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Adhitya, Dicky Putra - One of the best experts on this subject based on the ideXlab platform.

  • Studi Koordinasi Proteksi Pada Generator Turbin Gas 26 MW Sistem Kelistrikan PT. Petrokimia Gresik
    2021
    Co-Authors: Adhitya, Dicky Putra
    Abstract:

    PT. Petrokimia Gresik memiliki sistem dengan komponen kelistrikan yang sangat kompleks dan memerlukan perhatian lebih pada segi koordinasi proteksi sistem kelistrikannya. Terjadinya gangguan terhadap frekuensi saat terjadi gangguan pada pembangkit PLN menyebabkan generator pembangkit pada Gresik Gas Cogeneration Plant PT. Pupuk Indonesia Energi mengalami trip. Sehingga perlu dilakukan perubahan koordinasi proteksi generator pembangkit dan juga peningkatan kualitas setting dari rele pengaman tersebut. Oleh sebab itu diusulkan topik tugas akhir ini sebagai studi untuk membantu setting koordinasi proteksi rele pada generator turbin gas 26 MW Gresik Gas Cogeneration Plant. Kondisi operasi abnormal pada generator dapat menyebabkan kerusakan pada generator dan ketidak andalan pada sistem kelistrikan. Evaluasi rele-rele yang aktif meliputi rele eksitasi berlebih, rele frekuensi, rele daya balik, rele generator unbalance, dan rele loss of field pada topik ini dikhususkan untuk memperbaiki setting eksisting untuk disesuaikan dengan standar yang ada, sehingga generator akan terlindungi dengan baik saat terjadi gangguan eksternal generator. ================================================================================================ PT Petrokimia Gresik has a system with very complex electrical components and requires more attention in terms of coordinating the protection of the electrical system. The occurrence of disturbances to the frequency at the time of the disruption of PLN generator caused the generator at the Gresik Gas Cogeneration Plant PT. Pupuk Indonesia Energi is on a trip. So it is necessary to change the coordination of generator protection and also to improve settings quality of the safety relay. Therefore, the topic of this final project is proposed as a study to assist the setting of relay protection coordination in the Gresik Gas Cogeneration Plant gas turbine generator 26 MW. Abnormal operating conditions on the generator can cause damage to the generator and unreliability of the electrical system. Evaluation of active relays including over-excitation relays, frequency relays, reverse power relays, generator unbalance relays, and loss of field relays on this topic is devoted to improving the existing settings to be adjusted to existing standards, so that the generator will be well protected when an accident generator external fault occurs

  • Studi Koordinasi Proteksi Pada Generator Turbin Gas 26 MW Sistem Kelistrikan PT. Petrokimia Gresik
    'Lembaga Penelitian dan Pengabdian kepada Masyarakat ITS', 2021
    Co-Authors: Adhitya, Dicky Putra, Pujiantara Margo
    Abstract:

    PT. Petrokimia Gresik memiliki sistem dengan komponen kelistrikan yang sangat kompleks dan memerlukan perhatian lebih pada segi koordinasi proteksi sistem kelistrikannya. Terjadinya gangguan pada pembangkit PLN menyebabkan generator pembangkit pada Gresik Gas Cogeneration Plant PT. Pupuk Indonesia Energi mengalami trip. Sehingga perlu dilakukan perubahan koordinasi proteksi generator pembangkit dan juga peningkatan kualitas setting dari rele pengaman tersebut. Oleh sebab itu diusulkan topik tugas akhir ini sebagai studi untuk membantu setting koordinasi proteksi rele pada generator turbin gas 26 MW Gresik Gas Cogeneration Plant. Kondisi operasi abnormal pada generator dapat menyebabkan kerusakan pada generator dan ketidak andalan pada sistem kelistrikan. Evaluasi rele-rele yang aktif meliputi rele eksitasi berlebih, rele frekuensi, rele daya balik, rele generator unbalance, dan rele loss of field pada topik ini dikhususkan untuk memperbaiki setting eksisting untuk disesuaikan dengan standar yang ada, sehingga generator akan terlindungi dengan baik saat terjadi gangguan eksternal generator

Smith Lawrence - One of the best experts on this subject based on the ideXlab platform.

Manuel E. Cruz - One of the best experts on this subject based on the ideXlab platform.

  • maximization of the profit of a complex combined cycle Cogeneration Plant using a professional process simulator
    Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2010
    Co-Authors: Leonardo S. Vieira, Manuel E. Cruz, C F T Matt, Vanessa G Guedes, Fernando V Castelloes
    Abstract:

    The high cost of energy resources has driven a strong and continued quest for their optimal utilization. In this context, modern thermoeconomic optimization techniques have been developed to analyze and design improved energy systems, leading to a better compromise between energetic efficiency and cost. Thermoeconomic optimization can be parametric (Plant configuration is fixed), applicable both at the design phase or operation phase of a system, or structural (Plant configuration may vary). In practice, mathematical thermoeconomic optimization may be accomplished in two ways: (i) the conventional way, which manipulates all pertinent equations simultaneously or (ii) integrated with a professional process simulator, such that the equations are manipulated separately. In the latter case, the simulator deals with the thermodynamic property and balance equations, while an external optimization routine, linked to the simulator, deals with the economic equations and objective function. In this work, a previous implementation of an integrated approach for parametric mathematical thermoeconomic optimization of complex thermal systems is applied to an actual combined-cycle Cogeneration Plant located in the outskirts of the city of Rio de Janeiro in Brazil. The Plant contains more than 60 thermal components, including two gas turbines, one steam turbine, and two heat recovery steam generators. Several hundred variables are required to simulate the Plant at one operational steady-state. The Plant produces 380 MW of power nominally, and exports a mass flow rate between 200 tons/h and 400 tons/h of superheated process steam, at 45 bars and 404°C, to a neighboring refinery. The simulator is the THERMOFLEX software, which interfaces with the Microsoft Excel program. The optimization routine is written in the Visual Basic for Applications language and is based on Powell’s method. The Cogeneration Plant operates subjected to time-changing economic scenarios, because of varying fuel, electricity, and steam prices. Thus, to manage the Plant, it is necessary to vary the operational state appropriately as the economic parameters change. For a prescribed economic scenario, previous work determined the minimum operational cost, when a fixed contracted hourly-rate of process steam was to be exported, while a variable amount of electrical power was produced. In this paper, a broader optimization problem is formulated and solved, for which the objective is to maximize the Plant profit under different economic scenarios. It is shown that the optimal operating conditions depend on the economic parameters, and do not necessarily imply maximum efficiency. The integrated optimization approach proves effective, robust, and helpful for optimal Plant management.

  • Exergoeconomic improvement of a complex Cogeneration system integrated with a professional process simulator
    Energy Conversion and Management, 2009
    Co-Authors: Leonardo S. Vieira, João L M Donatelli, Manuel E. Cruz
    Abstract:

    In this paper, the application of an iterative exergoeconomic methodology for improvement of thermal systems to a complex combined-cycle Cogeneration Plant is presented. The methodology integrates exergoeconomics with a professional process simulator, and represents an alternative to conventional mathematical optimization techniques, because it reduces substantially the number of variables to be considered in the improvement process. By exploiting the computational power of a simulator, the integrated approach permits the optimization routine to ignore the variables associated with the thermodynamic equations, and thus to deal only with the economic equations and objective function. In addition, the methodology combines recent available exergoeconomic techniques with qualitative and quantitative criteria to identify only those decision variables, which matter for the improvement of the system. To demonstrate the strengths of the methodology, it is here applied to a 24-component Cogeneration Plant, which requires O(103) variables for its simulation. The results which are obtained, are compared to those reached using a conventional mathematical optimization procedure, also coupled to the process simulator. It is shown that, for engineering purposes, improvement of the system is often more cost effective and less time consuming than optimization of the system.

  • optimization of the operation of a complex combined cycle Cogeneration Plant using a professional process simulator
    Volume 8: Energy Systems: Analysis Thermodynamics and Sustainability; Sustainable Products and Processes, 2008
    Co-Authors: Leonardo S. Vieira, Manuel E. Cruz, C F T Matt, Vanessa G Guedes, Fernando V Castelloes
    Abstract:

    Thermoeconomic optimization is a relatively modern technique to analyze and design more efficient energy systems, leading to a better compromise between energetic efficiency and cost. Thermoeconomic optimization can be parametric (Plant configuration is fixed), applicable both at the design phase or the operation phase of an energy system, or structural (Plant configuration may vary). In practice, mathematical thermoeconomic optimization may be accomplished in two ways: (i) the conventional way, which manipulates all pertinent equations simultaneously, or (ii) integrated with a professional process simulator, such that the equations are manipulated separately. In the latter case, the simulator deals with the thermodynamic property and balance equations, while an external optimization routine, linked to the simulator, deals with the economic equations and objective function. In this work a previous implementation of an integrated approach for parametric mathematical thermoeconomic optimization of complex thermal systems is applied to an actual combined-cycle Cogeneration Plant located in the outskirts of the city of Rio de Janeiro, in Brazil. The simulator is the Thermoflex software, which interfaces with the MS-Excel program. Thus, the Powell’s method for optimization integrated with Thermoflex is written in the VBA language. The Plant contains more than 60 thermal components, including two gas turbines, one steam turbine, and two heat recovery steam generators. Simulation of one operational condition of the Plant requires several hundred variables. The Plant produces nominally 380 MW of power, and exports a mass flow rate between 200 and 400 ton/h of superheated process steam, at 45 bar and 404°C, to a neighboring refinery. The Cogeneration Plant operates subjected to an economic scenario, which changes with time, because of varying fuel, electricity, and steam prices. Therefore, to manage the Plant, it is important to know the minimum operational cost, when a fixed contracted hourly-rate of process steam has to be exported, while a variable amount of electrical power is produced. An optimization problem can thus be formulated, for which the objective is to minimize the cost of consumed resources per unit electrical power generated. Results of optimization exercises to determine the optimal operational conditions of the Plant for various exported mass flow rates of process steam are presented and discussed.Copyright © 2008 by ASME

Pujiantara Margo - One of the best experts on this subject based on the ideXlab platform.

  • Studi Koordinasi Proteksi Pada Generator Turbin Gas 26 MW Sistem Kelistrikan PT. Petrokimia Gresik
    'Lembaga Penelitian dan Pengabdian kepada Masyarakat ITS', 2021
    Co-Authors: Adhitya, Dicky Putra, Pujiantara Margo
    Abstract:

    PT. Petrokimia Gresik memiliki sistem dengan komponen kelistrikan yang sangat kompleks dan memerlukan perhatian lebih pada segi koordinasi proteksi sistem kelistrikannya. Terjadinya gangguan pada pembangkit PLN menyebabkan generator pembangkit pada Gresik Gas Cogeneration Plant PT. Pupuk Indonesia Energi mengalami trip. Sehingga perlu dilakukan perubahan koordinasi proteksi generator pembangkit dan juga peningkatan kualitas setting dari rele pengaman tersebut. Oleh sebab itu diusulkan topik tugas akhir ini sebagai studi untuk membantu setting koordinasi proteksi rele pada generator turbin gas 26 MW Gresik Gas Cogeneration Plant. Kondisi operasi abnormal pada generator dapat menyebabkan kerusakan pada generator dan ketidak andalan pada sistem kelistrikan. Evaluasi rele-rele yang aktif meliputi rele eksitasi berlebih, rele frekuensi, rele daya balik, rele generator unbalance, dan rele loss of field pada topik ini dikhususkan untuk memperbaiki setting eksisting untuk disesuaikan dengan standar yang ada, sehingga generator akan terlindungi dengan baik saat terjadi gangguan eksternal generator

Leonardo S. Vieira - One of the best experts on this subject based on the ideXlab platform.

  • maximization of the profit of a complex combined cycle Cogeneration Plant using a professional process simulator
    Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2010
    Co-Authors: Leonardo S. Vieira, Manuel E. Cruz, C F T Matt, Vanessa G Guedes, Fernando V Castelloes
    Abstract:

    The high cost of energy resources has driven a strong and continued quest for their optimal utilization. In this context, modern thermoeconomic optimization techniques have been developed to analyze and design improved energy systems, leading to a better compromise between energetic efficiency and cost. Thermoeconomic optimization can be parametric (Plant configuration is fixed), applicable both at the design phase or operation phase of a system, or structural (Plant configuration may vary). In practice, mathematical thermoeconomic optimization may be accomplished in two ways: (i) the conventional way, which manipulates all pertinent equations simultaneously or (ii) integrated with a professional process simulator, such that the equations are manipulated separately. In the latter case, the simulator deals with the thermodynamic property and balance equations, while an external optimization routine, linked to the simulator, deals with the economic equations and objective function. In this work, a previous implementation of an integrated approach for parametric mathematical thermoeconomic optimization of complex thermal systems is applied to an actual combined-cycle Cogeneration Plant located in the outskirts of the city of Rio de Janeiro in Brazil. The Plant contains more than 60 thermal components, including two gas turbines, one steam turbine, and two heat recovery steam generators. Several hundred variables are required to simulate the Plant at one operational steady-state. The Plant produces 380 MW of power nominally, and exports a mass flow rate between 200 tons/h and 400 tons/h of superheated process steam, at 45 bars and 404°C, to a neighboring refinery. The simulator is the THERMOFLEX software, which interfaces with the Microsoft Excel program. The optimization routine is written in the Visual Basic for Applications language and is based on Powell’s method. The Cogeneration Plant operates subjected to time-changing economic scenarios, because of varying fuel, electricity, and steam prices. Thus, to manage the Plant, it is necessary to vary the operational state appropriately as the economic parameters change. For a prescribed economic scenario, previous work determined the minimum operational cost, when a fixed contracted hourly-rate of process steam was to be exported, while a variable amount of electrical power was produced. In this paper, a broader optimization problem is formulated and solved, for which the objective is to maximize the Plant profit under different economic scenarios. It is shown that the optimal operating conditions depend on the economic parameters, and do not necessarily imply maximum efficiency. The integrated optimization approach proves effective, robust, and helpful for optimal Plant management.

  • Exergoeconomic improvement of a complex Cogeneration system integrated with a professional process simulator
    Energy Conversion and Management, 2009
    Co-Authors: Leonardo S. Vieira, João L M Donatelli, Manuel E. Cruz
    Abstract:

    In this paper, the application of an iterative exergoeconomic methodology for improvement of thermal systems to a complex combined-cycle Cogeneration Plant is presented. The methodology integrates exergoeconomics with a professional process simulator, and represents an alternative to conventional mathematical optimization techniques, because it reduces substantially the number of variables to be considered in the improvement process. By exploiting the computational power of a simulator, the integrated approach permits the optimization routine to ignore the variables associated with the thermodynamic equations, and thus to deal only with the economic equations and objective function. In addition, the methodology combines recent available exergoeconomic techniques with qualitative and quantitative criteria to identify only those decision variables, which matter for the improvement of the system. To demonstrate the strengths of the methodology, it is here applied to a 24-component Cogeneration Plant, which requires O(103) variables for its simulation. The results which are obtained, are compared to those reached using a conventional mathematical optimization procedure, also coupled to the process simulator. It is shown that, for engineering purposes, improvement of the system is often more cost effective and less time consuming than optimization of the system.

  • optimization of the operation of a complex combined cycle Cogeneration Plant using a professional process simulator
    Volume 8: Energy Systems: Analysis Thermodynamics and Sustainability; Sustainable Products and Processes, 2008
    Co-Authors: Leonardo S. Vieira, Manuel E. Cruz, C F T Matt, Vanessa G Guedes, Fernando V Castelloes
    Abstract:

    Thermoeconomic optimization is a relatively modern technique to analyze and design more efficient energy systems, leading to a better compromise between energetic efficiency and cost. Thermoeconomic optimization can be parametric (Plant configuration is fixed), applicable both at the design phase or the operation phase of an energy system, or structural (Plant configuration may vary). In practice, mathematical thermoeconomic optimization may be accomplished in two ways: (i) the conventional way, which manipulates all pertinent equations simultaneously, or (ii) integrated with a professional process simulator, such that the equations are manipulated separately. In the latter case, the simulator deals with the thermodynamic property and balance equations, while an external optimization routine, linked to the simulator, deals with the economic equations and objective function. In this work a previous implementation of an integrated approach for parametric mathematical thermoeconomic optimization of complex thermal systems is applied to an actual combined-cycle Cogeneration Plant located in the outskirts of the city of Rio de Janeiro, in Brazil. The simulator is the Thermoflex software, which interfaces with the MS-Excel program. Thus, the Powell’s method for optimization integrated with Thermoflex is written in the VBA language. The Plant contains more than 60 thermal components, including two gas turbines, one steam turbine, and two heat recovery steam generators. Simulation of one operational condition of the Plant requires several hundred variables. The Plant produces nominally 380 MW of power, and exports a mass flow rate between 200 and 400 ton/h of superheated process steam, at 45 bar and 404°C, to a neighboring refinery. The Cogeneration Plant operates subjected to an economic scenario, which changes with time, because of varying fuel, electricity, and steam prices. Therefore, to manage the Plant, it is important to know the minimum operational cost, when a fixed contracted hourly-rate of process steam has to be exported, while a variable amount of electrical power is produced. An optimization problem can thus be formulated, for which the objective is to minimize the cost of consumed resources per unit electrical power generated. Results of optimization exercises to determine the optimal operational conditions of the Plant for various exported mass flow rates of process steam are presented and discussed.Copyright © 2008 by ASME