scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

scholarly journals Future Challenges in Energy Management System for Hybrid Renewable Energy System

2020 ◽  
Vol 8 (6) ◽  
pp. 913-919
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Diesel Generator ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Future Challenges ◽  
Hybrid Renewable Energy

Taking into consideration of continuously increasing consumption of the electricity and perturb towards environmental issues, renewable energy sources have been broadly used for generation of electricity. A Hybrid Energy System can be elucidated as systems which consist of various energy sources such as wind, solar, fuel cell, diesel generator and storage systems such as batteries to store energy are integrated and interconnected to satisfy the load energy demand. This paper infers the generation of electricity by utilizing the Hybrid Renewable Energy System (HRES). This paper presents the modelling and future challenges of the HRES.

scholarly journals Techno Economic Assessment of Hybrid Renewable Energy Systems Based on Power to Hydrogen and Methane Gas Concepts

2018 ◽  
Author(s):  
Ahmed Boubenia ◽  
Ahmed Hafaifa ◽  
Abdellah Kouzou ◽  
Mohamed Becherif
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Photovoltaic System ◽  
Hybrid Renewable Energy System ◽  
Micro Turbine ◽  
The Stability ◽  
Hybrid Renewable Energy

This paper deals with the techno-economic study of the hybrid renewable energy system based on energy storage aspect under the form of hydrogen and methane. Indeed, with the intermittency of the renewable energy sources such as photovoltaic and wind energy, several problems of produced energy injection to the power system network can be encountered due to the shortage or the excess of these sources. This situation appeals the use of systems that ensure the stability of network based on the storage of energy surplus into gas using electrolyzer systems, which will be used afterward to cover the eventual shortage. In the present paper, the study of performance of each pathway of methane and hydrogen storage has been performed by the treatment of multiple scenarios via different architecture case studies in an Algerian location. Whereas, the energy produced by the photovoltaic system, the wind energy and the gas micro turbine sources are considered similar in each case. The modeling and simulation of the studied system operation under optimization criteria has been performed in this work, where the main aim is to define the appropriate configuration taking into account the different with low costs of investment, maintenance operation and immediate reactivity with a big storage capacity.

Optimization of Hybrid Renewable Energy System (HRES) Using Modified Evolutionary Strategy for Cost Minimization

2015 ◽  
Vol 785 ◽  
pp. 546-550
Author(s):  
Ahmad Syazwan Aznan ◽  
Ismail Musirin ◽  
Siti Aliyah Mohd Saleh ◽  
Nur Azzammudin Rahmat
Keyword(s):  
Renewable Energy ◽  
Distribution System ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Evolutionary Strategy ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
The Cost ◽  
Hybrid Renewable Energy

Recently, renewable energy has been in place to cater the depreciation of main energy. The presence of renewable energy sources can be made in hybrid to satisfy the demand in the distribution system. Nevertheless, the growth in number for renewable energy could lead to cost increment. This paper presents the optimization process of Hybrid Renewable Energy System (HRES) using Modified Evolutionary Strategy (ES) technique for cost minimization. The study involves the development of optimization engine for modified ES in order to solve the cost minimization of HRES. The improved version of ES is expected to address the computation burden experienced by the traditional ES technique. Results obtained from the implementation of the modified ES managed to reveal that its implementation is worth in terms of minimizing the cost

DESIGN AND POWER QUALITY ANALYSIS OF HYBRID RENEWABLE ENERGY SYSTEM FOR THO CHU ISLAND, VIETNAM

2020 ◽  
pp. 66-75
Author(s):  
Le Duc Tung
Keyword(s):  
Renewable Energy ◽  
Environmental Pollution ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Quality Analysis ◽  
Technical Solution ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

Using renewable energy sources for providing electricity in remote area is an economical-technical solution and reduces environmental pollution. Tho Chu island, Phu Quoc district, Kien Giang province, is currently supplied by diesel generators, causing environmental pollution and high-power generation costs. This article presents hybrid renewable energy system (HRES) design including diesel generator, photovoltaic system and energy storage system for Tho Chu Island. In addition to calculating and selecting of equipment, ensuring power supply for the load, the paper also examines the frequency and voltage quality, considers the harmonic distortion of the power supply system. The simulation results obtained from PYsyst and Matlab/Simulink software show the effectiveness of the HRES.

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2021 ◽  
pp. 353-384
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization

2018 ◽  
pp. 58-89 ◽  
Author(s):  
Mouna Ben Smida ◽  
Anis Sakly ◽  
Sundarapandian Vaidyanathan ◽  
Ahmad Taher Azar
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Energy System ◽  
Energy Sources ◽  
Swarm Optimization ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and wind generators. These energy resources have enormous potential and can meet the current global demand for energy. Despite the obvious advantages of renewable energy sources, they have significant disadvantages, such as the discontinuity of their generation, due to their heavy dependence on weather and climate change, which affects their effectiveness in the conversion of renewable energy. Faced with this conflict, it is essential to optimize the performance of renewable systems in order to increase their efficiency. Several unconventional approaches to optimization have been developed in the literature. In this chapter, the management of a hybrid renewable energy system is optimized by intelligent approach based on particle swarm optimization comprising a shaded photovoltaic generator and a wind generator.

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