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Prof. Aipeng JIANG
Hangzhou Dianzi University

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0 Schedule Planning
0 Process Systems Engineering
0 dynamic optimization
0 Simulation and Optimization
0 Optimal control of dynamic, mechanical, quantum systems

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dynamic optimization
Optimal control of dynamic, mechanical, quantum systems

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Journal article
Published: 30 July 2021 in Processes
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The dynamic simulation of the continuous catalytic reforming process is of great significance to the performance prediction and optimization of the entire process. In this study, a 34-lumped mechanism model described by differential algebra was established based on the actual process conditions of the continuous catalytic reforming process in China, and an efficient dynamic simulation solution method based on simultaneous equations was proposed. First, a 34-lumped differential–algebraic mechanism model was established based on the basic principles of reforming kinetics, thermodynamics, material balance, and energy balance. Secondly, in order to solve and simulate the mechanism model composed of 144 differential equations and several algebraic equations, the method of finite-element collocation is used to discretize the differential equations and convert them into large-scale, nonlinear programming problems, and the interior point algorithm is used to estimate its parameters and verify the model. In addition, in order to avoid the problem of too long derivative solution time and too large memory in the solution process, methods such as sparse derivative and Broyden–Fletcher–Goldfarb–Shanno (BFGS) with limited storage are used to solve the problem. Finally, on the basis of model verification, dynamic simulation and sensitivity analysis of the whole process are carried out by modifying different input parameters. The results show that the mechanism model and solution method presented in this paper can quickly and accurately simulate the continuous catalytic reforming process dynamically.

ACS Style

Hanyu Zhang; Weijie Zhao; Aipeng Jiang; Qiu-Yun Huang; Haokun Wang; Qiang Ding. Dynamic Simulation of Continuous Catalytic Reforming Process Based on Simultaneous Solution. Processes 2021, 9, 1347 .

AMA Style

Hanyu Zhang, Weijie Zhao, Aipeng Jiang, Qiu-Yun Huang, Haokun Wang, Qiang Ding. Dynamic Simulation of Continuous Catalytic Reforming Process Based on Simultaneous Solution. Processes. 2021; 9 (8):1347.

Chicago/Turabian Style

Hanyu Zhang; Weijie Zhao; Aipeng Jiang; Qiu-Yun Huang; Haokun Wang; Qiang Ding. 2021. "Dynamic Simulation of Continuous Catalytic Reforming Process Based on Simultaneous Solution." Processes 9, no. 8: 1347.

Journal article
Published: 30 April 2021 in Processes
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This work focuses on the study of robust no-wait flow shop scheduling problem (R-NWFSP) under the interval-valued fuzzy processing time, which aims to minimize the makespan within an upper bound on total completion time. As the uncertainty of actual job processing times may cause significant differences in processing costs, a R-NWFSP model whose objective function involves interval-valued fuzzy sets (IVFSs) is proposed, and an improved SAA is designed for its efficient solution. Firstly, based on the credibility measure, chance constrained programming (CCP) is utilized to make the deterministic transformation of constraints. The uncertain NWFSP is transformed into an equivalent deterministic linear programming model. Then, in order to tackle the deterministic model efficiently, a simulated annealing algorithm (SAA) is specially designed. A powerful neighborhood search method and new acceptance criterion are applied to find better solutions. Numerical computations demonstrate the high efficiency of the SAA. In addition, a sensitivity analysis convincingly shows that the applicability of the proposed model and its solution strategy under interval-valued fuzzy sets.

ACS Style

Hao Sun; Aipeng Jiang; Dongming Ge; Xiaoqing Zheng; Farong Gao. A Chance Constrained Programming Approach for No-Wait Flow Shop Scheduling Problem under the Interval-Valued Fuzzy Processing Time. Processes 2021, 9, 789 .

AMA Style

Hao Sun, Aipeng Jiang, Dongming Ge, Xiaoqing Zheng, Farong Gao. A Chance Constrained Programming Approach for No-Wait Flow Shop Scheduling Problem under the Interval-Valued Fuzzy Processing Time. Processes. 2021; 9 (5):789.

Chicago/Turabian Style

Hao Sun; Aipeng Jiang; Dongming Ge; Xiaoqing Zheng; Farong Gao. 2021. "A Chance Constrained Programming Approach for No-Wait Flow Shop Scheduling Problem under the Interval-Valued Fuzzy Processing Time." Processes 9, no. 5: 789.

Journal article
Published: 13 March 2021 in Processes
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As the leading thermal desalination method, multistage flash (MSF) desalination plays an important role in obtaining freshwater. Its dynamic modeling and dynamic performance prediction are quite important for the optimal control, real-time optimal operation, maintenance, and fault diagnosis of MSF plants. In this study, a detailed mathematical model of the MSF system, based on the first principle and its treatment strategy, was established to obtain transient performance change quickly. Firstly, the whole MSF system was divided into four parts, which are brine heat exchanger, flashing stage room, mixed and split modulate, and physical parameter modulate. Secondly, based on mass, energy, and momentum conservation laws, the dynamic correlation equations were formulated and then put together for a simultaneous solution. Next, with the established model, the performance of a brine-recirculation (BR)-MSF plant with 16-stage flash chambers was simulated and compared for validation. Finally, with the validated model and the simultaneous solution method, dynamic simulation and analysis were carried out to respond to the dynamic change of feed seawater temperature, feed seawater concentration, recycle stream mass flow rate, and steam temperature. The dynamic response curves of TBT (top brine temperature), BBT (bottom brine temperature), the temperature of flashing brine at previous stages, and distillate mass flow rate at previous stages were obtained, which specifically reflect the dynamic characteristics of the system. The presented dynamic model and its treatment can provide better analysis for the real-time optimal operation and control of the MSF system to achieve lower operational cost and more stable freshwater quality.

ACS Style

Qiu-Yun Huang; Ai-Peng Jiang; Han-Yu Zhang; Jian Wang; Yu-Dong Xia; Lu He. Dynamic Modelling and Simulation of a Multistage Flash Desalination System. Processes 2021, 9, 522 .

AMA Style

Qiu-Yun Huang, Ai-Peng Jiang, Han-Yu Zhang, Jian Wang, Yu-Dong Xia, Lu He. Dynamic Modelling and Simulation of a Multistage Flash Desalination System. Processes. 2021; 9 (3):522.

Chicago/Turabian Style

Qiu-Yun Huang; Ai-Peng Jiang; Han-Yu Zhang; Jian Wang; Yu-Dong Xia; Lu He. 2021. "Dynamic Modelling and Simulation of a Multistage Flash Desalination System." Processes 9, no. 3: 522.

Journal article
Published: 31 December 2020 in Processes
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The semi-dry desulfurization of slime fluidized bed boilers (FBB) has been widely used due to its advantages of low cost and high desulfurization efficiency. In this paper, the cooperative optimization of a two-stage desulfurization processes in the slime fluidized bed boiler was studied, and a model-based optimization strategy was proposed to minimize the operational cost of the desulfurization system. Firstly, a mathematical model for the FBB with a two-stage desulfurization process was established. The influences of coal slime elements on combustion flue gas and the factors that may affect the thermal efficiency of the boiler were then analyzed. Then, on the basis of the developed model, a number of parameters affecting the SO2 concentration at the outlet of the slime fluidized bed boiler were simulated and deeply analyzed. In addition, the effects of the sulfur content of coal slime, excess air coefficient, and calcium to sulfur ratio were also discussed. Finally, according to the current SO2 emission standard, the optimization operation problems under different sulfur contents were studied with the goal of minimizing the total desulfurization cost. The results showed that under the same sulfur content, the optimized operation was able to significantly reduce the total desulfurization cost by 9%, consequently improving the thermal efficiency of the boiler, ensuring the stable and up-to-standard emission of flue gas SO2, and thus achieving sustainable development.

ACS Style

Yangjian Xiao; Yudong Xia; Aipeng Jiang; Xiaofang Lv; Yamei Lin; Hanyu Zhang. Research on Optimization of Coal Slime Fluidized Bed Boiler Desulfurization Cooperative Operation. Processes 2020, 9, 75 .

AMA Style

Yangjian Xiao, Yudong Xia, Aipeng Jiang, Xiaofang Lv, Yamei Lin, Hanyu Zhang. Research on Optimization of Coal Slime Fluidized Bed Boiler Desulfurization Cooperative Operation. Processes. 2020; 9 (1):75.

Chicago/Turabian Style

Yangjian Xiao; Yudong Xia; Aipeng Jiang; Xiaofang Lv; Yamei Lin; Hanyu Zhang. 2020. "Research on Optimization of Coal Slime Fluidized Bed Boiler Desulfurization Cooperative Operation." Processes 9, no. 1: 75.

Journal article
Published: 07 July 2020 in Processes
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Multi-stage flash (MSF) desalination plays an important role in achieving large-scale fresh water driven by thermal energy. In this paper, based on first-principle modeling of a typical multi-stage flash desalination system, the effects of different operational parameters on system performance and operational optimization for cost saving were extensively studied. Firstly, the modelled desalination system was divided into flash chamber modules, brine heater modules, mixed modules and split modules, and based on energy and mass conservation laws the equations were formulated and put together to describe the whole process model. Then, with physical parameter calculation the whole process was simulated and analyzed on the platform of MATLAB, and the water production performance effected by operational parameters such as the feed temperature of seawater, the recycle brine from the discharge section, steam temperature and flowrate of recycled brine were discussed and analyzed. Then, the optimal operation to achieve maximize GOR (gained output ratio) with fixed freshwater demand was considered and performed, and thus the optimal flowrate of recycled brine, steam temperature, and seawater output flowrate from rejection section were obtained based on the established model. Finally, considering that minimizing the daily operational cost is a more rational objective, the operational cost equations were formulated and the optimal problem to minimize the daily operational cost was solved and the optimal manipulated variables at different hours were obtained. The study results can be used for guideline of real time optimization of the MSF system.

ACS Style

Hanhan Gao; Aipeng Jiang; Qiuyun Huang; Yudong Xia; Farong Gao; Jian Wang. Mode-Based Analysis and Optimal Operation of MSF Desalination System. Processes 2020, 8, 794 .

AMA Style

Hanhan Gao, Aipeng Jiang, Qiuyun Huang, Yudong Xia, Farong Gao, Jian Wang. Mode-Based Analysis and Optimal Operation of MSF Desalination System. Processes. 2020; 8 (7):794.

Chicago/Turabian Style

Hanhan Gao; Aipeng Jiang; Qiuyun Huang; Yudong Xia; Farong Gao; Jian Wang. 2020. "Mode-Based Analysis and Optimal Operation of MSF Desalination System." Processes 8, no. 7: 794.

Book chapter
Published: 02 August 2018 in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
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In this work, a real time optimization method integrating freshwater production and supply water load was presented based on hourly water load rolling prediction and sequential solution of the optimization problem. Firstly, based on historical data of supply water, a new load rolling prediction method with better prediction accuracy was proposed. Then, the optimal operation problem was formulated and the real time optimization strategy including water load rolling prediction, discretization of DAEs and rolling update of optimal operation profile was given. Lastly, case study based on history data of water load was carried out as illustration. Computing result shows that the proposed operational optimization method can practically bring more than 25% energy cost saving than the conventional method.

ACS Style

Aipeng Jiang; Haokun Wang; Quannan Zhang; Jian Wang; Shu Jiangzhou. Optimal operation of seawater desalination system based on load rolling prediction. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2018, 44, 1075 -1080.

AMA Style

Aipeng Jiang, Haokun Wang, Quannan Zhang, Jian Wang, Shu Jiangzhou. Optimal operation of seawater desalination system based on load rolling prediction. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2018; 44 ():1075-1080.

Chicago/Turabian Style

Aipeng Jiang; Haokun Wang; Quannan Zhang; Jian Wang; Shu Jiangzhou. 2018. "Optimal operation of seawater desalination system based on load rolling prediction." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 44, no. : 1075-1080.

Book chapter
Published: 02 August 2018 in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
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This paper proposes a stochastic optimization framework for scheduling of a large-scale parallel-unit seawater reverse osmosis (SWRO) desalination plant. Two kinds of uncertainties, water consumption fluctuation and RO units malfunction, are considered. A combination scheduling frame including two routes, a robust pre-scheduling and a reactive rescheduling, is built to handle these two uncertainties. Both optimal scheduling problems are built as change constrained models, and the Monte Carlo method is used to solve the uncertainty problems. An improved genetic algorithm is constructed to compute the efficient solutions. The simulation results show that prescheduling can greatly overcome the effect of water consumption fluctuations, and the reactive rescheduling can improve the behaviours of dynamic operation.

ACS Style

Jian Wang; Chao Zheng; Wentao Shen; Chunhua Zhang; Haokun Wang; Aipeng Jiang. Scheduling of Seawater Reverse Osmosis Desalination under Two Kinds of Uncertain Factors. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2018, 44, 1537 -1542.

AMA Style

Jian Wang, Chao Zheng, Wentao Shen, Chunhua Zhang, Haokun Wang, Aipeng Jiang. Scheduling of Seawater Reverse Osmosis Desalination under Two Kinds of Uncertain Factors. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2018; 44 ():1537-1542.

Chicago/Turabian Style

Jian Wang; Chao Zheng; Wentao Shen; Chunhua Zhang; Haokun Wang; Aipeng Jiang. 2018. "Scheduling of Seawater Reverse Osmosis Desalination under Two Kinds of Uncertain Factors." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 44, no. : 1537-1542.

Research article
Published: 28 June 2018 in Industrial & Engineering Chemistry Research
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Because the optimal operation trajectory obtained under a fixed freshwater demand and known operational conditions could not achieve cost savings when these parameters change uncertainly over time, in this paper, a real time operational optimization method based on rolling prediction of hourly freshwater demand is proposed. First, via analysis of the historical data of hourly water consumption in a seawater desalination system, a new method for predicting the daily water demand in the next 24 h is proposed, and the predicted trajectory is continuously corrected and updated with present freshwater consumption. Then, with the well-established seawater desalination system model combined with the dynamics of a storage tank, a real time optimal operational problem with the strategy for its solution is given to minimize the daily operational cost. The optimization problem with differential and algebraic equations is discretized into a nonlinear programming problem by finite element collocation, and then a rolling optimization solution strategy based on simulation is used. Finally, a case study is used to verify the proposed method. The results show that the proposed optimal operation method can achieve significant cost savings and can also overcome the water level violation problem under a fixed freshwater demand or via the conventional method.

ACS Style

Quannan Zhang; Aipeng Jiang; Minliang Gong; Haokun Wang; Jian Wang; Shu Jiangzhou. Real Time Operational Optimization of a Seawater Desalination System Based on Rolling Prediction of Hourly Freshwater Demand. Industrial & Engineering Chemistry Research 2018, 57, 10528 -10538.

AMA Style

Quannan Zhang, Aipeng Jiang, Minliang Gong, Haokun Wang, Jian Wang, Shu Jiangzhou. Real Time Operational Optimization of a Seawater Desalination System Based on Rolling Prediction of Hourly Freshwater Demand. Industrial & Engineering Chemistry Research. 2018; 57 (31):10528-10538.

Chicago/Turabian Style

Quannan Zhang; Aipeng Jiang; Minliang Gong; Haokun Wang; Jian Wang; Shu Jiangzhou. 2018. "Real Time Operational Optimization of a Seawater Desalination System Based on Rolling Prediction of Hourly Freshwater Demand." Industrial & Engineering Chemistry Research 57, no. 31: 10528-10538.

Conference paper
Published: 01 December 2017 in 2017 11th Asian Control Conference (ASCC)
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In the work, a new integrated methodology for the solution of dynamic optimization problem with time varying parameters and bound state constraints was proposed. The dynamic optimization problem was fully discretized with simultaneous method through finite element collocation, and was transferred into nonlinear programing problem. Then with the new predicted profile of time varying parameters and new monitored model structure coefficient in the left time horizon, the dynamic optimization problem was repeatedly solved in the whole time interval based on simulation technique, which was carried out one element by one element and one sub-interval by one sub-interval to obtain good initial guess for NLP solver. Case study of heat pump heating system shows that the proposed methodology can solve this kind of dynamic problem smoothly; better optimal results can be achieved and at the same time, the final state constraints can also be satisfied.

ACS Style

Aipeng Jiang; Haokun Wang; Yun Chen; Qiang Ding; Shu Jiangzhou. Solution of complex optimal control problem with time varying parameters and bound state constraints. 2017 11th Asian Control Conference (ASCC) 2017, 1596 -1601.

AMA Style

Aipeng Jiang, Haokun Wang, Yun Chen, Qiang Ding, Shu Jiangzhou. Solution of complex optimal control problem with time varying parameters and bound state constraints. 2017 11th Asian Control Conference (ASCC). 2017; ():1596-1601.

Chicago/Turabian Style

Aipeng Jiang; Haokun Wang; Yun Chen; Qiang Ding; Shu Jiangzhou. 2017. "Solution of complex optimal control problem with time varying parameters and bound state constraints." 2017 11th Asian Control Conference (ASCC) , no. : 1596-1601.

Conference paper
Published: 01 October 2017 in 2017 Chinese Automation Congress (CAC)
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Energy saving of compressed air system was studied in this work. The whole process model including compressor's performance, pressure loss of pipeline and pressure change of storage tank was founded. And then compared with performance equations of FSD compressors, energy cost and related Volumetric efficiency change along the variable frequency was achieved. With these models founded, simulations of the compressed air system with different number and type of compressors were carried out, meaningful results including the dperformance and internal state were obtained, which is helpful for the analysis and understanding of the process, also from the comparison of cascaded control mode and frequency control mode for complex system with multi-compressors, specific energy saving and stable pressure control for output pressure can be demonstrated with frequency control mode. The work is quite good for the performance analysis and energy saving instruction of compressed air system.

ACS Style

Junjie Hu; Aipeng Jiang; Quannan Zhang; Weifeng Xu. Modelling and analysis of compressed air system with compressors. 2017 Chinese Automation Congress (CAC) 2017, 3081 -3086.

AMA Style

Junjie Hu, Aipeng Jiang, Quannan Zhang, Weifeng Xu. Modelling and analysis of compressed air system with compressors. 2017 Chinese Automation Congress (CAC). 2017; ():3081-3086.

Chicago/Turabian Style

Junjie Hu; Aipeng Jiang; Quannan Zhang; Weifeng Xu. 2017. "Modelling and analysis of compressed air system with compressors." 2017 Chinese Automation Congress (CAC) , no. : 3081-3086.

Research article
Published: 19 July 2017 in Mathematical Problems in Engineering
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The finite element orthogonal collocation method is widely used in the discretization of differential algebraic equations (DAEs), while the discrete strategy significantly affects the accuracy and efficiency of the results. In this work, a finite element meshing method with error estimation on noncollocation point is proposed and several cases were studied. Firstly, the simultaneous strategy based on the finite element is used to transform the differential and algebraic optimization problems (DAOPs) into large scale nonlinear programming problems. Then, the state variables of the reaction process are obtained by simulating with fixed control variables. The noncollocation points are introduced to compute the error estimates of the state variables at noncollocation points. Finally, in order to improve the computational accuracy with less finite element, moving finite element strategy was used for dynamically adjusting the length of finite element appropriately to satisfy the set margin of error. The proposed strategy is applied to two classical control problems and a large scale reverse osmosis seawater desalination process. Computing result shows that the proposed strategy can effectively reduce the computing effort with satisfied accuracy for dynamic optimization problems.

ACS Style

Minliang Gong; Aipeng Jiang; Quannan Zhang; Haokun Wang; Junjie Hu; Yinghui Lin. An Improved Finite Element Meshing Strategy for Dynamic Optimization Problems. Mathematical Problems in Engineering 2017, 2017, 1 -10.

AMA Style

Minliang Gong, Aipeng Jiang, Quannan Zhang, Haokun Wang, Junjie Hu, Yinghui Lin. An Improved Finite Element Meshing Strategy for Dynamic Optimization Problems. Mathematical Problems in Engineering. 2017; 2017 ():1-10.

Chicago/Turabian Style

Minliang Gong; Aipeng Jiang; Quannan Zhang; Haokun Wang; Junjie Hu; Yinghui Lin. 2017. "An Improved Finite Element Meshing Strategy for Dynamic Optimization Problems." Mathematical Problems in Engineering 2017, no. : 1-10.

Journal article
Published: 13 October 2016 in Chinese Journal of Chemical Engineering
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In this study, a linear model predictive control (MPC) approach with optimal filters is proposed for handling unmeasured disturbances with arbitrary statistics. Two types of optimal filters are introduced into the framework of MPC to relax the assumption of integrated white noise model in existing approaches. The introduced filters are globally optimal for linear systems with unmeasured disturbances that have unknown statistics. This enables the proposed MPC to better handle disturbances without access to disturbance statistics. As a result, the effort required for disturbance modeling can be alleviated. The proposed MPC can achieve offset-free control in the presence of asymptotically constant unmeasured disturbances. Simulation results demonstrate that the proposed approach can provide an improved disturbance õrejection performance over conventional approaches when applied to the control of systems with unmeasured disturbances that have arbitrary statistics.

ACS Style

Haokun Wang; Zuhua Xu; Jun Zhao; Aipeng Jiang. An optimal filter based MPC for systems with arbitrary disturbances. Chinese Journal of Chemical Engineering 2016, 25, 632 -640.

AMA Style

Haokun Wang, Zuhua Xu, Jun Zhao, Aipeng Jiang. An optimal filter based MPC for systems with arbitrary disturbances. Chinese Journal of Chemical Engineering. 2016; 25 (5):632-640.

Chicago/Turabian Style

Haokun Wang; Zuhua Xu; Jun Zhao; Aipeng Jiang. 2016. "An optimal filter based MPC for systems with arbitrary disturbances." Chinese Journal of Chemical Engineering 25, no. 5: 632-640.

Book chapter
Published: 01 January 2015 in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
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ACS Style

Jian Wang; Aipeng Jiang; Lekai Lian; Guohui Huang; Qiang Ding; Shu Jiangzhou. A Rescheduling Approach for a Large-scale Reverse Osmosis Desalination Plant under Uncertain Fresh Water Demand. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2015, 37, 1991 -1996.

AMA Style

Jian Wang, Aipeng Jiang, Lekai Lian, Guohui Huang, Qiang Ding, Shu Jiangzhou. A Rescheduling Approach for a Large-scale Reverse Osmosis Desalination Plant under Uncertain Fresh Water Demand. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2015; 37 ():1991-1996.

Chicago/Turabian Style

Jian Wang; Aipeng Jiang; Lekai Lian; Guohui Huang; Qiang Ding; Shu Jiangzhou. 2015. "A Rescheduling Approach for a Large-scale Reverse Osmosis Desalination Plant under Uncertain Fresh Water Demand." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 37, no. : 1991-1996.

Journal article
Published: 01 January 2015 in IFAC-PapersOnLine
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It is quite important to improve the energy saving of air source heat pump heating system through optimal operation and system engineering method. In this work, the nonlinear dynamic process of the heat pump heating process was established and the integral optimal objective function was then formulated to balance the control accuracy and energy saving. To solve the differential and algebraic optimization problems (DAOPs) efficiently, simultaneous method was used to discretize the problem by collocation of finite elements. Computing results show that potential energy saving of more than 16% can be achieved under permitted accuracy error of zone temperature control, and the ambient air temperature and electricity price have significant effect on the optimal operation and performance of the heat pump heating system. Base on the computing results and analysis of operational parameters, a strategy to dynamically adjust the weight of objective function to balance the control accuracy and energy cost was proposed for the propose of further energy saving, computing results show that: if we dynamically adjusted the weight of objective function with this method, about 4.7% of further energy cost saving can be obtained. Our research is of significant meaning for the optimal operation of heat pump heating system under dynamical conditions.

ACS Style

Changxin Xing; Qiang Ding; Aipeng Jiang; Wen Cheng; Dahan Zhou. Dynamic Operational Optimization of Air Source Heat Pump Heating System with the Consideration of Energy Saving. IFAC-PapersOnLine 2015, 48, 740 -745.

AMA Style

Changxin Xing, Qiang Ding, Aipeng Jiang, Wen Cheng, Dahan Zhou. Dynamic Operational Optimization of Air Source Heat Pump Heating System with the Consideration of Energy Saving. IFAC-PapersOnLine. 2015; 48 (8):740-745.

Chicago/Turabian Style

Changxin Xing; Qiang Ding; Aipeng Jiang; Wen Cheng; Dahan Zhou. 2015. "Dynamic Operational Optimization of Air Source Heat Pump Heating System with the Consideration of Energy Saving." IFAC-PapersOnLine 48, no. 8: 740-745.

Journal article
Published: 01 January 2015 in IFAC-PapersOnLine
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In this work, the operational optimization of seawater reverse osmosis (SWRO) process is studied to reduce the energy cost. Effects of load fluctuation and electricity price change were considered, and storage tanks were used to adjust the water production and balance the freshwater demand. Based on comprehensive first-principles, a detailed and accurate mathematical model with spiral-wound membranes, water storage tanks and water demands is developed and validated by plant data and the ROSA9.0 simulation package. The operational optimization problem with the form of DAEs was solved with simultaneous approach and IPOPT solver. Computing results of real SWRO plant were then investigated. It is shown that, compared with conventional operation and operation with constant water level, about 27.88% and 24.17%of energy cost, respectively, can be saved by optimizing both feed flowrate and feed pressure within normal range. Optimal profiles of key performance states were analyzed and future work for operational cost saving are described.

ACS Style

Aipeng Jiang; Shu Jiangzhou; Wen Cheng; Jian Wang; Qiang Ding; Changxin Xing. Operational optimization of SWRO process with the consideration of load fluctuation and electricity price. IFAC-PapersOnLine 2015, 48, 598 -604.

AMA Style

Aipeng Jiang, Shu Jiangzhou, Wen Cheng, Jian Wang, Qiang Ding, Changxin Xing. Operational optimization of SWRO process with the consideration of load fluctuation and electricity price. IFAC-PapersOnLine. 2015; 48 (8):598-604.

Chicago/Turabian Style

Aipeng Jiang; Shu Jiangzhou; Wen Cheng; Jian Wang; Qiang Ding; Changxin Xing. 2015. "Operational optimization of SWRO process with the consideration of load fluctuation and electricity price." IFAC-PapersOnLine 48, no. 8: 598-604.

Research article
Published: 23 June 2014 in Journal of Applied Mathematics
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Reverse osmosis (RO) technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO) process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs), to solve the problem efficiently, the simultaneous method through orthogonal collocation on finite elements and large scale solver were used to obtain the solutions. The model was fully discretized into NLP (nonlinear programming) with large scale variables and equations, and then the NLP was solved by large scale solver of IPOPT. Validation of the formulated model and solution method is verified by case study on a SWRO plant. Then simulation and analysis are carried out to demonstrate the performance of reverse osmosis process; operational conditions such as feed pressure and feed flow rate as well as feed temperature are also analyzed. This work is of significant meaning for the detailed understanding of RO process and future energy saving through operational optimization.

ACS Style

Aipeng Jiang; Qiang Ding; Jian Wang; Shu Jiangzhou; Wen Cheng; Changxin Xing. Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method. Journal of Applied Mathematics 2014, 2014, 1 -11.

AMA Style

Aipeng Jiang, Qiang Ding, Jian Wang, Shu Jiangzhou, Wen Cheng, Changxin Xing. Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method. Journal of Applied Mathematics. 2014; 2014 ():1-11.

Chicago/Turabian Style

Aipeng Jiang; Qiang Ding; Jian Wang; Shu Jiangzhou; Wen Cheng; Changxin Xing. 2014. "Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method." Journal of Applied Mathematics 2014, no. : 1-11.

Research article
Published: 18 June 2014 in Mathematical Problems in Engineering
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In this work, an efficient strategy was proposed for efficient solution of the dynamic model of SWRO system. Since the dynamic model is formulated by a set of differential-algebraic equations, simultaneous strategies based on collocations on finite element were used to transform the DAOP into large scale nonlinear programming problem named Opt2. Then, simulation of RO process and storage tanks was carried element by element and step by step with fixed control variables. All the obtained values of these variables then were used as the initial value for the optimal solution of SWRO system. Finally, in order to accelerate the computing efficiency and at the same time to keep enough accuracy for the solution of Opt2, a simple but efficient finite element refinement rule was used to reduce the scale of Opt2. The proposed strategy was applied to a large scale SWRO system with 8 RO plants and 4 storage tanks as case study. Computing result shows that the proposed strategy is quite effective for optimal operation of the large scale SWRO system; the optimal problem can be successfully solved within decades of iterations and several minutes when load and other operating parameters fluctuate.

ACS Style

Aipeng Jiang; Jian Wang; Wen Cheng; Changxin Xing; Shu Jiangzhou. A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System. Mathematical Problems in Engineering 2014, 2014, 1 -12.

AMA Style

Aipeng Jiang, Jian Wang, Wen Cheng, Changxin Xing, Shu Jiangzhou. A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System. Mathematical Problems in Engineering. 2014; 2014 (1):1-12.

Chicago/Turabian Style

Aipeng Jiang; Jian Wang; Wen Cheng; Changxin Xing; Shu Jiangzhou. 2014. "A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System." Mathematical Problems in Engineering 2014, no. 1: 1-12.

Conference paper
Published: 01 July 2012 in Proceedings of the 10th World Congress on Intelligent Control and Automation
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With the requirements for promoting the energy saving and environmental protection, it is the main trend for fluidized bed boiler to realize combustion control and online computing of heat efficiency. In order to achieve combustion automatic control of fluidized bed boilers, and improve self-control rates and on-line monitoring of boilers' heat efficiency. In this study, the combustion control scheme was firstly designed for a 75 tons fluidized bed boiler. the automatic control for feed water, superheated steam temperature, superheated steam pressure and oxygen were realized in the DCS system. Then the overall automatic control of combustion was achieved with advanced control technology. Next, based on the presented work, on line calculation of heat efficency was realized, witch which various parts of heat losses and total heat efficiency can be real-time monitored to guide the optimal operation of the boiler. It is very important for energy saving and power management requirements.

ACS Style

Aipeng Jiang; Weiwei Lin; Qiang Ding; Zhifeng Liu; Jiafeng Fan; Shao Bing. Research on combustion control and heat efficiency's online computing of slime fluidized bed boiler. Proceedings of the 10th World Congress on Intelligent Control and Automation 2012, 3412 -3416.

AMA Style

Aipeng Jiang, Weiwei Lin, Qiang Ding, Zhifeng Liu, Jiafeng Fan, Shao Bing. Research on combustion control and heat efficiency's online computing of slime fluidized bed boiler. Proceedings of the 10th World Congress on Intelligent Control and Automation. 2012; ():3412-3416.

Chicago/Turabian Style

Aipeng Jiang; Weiwei Lin; Qiang Ding; Zhifeng Liu; Jiafeng Fan; Shao Bing. 2012. "Research on combustion control and heat efficiency's online computing of slime fluidized bed boiler." Proceedings of the 10th World Congress on Intelligent Control and Automation , no. : 3412-3416.

Proceedings article
Published: 01 January 2008 in 2008 7th World Congress on Intelligent Control and Automation
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Recently, more attention was put on the noise control of automotive. To reduce the noise of intake system of some kind of automotive, a model of automotive intake system was found based on transfer matrix method and black box experimental method. Then to fulfill the requirement of design and realize better anechoic effect, single objective optimization and multi-objective problem was formulated. To get the optimal performance and the optimal structure parameters, the problems were solved by genetic algorithm (GA) and NSGAII through Matlab platform, and optimal analysis was carried out to get the optimal parameters under different requirements and soft constraints. The results of our work have the guiding sense to the reality production.

ACS Style

Aipeng Jiang; Jingtao Huang; Jian Wang; Qiang Ding; Zhoushu Jiang; Guohui Huang. Optimal design of intake system mufflers in engine based on single and multi-objective optimization. 2008 7th World Congress on Intelligent Control and Automation 2008, 8733 -8737.

AMA Style

Aipeng Jiang, Jingtao Huang, Jian Wang, Qiang Ding, Zhoushu Jiang, Guohui Huang. Optimal design of intake system mufflers in engine based on single and multi-objective optimization. 2008 7th World Congress on Intelligent Control and Automation. 2008; ():8733-8737.

Chicago/Turabian Style

Aipeng Jiang; Jingtao Huang; Jian Wang; Qiang Ding; Zhoushu Jiang; Guohui Huang. 2008. "Optimal design of intake system mufflers in engine based on single and multi-objective optimization." 2008 7th World Congress on Intelligent Control and Automation , no. : 8733-8737.

Proceedings article
Published: 01 January 2008 in 2008 7th World Congress on Intelligent Control and Automation
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With the development of optimization heads toward large-scale problems, a series of optimization packages were developed for large-scale NLP optimization. The RSQP (reduced sequential quadratic programming) we concerned is one of best large scale NLP algorithm, and is especially efficient in process operation optimization. In this paper, the performance of our concerned algorithm RSQP, CONOPT2 and MINOS5 were tested by large-scale benchmarking COPS examples, the calculation was under the environment of GAMS. Computing results demonstrate that the performance of CONOPT2 was better than the others on robustness and efficiency. To problems with relatively small degrees of freedom, the performance of MINOS5 worked worst, though RSQP was not as robust as CONOPT2, its memory required reduced as half as CONOPT2. The results show that the RSQP we concerned has great advances for large scale optimization and further research for the algorithmpsilas stability is very necessary.

ACS Style

Aipeng Jiang; Jingtao Huang; Zhoushu Jiang; Jian Wang; Guohui Huang; Qiang Ding. Performance analysis of algorithms for large-scale nonlinear optimization. 2008 7th World Congress on Intelligent Control and Automation 2008, 7333 -7338.

AMA Style

Aipeng Jiang, Jingtao Huang, Zhoushu Jiang, Jian Wang, Guohui Huang, Qiang Ding. Performance analysis of algorithms for large-scale nonlinear optimization. 2008 7th World Congress on Intelligent Control and Automation. 2008; ():7333-7338.

Chicago/Turabian Style

Aipeng Jiang; Jingtao Huang; Zhoushu Jiang; Jian Wang; Guohui Huang; Qiang Ding. 2008. "Performance analysis of algorithms for large-scale nonlinear optimization." 2008 7th World Congress on Intelligent Control and Automation , no. : 7333-7338.