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Innovative Design, Modeling, and Dynamic Simulation for Smart Manufacturing in Chemical Industry.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovative Design, Modeling, and Dynamic Simulation for Smart Manufacturing in Chemical Industry./
作者:	Wang, Song.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	125 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
標題:	Chemical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716861
ISBN:	9798538132973

Innovative Design, Modeling, and Dynamic Simulation for Smart Manufacturing in Chemical Industry.
Wang, Song.

Innovative Design, Modeling, and Dynamic Simulation for Smart Manufacturing in Chemical Industry. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 125 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--Lamar University - Beaumont, 2021.

This item must not be sold to any third party vendors.

Flare minimization (FM) in chemical process industry (CPI) under abnormal operating conditions such as plant start-ups, shut-downs can significantly reduce plant emissions, which suggests tremendous raw material and energy savings for plant, as well as substantial environmental and societal benefits. In the first work of this dissertation, a systematic methodology based on plant-wide dynamic simulation is presented for safety-oriented CPI FMs under abnormal operating conditions. Since off-specification emission sources are inevitable during abnormal operating conditions, to significantly reduce flaring emission in a chemical plant, they are either recycled to the upstream process for online reuse or stored somewhere temporarily for future reprocessing. Thus, the off-spec products could be reused instead of being flared. With the new development of FM operating strategies, rigorous dynamic simulation-based safety checks are also highlighted in the presented methodology. Two case studies on FMs for start-up and shut-down operations of an ethylene plant have been employed to demonstrate the efficacy of the proposed study.The shutdown operation of a distillation column is one of the critical abnormal operations for a chemical/petrochemical plant. Currently, planned shutdown operations for distillation columns are all manually operated, which might result in significant differences among operators or even costly human errors and uncertainties. In the second work of this dissertation, a methodology on dynamic simulation and optimization for automatic shutdown operation of a distillation column has been developed and virtually examined, which targets on a quick and automated shutdown operation with operating safety, efficiency, and energy/material savings. To meet the increasing demand on electricity consumption for global economic development and the urgent need for carbon dioxide (CO2) sequestration for global climate change mitigation, the natural-gas-fired Allam-cycle power plant becomes very attractive due to its high energy efficiency, NOx emission free aspect, and inherent capability of producing pipeline-ready CO2 for various industrial usages. In the third work of this dissertation, an efficiently and economically integrated A3 complex (Allam cycle, air separation unit, and an Ammonia Plant) with innovative designing was displayed by rigorous modeling and simulation. Its economic and environmental performances have also been systematically evaluated to exemplify its system excellence.

ISBN: 9798538132973Subjects--Topical Terms:

560457
Chemical engineering.
Subjects--Index Terms:

Allam cycle

Innovative Design, Modeling, and Dynamic Simulation for Smart Manufacturing in Chemical Industry.
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520 $a Flare minimization (FM) in chemical process industry (CPI) under abnormal operating conditions such as plant start-ups, shut-downs can significantly reduce plant emissions, which suggests tremendous raw material and energy savings for plant, as well as substantial environmental and societal benefits. In the first work of this dissertation, a systematic methodology based on plant-wide dynamic simulation is presented for safety-oriented CPI FMs under abnormal operating conditions. Since off-specification emission sources are inevitable during abnormal operating conditions, to significantly reduce flaring emission in a chemical plant, they are either recycled to the upstream process for online reuse or stored somewhere temporarily for future reprocessing. Thus, the off-spec products could be reused instead of being flared. With the new development of FM operating strategies, rigorous dynamic simulation-based safety checks are also highlighted in the presented methodology. Two case studies on FMs for start-up and shut-down operations of an ethylene plant have been employed to demonstrate the efficacy of the proposed study.The shutdown operation of a distillation column is one of the critical abnormal operations for a chemical/petrochemical plant. Currently, planned shutdown operations for distillation columns are all manually operated, which might result in significant differences among operators or even costly human errors and uncertainties. In the second work of this dissertation, a methodology on dynamic simulation and optimization for automatic shutdown operation of a distillation column has been developed and virtually examined, which targets on a quick and automated shutdown operation with operating safety, efficiency, and energy/material savings. To meet the increasing demand on electricity consumption for global economic development and the urgent need for carbon dioxide (CO2) sequestration for global climate change mitigation, the natural-gas-fired Allam-cycle power plant becomes very attractive due to its high energy efficiency, NOx emission free aspect, and inherent capability of producing pipeline-ready CO2 for various industrial usages. In the third work of this dissertation, an efficiently and economically integrated A3 complex (Allam cycle, air separation unit, and an Ammonia Plant) with innovative designing was displayed by rigorous modeling and simulation. Its economic and environmental performances have also been systematically evaluated to exemplify its system excellence.
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