scholarly journals Techno-economic and environmental design of an optimal hybrid energy system for a community multimedia centre in Cameroon

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Franck Armel Talla Konchou ◽  
Hermann Djeudjo Temene ◽  
René Tchinda ◽  
Donatien Njomo
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Energy System ◽  
Energy Deficit ◽  
Environmental Aspect ◽  
Hybrid Energy ◽  
Cost Of Electricity ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

AbstractHybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents the optimal design of a hybrid renewable energy system regarding the technical aspect that is Loss of Power Supply Probability (LPSP), economic aspect that is Cost of Electricity (COE) and Net Present Cost (NPC) and environmental aspect that is Total Greenhouse gases emission (TGE) aspects using a multi-objective Particle Swarm Optimization algorithm for a Community multimedia center in MAKENENE, Cameroon. Optimal configurations including Photovoltaic (PV), Wind, Battery and Diesel generator (DG), separated into Scenarios 1–7 of hybrid energy systems are tested to have the most appropriate Scenario. Scenario 3 (Hybrid system with PV, Battery and DG) with Loss of Power Supply Probability, Cost of Electricity, Net Present Cost and Emission of 0.003%, 0.132 $/kWh, 38,817.7 $ and 2.2 kg/year respectively is found to be the most appropriate for the Community multimedia center.

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.

scholarly journals Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

2021 ◽  
Author(s):  
Yingfeng Chen ◽  
Rui Wang ◽  
Mengjun Ming ◽  
Shi Cheng ◽  
Yiping Bao ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Energy System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Load Demand ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Load Characteristics ◽  
Hybrid Renewable Energy

AbstractFinding the optimal size of a hybrid renewable energy system is certainly important. The problem is often modelled as an multi-objective optimization problem (MOP) in which objectives such as annualized system cost, loss of power supply probability etc. are minimized. However, the MOP model rarely takes the load characteristics into account. We argue that ignoring load characteristics may be inappropriate when designing HRES for a place with intermittent high load demand. For example, in a training base the load demand is high when there are training tasks while the demand decreases to a low level when there is no training task. This results in an interesting issue, that is, when the loss of power supply probability is determined at a specific value, say 15%, then it is very likely that most of loss of power supply would occur right in the training period which is unexpected. Therefore, this study proposes a constraint multi-objective model to deal with this issue—in addition to the general multi-objective optimization model, the loss of power supply probability over a critical period is set as a constraint. Correspondingly, the non-dominated sorting genetic algorithm II with a relaxed $$\epsilon $$ ϵ constraint handling strategy is proposed to address the constraint MOP. Experimental results on a real world application demonstrate that the proposed model and algorithm are both effective and efficient.

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.

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