Optimal Configuration and Field Experiments for the Photovoltaic System of a Solar-Powered Hose-Drawn Traveler

2019 ◽  
Vol 62 (6) ◽  
pp. 1789-1801
Author(s):  
Dan Li ◽  
Delan Zhu ◽  
Maosheng Ge ◽  
Shoujun Wu ◽  
Ruixin Wang ◽  
...  
Keyword(s):  
Power Supply ◽  
Optimization Model ◽  
Annual Cost ◽  
Field Experiments ◽  
Transmission Efficiency ◽  
Optimal Configuration ◽  
Total Power ◽  
Generation System ◽  
Photovoltaic Generation ◽  
Battery Capacity

Abstract. High energy consumption is one of the disadvantages of hose-drawn travelers due to the use of water turbines. This study proposes a photovoltaic-powered electric motor instead of a water turbine to achieve high transmission efficiency. A stand-alone photovoltaic generation system (PVGS) was designed for a hose-drawn traveler. To achieve cost savings, a sizing optimization model was built for the PVGS. In the optimization model, the minimum annual cost of the system, which includes the initial capital, replacement, installation, operation, and maintenance costs, is taken as the objective function. The constraints include the battery’s state of charge (SOC) and the power supply reliability, which is composed of the load loss of power supply probability (LPSP) and the energy excess percentage (EXC). The total power produced by the PV panels and the total battery capacity are the decision variables. The optimization model of the PVGS is solved through a particle swarm optimization (PSO) algorithm based on a penalty function. The model is then applied to calculate the optimal configuration of a JP75-300 hose-drawn traveler. Comparisons between the optimal configuration and other six configuration schemes were conducted to verify the optimal solution results. Furthermore, field experiments were performed to test the performance. Finally, the effects of meteorological conditions, driving velocity, and LPSP on the optimal configuration and the annual cost of the PVGS are discussed. The results show that the optimal configuration of this PVGS are 432 W total power from PV panels and 172 Ah total battery capacity, and the optimization model results are the optimal configuration based on comparisons. The optimal configuration met the power requirements of the hose-drawn traveler for four days of field experiments, indicating that the optimal configuration is feasible.HighlightsA photovoltaic-powered electric motor instead of a water turbine was used for high transmission efficiency.An optimization model was built to define the optimal configuration of the photovoltaic generation system (PVGS).The optimal configuration decreased the annual cost of the PVGS while ensuring power supply reliability.Meteorological conditions, driving velocity, and LPSP are key factors affecting the annual cost of the PVGS. Keywords: Driving power requirements, Field experiments, Hose-drawn traveler, Optimization model, Particle swarm optimization, Photovoltaic generation system.

scholarly journals Sizing Optimization and Experimental Verification of a Hybrid Generation Water Pumping System in a Greenhouse

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Dan Li ◽  
Delan Zhu ◽  
Ruixin Wang ◽  
Maosheng Ge ◽  
Shoujun Wu ◽  
...  
Keyword(s):  
Power Supply ◽  
Optimization Model ◽  
Field Experiments ◽  
Irrigation Schedule ◽  
Climatic Conditions ◽  
Generation System ◽  
Hybrid Generation ◽  
Wind Generator ◽  
Pumping System ◽  
Water Pumping

In remote agricultural areas, electrical energy is usually deficient for pumping water into greenhouses. Photovoltaic (PV) panels and wind generators are considered suitable options for power supply. The reliability of hybrid generation water pumping depends primarily on the number of system components, which should be adapted to the local climatic conditions and crop irrigation schedule. In this study, a universal size optimization model is established to optimize the configuration of a hybrid PV-wind-battery (PWB) generation system. The climatic conditions and crop irrigation schedule are parameterized in the model. Minimization of the annual cost of the hybrid PWB system is the objective function. The constraints include the battery state of charge (SOC) and the power supply reliability, which consists of the loss of power supply (δLPS) and the excess energy (δEX). The numbers of PV panels and batteries, as well as the rated power of the wind generator, are the decision variables. The optimization model of the PWB generation system is solved using a particle swarm optimization (PSO) algorithm based on penalty function. The model is then applied to determine the optimal configuration of a water pumping system for a greenhouse used to grow tomatoes. Measured climatic data are used in the optimization process, which is conducted in the month of maximum irrigation water requirement (August). The optimal results for this greenhouse are two PV panels and two batteries, and the rated power of the wind generator is 375 W. Furthermore, field experiments are performed to validate the optimization model. The field experiment results show that the total output power of the PV panels and wind generator during 15 d are 41.478 kW and 6.235 kW, respectively. The total load power of the pump is 36.965 kW. The field experiments demonstrate that the optimal results are able to meet the power requirements of the water pumping system and the sizing optimization model is appropriate.

Improving the efficiency of oilfield electric power distribution

2019 ◽  
pp. 79-87
Author(s):  
Yu. F. Yu. F. Romaniuk ◽  
О. V. Solomchak ◽  
М. V. Hlozhyk
Keyword(s):  
Power Distribution ◽  
Reactive Power ◽  
Power Transmission ◽  
Transmission Efficiency ◽  
Active Power ◽  
Oil Field ◽  
Total Power ◽  
Simultaneous Increase ◽  
Active Load ◽  
Step Down

The issues of increasing the efficiency of electricity transmission to consumers with different nature of their load are considered. The dependence of the efficiency of the electric network of the oil field, consisting of a power line and a step-down transformer, on the total load power at various ratios between the active and reactive components of the power is analyzed, and the conditions under which the maximum transmission efficiency can be ensured are determined. It is shown by examples that the power transmission efficiency depends not only on the active load, but also largely on its reactive load. In the presence of a constant reactive load and an increase in active load, the total power increases and the power transmission efficiency decreases. In the low-load mode, the schedule for changing the power transmission efficiency approaches a parabolic form, since the influence of the active load on the amount of active power loss decreases, and their value will mainly depend on reactive load, which remains unchanged. The efficiency reaches its maximum value provided that the active and reactive components of the power are equal. In the case of a different ratio between them, the efficiency decreases. With a simultaneous increase in active and reactive loads and a constant value of the power factor, the power transmission efficiency is significantly reduced due to an increase in losses. With a constant active load and an increase in reactive load, efficiency of power transmission decreases, since with an increase in reactive load, losses of active power increase, while the active power remains unchanged. The second condition, under which the line efficiency will be maximum, is full compensation of reactive power.  Therefore, in order to increase the efficiency of power transmission, it is necessary to compensate for the reactive load, which can reduce the loss of electricity and the cost of its payment and improve the quality of electricity. Other methods are also proposed to increase the efficiency of power transmission by regulating the voltage level in the power center, reducing the equivalent resistance of the line wires, optimizing the loading of the transformers of the step-down substations and ensuring the economic modes of their operation.

scholarly journals Optimal Synergy between Photovoltaic Panels and Hydrogen Fuel Cells for Green Power Supply of a Green Building—A Case Study

2021 ◽  
Vol 13 (11) ◽  
pp. 6304
Author(s):  
Raluca-Andreea Felseghi ◽  
Ioan Așchilean ◽  
Nicoleta Cobîrzan ◽  
Andrei Mircea Bolboacă ◽  
Maria Simona Raboaca
Keyword(s):  
Carbon Dioxide ◽  
Fuel Cells ◽  
Fuel Cell ◽  
Power Supply ◽  
Carbon Dioxide Emissions ◽  
Green Building ◽  
Energy System ◽  
Generation System ◽  
Photovoltaic Panels

Alternative energy resources have a significant function in the performance and decarbonization of power engendering schemes in the building application domain. Additionally, “green buildings” play a special role in reducing energy consumption and minimizing CO2 emissions in the building sector. This research article analyzes the performance of alternative primary energy sources (sun and hydrogen) integrated into a hybrid photovoltaic panel/fuel cell system, and their optimal synergy to provide green energy for a green building. The study addresses the future hydrogen-based economy, which involves the supply of hydrogen as the fuel needed to provide fuel cell energy through a power distribution infrastructure. The objective of this research is to use fuel cells in this field and to investigate their use as a green building energy supply through a hybrid electricity generation system, which also uses photovoltaic panels to convert solar energy. The fuel cell hydrogen is supplied through a distribution network in which hydrogen production is outsourced and independent of the power generation system. The case study creates virtual operating conditions for this type of hybrid energy system and simulates its operation over a one-year period. The goal is to demonstrate the role and utility of fuel cells in virtual conditions by analyzing energy and economic performance indicators, as well as carbon dioxide emissions. The case study analyzes the optimal synergy between photovoltaic panels and fuel cells for the power supply of a green building. In the simulation, an optimally configured hybrid system supplies 100% of the energy to the green building while generating carbon dioxide emissions equal to 11.72% of the average value calculated for a conventional energy system providing similar energy to a standard residential building. Photovoltaic panels account for 32% of the required annual electricity production, and the fuel cells generate 68% of the total annual energy output of the system.

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