Research of Energy-saving Control of Oil-well Power Heater Based on RNN Neural Network

For the beam pumping unit,the power consumption of oil-well power heater accounts for a large part of the pumping unit.Decreasing the energy consumption of the power heater is an important approach to reduce that of the pumping unit.To decrease the energy consumption of oil-well power heater,the proper control method is needed.Based on summarizing the existing control method of power heater,a control method of oil-well power heater of beam pumping unit based on RNN neural network is proposed.The method is forecasting the polished rod load of the beam pumping unit through RNN neural network and using the polished rod load for real-time closed-loop control of the power heater,which adjusts average output power,so as to decrease the power consumption.The experimental data show that the control method is entirely feasible.It not only ensures the oil production,but also improves the energy-saving effect of the pumping unit.

Energy-Saving and Control of General Indoor Lighting Elements Fed from a Micro-Controlled Hybrid Power Generation System

In this study, an off grid wind-solar hybrid power generation system was established at Afyon Kocatepe University to meet the energy need of lighting system of three different laboratories. It is planned to efficiently use the energy obtained from the designed hybrid power generation system. For this purpose, PIC 16F877 was used in controlling of lighting load of laboratories. The off-grid wind-solar hybrid power generation system consists of 570 W 24 V mono crystal solar panels, 600 W wind power generation system and accumulator groups. The load control circuit made with PIC 16F877 is designed in a manner that will control the lighting armature groups individually activate and deactivate the armature groups according to intensity of illumination in environment. Besides, separately from generation and storing units constituting the hybrid power generation system, data in kWh are recorded by means of software in 10 seconds intervals. With the obtained power generation and storing data, analyzing of power consumption data when the load control system in active or passive position is made. According to analysis results, with controlling of lighting load and using of energy obtained from off grid wind-solar hybrid power generation system, 20.6% energy saving has been ensured.

Energy-Saving Design for Hydraulic Tube Bender

Generally speaking, hydraulic control systems can be divided into two different driving concepts. The first one is the well-known hydraulic valve-controlled system and the second one is the pump-controlled system. The former possesses the feature of fast dynamic response. However, the poor energy-saving performance is its major fault. On the contrary, the hydraulic pump-controlled system has the significant advantage of energy-saving which meets the current demand in modem machine design. In this paper, the simulation analysis using MatLab/SimuLink and DSHplus software for a newly developed energy-saving hydraulic tube bender is conducted. Instead of the conventional fixed displacement hydraulic pump, the new hydraulic tube bender utilizes an internal gear pump with AC servomotor as its driving power source. In the new energy-saving hydraulic circuit, the use of conventional pressure relief valve and unloading valve are no longer necessary since the demanded flow-rate and pressure output can be precisely obtained by continuously changing the speed of the AC servomotor. In addition, two closed-loop control schemes using fuzzy sliding-mode controller are adopted and compared. To compare the energy-saving control systems, such as load-sensing control system, constant supply pressure control scheme and conventional hydraulic control scheme. Furthermore, the simulation results also show that the newly developed hydraulic tube bender can save up to 43% of energy consumption in a working cycle as compared to the conventional hydraulic tube bender.

Study on a Comprehensive Energy-Saving Sail by CFD Method

A comprehensive energy-saving sail (CES) has been proposed in order to promote energy saving and emission reduction from shipping. Wind energy is harvested for propulsion and electrical generator at the same time by a unique structure of CES. A CFD (Computational Fluid Dynamics) code is verified by a case of arc wind sail, and it is used to simulate the pressure and velocity around the CES. The results show that the outlet velocity of air tunnel Vo and wind velocity Vi serve as an equation Vo ≈ 1.31Vi, which means the CES can effectively improve the conversion efficiency. In addition, it is found that Vo increases with the tunnel diameter to some extend over which it will keep almost constant.

Research and application of on-shore power supply system for vessel in port of Shanghai

This paper prescribes a movable voltage-variable and frequency-variable on-shore power supply system which successfully provides on-shore power for container vessel on port. The high voltage power supply (10 kV/50 Hz/2 000 kVA) for the quay cranes is used for the power input of the system, after frequency and voltage converting (450 V/60 Hz), then putting out and supplying to vessel. This system is flexible with positive effect on energy-saving and emission reduction; besides, there's no requirement of civil reconstruction to container terminals, which is suitable for the busy ports in China.

Research and Implementation of the Power Equipment Inverter Switching Algorithm

Frequency control technology can achieve the purpose of energy saving of power equipment, but also bring problems of harmonic loss formula. The relationship between the loss rate and load rate is constituted by formula derivation, and calculate the load rate when the loss rate is the minimum and the total power of power-consuming devices. Then design the digital PID controller and research the power-saving optimization feedback algorithms and design the software process. Finally, carry out the inverter switching algorithm based on ABB ACS510 low voltage inverter.

Tempospacial energy-saving effect-based diagnosis in large coal-fired power units:Energy-saving benchmark state

The energy-saving analytics of coal-fired power units in China is confronting new challenges especially with even more complicated system structure, higher working medium parameters, time-dependent varying operation conditions and boundaries such as load rate, coal quality, ambient temperature and humidity. Compared with the traditional optimization of specific operating parameters, the idea of the energy-consumption benchmark state was proposed. The equivalent specific fuel consumption(ESFC) analytics was introduced to determine the energy-consumption benchmark state, with the minimum ESFC under varying operation boundaries. Models for the energy-consumption benchmark state were established, and the endogenous additional specific consumption(ASFC) and exogenous ASFC were calculated. By comparing the benchmark state with the actual state, the energy-saving tempospacial effect can be quantified. As a case study, the energy consumption model of a 1000 MW ultra supercritical power unit was built. The results show that system energy consumption can be mainly reduced by improving the performance of turbine subsystem. This nearly doubles the resultant by improving the boiler system. The energy saving effect of each component increases with the decrease of load and has a greater influence under a lower load rate. The heat and mass transfer process takes priority in energy saving diagnosis of related components and processes. This makes great reference for the design and operation optimization of coal-fired power units.

节能发电调度下基于虚拟机组的日前负荷调度模型

为促进节能减排,扩大系统对可再生能源的接纳,可通过负荷调度将负荷侧可调节资源常态化地纳入到电力系统调度运行中。文章研究将需求侧资源进行虚拟机组建模的方法,分析虚拟机组的成本特性及负荷调度对参与方的经济利益影响,同时分析了负荷的物理特性以及作为虚拟机组需要遵循的约束。在此基础上,建立节能发电调度模式下的日前负荷调度模型,通过日前小时电价调用小时响应负荷和日内可转移负荷,以更少的发电成本实现电力行业更高层次的节能减排,最后通过对负荷调度结果的还原将虚拟机组出力转换为实际负荷值。算例表明所建立的日前负荷调度模型可方便地进行负荷调度,有效降低煤耗和污染物排放,并达到较好的削峰填谷效果。

基于时间尺度的节能发电优化调度协调模型及算法

以"多时间级优化协调、逐时间级细化"为原则提出了基于时间尺度的节能发电调度协调模型及算法。该模型不仅考虑了当前时间级的电力系统安全稳定运行、连续可靠供电约束和节能减排优化目标,还考虑了当前时间级与上、下时间级之间节能发电调度计划的协调,以确保调度的流畅性,最大限度地实现电力节能减排的目标。同时,本文为开发节能发电调度决策技术支持系统提供了理论支撑。

Lamp Distribution Design for Adjustment of Florescence in Floral Production

[Objective] The aim was to introduce characters of light sources and select the optimal lamp scheme for floral production in greenhouses. [Method] With chrysanthemum cuttings as materials, HPSL, energy-saving fluorescent lamp, and LED agricultural lamp were made use of to carry out field tests in order to compare practical effects according to light characters of different lamps and plant growth de-mands. [Result] The results show that LED lamp performed the best of the three in practical use. LED square lamp designed in bat-wing shape would be the most ben-eficial for lamp distribution in a greenhouse. [Conclusion] LED agricultural lamp is the most popular currently, for it is energy saving and easy for operation.

Energy saving with node sleep and power control mechanisms for wireless sensor networks

Energy efficiency sleep scheduling in wireless sensor networks is one of the most crucial technologies. In this paper, we propose a simple and feasible synchronous node sleeping and waking mechanisms for small scale wireless sensor networks. Sensor nodes are divided into forwarding nodes and listening nodes. Beacon frame containing sleep command from the coordinator can be forwarded to listening nodes via forwarding nodes. All the nodes in the network can enter sleep at about the same time. Through such network synchronization mechanisms, we can realize synchronous sleep and wake of the entire network. Furthermore, a new power control scheme based on routing protocol （PCBRP） in the medium access control （MAC） layer is proposed. It operates with the help of routing protocol and calculates optimal transmission power according to the distance between neighbor nodes. A mapping table including optimal transmission power and node address is established during the route building procedure. The transmission power can be obtained by searching the table with the address of next-hop neighbor in subsequent data transmissions. The proposed mechanisms are implemented in sensor nodes and are evaluated in a test-bed. The analysis and evaluation based on the experimental results confirm that the proposed energy-saving mechanisms are feasible and effective.

Energy reduction of a submerged membrane bioreactor using a polytetrafluoroethylene （PTFE） hollow-fiber membrane

In this study, we modified a polytetrafluoroethylene （PTFE） hollow-fiber membrane element used for submerged membrane bioreactors （MBRs） to reduce the energy consumption during MBR processes. The high mechanical strength of the PTFE membrane made it possible to increase the effective length of the membrane fiber from 2 to 3 m. In addition, the packing density was increased by 20% by optimizing the membrane element configuration. These modifications improve the efficiency of membrane cleaning associated with aeration. The target of specific energy consumption was less than 0.4 kWh·m^-3 in this study. The continuous operation of a pilot MBR treating real municipal wastewater revealed that the MBR utilizing the modified membrane element can be stably operated under a specific air demand per membrane surface area （SADm） of 0.13 m^3·m^-2. hr I when the daily- averaged membrane fluxes for the constant flow rate and flow rate fluctuating modes of operation were set to 0,6 and 0.5m^3·m^-2·d^-1 respectively. The specific energy consumption under these operating conditions was estimated to be less than 0.37 kWh.m^-3. These results strongly suggest that operating an MBR equipped with the modified membrane element with a specific energy consumption of less than 0.4 kWh·m^-3 is highly possible.