The Experts below are selected from a list of 31659 Experts worldwide ranked by ideXlab platform

Seyed Reza Hosseini - One of the best experts on this subject based on the ideXlab platform.

  • cost optimization of a combined power and water desalination plant with exergetic environment and Reliability Consideration
    Desalination, 2012
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Seyed Ehsan Shakib
    Abstract:

    Abstract The present study deals with the multi-objective optimization for designing a combined gas turbine and multi stage flash desalination plant. In optimization approach, the exergetic, economic and environmental aspects have been considered, simultaneously. In order to achieve the optimal design, Multi-objective genetic algorithm (MOGA) is applied as a suitable optimization technique. The thermoenvironomic objective function is obtained by integrating the environmental impacts and thermoeconomic objective. By applying the optimization approach, this objective function is minimized, whereas system exergy efficiency is maximized. Moreover, equipment Reliability using the state-space and the continuous Markov method is incorporated in optimization results to improve the products' cost values. The optimization results show that the cost of products and environmental cost impact are reduced by 13.4% and 53.4%, respectively, whereas a 14.8% increase happens in total exergy efficiency. Therefore, improvement in all objectives has been achieved using the optimization process, although the power and water productions have not changed much. Additionally, the sensitivity analysis shows the relationship between the fuel cost, pollution damage cost and the objective functions.

  • thermoeconomic analysis with Reliability Consideration of a combined power and multi stage flash desalination plant
    Desalination, 2011
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Ali Behbahaninia
    Abstract:

    Abstract This paper deals with the effects of equipment Reliability Consideration to thermoeconomic analysis of a combined power and multi stage flash water desalination plant. Exergy and thermoeconomic models of the considered process units are developed and presented in this work. An economic model of the system is developed according to the Total Revenue Requirement (TRR) method. This application can be very useful, either for the plant management in order to achieve a cost-effective operation, or for a better plant design. Equipment Reliability using the state-space and the continuous Markov method is incorporated in thermoeconomic analysis to improve the cost values. The results show that the power and water costs with Reliability Consideration increased 4.1% and 6.4%, respectively. Additionally, the sensitivity analysis shows the relationship between the production cost and the system availability which can help the designer to decide how to improve the profit or competitiveness.

Majid Amidpour - One of the best experts on this subject based on the ideXlab platform.

  • cost optimization of a combined power and water desalination plant with exergetic environment and Reliability Consideration
    Desalination, 2012
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Seyed Ehsan Shakib
    Abstract:

    Abstract The present study deals with the multi-objective optimization for designing a combined gas turbine and multi stage flash desalination plant. In optimization approach, the exergetic, economic and environmental aspects have been considered, simultaneously. In order to achieve the optimal design, Multi-objective genetic algorithm (MOGA) is applied as a suitable optimization technique. The thermoenvironomic objective function is obtained by integrating the environmental impacts and thermoeconomic objective. By applying the optimization approach, this objective function is minimized, whereas system exergy efficiency is maximized. Moreover, equipment Reliability using the state-space and the continuous Markov method is incorporated in optimization results to improve the products' cost values. The optimization results show that the cost of products and environmental cost impact are reduced by 13.4% and 53.4%, respectively, whereas a 14.8% increase happens in total exergy efficiency. Therefore, improvement in all objectives has been achieved using the optimization process, although the power and water productions have not changed much. Additionally, the sensitivity analysis shows the relationship between the fuel cost, pollution damage cost and the objective functions.

  • thermoeconomic analysis with Reliability Consideration of a combined power and multi stage flash desalination plant
    Desalination, 2011
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Ali Behbahaninia
    Abstract:

    Abstract This paper deals with the effects of equipment Reliability Consideration to thermoeconomic analysis of a combined power and multi stage flash water desalination plant. Exergy and thermoeconomic models of the considered process units are developed and presented in this work. An economic model of the system is developed according to the Total Revenue Requirement (TRR) method. This application can be very useful, either for the plant management in order to achieve a cost-effective operation, or for a better plant design. Equipment Reliability using the state-space and the continuous Markov method is incorporated in thermoeconomic analysis to improve the cost values. The results show that the power and water costs with Reliability Consideration increased 4.1% and 6.4%, respectively. Additionally, the sensitivity analysis shows the relationship between the production cost and the system availability which can help the designer to decide how to improve the profit or competitiveness.

Ali Behbahaninia - One of the best experts on this subject based on the ideXlab platform.

  • thermoeconomic analysis with Reliability Consideration of a combined power and multi stage flash desalination plant
    Desalination, 2011
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Ali Behbahaninia
    Abstract:

    Abstract This paper deals with the effects of equipment Reliability Consideration to thermoeconomic analysis of a combined power and multi stage flash water desalination plant. Exergy and thermoeconomic models of the considered process units are developed and presented in this work. An economic model of the system is developed according to the Total Revenue Requirement (TRR) method. This application can be very useful, either for the plant management in order to achieve a cost-effective operation, or for a better plant design. Equipment Reliability using the state-space and the continuous Markov method is incorporated in thermoeconomic analysis to improve the cost values. The results show that the power and water costs with Reliability Consideration increased 4.1% and 6.4%, respectively. Additionally, the sensitivity analysis shows the relationship between the production cost and the system availability which can help the designer to decide how to improve the profit or competitiveness.

Seyed Ehsan Shakib - One of the best experts on this subject based on the ideXlab platform.

  • cost optimization of a combined power and water desalination plant with exergetic environment and Reliability Consideration
    Desalination, 2012
    Co-Authors: Seyed Reza Hosseini, Majid Amidpour, Seyed Ehsan Shakib
    Abstract:

    Abstract The present study deals with the multi-objective optimization for designing a combined gas turbine and multi stage flash desalination plant. In optimization approach, the exergetic, economic and environmental aspects have been considered, simultaneously. In order to achieve the optimal design, Multi-objective genetic algorithm (MOGA) is applied as a suitable optimization technique. The thermoenvironomic objective function is obtained by integrating the environmental impacts and thermoeconomic objective. By applying the optimization approach, this objective function is minimized, whereas system exergy efficiency is maximized. Moreover, equipment Reliability using the state-space and the continuous Markov method is incorporated in optimization results to improve the products' cost values. The optimization results show that the cost of products and environmental cost impact are reduced by 13.4% and 53.4%, respectively, whereas a 14.8% increase happens in total exergy efficiency. Therefore, improvement in all objectives has been achieved using the optimization process, although the power and water productions have not changed much. Additionally, the sensitivity analysis shows the relationship between the fuel cost, pollution damage cost and the objective functions.

In Su Choi - One of the best experts on this subject based on the ideXlab platform.

  • fuzzy qfd for supply chain management with Reliability Consideration
    Reliability Engineering & System Safety, 2001
    Co-Authors: So Young Sohn, In Su Choi
    Abstract:

    Abstract Although many products are made through several tiers of supply chains, a systematic way of handling Reliability issues in a various product planning stage has drawn attention, only recently, in the context of supply chain management (SCM). The main objective of this paper is to develop a fuzzy quality function deployment (QFD) model in order to convey fuzzy relationship between customers needs and design specification for Reliability in the context of SCM. A fuzzy multi criteria decision-making procedure is proposed and is applied to find a set of optimal solution with respect to the performance of the Reliability test needed in CRT design. It is expected that the proposed approach can make significant contributions on the following areas: effectively communicating with technical personnel and users; developing relatively error-free Reliability review system; and creating consistent and complete documentation for design for Reliability.