The Experts below are selected from a list of 63 Experts worldwide ranked by ideXlab platform

Zoubida Lounis - One of the best experts on this subject based on the ideXlab platform.

  • availability analysis of safety critical systems using advanced fault tree and stochastic petri net formalisms
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Mohammed Talebberrouane, Faisal Khan, Zoubida Lounis
    Abstract:

    Abstract Failure scenarios analysis constitutes one of the cornerstones of risk assessment and availability analysis. After a detailed review of available methods, this paper identified two distinct formalisms to analyze failure scenarios and systems' availability: generalized stochastic Petri nets (GSPN) and Fault tree driven Markov processes (FTDMP). The FTDMP formalism is a combination of the Markov process and the fault tree. This aims to overcome fault tree limitations while maintaining the use of deductive logic. The GSPN is a Petri net with probabilistic analysis using Monte Carlo simulation. The effectiveness of both methods is studied through an emergency flare system including a Knockout Drum. It is observed that GSPN provides a robust and reliable mechanism for accident scenario analysis. It provides additional information such as events' frequencies at operating and failing modes and expected occurrence timing and durations resulting from different complex sequences. Even for multi-state variables which could be used to design a safety management system. Although FTDMP is a powerful formalism, it provides limited information.

  • Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Mohammed Taleb-berrouane, Faisal Khan, Zoubida Lounis
    Abstract:

    Abstract Failure scenarios analysis constitutes one of the cornerstones of risk assessment and availability analysis. After a detailed review of available methods, this paper identified two distinct formalisms to analyze failure scenarios and systems' availability: generalized stochastic Petri nets (GSPN) and Fault tree driven Markov processes (FTDMP). The FTDMP formalism is a combination of the Markov process and the fault tree. This aims to overcome fault tree limitations while maintaining the use of deductive logic. The GSPN is a Petri net with probabilistic analysis using Monte Carlo simulation. The effectiveness of both methods is studied through an emergency flare system including a Knockout Drum. It is observed that GSPN provides a robust and reliable mechanism for accident scenario analysis. It provides additional information such as events' frequencies at operating and failing modes and expected occurrence timing and durations resulting from different complex sequences. Even for multi-state variables which could be used to design a safety management system. Although FTDMP is a powerful formalism, it provides limited information.

Thomas L. Acker - One of the best experts on this subject based on the ideXlab platform.

  • Practical Experience With a Mobile Methanol Synthesis Device
    Journal of Solar Energy Engineering-transactions of The Asme, 2015
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    A methanol synthesis unit (MSU) that directly converts carbon dioxide and hydrogen into methanol and water was developed and tested. The MSU consists of: a high-pressure side that includes a compressor, a reactor, and a throttling valve; and a low-pressure side that includes a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide, and electricity, while the sole outputs are methanol, oxygen, and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the MSU and offer some possible design improvements for future iterations of the device, based on experience.

  • Practical Experience With a Mobile Methanol Synthesis Device
    Volume 2: Economic Environmental and Policy Aspects of Alternate Energy; Fuels and Infrastructure Biofuels and Energy Storage; High Performance Buildi, 2014
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    Northern Arizona University has developed a methanol synthesis unit that directly converts carbon dioxide and hydrogen into methanol and water. The methanol synthesis unit consists of: a high pressure side that includes a compressor, a reactor, and a throttling valve; and a low pressure side that includes a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide and electricity, while the sole outputs are methanol, oxygen, and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the methanol synthesis unit and offer some possible design improvements for future iterations of the device, based on experience.Copyright © 2014 by ASME

  • REVISED DRAFT: PRACTICAL EXPERIENCE WITH A MOBILE METHANOL SYNTHESIS DEVICE
    2014
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    Northern Arizona University has developed a methanol synthesis unit that directly converts carbon dioxide and hydrogen into methanol and water. The methanol synthesis unit consists of a high pressure side that includes a compressor, a reactor, and a throttling valve; and a low pressure side that consists of a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide and electricity, while the sole outputs are methanol and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the methanol synthesis unit and offer some possible design improvements for future iterations of the device, based on experience.

Mohammed Talebberrouane - One of the best experts on this subject based on the ideXlab platform.

  • availability analysis of safety critical systems using advanced fault tree and stochastic petri net formalisms
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Mohammed Talebberrouane, Faisal Khan, Zoubida Lounis
    Abstract:

    Abstract Failure scenarios analysis constitutes one of the cornerstones of risk assessment and availability analysis. After a detailed review of available methods, this paper identified two distinct formalisms to analyze failure scenarios and systems' availability: generalized stochastic Petri nets (GSPN) and Fault tree driven Markov processes (FTDMP). The FTDMP formalism is a combination of the Markov process and the fault tree. This aims to overcome fault tree limitations while maintaining the use of deductive logic. The GSPN is a Petri net with probabilistic analysis using Monte Carlo simulation. The effectiveness of both methods is studied through an emergency flare system including a Knockout Drum. It is observed that GSPN provides a robust and reliable mechanism for accident scenario analysis. It provides additional information such as events' frequencies at operating and failing modes and expected occurrence timing and durations resulting from different complex sequences. Even for multi-state variables which could be used to design a safety management system. Although FTDMP is a powerful formalism, it provides limited information.

Eric R. Morgan - One of the best experts on this subject based on the ideXlab platform.

  • Practical Experience With a Mobile Methanol Synthesis Device
    Journal of Solar Energy Engineering-transactions of The Asme, 2015
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    A methanol synthesis unit (MSU) that directly converts carbon dioxide and hydrogen into methanol and water was developed and tested. The MSU consists of: a high-pressure side that includes a compressor, a reactor, and a throttling valve; and a low-pressure side that includes a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide, and electricity, while the sole outputs are methanol, oxygen, and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the MSU and offer some possible design improvements for future iterations of the device, based on experience.

  • Practical Experience With a Mobile Methanol Synthesis Device
    Volume 2: Economic Environmental and Policy Aspects of Alternate Energy; Fuels and Infrastructure Biofuels and Energy Storage; High Performance Buildi, 2014
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    Northern Arizona University has developed a methanol synthesis unit that directly converts carbon dioxide and hydrogen into methanol and water. The methanol synthesis unit consists of: a high pressure side that includes a compressor, a reactor, and a throttling valve; and a low pressure side that includes a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide and electricity, while the sole outputs are methanol, oxygen, and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the methanol synthesis unit and offer some possible design improvements for future iterations of the device, based on experience.Copyright © 2014 by ASME

  • REVISED DRAFT: PRACTICAL EXPERIENCE WITH A MOBILE METHANOL SYNTHESIS DEVICE
    2014
    Co-Authors: Eric R. Morgan, Thomas L. Acker
    Abstract:

    Northern Arizona University has developed a methanol synthesis unit that directly converts carbon dioxide and hydrogen into methanol and water. The methanol synthesis unit consists of a high pressure side that includes a compressor, a reactor, and a throttling valve; and a low pressure side that consists of a Knockout Drum, and a mixer where fresh gas enters the system. Methanol and water are produced at high pressure in the reactor and then exit the system under low pressure and temperature in the Knockout Drum. The remaining, unreacted recycle gas that leaves the Knockout Drum is mixed with fresh synthesis gas before being sent back through the synthesis loop. The unit operates entirely on electricity and includes a high-pressure electrolyzer to obtain gaseous hydrogen and oxygen directly from purified water. Thus, the sole inputs to the trailer are water, carbon dioxide and electricity, while the sole outputs are methanol and water. A distillation unit separates the methanol and water mixture on site so that the synthesized water can be reused in the electrolyzer. Here, we describe and characterize the operation of the methanol synthesis unit and offer some possible design improvements for future iterations of the device, based on experience.

Faisal Khan - One of the best experts on this subject based on the ideXlab platform.

  • availability analysis of safety critical systems using advanced fault tree and stochastic petri net formalisms
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Mohammed Talebberrouane, Faisal Khan, Zoubida Lounis
    Abstract:

    Abstract Failure scenarios analysis constitutes one of the cornerstones of risk assessment and availability analysis. After a detailed review of available methods, this paper identified two distinct formalisms to analyze failure scenarios and systems' availability: generalized stochastic Petri nets (GSPN) and Fault tree driven Markov processes (FTDMP). The FTDMP formalism is a combination of the Markov process and the fault tree. This aims to overcome fault tree limitations while maintaining the use of deductive logic. The GSPN is a Petri net with probabilistic analysis using Monte Carlo simulation. The effectiveness of both methods is studied through an emergency flare system including a Knockout Drum. It is observed that GSPN provides a robust and reliable mechanism for accident scenario analysis. It provides additional information such as events' frequencies at operating and failing modes and expected occurrence timing and durations resulting from different complex sequences. Even for multi-state variables which could be used to design a safety management system. Although FTDMP is a powerful formalism, it provides limited information.

  • Availability analysis of safety critical systems using advanced fault tree and stochastic Petri net formalisms
    Journal of Loss Prevention in The Process Industries, 2016
    Co-Authors: Mohammed Taleb-berrouane, Faisal Khan, Zoubida Lounis
    Abstract:

    Abstract Failure scenarios analysis constitutes one of the cornerstones of risk assessment and availability analysis. After a detailed review of available methods, this paper identified two distinct formalisms to analyze failure scenarios and systems' availability: generalized stochastic Petri nets (GSPN) and Fault tree driven Markov processes (FTDMP). The FTDMP formalism is a combination of the Markov process and the fault tree. This aims to overcome fault tree limitations while maintaining the use of deductive logic. The GSPN is a Petri net with probabilistic analysis using Monte Carlo simulation. The effectiveness of both methods is studied through an emergency flare system including a Knockout Drum. It is observed that GSPN provides a robust and reliable mechanism for accident scenario analysis. It provides additional information such as events' frequencies at operating and failing modes and expected occurrence timing and durations resulting from different complex sequences. Even for multi-state variables which could be used to design a safety management system. Although FTDMP is a powerful formalism, it provides limited information.