The Experts below are selected from a list of 2079 Experts worldwide ranked by ideXlab platform
Gang Rong - One of the best experts on this subject based on the ideXlab platform.
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Robust Engineering Strategy for Scheduling Optimization of Refinery Fuel Gas System
Industrial & Engineering Chemistry Research, 2018Co-Authors: Gang Rong, Yi Zhang, Jiandong Zhang, Zuwei Liao, Hao ZhaoAbstract:As a byproduct of the oil refining process, Fuel Gas is the primary energy source of refineries. Considering self-generated and purchased Fuel Gas simultaneously in an optimization model will cut down energy cost and reduce carbon emissions in oil refineries. A mixed-integer linear program (MILP) has been built in our previous work. However, due to the fluctuation in the Fuel Gas generation and consumption, theoretical scheduling solutions may become infeasible or inaccurate. This article presents a robust engineering strategy for validating the model to variable conditions in four aspects: model precision, solving performance, optimization effect, and execution. The proposed strategy has been applied to a Fuel Gas system in one of the largest oil refineries (LRF) in China to ensure model feasibility, necessity, and effectiveness. The implementation results show that the proposed method reduces costs up to 5.63% through the single-period operational optimization and up to 7.76% in the multiperiod scheduling.
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Fuzzy possibilistic modeling and sensitivity analysis for optimal Fuel Gas scheduling in Refinery
Engineering Applications of Artificial Intelligence, 2010Co-Authors: J D Zhang, Gang RongAbstract:In Refinery, Fuel Gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of Fuel Gas system helps the Refinery to achieve energy cost reduction and cleaner production. However, imprecise natures in the system, such as prediction of production rate of Fuel Gas, prediction of energy demand of the equipments and cost coefficient in the objective function, make the deterministic optimization method which requires well-defined and precise data cannot be competent for the Fuel Gas scheduling problem. In this study, fuzzy possibilistic programming (FPP) method is proposed to deal with these imprecise natures by triangular possibility distributions. The fuzzy possibilistic model is transformed into usual mathematical model by definition of necessity measure and the @a-level method. Although FPP models have been widely applied to modeling, few research works have been reported on the performance evaluation, namely sensitivity analysis, of these models. Marginal value analysis, which is always used to provide additional economic information, is proposed to give the sensitivity analysis in the paper. This method is demonstrated to be much more flexible than the simulation method. Particularly, the analytical method is adopted to examine how the imprecise natures in the Fuel Gas system affect the scheduling results.
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an milp model for multi period optimization of Fuel Gas system scheduling in Refinery and its marginal value analysis
Chemical Engineering Research & Design, 2008Co-Authors: J D Zhang, Gang RongAbstract:In Refinery, Fuel Gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of Fuel Gas system helps the Refinery to achieve energy cost reduction and cleaner production. A mixed integer linear programming (MILP) model for multi-period optimization of Fuel Gas scheduling is proposed in the paper. In this method, Fuel Gas is considered as the key energy source, while Fuel oil and electricity as the secondary one. Site-wide Fuel Gas balance has been achieved by considering the storage ability of Fuel Gas system and the consumption of Fuel Gas both in cogeneration system and production system. The objective is to reach the minimum operation cost of the energy system by effective scheduling of the Fuel Gas system. Marginal value analysis, which provides additional economic information of the Fuel Gas system, is proposed in the paper. This analytical method is used to identify the system bottleneck and assist decision-making in the case study.
Torleif Weydahl - One of the best experts on this subject based on the ideXlab platform.
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pursuing the pre combustion ccs route in oil refineries the impact on fired heaters
Applied Energy, 2013Co-Authors: Torleif Weydahl, Jamal Jamaluddin, Morten Seljeskog, Rahul AnantharamanAbstract:The work presented in this paper investigates the effect of replacing Refinery Fuel Gas in the radiant section burners of a fired heater with hydrogen. The aim is to approach pre-combustion CCS to Refinery fired heaters by identifying the impact on heat-, flow- and radiation distribution in the lower radiant section of the fired heater when simply switching Refinery Gas with hydrogen at equivalent power using the same burner geometrics. Additionally the formation of NOx is considered. The investigations are performed using a conventional Reynolds Average Navier Stokes (RANS), Computational Fluid Dynamics (CFD) approach using detailed reaction kinetics consisting of 325 elementary reactions and 53 species. Simplified and generalized furnace and burner geometries are used in the present work. The results show that approximately the same average wall heat flux density is achieved when the Refinery Fuel is replaced by hydrogen. However, the distribution of heat on the inner surfaces changes. The hydrogen case has, as expected, a higher flame temperature than the base case, nevertheless, the nitric oxide (NOx) emissions are comparable to base case emissions. Several indications point in the direction of a significant contribution to the base case emissions from the less temperature dependent prompt-NO mechanism, which obviously is not contributing to the hydrogen case emissions.
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Performance and NOx emissions of Refinery fired heaters retrofitted to hydrogen combustion
Energy Procedia, 2013Co-Authors: Mario Ditaranto, Rahul Anantharaman, Torleif WeydahlAbstract:Pre-combustion CO2Capture applied to industrial sources is an alternative for achieving low CO2emissions at a moderate cost. The potential of the technology to be used as retrofit would further expand its possibilities and could be a real benefit to the industry in terms of achieving CO2emission reduction at relatively low cost. The retrofitting of a boiler to hydrogen Fuel bears some difficulties due the significant differences in Gas and combustion properties between hydrogen and Gaseous hydrocarbon Fuels. The present investigations by CFD simulations revealed that the effect on the overall performance of the fired heater when the Fuel is switched to hydrogen is likely to be minimal. The simulations also showed that the NOx-emissions with pure hydrogen Fuel is in fact lower than with the Refinery Fuel Gas on mass basis, or similar on ppm basis. This is due to the rather large contribution from the prompt-NO mechanism that obviously is absent in the hydrogen case. Similarly, the effect of switching Fuel from methane to hydrogen was investigated experimentally on a lab scale model low NOx burner. The burner, first characterized for methane in terms of emissions and stability, was operated with hydrogen without modification and then by applying a first development modification. The later version of the burner allowed first to solve an overheating issue recognized when in the direct switch configuration. Furthermore, the NOx performance revealed to be even better than with methane as Fuel, which contradicts most of the previous studies found on this topic, but confirms the CFD analysis of the full Refinery heater simulation. Energetic requirements for post-combustion capture using MEA as solvent, an auto-thermal reformal based pre-combustion scheme with aMDEA as solvent and steam methane reformer with preand post-combustion capture using MEA and aMDEA were evaluated. Post-combustion capture has the least energy requirements followed by auto-thermal reformer based pre-combustion route. It is expected that the pre-combustion route will be competitive when rather than stand-alone H2Fuel production for fired heaters power production in an integrated reforming combined cycle is also included in the scheme.
Rahul Anantharaman - One of the best experts on this subject based on the ideXlab platform.
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pursuing the pre combustion ccs route in oil refineries the impact on fired heaters
Applied Energy, 2013Co-Authors: Torleif Weydahl, Jamal Jamaluddin, Morten Seljeskog, Rahul AnantharamanAbstract:The work presented in this paper investigates the effect of replacing Refinery Fuel Gas in the radiant section burners of a fired heater with hydrogen. The aim is to approach pre-combustion CCS to Refinery fired heaters by identifying the impact on heat-, flow- and radiation distribution in the lower radiant section of the fired heater when simply switching Refinery Gas with hydrogen at equivalent power using the same burner geometrics. Additionally the formation of NOx is considered. The investigations are performed using a conventional Reynolds Average Navier Stokes (RANS), Computational Fluid Dynamics (CFD) approach using detailed reaction kinetics consisting of 325 elementary reactions and 53 species. Simplified and generalized furnace and burner geometries are used in the present work. The results show that approximately the same average wall heat flux density is achieved when the Refinery Fuel is replaced by hydrogen. However, the distribution of heat on the inner surfaces changes. The hydrogen case has, as expected, a higher flame temperature than the base case, nevertheless, the nitric oxide (NOx) emissions are comparable to base case emissions. Several indications point in the direction of a significant contribution to the base case emissions from the less temperature dependent prompt-NO mechanism, which obviously is not contributing to the hydrogen case emissions.
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Performance and NOx emissions of Refinery fired heaters retrofitted to hydrogen combustion
Energy Procedia, 2013Co-Authors: Mario Ditaranto, Rahul Anantharaman, Torleif WeydahlAbstract:Pre-combustion CO2Capture applied to industrial sources is an alternative for achieving low CO2emissions at a moderate cost. The potential of the technology to be used as retrofit would further expand its possibilities and could be a real benefit to the industry in terms of achieving CO2emission reduction at relatively low cost. The retrofitting of a boiler to hydrogen Fuel bears some difficulties due the significant differences in Gas and combustion properties between hydrogen and Gaseous hydrocarbon Fuels. The present investigations by CFD simulations revealed that the effect on the overall performance of the fired heater when the Fuel is switched to hydrogen is likely to be minimal. The simulations also showed that the NOx-emissions with pure hydrogen Fuel is in fact lower than with the Refinery Fuel Gas on mass basis, or similar on ppm basis. This is due to the rather large contribution from the prompt-NO mechanism that obviously is absent in the hydrogen case. Similarly, the effect of switching Fuel from methane to hydrogen was investigated experimentally on a lab scale model low NOx burner. The burner, first characterized for methane in terms of emissions and stability, was operated with hydrogen without modification and then by applying a first development modification. The later version of the burner allowed first to solve an overheating issue recognized when in the direct switch configuration. Furthermore, the NOx performance revealed to be even better than with methane as Fuel, which contradicts most of the previous studies found on this topic, but confirms the CFD analysis of the full Refinery heater simulation. Energetic requirements for post-combustion capture using MEA as solvent, an auto-thermal reformal based pre-combustion scheme with aMDEA as solvent and steam methane reformer with preand post-combustion capture using MEA and aMDEA were evaluated. Post-combustion capture has the least energy requirements followed by auto-thermal reformer based pre-combustion route. It is expected that the pre-combustion route will be competitive when rather than stand-alone H2Fuel production for fired heaters power production in an integrated reforming combined cycle is also included in the scheme.
J D Zhang - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy possibilistic modeling and sensitivity analysis for optimal Fuel Gas scheduling in Refinery
Engineering Applications of Artificial Intelligence, 2010Co-Authors: J D Zhang, Gang RongAbstract:In Refinery, Fuel Gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of Fuel Gas system helps the Refinery to achieve energy cost reduction and cleaner production. However, imprecise natures in the system, such as prediction of production rate of Fuel Gas, prediction of energy demand of the equipments and cost coefficient in the objective function, make the deterministic optimization method which requires well-defined and precise data cannot be competent for the Fuel Gas scheduling problem. In this study, fuzzy possibilistic programming (FPP) method is proposed to deal with these imprecise natures by triangular possibility distributions. The fuzzy possibilistic model is transformed into usual mathematical model by definition of necessity measure and the @a-level method. Although FPP models have been widely applied to modeling, few research works have been reported on the performance evaluation, namely sensitivity analysis, of these models. Marginal value analysis, which is always used to provide additional economic information, is proposed to give the sensitivity analysis in the paper. This method is demonstrated to be much more flexible than the simulation method. Particularly, the analytical method is adopted to examine how the imprecise natures in the Fuel Gas system affect the scheduling results.
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an milp model for multi period optimization of Fuel Gas system scheduling in Refinery and its marginal value analysis
Chemical Engineering Research & Design, 2008Co-Authors: J D Zhang, Gang RongAbstract:In Refinery, Fuel Gas which is continuously generated during the production process is one of the most important energy sources. Optimal scheduling of Fuel Gas system helps the Refinery to achieve energy cost reduction and cleaner production. A mixed integer linear programming (MILP) model for multi-period optimization of Fuel Gas scheduling is proposed in the paper. In this method, Fuel Gas is considered as the key energy source, while Fuel oil and electricity as the secondary one. Site-wide Fuel Gas balance has been achieved by considering the storage ability of Fuel Gas system and the consumption of Fuel Gas both in cogeneration system and production system. The objective is to reach the minimum operation cost of the energy system by effective scheduling of the Fuel Gas system. Marginal value analysis, which provides additional economic information of the Fuel Gas system, is proposed in the paper. This analytical method is used to identify the system bottleneck and assist decision-making in the case study.
Zuwei Liao - One of the best experts on this subject based on the ideXlab platform.
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Robust Engineering Strategy for Scheduling Optimization of Refinery Fuel Gas System
Industrial & Engineering Chemistry Research, 2018Co-Authors: Gang Rong, Yi Zhang, Jiandong Zhang, Zuwei Liao, Hao ZhaoAbstract:As a byproduct of the oil refining process, Fuel Gas is the primary energy source of refineries. Considering self-generated and purchased Fuel Gas simultaneously in an optimization model will cut down energy cost and reduce carbon emissions in oil refineries. A mixed-integer linear program (MILP) has been built in our previous work. However, due to the fluctuation in the Fuel Gas generation and consumption, theoretical scheduling solutions may become infeasible or inaccurate. This article presents a robust engineering strategy for validating the model to variable conditions in four aspects: model precision, solving performance, optimization effect, and execution. The proposed strategy has been applied to a Fuel Gas system in one of the largest oil refineries (LRF) in China to ensure model feasibility, necessity, and effectiveness. The implementation results show that the proposed method reduces costs up to 5.63% through the single-period operational optimization and up to 7.76% in the multiperiod scheduling.
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Energy configuration and operation optimization of Refinery Fuel Gas networks
Applied Energy, 2015Co-Authors: Li Zhou, Zuwei Liao, Jingdai Wang, Binbo Jiang, Yongrong YangAbstract:Abstract The production of regular clean Fuels is faced with a problem of declining profit under more strict and costly environmental regulations. To satisfy the desire for higher profit and the firm requirements of environmental protection, it is imperative to improve the efficiency of energy systems within refineries. Over the past decade numerous attempts were made to enhance the energy system, addressing the steam power system and hydrogen system in particular. However, the Fuel Gas system, which serves as the dominant energy source of refineries, has drawn little attention in the research community. Industrial practices indicate that the energy efficiency of the Fuel Gas systems can be improved remarkably by optimizing the operation schedules. This paper presents a multi-period optimizing model for the scheduling of Fuel Gas system within refineries. Modeling of the pipeline system is considered important, which was usually ignored in the former studies. Flow reversal and flow transition in the pipe segments are taken into consideration. Pipelines with branching structure and loop structure can be easily modeled and solved with rational computation effort. Complementarity formulations are utilized in modeling of discrete decisions instead of the commonly used binary variables. Application of this method is illustrated with a case study.