scholarly journals Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1002 ◽  
Author(s):  
Hao Wang ◽  
Xiaohui Lei ◽  
Soon-Thiam Khu ◽  
Lixiang Song
Keyword(s):  
Operating Time ◽  
Mathematical Optimization ◽  
Optimization Method ◽  
Storm Water Management Model ◽  
Pumping Station ◽  
Pumping Stations ◽  
Start Up ◽  
Study Results ◽  
Mathematical Optimization Model

The pumps in multistage drainage pumping stations are often subject to frequent start-up and shutoffs during operation because of unreasonable start-up depths of the pumps; this will reduce the service lives of the pumps. To solve this problem, an optimization method for minimizing pump start-up and shutoff times is proposed. In this method, the operation of pumps in pumping station was optimized by constructing a mathematical optimization model. The storm water management model (SWMM) and particle swarm optimization (PSO) method were used to solve the problem and the optimal start-up depth of each pump is obtained. Nine pumping stations in Beijing were selected as a case study and this method was applied for multistage pumping station optimization and single pumping station optimization in the case study. Results from the case study demonstrate that the multistage pumping station optimization acquired a small number of pump start-up/shutoff times, which were from 8 to 114 in different rainfall scenarios. Compared with the multistage pumping station optimization, the single pumping station optimization had a bigger number of pump start-up/shutoff times, which were from 1 to 133 times, and the pump operating time was also longer, from 72 min to 7542 min. Therefore, the multistage pumping station optimization method was more suitable to reduce the frequency of pump start-up/shutoffs.

Optimization Method Based on Genetic Evolution for Multiple-Stage Coordinate Mining of Multiple Mining Areas with same Coal

2013 ◽  
Vol 807-809 ◽  
pp. 2460-2469
Author(s):  
Qiang Zeng ◽  
Ze Bin Zhang ◽  
Zu Qiang Xiong ◽  
De Quo Xiong
Keyword(s):  
Optimization Model ◽  
Mathematical Optimization ◽  
Optimization Method ◽  
Great Difficulty ◽  
Simplified Model ◽  
Genetic Evolution ◽  
Total Sale ◽  
Mining Areas ◽  
Mathematical Optimization Model

Aiming at the multiple-stage coordinate mining problem for multiple mining areas with same coal, an optimization method based on genetic evolution is proposed. Firstly, a mathematical optimization model with the objective to maximize the total sale of synthetic coal is established. Then, the model is simplified to another mathematical optimization model with the objective to maximize price of synthetic coal of each stage because of the great difficulty to resolve the model. Thirdly, a genetic algorithm for coordinate mining of multiple mining areas is presented and designed to resolve the simplified model. Finally, the effectiveness of the proposed method is validated by case study.

scholarly journals A Mathematical Model for the Optimization of Renewable Energy Systems

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 39
Author(s):  
Mariam Gómez Sánchez ◽  
Yunesky Masip Macia ◽  
Alejandro Fernández Gil ◽  
Carlos Castro ◽  
Suleivys M. Nuñez González ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Mathematical Optimization ◽  
Fundamental Aspect ◽  
Economic Costs ◽  
Renewable Energy Systems ◽  
The Sustainable Development ◽  
Cost Of Energy ◽  
Mathematical Optimization Model ◽  
The Cost

The generation of energy from renewable sources is a fundamental aspect for the sustainable development of society, and several energy sources such as solar, biomass, biogas, and wind must be used to the maximum to meet existing needs. In Chile, there are villages that are off-grid. A real case study is presented in this research. To meet the needs of this village we have proposed a mathematical optimization model using a CPLEX optimizer to generate the necessary energy power while minimizing the cost of energy (COE). In this study, different scenarios have been evaluated with respect to the existing energy availabilities, for example, in different periods of the year, demonstrated in terms of economic costs, the viability of resources such as biomass and biogas, and the viability of the energy production of wind power given the associated high costs. Finally, the effect of the use of renewable energy in consideration of CO2 emissions is studied in our research.

Tabu Search-Based Formation of Reconfigurable Manufacturing Cells

2013 ◽  
Vol 397-400 ◽  
pp. 34-41
Author(s):  
Jing Jun Du ◽  
Guo Xin Wang ◽  
Yan Yan ◽  
Qian Sang
Keyword(s):  
Tabu Search ◽  
Mathematical Optimization ◽  
Global Market ◽  
Reconfigurable Manufacturing ◽  
Manufacturing Cells ◽  
Balanced Distribution ◽  
Initial Feasible Solution ◽  
Mathematical Optimization Model ◽  
Coefficient Method

In order to make manufacturing system to adapt to the rapidly changing global market environment, Reconfigurable Manufacturing Cells (RMCs) based on balanced distribution of machines function were presented. Firstly, Similarity Coefficient Method (SCM) was used to cluster some parts to form part families which are the foundation of RMC. Then, a mathematical optimization model was set based on the workshop layout whose functional characteristics are balanced distribution. Tabu Search (TS) algorithm was designed to solve the selection problem of process routes. In the algorithm, a recycled search method was used to generate an initial feasible solution, and then the method of swapping adjacent elements was used to generate neighborhoods. Finally, software MATLAB was used to realize the algorithm, and a case study of simulation was used to verify the feasibility and effectiveness of the algorithm.

Optimization Design of Cable-Frame Antennas Based on Tension Compensation Method

2014 ◽  
Vol 496-500 ◽  
pp. 797-803 ◽  
Author(s):  
Ya Li Zong ◽  
Hong Jun Cao
Keyword(s):  
Optimization Design ◽  
Flexible Structures ◽  
Mathematical Optimization ◽  
Optimization Method ◽  
Compensation Method ◽  
Surface Error ◽  
Cable Network ◽  
Mathematical Optimization Model ◽  
Stress States ◽  
Cable Nets

Tension truss reflectors are flexible structures characterized by strong geometric nonlinearities, thus the surface error and the real cable tensions of a reflector cannot be controlled efficiently to anticipant levels by their initial cable tensions. To ensure both appropriate node positions and anticipant cable tensions, an optimization method based on Tension Compensation Method is presented. First, a parameterized description of the zero-stress states of the front net and the rear net is proposed and the strategy of Tension Compensation Method is used to control the cable tensions to anticipant levels. Second, a mathematical optimization model for the cable tensions and the zero-stress state design of the cable network is established based on Tension Compensation Method with the optimization target of minimizing surface error of the reflector. Finally, the feasibility and effectiveness of the presented method are validated by some numerical examples. The results show that the cable tensions can be effectively controlled by the proposed method, and this method can generate regular zero-stress states of the cable-nets which may bring great convenience to the lofting work of the cable network.

scholarly journals Optimization Methodology for Estimating Pump Curves Using SCADA Data

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 586
Author(s):  
Elad Salomons ◽  
Uri Shamir ◽  
Mashor Housh
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Field Tests ◽  
Small Range ◽  
Pumping Station ◽  
Pumping Stations ◽  
Long Time ◽  
Optimization Methodology ◽  
Relationship Of

Water distribution systems (WDSs) deliver water from sources to consumers. These systems are made of hydraulic elements such as reservoirs, tanks, pipes, valves, and pumps. A pump is characterized by curves which define the relationship of the pump’s head gain and efficiency with its flow. For a new pump, the curves are provided by the manufacturer. However, due to its operating history, the performance of a pump deteriorates, and its curves decline at an estimated rate of about 1% per year. Pump curves are key elements for planning and management of WDSs and for monitoring system efficiency, to determine when a pump should be rehabilitated or replaced. In practice, determining pump curves is done by field tests, which are conducted every few years. This leaves the pump’s performance unmonitored for long time periods. Moreover, these tests often cover only a small range of the curves. This study demonstrates that in the era of IoT and big data, the data collected by Supervisory Control And Data Acquisition (SCADA) systems can be used to continuously monitor pumps’ performance and derive updated pump characteristic curves. We present and demonstrate a practical methodology to estimate fixed and variable speed pump curves in pumping stations. The proposed method can estimate individual pump curves even when the measurements are given only for the pumping station as a whole (i.e., total flow, pumping station head gain). The methodology is demonstrated in a real-world case study of a pumping station in southern Israel.

MULTI-LEVEL, MULTI-FACTOR OPTIMIZATION IN DECISION MAKING FOR EMERGENCY TREATMENT OF QUAKE LAKES

2011 ◽  
Vol 05 (05) ◽  
pp. 475-491
Author(s):  
HONGWEI ZHOU ◽  
LIN ZHANG ◽  
XINGGUO YANG ◽  
HONGTAO LI ◽  
JIAWEN ZHOU ◽  
...  
Keyword(s):  
Decision Making ◽  
Wenchuan Earthquake ◽  
Emergency Treatment ◽  
Drainage Basin ◽  
Optimization Method ◽  
Flood Season ◽  
Study Results ◽  
Multi Level

One hundred and thirty three quake lakes were formed in Wenchuan Earthquake of May 12. There may be several or even a dozen quake lakes in the same drainage basin. During the emergency treatment of quake lakes, due to constraints of resources and time, it is often imperative to select one or a few quake lakes of high priority in the same drainage basin for treatment in order for the entire drainage basin to safely pass the flood season. There are many factors involved in the optimization of emergency treatment project of quake lakes and these factors are usually of different nature. This article proposes to use a multi-level, multi-factor optimization method in decision making of emergency treatment of quake lakes based on the concept and operation properties of fuzzy-consistent matrix. This method is convenient and practical when many qualitative factors are involved and the determination of membership function is difficult. A case study was conducted for the 16 quake lakes on the Mianyuan River by using the proposed method. Three quake lakes selected according to case study results went through emergency treatment before the 2009 flood season, helping the entire Mianyuan River safely pass the 2009 flood season.

scholarly journals The Study of Subsurface Land Drainage Optimal Design Model

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ahmad Bakour ◽  
Zhanyu Zhang ◽  
Chengxin Zheng ◽  
Mohamed A. ALsakran ◽  
Mohamad Bakir
Keyword(s):  
Mathematical Model ◽  
Optimal Design ◽  
Computer Code ◽  
Land Drainage ◽  
Vertical Drainage ◽  
Pumping Stations ◽  
Study Results ◽  
Alternative Designs ◽  
The Mathematical Model

This paper focused on choosing the best design of subsurface land drainage systems in semiarid areas. The study presented three different soil layers with different hydraulic conductivity and permeability, all layers are below the drain level, and the permeability is increasing with depth. A mathematical model was formulated for the horizontal and vertical drainage optimal design. The result was a nonlinear optimization problem with nonlinear constraints, which required numerical methods for its solution. The purpose of the mathematical model is to find the best values of pipes and tubewells spacing, groundwater table drawdown, and pumps operating hours which leads to a minimum total cost of the subsurface drainage design. A computer code was developed in MATLAB environment and applied to the case study. Results show that the vertical drainage was economically better for the case study drainage network design. And the main factor affecting the mathematical model for both pipe and well drainage was the distance between pipes and tubewells. In addition, considering the lifespan of vertical drainage project, the optimal design involves the minimum possible duration of pumping stations. It is hoped that the proposed optimal mathematical model will present a design methodology by which the costs of all alternative designs can be compared so that the least-cost design is selected.

Dimensioning a recovery boiler furnace using mathematical optimization

TAPPI Journal ◽  
2015 ◽  
Vol 14 (2) ◽  
pp. 119-129 ◽  
Author(s):  
VILJAMI MAAKALA ◽  
PASI MIIKKULAINEN
Keyword(s):  
Radial Basis Function Network ◽  
High Capacity ◽  
Mathematical Optimization ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Performance Criteria ◽  
Boiler Furnace ◽  
Starting Point ◽  
Recovery Boiler ◽  
Base Design

Capacities of the largest new recovery boilers are steadily rising, and there is every reason to expect this trend to continue. However, the furnace designs for these large boilers have not been optimized and, in general, are based on semiheuristic rules and experience with smaller boilers. We present a multiobjective optimization code suitable for diverse optimization tasks and use it to dimension a high-capacity recovery boiler furnace. The objective was to find the furnace dimensions (width, depth, and height) that optimize eight performance criteria while satisfying additional inequality constraints. The optimization procedure was carried out in a fully automatic manner by means of the code, which is based on a genetic algorithm optimization method and a radial basis function network surrogate model. The code was coupled with a recovery boiler furnace computational fluid dynamics model that was used to obtain performance information on the individual furnace designs considered. The optimization code found numerous furnace geometries that deliver better performance than the base design, which was taken as a starting point. We propose one of these as a better design for the high-capacity recovery boiler. In particular, the proposed design reduces the number of liquor particles landing on the walls by 37%, the average carbon monoxide (CO) content at nose level by 81%, and the regions of high CO content at nose level by 78% from the values obtained with the base design. We show that optimizing the furnace design can significantly improve recovery boiler performance.

Considerations for EHR section for the surgical specialist: Insights from a case study

2018 ◽  
pp. 1-2
Keyword(s):  
Electronic Health Records ◽  
Private Practice ◽  
Patient Relationship ◽  
Key Factors ◽  
Health Records ◽  
Start Up ◽  
Insurance Payment ◽  
System Selection ◽  
Office Procedures

Context: Surgical specialists have unique considerations when selecting and using electronic health records (EHRs). Aim: We sought to identify key factors and considerations during system selection and implementation for the surgical subspecialist. Case study: Insights from system selection and implementation for a start-up plastic surgery private practice were used to inform a broader set of principles for surgical subspecialists in private practice selecting and using EHRs. What can be learned: The nature of the provider-patient relationship is episodic and such as maintaining inventory, managing images, annotating images, documenting and billing in-office procedures, and integration of cash-based and insurance payment. Conclusion: Surgeons in private practice and as part of larger institutions can use insights from this case study to inform their own efforts in system selection and optimization for ongoing use.

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