Reducing the electricity cost of a Three-Pipe Water Pumping System – a case study using software

2005 ◽  
Vol 16 (4) ◽  
pp. 41-47 ◽  
Author(s):  
W Rautenbach ◽  
D L W Krueger ◽  
E H Mathews

Efficient control is often the most cost-effective option to improve on the running cost of a ThreePipe Water Pumping System. However, the effect of changing the control strategy (i.e. on energy consumption) is usually difficult to predict. A new simulation tool, QUICKcontrol, was used to investigate the energy cost savings potential in a Three-Pipe Water Pumping System. The influence of pump scheduling, dam level set points, control parameters and different combinations thereof were investigated. The simulation models were firstly verified with measurements obtained from the existing system to confirm their accuracy for realistic control retrofit simulations. With the aid of the integrated simulation tool, it was possible to predict savings of R195 000 per year with an average 3.8 MW of load shifted out of peak times. These control strategies can be implemented in the pumping system with a direct payback period of less than 6 months.

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 75
Author(s):  
Thommas Kevin Sales Flores ◽  
Juan Moises Mauricio Villanueva ◽  
Heber P. Gomes ◽  
Sebastian Y. C. Catunda

Indirect measurement can be used as an alternative to obtain a desired quantity, whose physical positioning or use of a direct sensor in the plant is expensive or not possible. This procedure can been improved by means of feedback control strategies of a secondary variable, which can be measured and controlled. Its main advantage is a new form of dynamic response, with improvements in the response time of the measurement of the quantity of interest. In water pumping networks, this methodology can be employed for measuring the flow indirectly, which can be advantageous due to the high price of flow sensors and the operational complexity to install them in pipelines. In this work, we present the use of artificial intelligence techniques in the implementation of the feedback system for indirect flow measurement. Among the contributions of this new technique is the design of the pressure controller using the Fuzzy logic theory, which rules out the need for knowing the plant model, as well as the use of an artificial neural network for the construction of nonlinear models with the purpose of indirectly estimating the flow. The validation of the proposed approach was carried out through experimental tests in a water pumping system, fully automated and installed at the Laboratory of Hydraulic and Energy Efficiency in Sanitation at the Federal University of Paraiba (LENHS/UFPB). The results were compared with an electromagnetic flow sensor present in the system, obtaining a maximum relative error of 10%.


Author(s):  
Flavio Palmiro ◽  
Joao Onofre Pereira Pinto ◽  
Lucio Henrique Pereira ◽  
Ruben Barros Godoy

Author(s):  
Payal Rathod ◽  
R. M. Bhombe ◽  
Yogesh Likhar

This project present BLDC motor driven solar water pumping system which cost effective & economical for propose drive, A zeta convertor is employed in order to extract the maximum power from the SPV array. The proposed MPPT algorithm reduces the starting current of BLDC motor in order to achieve soft starting of BLDC motor. The switching of invertor is achieve by commutation of BLDC motor, thereby eliminating switching losses in invertor .The proposed system is design and modeled such that the performance isn’t affect under dynamic condition. The performance under various operating condition is analyzed & suitability of proposed system is demonstrated using MATLAB/Simulink software.


2021 ◽  
Vol 3 (1) ◽  
pp. 37-46
Author(s):  
Mahmood Hussein Salman ◽  
Adel A. Obed ◽  
Ahmed J. Abid

The rural-isolated agricultural region in Iraq and some developing countries lack access to electricity, and thus the primarily alternative is to use diesel water pumping systems to irrigate their crops. However, due to a rise in the oil's price on the international market, toxic pollution from burning oil, high maintenance costs, and short lifespans have been challenged to create more viable alternatives. Renewable energy can limit the use of fossil fuels, particularly by using the solar-powered water pumping system. This article aimed at finding an optimal design for a direct-coupled photovoltaic water pumping system in Iraq. The article presents the significant design aspect for an optimal system, such as the groundwater aquifer depth, installation aspect, cost, and irrigation efficiency. The design offers a combination of sprinkler and environmentally sustainable and cost-effective photovoltaic technology to reduce electricity and water use. A deep well to the storage system is adopted with, 40m maximum well depth, 90m3 reservoir, 1200W submersible pump, and 1800 Wp, which can supply water to 12 greenhouses for three days. The yearly results show pumping efficiency is increased up to 42.6%, used water need is achieved at 10950 m3, and unused energy is reduced by 48.8%.


2013 ◽  
Vol 327 ◽  
pp. 294-300
Author(s):  
Shi Feng Huang ◽  
Feng Wang ◽  
Hui Xu ◽  
Xiao Xian Wei

According to the raw water pumping system with constant speed pump and variable speed pumps based on hydromechanics in waterworks, the hydraulic simulation models were built including pump station, water tanks, suction well etc. Based on the analysis of objective function and constraints of water treatment structures and consideration of pump operation and initial water level of clean-water-tank, the compact optimal operation mathematical models were built. Finally, correctness and advantage of the mathematical models were proved by the optimal simulation of Jinshan water supply project, which provided the valuable reference for the energy-saving operation of raw water pumping system.


Author(s):  
Chandrashekhar N. Bhende ◽  
Siva G. Malla

Abstract Photovoltaic (PV) based water pumping systems are used for irrigation and drinking water. PV based pumping systems without battery can provide a cost-effective solution. In this paper an integrated controller is proposed for the operation of a stand-alone PV based water pumping system without battery storage. To incorporate PV based water pumping system, two schematics and corresponding controllers (i.e, power and voltage based) are proposed. In voltage based control scheme, inverter not only controls the voltage but also acts as maximum power point tracker for PV. Hence no extra dc-dc converter is required to extract maximum power from solar. The proposed integrated controller requires only measurements of dc-link voltage and load currents, no need to measure the PV and load powers. Under light load condition, dc-link voltage will go up, hence, in order to protect dc bus resistive type of dump load is connected so that it will consume the surplus power from PV. Effective control coordination is developed to switch ON/OFF the induction motors so that negligible power wasted in dump load under scenario of PV power is more than load. Results are presented based on different cases of irrigation pumping application and availability of solar irradiance. Extensive simulation is carried out using Matlab/Simulink and through simulation results it is shows that the performance of proposed controller is quite satisfactory.


Author(s):  
Payal Rathod ◽  
R. M. Bhombe ◽  
Yogesh Likhar

This project present BLDC motor driven solar water pumping system which cost effective & economical for propose drive, A zeta convertor is employed in order to extract the maximum power from the SPV array. The proposed MPPT algorithm reduces the starting current of BLDC motor in order to achieve soft starting of BLDC motor. The switching of invertor is achieve by commutation of BLDC motor, thereby eliminating switching losses in invertor .The proposed system is design and modeled such that the performance isn’t affect under dynamic condition. The performance under various operating condition is analyzed & suitability of proposed system is demonstrated using MATLAB/Simulink software.


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