The early detection of undesired conditions during the operation of centrifugal pumps has become increasingly important in order to reduce outage time and repair costs. Faults in pumps can be caused by changes in flow conditions, such as cavitation, which can lead to impeller degradation and subsequent breakdown of pump material. In this study, the diagnosis of a submersible centrifugal pump was performed using current and power signature analyses of its motor drive. The experiments demonstrated that it is possible to detect not only the presence of cavitation but also when it first starts. The correlation between cavitation phenomena and motor power was studied by measuring experimental currents and voltages at different operating points of the pump. The detection of cavitation using motor drive analysis can help prevent consequential damages and boost the reliability and safety of centrifugal pumps.

The growing need for energy efficiency and cost reduction in artificial lift systems due to energy crises has made it crucial to develop methods and tools that enable rapid, early, and efficient power consumption identification. By using statistical tools and innovative calculation methods, energy deviations zones of analysis can be generated based on ESP pump models and types of producing wells. These deviations can be identified and prioritized, and the required strategies for adjustment can be addressed based on reference efficiency frameworks. Online monitoring can be done daily, weekly or monthly, making it possible to detect and react early, improve system run life, and reduce downtime and repair costs in ESP systems. The methodology allows for an agile and dynamic way to identify and prioritize energy deviations, direct actions towards an economic, ecological and sustainable strategy, and sum up the economic impact in each operating point. The monitoring process integrates production, electrical, economic and equipment positioning variables in fields with more than 1,200 ESP running.

Farmers in dry seasons often suffer from a lack of water supply for irrigation, with current solutions being costly, such as fuel or PLN electricity-powered pumps. To address this, a study has found that using DC submersible pumps, powered by solar panels, can be a cost-effective solution. The study aimed to determine the duration of operation of the DC submersible pump using different batteries and solar panels and the productivity of the pump in terms of resulting discharge for various storage height conditions. The study found that the DC submersible pump could operate for 240 minutes with a 20 Ah battery and 60 Wp solar panels and that increasing storage height reduced the resulting discharge. The maximum height limit for submersible pump push was found to be 3.7 meters using a 3 per 4 inch hose. These results can serve as a reference point for farmers to determine water storage height and improve their water access during the dry season.

Efficient power supplies based on renewable energy are becoming increasingly popular, particularly for harsh environments such as the northern territories. To save costs and design time, simulators are used during both the designing and testing stages of power supplies that operate in these conditions. Solar panel simulators are particularly important, as they are coupled with power converters to stabilize output parameters and ensure proper power quality. The simulators must provide accurate I-V curves in varying ambient conditions such as temperature and solar irradiation. A solar panel simulator topology based on classical control theory involving a pulse buck converter was developed and tested using MATLAB/Simulink. The simulator provides full-scale simulation of solar panels in various operating modes, with an open circuit voltage of up to 60 V and a short circuit current of up to 60 A. The simulator may serve as a basis for developing energy-efficient power supplies for autonomous objects based on renewables, including those operating in northern territories. The research also explores statistical processing of experimental data and cognitive visualization of obtained curves through the use of cognitive graphic tools.

A new study has found that multi-turbine configurations on a floating platform can reduce the cost of floating wind power. The study, which was conducted using the NREL 5MW OC4 semi-submersible floating wind turbine, simulated three different configurations and found that having two turbines side by side on the same floating platform increased the amount of generated power. This is because the combined blockage effect on the incoming flow leads to a greater extraction of power compared to isolated rotors. The study used CENER’s in-house MUST (Multi wind tUrbine Simulation Tool), coupled to the aerodynamic module AeroVIEW (Aerodynamic Vortex fIlamEnt Wake). The configurations analyzed included a single floating wind turbine, a forced platform movement on a bi-wind turbine, and a bi-wind turbine freely floating platform. With the cost of floating wind energy high, these types of findings are crucial in helping to reduce the cost and make it a more attractive option for investors.

Oil companies in Russia are facing the challenge of depleted oil wells, resulting in increased production costs. This has led to a need for tools to improve the efficiency of downhole equipment, specifically electric centrifugal pumps. To address this, an automated software complex has been developed to select the characteristics of such pumps based on artificial neural networks. The software is written in Python using Tensorflow machine learning technologies, and training data from production wells in the Vankorskoye field have been used to develop the neural network model. This includes data on various factors that impact pump selection, such as production well flow rate, watering, depth, pressure, viscosity and more. A calculation algorithm has been created, and optimization by the selection of optimal pump characteristics has been shown to lead to power savings. Overall, the software complex offers a sophisticated and streamlined solution to the challenges faced by oil companies in Russia, providing them with the tools they need to streamline their operations and remain competitive.

Electrical submersible pumps are key for oil production in Russia, with a variable frequency drive the most effective way to regulate their performance. An electric drive with a low-voltage frequency converter is the system of choice in many oilfields due to its low cost. Multi-level frequency converters offer the advantage of high time between failures which is achieved through the redundancy of power cells. The text includes calculations on the reliability of submersible pumps regulated electric drives.

A Tri-Floater has been designed to support a 6 MW vertical axis wind turbine (VAWT) with active blade pitch control, and coupled simulations including hydrodynamics, mooring system, aerodynamics and control system have been performed to analyze the dynamics of floater and wind turbine. It is shown that the active blade pitch control system can minimize the governing loads on the floater, and a 20% lighter floater can be used as support structure for the VAWT with active blade pitch control, compared to a horizontal axis wind turbine (HAWT) with the same rated power. This means that the semi-submersible Tri-Floater offers significant advantages over traditional floating platforms for wind turbines, and presents promising opportunities for the offshore wind industry.

The use of floating offshore wind turbines is a potential future solution for generating more renewable electricity, but the floating platforms can increase the load on the turbines and lead to tower oscillations. To avoid negative damping and improve tower fatigue life, researchers explored the impact of a turbine actively pitching-to-stall with blades that feature back twist towards feather as they approach the tip. Using the FAST v8 simulation tool, the back-twisted pitch-to-stall blade was coupled to a floating semisubmersible platform. The results show that the proposed control strategy can effectively reduce detrimental oscillations of power output and enhance the tower axial fatigue life by up to 20%. It was found that the blade's flapwise bending moment correlated with the tower base's fore-aft moment. The back-twisted pitch-to-stall blade approach also avoids negative damping, which could benefit industries looking to expand their renewable portfolio. Overall, the study highlights the potential of this approach to improve offshore wind turbine performance and extend their operating life.

A numerical modeling tool has been presented to accurately predict the system dynamic responses of floating offshore wind turbines (FOWTs) under aero-hydro-coupled conditions. The tool utilized commercial computational fluid dynamics software, STAR-CCM+, to perform a fully coupled dynamic analysis of the DeepCwind semi-submersible floating platform with the National Renewable Engineering Lab (NREL) 5-MW baseline wind turbine model. The simulation involved a full-configuration FOWT model with the simultaneous motion of the rotating blade due to 6-DOF platform dynamics. A relatively heavy load on the hub and blade was observed for the FOWT compared with the onshore wind turbine, leading to a 7.8% increase in the thrust curve, while a 10% decrease in the power curve was observed for the floating-type turbines. The study also investigated the tower-blade interference effects, blade-tip vortices, turbulent wakes, and shedding vortices in the fluid domain with relatively complex unsteady flow conditions. This modeling tool provides improved accuracy in predicting the behavior of FOWTs and can aid in the development of more efficient and reliable offshore wind energy systems.