scholarly journals An Experimental Investigation on Energy Performance of The Hybrid Photovoltaic Thermal System

2020 ◽  
Vol 197 ◽  
pp. 08003
Author(s):  
Shahrokh Barati ◽  
Livio de Santoli ◽  
Gianluigi Lo Basso ◽  
Antonio Galizia ◽  
Giulia Spiridigliozzi
Keyword(s):  
Hybrid System ◽  
Thermal Energy ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Energy System ◽  
Energy Performance ◽  
Integrated System ◽  
Hybrid Energy ◽  
Photovoltaic Thermal System ◽  
T System

Climate change is a worldwide recognized problem, and its mitigation identified as one of the most significant challenges. The way to achieve this purpose is to reduce greenhouse gases (GHG) emissions through the energy system using renewables. The change from an energy system based on fossil fuels to renewable sources-based one is necessary on which the world community agrees. A photovoltaic thermal (PV/T) panel is a system that can produce both electricity and thermal energy simultaneously in one integrated system. This paper deals with hybrid energy systems, specifically a hybrid system to produce power and thermal energy from solar sources consisting of photovoltaic thermal modules. The hybrid system consists of 7 hybrid photovoltaic panels installed on the roof of the laboratory. This paper presents a study for experimental data obtained from a measurement campaign of the thermal and electrical behavior of a PV/T system in single and series models.

scholarly journals Feasibility Study of Hybrid Wind-Diesel-Battery Power Generating Systems: Parametric and Sensitivity Analysis

2018 ◽  
Vol 171 ◽  
pp. 01004 ◽  
Author(s):  
Hussein Ibrahim ◽  
Mazen Ghandour ◽  
Georges El-Jamal
Keyword(s):  
Hybrid System ◽  
Fossil Fuels ◽  
Assessment Tool ◽  
Energy Generation ◽  
Energy System ◽  
Generation System ◽  
Hybrid Energy ◽  
Grid Connection ◽  
Hourly Data ◽  
Renewable Energy Generation

The renewables energies are being used to reduce the environmental pollution, combat the climate change and burning of fossil fuels. For remote or decentralized areas, where grid connection is very complex, renewable energy generation system can be a reliable and optimized source of energy. Moreover, wind-diesel-solar hybrid system technology promises lots of opportunities in remote areas which are far from the main grid and are supplied by diesel gensets. This paper is based on the analysis of a hybrid energy system for optimization. The analysis of the hybrid system is realized in the HOMER software package. The HOMER software was utilized as the assessment tool with modeling performed with hourly data of wind speed, solar radiation and load. In this study, the remote village of Tuktoyaktuk situated in Northwest Territories of Canada has been taken for the discussion of the optimization analysis of a hybrid energy generation system.

Simulation of a PV-Micro-Hydro-Hydrogen System Feeding the Energy Requests of a Residential Building in a Remote Area of the Alps: Part II — Integrated System

2002 ◽  
Author(s):  
S. Macagno ◽  
M. Santarelli ◽  
R. Borchiellini ◽  
M. Cali`
Keyword(s):  
Fossil Fuels ◽  
Electric Energy ◽  
Residential Building ◽  
Energy System ◽  
Energy Performance ◽  
Integrated System ◽  
Hydro Power ◽  
Energy Devices ◽  
Production Of Hydrogen ◽  
The Alps

The paper presents a simulation model of a hypothetical stand-alone energy system based just on renewable sources (solar irradiance and micro-hydro power) integrated with a system for the production of hydrogen (electrolyzer, storage and PEMFC). Such a system has been designed to supply the electricity needs of a residential user (a small residential building in a isolated village of a valley of the Alps in Italy) during a complete year of operation, without integration of traditional energy devices based on fossil fuels. A simulation in the Matlab environment has been developed to determine the energy performance of this system during a complete year of operation. The simulation of the operation of the system has been made on an hourly basis as a succession of steady states. The technical feasibility of the system will be evaluated, through the analysis of some variables (e.g. the production and consumption of electricity along the year by the different components, the production, storage and utilisation of hydrogen, etc.). The analysis will show that in a complete year nearly the 50% of the electrical load required from the final user will be given by the PEMFC, even if the micro-hydro turbine and the PV array produce a very high amount of energy. Moreover, the electricity produced by the PEMFC is the 38.5% of the input electric energy sent to the electrolyzer; this value indicates the mean annual efficiency of the conversion chain of the production and utilization of hydrogen inside this plant.

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

scholarly journals Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 233 ◽  
Author(s):  
Omar Mohammed ◽  
Yassine Amirat ◽  
Mohamed Benbouzid
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Hybrid System ◽  
High Reliability ◽  
Energy System ◽  
System Model ◽  
Optimization Approach ◽  
Hybrid Energy ◽  
Optimal Energy ◽  
Optimal Energy Management

Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.

Model Predictive Control of Wind-Photovoltaic Hybrid System Connected to Grid

2017 ◽  
Vol 6 (3) ◽  
pp. 216
Author(s):  
Houda Abidi ◽  
Abdelkader Mami
Keyword(s):  
Predictive Control ◽  
Hybrid System ◽  
Energy System ◽  
Reference Tracking ◽  
Control Approach ◽  
Hybrid Energy ◽  
Electrical Grid ◽  
Parameter Variations ◽  
Predicted Values ◽  
The Cost

<span>This work focuses on Model based Predictive Control (MPC) for photovoltaic-wind hybrid energy system connected to electrical grid. Several benefits  are offered by this method  such as robustness against a  parameter variations, minimum output current distortion and excellent reference tracking. In order to minimize the cost function or the error between the  predicted values and their references, MPC-based algorithm permit to select and apply the  optimal voltage vector. Simulation results under Psim environment show a fast dynamic behavior of hybrid system with minimal errors, accuracy and usefulness of the considered control approach.</span>

Optimization and evaluation of a wind, solar and fuel cell hybrid system in supplying electricity to a remote district in national grid

2019 ◽  
Vol 14 (2) ◽  
pp. 408-418
Author(s):  
Reza Alayi ◽  
Alibakhsh Kasaeian ◽  
Atabak Najafi ◽  
Eskandar Jamali
Keyword(s):  
Hybrid System ◽  
Design Methodology ◽  
Energy System ◽  
Current Load ◽  
Hybrid Energy System ◽  
Content Type ◽  
Hybrid Energy ◽  
Design And Optimization ◽  
Load Demand ◽  
Hybrid Optimization Model

Purpose The important factors, which should be considered in the design of a hybrid system of photovoltaic and wind energy are discussed in this study. The current load demand for electricity, as well as the load profile of solar radiation and wind power of the specified region chosen in Iran, is the basis of design and optimization in this study. Hybrid optimization model for electric renewable (HOMER) software was used to simulate and optimize hybrid energy system technically and economically. Design/methodology/approach HOMER software was used to simulate and optimize hybrid energy system technically and economically. Findings The maximum radiation intensity for the study area is 7.95 kwh/m2/day for July and the maximum wind speed for the study area is 11.02 m/s for January. Originality/value This research is the result of the original studies.

scholarly journals Techno-Economic Analysis of Grid-Connected PV and Fuel Cell Hybrid System Using Different PV Tracking Techniques

2020 ◽  
Vol 10 (23) ◽  
pp. 8515
Author(s):  
Saif Mubaarak ◽  
Delong Zhang ◽  
Yongcong Chen ◽  
Jinxin Liu ◽  
Longze Wang ◽  
...  
Keyword(s):  
Hybrid System ◽  
Energy Systems ◽  
Energy System ◽  
Vital Role ◽  
Pv System ◽  
Hybrid Energy ◽  
Cost Of Energy ◽  
System Components ◽  
Pv Generation

Solar energy has attracted the attention of researchers around the world due to its advantages. However, photovoltaic (PV) panels still have not attained the desired efficiency and economic mature. PV tracking techniques can play a vital role in improving the performance of the PV system. The aim of this paper is to evaluate and compare the technical and economic performance of grid-connected hybrid energy systems including PV and fuel cells (FC) by applying major types of PV tracking technique. The topology and design principles and technical description of hybrid system components are proposed in this paper. Moreover, this paper also introduces economic criteria, which are used to evaluate the economy of different PV tracking techniques and seek the optimal configuration of system components. In the case study, the results show that the vertical single axis tracker was ranked 1st in terms of highest PV generation, penetration of renewable energy to the grid, lowest CO2 emission, highest energy sold to the grid and lowest purchased, and lowest net present cost (NPC) and levelized cost of energy (LCOE). The study found that the optimal design of a grid-connected hybrid energy system (PV-FC) was by using a vertical single axis tracker which has the lowest NPC, LCOE.

scholarly journals Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

2019 ◽  
Vol 9 (23) ◽  
pp. 5221 ◽  
Author(s):  
Lujano-Rojas ◽  
Yusta ◽  
Artal-Sevil ◽  
Domínguez-Navarro
Keyword(s):  
Greenhouse Gas ◽  
Storage System ◽  
Ghg Emissions ◽  
Energy System ◽  
Energy Storage System ◽  
Operating Conditions ◽  
Binary Particle Swarm Optimization ◽  
Peak Shaving ◽  
Hybrid Energy ◽  
Heuristic Techniques

This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.

scholarly journals Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

2021 ◽  
Vol 7 (2) ◽  
pp. 19-24
Author(s):  
Ashish Srivastava ◽  
Dr. M S Dash
Keyword(s):  
Power Generation ◽  
Hybrid System ◽  
Large Scale ◽  
Energy System ◽  
Stable Operation ◽  
Hybrid Energy ◽  
Power Extraction ◽  
Energy Demands ◽  
Attractive Option ◽  
Micro Grid

With the growing demand of electricity, deployment of micro grid is becoming an attractive option to meet the energy demands. At present, large-scale wind/solar hybrid system is of great potential for development. The large-scale wind/solar hybrid system is of higher reliability compared with wind power generation alone and solar power generation alone However, a grid-connected micro grid suffers from critical stability problems during a power grid failure. For stable operation of the micro grid during a grid failure. In this paper, the transition stability of the micro grid is examined during a power failure

scholarly journals Hybrid System Power Generation'wind-photovoltaic' Connected to the Electrical Network 220 kV

2018 ◽  
Vol 7 (1) ◽  
pp. 10
Author(s):  
Mida Dris ◽  
Benattous Djilani
Keyword(s):  
Wind Turbine ◽  
Hybrid System ◽  
Energy System ◽  
Electrical Network ◽  
Maximum Power Point ◽  
Hybrid Energy ◽  
Approach Method ◽  
Power Point ◽  
Conventional Systems ◽  
System Power

Renewable energy have the potential to generate electricity cleanly without pollution and a lesser dependence of resources for this production of electric power by these systems sources such as solar, wind, hydro, geothermal and biomass instead anti-environmental conventional systems such as gas, coal and oil is a remarkable idea but not frequent in Algeria. Our research focuses on the study of a hybrid energy system (Photovoltaic-Wind), connected to the Electrical Network 220 kV and this by tracking the maximum power point (MPPT) for two energy sources. For this, methods based on optimization algorithms were used side PV array and Wind turbine. With regard to the wind turbine, optimization was based on an analytical approach method. The Matlab/Simulink  is used for simulated power output from Hybrid System, power delivered to or from grid and phase voltage of the inverter leg

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