engine using an ANN model, which is able to obtain the effect of various operational parameters such as charge-pressure and temperature, air fuel equivalence ratio, combustion-start and duration and combustion form on the engine efficiency and NO x emission. The second is a cogeneration power plant with three gas turbines, one steam turbine and a district heating system. The effects of ambient-pressure and temperature, relative humidity, wind-velocity and direction on the plant power are investigated using the ANN model, which is based on the measured data from the plant. The last example is a dryer machine. The dryer machine is modelled first as a thermodynamical system. Then a fuzzy logic model is developed to predict the drying time and the power demand depending on condensation pressure and -temperature and evaporation pressure. All models studied here give very accurate and fast estimations which are comparable with the experimental results.

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“…The energy cost of the system was minimized by a linear programming model and it was revealed that the optimal operational strategies depended on the load conditions as well as on the cost ratio of electricity to gas. Manolas et al [4] applied a genetic algorithm (GA) for the optimization of an industrial cogeneration system, and examined the parameter setting of the GA on the optimization results. They concluded that the GA was successful and robust in finding the optimal operation of a cogeneration system.…”

Section: Introductionmentioning

confidence: 99%

The Optimal Operation Criteria for a Gas Turbine Cogeneration System

et al. 2009

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The study demonstrated the optimal operation criteria of a gas turbine cogeneration system based on the analytical solution of a linear programming model. The optimal operation criteria gave the combination of equipment to supply electricity and steam with the minimum energy cost using the energy prices and the performance of equipment. By the comparison with a detailed optimization result of an existing cogeneration plant, it was shown that the optimal operation criteria successfully provided a direction for the system operation under the condition where the electric power output of the gas turbine was less than the capacity.

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A Genetic Algorithm for operation optimization of an industrial cogeneration system

Cited by 34 publications

References 1 publication

Algoritmos evolucionários na determinação da configuração de custo mínimo de sistemas de co-geração de energia com base no gás natural

Algoritmos evolucionários na determinação da configuração de custo mínimo de sistemas de co-geração de energia com base no gás natural

Simulation of thermodynamic systems using soft computing techniques

The Optimal Operation Criteria for a Gas Turbine Cogeneration System

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