The Experts below are selected from a list of 7695 Experts worldwide ranked by ideXlab platform
Haoran Zhang - One of the best experts on this subject based on the ideXlab platform.
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an integrated methodology for the supply reliability analysis of multi Product Pipeline systems under pumps failure
2020Co-Authors: Xingyuan Zhou, Yongtu Liang, P H A J M Van Gelder, Haoran ZhangAbstract:Abstract As the main way for the long-distance transportation of refined Products, multi-Products Pipelines are of vital importance to the regional energy security. The supply reliability evaluation of multi-Product Pipeline systems can improve the effective response to unexpected disruptions and guarantee the reliable oil supply. Based on reliability theory and Pipeline scheduling method, an integrated supply reliability evaluation methodology for multi-Product Pipeline systems is proposed in this paper and the pumps failure, of which influence is the most complex, is focused on. In the methodology, the discrete-time Markov process is adopted to describe the stochastic failure and the Monte Carlo method is used to simulate the system states transition. With the Pipeline flowrate upper limits under various pumps failure scenarios optimized in advance, the maximum supply capacity to the downstream markets in each trial is calculated by the Pipeline scheduling model. Three indicators are also developed to analyze the Pipeline supply reliability from the holistic and individual perspectives. At last, the methodology application is performed on a real-world multi-Product Pipeline system in China and the supply reliability is analyzed in detail according to the simulation results. It is proved to provide a practical method for the emergency response decision-making and loss prevention.
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A hybrid time MILP model for the pump scheduling of multi-Product Pipelines based on the rigorous description of the Pipeline hydraulic loss changes
2019Co-Authors: Xingyuan Zhou, Haoran Zhang, Rui Qiu, Yongtu Liang, Chengcheng Xiang, Xiaohan YanAbstract:Abstract As the primary means of transporting refined Products, multi-Product Pipelines play a significant role in ensuring downstream energy supply. The pump scheduling optimization of multi-Product Pipeline can significantly lower the energy consumption of the Pipeline. With the input parameters of Pipeline flowrates and batch interface locations, which are determined by a specific detailed schedule, this paper first proposes an innovative method for a rigorous description of Pipeline hydraulic loss changes during the multi-batch sequential transportation process. Based on the hybrid time representation, the scheduling horizon is divided into two levels of time windows and a mixed-integer linear programming (MILP) model for the pump scheduling of multi-Product Pipelines is established according to the proposed method. Various technical and operational constraints are considered. Finally, the established model is successfully applied to a real-world multi-Product Pipeline, with three operation modes, in China. The superiority, accuracy, and applicability of this model are validated in detail through comparison with a previous model.
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a milp model based on flowrate database for detailed scheduling of a multi Product Pipeline with multiple pump stations
2018Co-Authors: Qi Liao, Haoran Zhang, Yongtu Liang, Junao WangAbstract:Abstract Multi-Product Pipelines usually transport several Products in batches to respective delivery stations. As for a multi-Product Pipeline with multiple pump stations, this paper develops a continuous-time mixed-integer linear programming (MILP) model based on flowrate database to optimize its detailed scheduling. In the proposed model, various unit pump cost and flowrate constraints, which strongly depend on pump operation schemes, are introduced for the economy and safety of solved scheduling plans. Moreover, this paper considers the actual field processing constraints which vary with batch interface migration and rarely considered in previous work. And a novel method of historical flowrate database preprocessing is presented to enhance solving efficiency. Finally, through comparing with three real-world cases solved by another two available models, the proposed one performs the best in scheduling optimization as well as substantial reduction of pump cost.
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an milp approach for detailed scheduling of multi Product Pipeline in pressure control mode
2018Co-Authors: Qi Liao, Yongtu Liang, Haoran Zhang, Junao Wang, Xingyuan ZhouAbstract:Abstract Scheduling with hydraulic constraints is one of the crucial aspects to guarantee multi-Product Pipeline safety. This paper develops a discrete-time mixed-integer linear programming (MILP) model for a single-source multi-Product Pipeline in pressure control mode, minimizing the pump cost as well as the labor cost of pump stoppage/restart. Instead of limiting pressure through flowrate constraints, this paper adopts piecewise linear approximation to deal with pump characteristic curves and frictional loss associated to flowrate and establish corresponding pressure constraints. The pressure at all key points along the Pipeline should be within the allowable range to ensure transport safety. In this way, the proposed model can attain the integrated optimization of the Pipeline scheduling and pump scheduling, thereby avoiding the possible mismatch between pressure and flowrate obtained by two-step solving strategy. Finally, the proposed method is compared with another discrete-time MILP model (Chen et al., 2017) which sets the minimum pump rate variation as objective function for the operating economy. Two cases tested on a Chinese real-world Pipeline are given to demonstrate that the optimal detailed schedules obtained by the proposed model perform better in both economy and the convenience of pump operations.
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an milp approach for detailed scheduling of oil depots along a multi Product Pipeline
2017Co-Authors: Haoran Zhang, Yongtu Liang, Qi Liao, Xiaohan YanAbstract:Oil depots along Products Pipelines are important components of the Pipeline transportation system and down-stream markets. The operating costs of oil depots account for a large proportion of the total system’s operating costs. Meanwhile, oil depots and Pipelines form an entire system, and each operation in a single oil depot may have influence on others. It is a tough job to make a scheduling plan when considering the factors of delivering contaminated oil and batches migration. So far, studies simultaneously considering operating constraints and contaminated oil issues are rare. Aiming at making a scheduling plan with the lowest operating costs, the paper establishes a mixed-integer linear programming model, considering a sequence of operations, such as delivery, export, blending, fractionating and exchanging operations, and batch property differences of the same oil as well as influence of batch migration on contaminated volume. Moreover, the paper verifies the linear relationship between oil concentration and blending capability by mathematical deduction. Finally, the model is successfully applied to one of the Product Pipelines in China and proved to be practical.
Yongtu Liang - One of the best experts on this subject based on the ideXlab platform.
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an integrated methodology for the supply reliability analysis of multi Product Pipeline systems under pumps failure
2020Co-Authors: Xingyuan Zhou, Yongtu Liang, P H A J M Van Gelder, Haoran ZhangAbstract:Abstract As the main way for the long-distance transportation of refined Products, multi-Products Pipelines are of vital importance to the regional energy security. The supply reliability evaluation of multi-Product Pipeline systems can improve the effective response to unexpected disruptions and guarantee the reliable oil supply. Based on reliability theory and Pipeline scheduling method, an integrated supply reliability evaluation methodology for multi-Product Pipeline systems is proposed in this paper and the pumps failure, of which influence is the most complex, is focused on. In the methodology, the discrete-time Markov process is adopted to describe the stochastic failure and the Monte Carlo method is used to simulate the system states transition. With the Pipeline flowrate upper limits under various pumps failure scenarios optimized in advance, the maximum supply capacity to the downstream markets in each trial is calculated by the Pipeline scheduling model. Three indicators are also developed to analyze the Pipeline supply reliability from the holistic and individual perspectives. At last, the methodology application is performed on a real-world multi-Product Pipeline system in China and the supply reliability is analyzed in detail according to the simulation results. It is proved to provide a practical method for the emergency response decision-making and loss prevention.
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A hybrid time MILP model for the pump scheduling of multi-Product Pipelines based on the rigorous description of the Pipeline hydraulic loss changes
2019Co-Authors: Xingyuan Zhou, Haoran Zhang, Rui Qiu, Yongtu Liang, Chengcheng Xiang, Xiaohan YanAbstract:Abstract As the primary means of transporting refined Products, multi-Product Pipelines play a significant role in ensuring downstream energy supply. The pump scheduling optimization of multi-Product Pipeline can significantly lower the energy consumption of the Pipeline. With the input parameters of Pipeline flowrates and batch interface locations, which are determined by a specific detailed schedule, this paper first proposes an innovative method for a rigorous description of Pipeline hydraulic loss changes during the multi-batch sequential transportation process. Based on the hybrid time representation, the scheduling horizon is divided into two levels of time windows and a mixed-integer linear programming (MILP) model for the pump scheduling of multi-Product Pipelines is established according to the proposed method. Various technical and operational constraints are considered. Finally, the established model is successfully applied to a real-world multi-Product Pipeline, with three operation modes, in China. The superiority, accuracy, and applicability of this model are validated in detail through comparison with a previous model.
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a milp model based on flowrate database for detailed scheduling of a multi Product Pipeline with multiple pump stations
2018Co-Authors: Qi Liao, Haoran Zhang, Yongtu Liang, Junao WangAbstract:Abstract Multi-Product Pipelines usually transport several Products in batches to respective delivery stations. As for a multi-Product Pipeline with multiple pump stations, this paper develops a continuous-time mixed-integer linear programming (MILP) model based on flowrate database to optimize its detailed scheduling. In the proposed model, various unit pump cost and flowrate constraints, which strongly depend on pump operation schemes, are introduced for the economy and safety of solved scheduling plans. Moreover, this paper considers the actual field processing constraints which vary with batch interface migration and rarely considered in previous work. And a novel method of historical flowrate database preprocessing is presented to enhance solving efficiency. Finally, through comparing with three real-world cases solved by another two available models, the proposed one performs the best in scheduling optimization as well as substantial reduction of pump cost.
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an milp approach for detailed scheduling of multi Product Pipeline in pressure control mode
2018Co-Authors: Qi Liao, Yongtu Liang, Haoran Zhang, Junao Wang, Xingyuan ZhouAbstract:Abstract Scheduling with hydraulic constraints is one of the crucial aspects to guarantee multi-Product Pipeline safety. This paper develops a discrete-time mixed-integer linear programming (MILP) model for a single-source multi-Product Pipeline in pressure control mode, minimizing the pump cost as well as the labor cost of pump stoppage/restart. Instead of limiting pressure through flowrate constraints, this paper adopts piecewise linear approximation to deal with pump characteristic curves and frictional loss associated to flowrate and establish corresponding pressure constraints. The pressure at all key points along the Pipeline should be within the allowable range to ensure transport safety. In this way, the proposed model can attain the integrated optimization of the Pipeline scheduling and pump scheduling, thereby avoiding the possible mismatch between pressure and flowrate obtained by two-step solving strategy. Finally, the proposed method is compared with another discrete-time MILP model (Chen et al., 2017) which sets the minimum pump rate variation as objective function for the operating economy. Two cases tested on a Chinese real-world Pipeline are given to demonstrate that the optimal detailed schedules obtained by the proposed model perform better in both economy and the convenience of pump operations.
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an milp approach for detailed scheduling of oil depots along a multi Product Pipeline
2017Co-Authors: Haoran Zhang, Yongtu Liang, Qi Liao, Xiaohan YanAbstract:Oil depots along Products Pipelines are important components of the Pipeline transportation system and down-stream markets. The operating costs of oil depots account for a large proportion of the total system’s operating costs. Meanwhile, oil depots and Pipelines form an entire system, and each operation in a single oil depot may have influence on others. It is a tough job to make a scheduling plan when considering the factors of delivering contaminated oil and batches migration. So far, studies simultaneously considering operating constraints and contaminated oil issues are rare. Aiming at making a scheduling plan with the lowest operating costs, the paper establishes a mixed-integer linear programming model, considering a sequence of operations, such as delivery, export, blending, fractionating and exchanging operations, and batch property differences of the same oil as well as influence of batch migration on contaminated volume. Moreover, the paper verifies the linear relationship between oil concentration and blending capability by mathematical deduction. Finally, the model is successfully applied to one of the Product Pipelines in China and proved to be practical.
Xingyuan Zhou - One of the best experts on this subject based on the ideXlab platform.
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an integrated methodology for the supply reliability analysis of multi Product Pipeline systems under pumps failure
2020Co-Authors: Xingyuan Zhou, Yongtu Liang, P H A J M Van Gelder, Haoran ZhangAbstract:Abstract As the main way for the long-distance transportation of refined Products, multi-Products Pipelines are of vital importance to the regional energy security. The supply reliability evaluation of multi-Product Pipeline systems can improve the effective response to unexpected disruptions and guarantee the reliable oil supply. Based on reliability theory and Pipeline scheduling method, an integrated supply reliability evaluation methodology for multi-Product Pipeline systems is proposed in this paper and the pumps failure, of which influence is the most complex, is focused on. In the methodology, the discrete-time Markov process is adopted to describe the stochastic failure and the Monte Carlo method is used to simulate the system states transition. With the Pipeline flowrate upper limits under various pumps failure scenarios optimized in advance, the maximum supply capacity to the downstream markets in each trial is calculated by the Pipeline scheduling model. Three indicators are also developed to analyze the Pipeline supply reliability from the holistic and individual perspectives. At last, the methodology application is performed on a real-world multi-Product Pipeline system in China and the supply reliability is analyzed in detail according to the simulation results. It is proved to provide a practical method for the emergency response decision-making and loss prevention.
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A hybrid time MILP model for the pump scheduling of multi-Product Pipelines based on the rigorous description of the Pipeline hydraulic loss changes
2019Co-Authors: Xingyuan Zhou, Haoran Zhang, Rui Qiu, Yongtu Liang, Chengcheng Xiang, Xiaohan YanAbstract:Abstract As the primary means of transporting refined Products, multi-Product Pipelines play a significant role in ensuring downstream energy supply. The pump scheduling optimization of multi-Product Pipeline can significantly lower the energy consumption of the Pipeline. With the input parameters of Pipeline flowrates and batch interface locations, which are determined by a specific detailed schedule, this paper first proposes an innovative method for a rigorous description of Pipeline hydraulic loss changes during the multi-batch sequential transportation process. Based on the hybrid time representation, the scheduling horizon is divided into two levels of time windows and a mixed-integer linear programming (MILP) model for the pump scheduling of multi-Product Pipelines is established according to the proposed method. Various technical and operational constraints are considered. Finally, the established model is successfully applied to a real-world multi-Product Pipeline, with three operation modes, in China. The superiority, accuracy, and applicability of this model are validated in detail through comparison with a previous model.
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an milp approach for detailed scheduling of multi Product Pipeline in pressure control mode
2018Co-Authors: Qi Liao, Yongtu Liang, Haoran Zhang, Junao Wang, Xingyuan ZhouAbstract:Abstract Scheduling with hydraulic constraints is one of the crucial aspects to guarantee multi-Product Pipeline safety. This paper develops a discrete-time mixed-integer linear programming (MILP) model for a single-source multi-Product Pipeline in pressure control mode, minimizing the pump cost as well as the labor cost of pump stoppage/restart. Instead of limiting pressure through flowrate constraints, this paper adopts piecewise linear approximation to deal with pump characteristic curves and frictional loss associated to flowrate and establish corresponding pressure constraints. The pressure at all key points along the Pipeline should be within the allowable range to ensure transport safety. In this way, the proposed model can attain the integrated optimization of the Pipeline scheduling and pump scheduling, thereby avoiding the possible mismatch between pressure and flowrate obtained by two-step solving strategy. Finally, the proposed method is compared with another discrete-time MILP model (Chen et al., 2017) which sets the minimum pump rate variation as objective function for the operating economy. Two cases tested on a Chinese real-world Pipeline are given to demonstrate that the optimal detailed schedules obtained by the proposed model perform better in both economy and the convenience of pump operations.
Qi Liao - One of the best experts on this subject based on the ideXlab platform.
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a milp model based on flowrate database for detailed scheduling of a multi Product Pipeline with multiple pump stations
2018Co-Authors: Qi Liao, Haoran Zhang, Yongtu Liang, Junao WangAbstract:Abstract Multi-Product Pipelines usually transport several Products in batches to respective delivery stations. As for a multi-Product Pipeline with multiple pump stations, this paper develops a continuous-time mixed-integer linear programming (MILP) model based on flowrate database to optimize its detailed scheduling. In the proposed model, various unit pump cost and flowrate constraints, which strongly depend on pump operation schemes, are introduced for the economy and safety of solved scheduling plans. Moreover, this paper considers the actual field processing constraints which vary with batch interface migration and rarely considered in previous work. And a novel method of historical flowrate database preprocessing is presented to enhance solving efficiency. Finally, through comparing with three real-world cases solved by another two available models, the proposed one performs the best in scheduling optimization as well as substantial reduction of pump cost.
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an milp approach for detailed scheduling of multi Product Pipeline in pressure control mode
2018Co-Authors: Qi Liao, Yongtu Liang, Haoran Zhang, Junao Wang, Xingyuan ZhouAbstract:Abstract Scheduling with hydraulic constraints is one of the crucial aspects to guarantee multi-Product Pipeline safety. This paper develops a discrete-time mixed-integer linear programming (MILP) model for a single-source multi-Product Pipeline in pressure control mode, minimizing the pump cost as well as the labor cost of pump stoppage/restart. Instead of limiting pressure through flowrate constraints, this paper adopts piecewise linear approximation to deal with pump characteristic curves and frictional loss associated to flowrate and establish corresponding pressure constraints. The pressure at all key points along the Pipeline should be within the allowable range to ensure transport safety. In this way, the proposed model can attain the integrated optimization of the Pipeline scheduling and pump scheduling, thereby avoiding the possible mismatch between pressure and flowrate obtained by two-step solving strategy. Finally, the proposed method is compared with another discrete-time MILP model (Chen et al., 2017) which sets the minimum pump rate variation as objective function for the operating economy. Two cases tested on a Chinese real-world Pipeline are given to demonstrate that the optimal detailed schedules obtained by the proposed model perform better in both economy and the convenience of pump operations.
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an milp approach for detailed scheduling of oil depots along a multi Product Pipeline
2017Co-Authors: Haoran Zhang, Yongtu Liang, Qi Liao, Xiaohan YanAbstract:Oil depots along Products Pipelines are important components of the Pipeline transportation system and down-stream markets. The operating costs of oil depots account for a large proportion of the total system’s operating costs. Meanwhile, oil depots and Pipelines form an entire system, and each operation in a single oil depot may have influence on others. It is a tough job to make a scheduling plan when considering the factors of delivering contaminated oil and batches migration. So far, studies simultaneously considering operating constraints and contaminated oil issues are rare. Aiming at making a scheduling plan with the lowest operating costs, the paper establishes a mixed-integer linear programming model, considering a sequence of operations, such as delivery, export, blending, fractionating and exchanging operations, and batch property differences of the same oil as well as influence of batch migration on contaminated volume. Moreover, the paper verifies the linear relationship between oil concentration and blending capability by mathematical deduction. Finally, the model is successfully applied to one of the Product Pipelines in China and proved to be practical.
Xiaohan Yan - One of the best experts on this subject based on the ideXlab platform.
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A hybrid time MILP model for the pump scheduling of multi-Product Pipelines based on the rigorous description of the Pipeline hydraulic loss changes
2019Co-Authors: Xingyuan Zhou, Haoran Zhang, Rui Qiu, Yongtu Liang, Chengcheng Xiang, Xiaohan YanAbstract:Abstract As the primary means of transporting refined Products, multi-Product Pipelines play a significant role in ensuring downstream energy supply. The pump scheduling optimization of multi-Product Pipeline can significantly lower the energy consumption of the Pipeline. With the input parameters of Pipeline flowrates and batch interface locations, which are determined by a specific detailed schedule, this paper first proposes an innovative method for a rigorous description of Pipeline hydraulic loss changes during the multi-batch sequential transportation process. Based on the hybrid time representation, the scheduling horizon is divided into two levels of time windows and a mixed-integer linear programming (MILP) model for the pump scheduling of multi-Product Pipelines is established according to the proposed method. Various technical and operational constraints are considered. Finally, the established model is successfully applied to a real-world multi-Product Pipeline, with three operation modes, in China. The superiority, accuracy, and applicability of this model are validated in detail through comparison with a previous model.
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an milp approach for detailed scheduling of oil depots along a multi Product Pipeline
2017Co-Authors: Haoran Zhang, Yongtu Liang, Qi Liao, Xiaohan YanAbstract:Oil depots along Products Pipelines are important components of the Pipeline transportation system and down-stream markets. The operating costs of oil depots account for a large proportion of the total system’s operating costs. Meanwhile, oil depots and Pipelines form an entire system, and each operation in a single oil depot may have influence on others. It is a tough job to make a scheduling plan when considering the factors of delivering contaminated oil and batches migration. So far, studies simultaneously considering operating constraints and contaminated oil issues are rare. Aiming at making a scheduling plan with the lowest operating costs, the paper establishes a mixed-integer linear programming model, considering a sequence of operations, such as delivery, export, blending, fractionating and exchanging operations, and batch property differences of the same oil as well as influence of batch migration on contaminated volume. Moreover, the paper verifies the linear relationship between oil concentration and blending capability by mathematical deduction. Finally, the model is successfully applied to one of the Product Pipelines in China and proved to be practical.