Energy Procedia最新文献

Modern power conversion devices have realized several significant attributes such as high efficiency and reliability for high power (HP) applications. Traditionally, boost converters (BC) are required to operate as an intermediate interface to drive high power loads through available low voltage (LV) sources such as a fuel cell (FC), photovoltaic or battery based energy system. This paper addresses the complementary operation of parallel connected boost converters (PCBC) for high power applications considering wide spectrum of low voltage source conditions. The mutual sharing of load current between parallel connected converters is guaranteed by the appropriate placement of LC based passive equalization filter (LCEF) therefore offloading stress from individual converter and increasing efficiency and reliability drastically. To validate the performance of proposed topology in real-time scenarios, an experimental setup consisting of programmable source, electronic load, boost converters and filter circuit has been synthesized and studied in various operating conditions such as FC energy system based HP and LV application. The experimental results clarifies and validates the necessity of parallel connected converters based power splitting strategy and LC equalization filter topology for high power loads especially with low voltage source conditions.

In this paper, a new design to enhance the thermal performance of residential water heaters is suggested and investigated. The new design consists of using a mixer inside the water tank driven by electrical power. To proceed, experimental measurements are made by using thermocouples implemented in a water heater to study the thermal behavior. It is proved that the mixer could reduce the heating time about 20 min to heat water from 25 °C to 70 °C. In addition, the temperature homogeneity is also studied and it was shown that the temperature without the mixer could not be homogeneous within the water volume.

In the study, an experimental investigation to the performance of the solar cells coupled with heat sink is presented. Indoor experimental setup was designed and assembled to investigate the impact of using heat sink cooling system on the performance of solar cells. Halogen lamps used to simulate the solar radiation and the study is carried out at different solar radiation values. Moreover, the study is carried out at natural and forced air to cool the heat sink. The results show that using heat sink cooling system enhances the performance of the solar cell. Temperature of solar cell decreased by about 5.4 % and 11 % by using heat sink cooling system at natural and forced air over the heat sink, respectively. Moreover, the efficiency and power of the solar cell system increase by about 16 % when heat sink cooling system is used.

It is vital in the prevention of the ferroresonance to consider this phenomenon from new side. The design of the equipment needs deep studies to avoid such disturbance. This paper presents a new way in ferroresonance studies, by the use of the Root Cause Analysis (RCA) in a systematic step by step process to discover the true cause of this problem. A fault tree is built to identify all possible causes leading to the unwanted top event, that is the False Trip Analysis (FTA). Among large statistics of disturbances, the probability of occurrence of ferroresonance is stated, and using the most studied causes of this event, the tree of analysis is built till reaching the main disturbance. In each step, well-known possible causes are shown. Then, a barrier or possible solution corresponding to the cause is presented. The new probability of occurrence is then calculated. The obtained result is compared to the initial probability and a set of protection system is proposed. The advantage of this study is the possibility to reduce the occurrence of the ferroresonance by gathering the maximum detailed amount of possible causes and by choosing the best barrier corresponding to the cause.

This paper proposes the Direct Torque Control (DTC) of a Wind Energy Conversion System (WECS) based on a Doubly Fed Induction Generator (DFIG) with power factor control strategy. The proposed technique aims at controlling the generator electromagnetic torque and rotor flux while controlling the power factor at the stator terminals. The proposed control is achieved through generating the referential electromagnetic torque from the Maximum Power Point Tracking (MPPT) control so that the maximum power is extracted for each different wind speed, and the referential rotor flux from the reactive power reference.

Fiber reinforced composites pipes provide excellent strength and stiffness characteristics and high corrosion and erosion resistance. In addition, the possibility to tailor the strength and stiffness characteristics by optimizing the winding angle gives the designer extra flexibility to design different pipe based on the different working conditions. These properties make them attractive for several applications including lightweight and efficient equipment for energy production applications.

In the current work, glass fiber reinforced plastic (GFRP) pipes were designed with four different winding angles. The pipes were tested under internal pressure and low velocity impact. Four different designs were manufactured using filament winding with winding angles of [±45/±45/±45], [±55/±55/±55], [±63/±63/±63], and [±63/±45/±55]. Each pipe has internal diameter of 110 mm, wall-thickness of 3.8 mm, and length of 450 mm. The pipes were exposed to internal pressure to determine their capacities and low velocity impact to assess their impact resistance. Under internal pressure, the maximum capacity was 56 bars and recorded for the pipes with [±55]₃ winding angles. All specimens failed in the same way of initial leakage, governed by matrix cracking, which causes a drop in the internal pressure. For the impact resistance, the combined orientations ([±63/±45/±55]) showed higher assessment, compared to the other pipes. This higher damage resistance can be justified by the mismatch angle effect of the adjacent plies.

This paper aims to investigate the possibility of integration of Electric Vehicles EVs supply’s with electricity and/or hydrogen in the road transport sector and estimate the energy supply derived from solar irradiation by using solar roads technology. The case study is road Est-Oust (road E-O) of Algeria. A Geographic Information System and spatial analysis tools are combined with spatial data and technical models to carry out these calculations. The results of this study demonstrate that solar road panels, which are integrated into the road E-O, produce over to 804 GWh/year which equivalents to 13778 tons of hydrogen per year.by using FCEVs will saving over then 41.10³ liter of fossil fuels (regular gasoline); and reduce GHG emission (CO₂) in the transportation sector by 216 tons per year.

Since the ambient temperature and solar irradiance are not constant, and the P-V characteristic curve of a photovoltaic (PV) module is nonlinear, it is hard for a photovoltaic system to operate at the maximum power point (MPP). In fact, using a maximum power point tracking algorithm (MPPT) to reach the MPP is significant when the climatic conditions change during the day. This paper presents a novel approach for grid-connected PV systems based on a Practical Swarm Optimization (PSO) metaheuristic algorithm to ensure the MPPT functionality as well as generating the reference power for the DC-Bus voltage regulation. The proposed method is compared with the conventional MPPT method Perturb and Observe (P&O) under different irradiance variations. The three-phase, two-level voltage source inverter (VSI) is controlled by a finite set model predictive controller (FS-MPC). The simulation results show that the proposed system is more efficient than the conventional method and has good dynamic performances.

A new method proposed in this work to optimize the power generated by a hybrid renewable energy system which consists of Wind turbine/Tidal turbine/PV module/Batteries. This system has been designed to satisfy a stand-alone area in Brittany, France, as an example of load demand. The Particle Swarm Optimization technique (PSO) was proposed and developed to minimize the cost of energy. Where the ability of this algorithm was developed to reach the best results in double speeds, at a time rate better than 80% of conventional technology time and less than 20 repetitions only. The problem is defined as an economic problem, taking into consideration the optimal sizing of the system, high reliability, planning expansion for future development, the state of charge of the battery. The total net present cost (TNPSC) is introduced as the objective function, taking into consideration the minimum fitness values in the particle swarm process. The (PSO) algorithm developed has several characteristics and advantages over other traditional techniques and algorithms. In fact, it allows to achieve the optimal solution and to reduce the overall cost with high speed and accuracy. The PSO algorithm program was developed using MATLAB software.

This paper proposes technical guidelines, modelling, and control of an ultra-high-speed-switched reluctance motor- generator for automotive turbo-charged assistance and energy recovery. Creation of an ideal model using electromagnetic finite element analysis and conducting a low cost/ low scale experiment is proposed. The first objective focuses on the transient simulation process. The second objective focuses on an investigation of the proposed control criteria. The modelling and analysis of a “Switched Reluctance Motor” (SRM) is an initial task for the selection of the coupled mover. Two controllers are selected for the experiment which consists of a generally low-cost solution and an optimized development board for prototyping optimization. The low-cost control solution is implemented with an Arduino Uno and an assortment of relays configured into an asymmetrical half bridge. The second controller is the “Digilent Zed Board Zynq-7000 ARM/FPGA SoC Development Board” (Zed board). ANSYS 2D, 3D modelling, data simulation for the stator and rotor are implemented. Current, voltage, and flux for all phases waveforms are included. Rotor dynamic simulation, machine transient simulations, and some other characteristics are depicted through 3D figures.