scholarly journals Hybrid renewable energy/hybrid desalination potentials for remote areas: selected cases studied in Egypt

RSC Advances ◽  
2021 ◽  
Vol 11 (22) ◽  
pp. 13201-13219
Author(s):  
Abd El-Hady B. Kashyout ◽  
Amany Hassan ◽  
Gasser Hassan ◽  
Hassan El-Banna Fath ◽  
Abd El-Wahab Kassem ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Nile River ◽  
Remote Areas ◽  
Egyptian Population ◽  
Hybrid Renewable Energy

For many socio-economic and demographic issues, majority of the Egyptian population live near the Nile River for thousands of years.

Optimum sizing and simulation of hybrid renewable energy system for remote area

2021 ◽  
pp. 0958305X2110301
Author(s):  
Animesh Masih ◽  
HK Verma
Keyword(s):  
Renewable Energy ◽  
Reliability Index ◽  
Energy System ◽  
Energy Resources ◽  
Total System ◽  
Renewable Energy Resources ◽  
Optimal Sizing ◽  
Remote Areas ◽  
Grasshopper Optimization Algorithm ◽  
Hybrid Renewable Energy

In current scenario, people tend to move towards outskirts and like to settle in places that are close to nature. But, due to urban lifestyle and to fulfill the basic needs, demand of electricity remains the same as in urban areas. This demand of electricity can be only fulfilled by using hybrid renewable energy resources, which is easily available in outskirts. Renewable energy resources are unreliable and more expensive. Researchers are working to make, it more reliable and economic in terms of utilization. This article proposes a metaheuristic grasshopper optimization algorithm (GOA) for the optimal sizing of hybrid PV/wind/battery energy system located in remote areas. The proposed algorithm finds the optimal sizing and configuration of remote village load demand that includes house electricity and agriculture. The optimization problem is solved by minimization of total system cost at a desirable level of loss of power supply’s reliability index (LPSRI). The results of GOA are compared with particle swarm optimization (PSO), genetic algorithm (GA) and hybrid optimization of multiple energy resources (HOMER) software. In addition, results are also validated by modeling and simulation of the hybrid energy system and its configurations at different weather conditions-based results. Hybrid PV/wind/battery is found as an optimal system at remote areas and sizing are[Formula: see text] with cost of energy (COE) (0.3473$/kWh) and loss of power supplies reliability index (LPSRI) (0%). It is clear from the results that GOA based methods are more efficient for selection of optimal energy system configuration as compared to others algorithms.

scholarly journals Optimization Design And Simulation Of Microgrid In Amdjarass Town, Chad

2019 ◽  
Vol 118 ◽  
pp. 02015
Author(s):  
Qing Wu ◽  
Zhongyi Fan ◽  
Jintao Zhang ◽  
Qin Sun ◽  
Junjie Yang
Keyword(s):  
Renewable Energy ◽  
Optimization Design ◽  
Power Grids ◽  
Diesel Generator ◽  
Remote Areas ◽  
Pv Systems ◽  
The Cost ◽  
Configuration Scheme ◽  
Renewable Energy Generation ◽  
Hybrid Renewable Energy

How to supply electricity to the remote areas has become a very pressing issue for some countries which do not have the ability to connect all power grids to the whole country temporarily. At the same time, with the increase of fossil fuel costs and the continuous development of renewable energy generation technology, the construction of a hybrid renewable energy microgrid system seems to become an economic and technical approach to resolve the power shortage problem in the remote areas of some countries. Based on the analysis of local natural resources and load conditions, this paper designed a microgrid system which contains the wind turbines, PV systems, a diesel generator and an energy storage module to meet the power supply needs of the small town Amdjarass in Chad. Then the authors optimized the capacity of this microgrid and estimated the cost of this system with the utilization of HOMER software. In the end, this paper set the optimal configuration scheme with the target of the lowest COE and analyzed the sensitivity of some important parameters which could affect the economic performance.

scholarly journals The Effects of Hybrid Resources and Interaction Patterns on Renewable-Energy Management in Remote Areas

2020 ◽  
Vol 55 (4) ◽  
Author(s):  
Muhammad Yusan Naim ◽  
Henny Pramoedyo ◽  
Nuddin Harahab ◽  
Syarifuddin Nojeng
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
New Method ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Interaction Patterns ◽  
Full Model ◽  
Remote Areas ◽  
Hybrid Renewable Energy ◽  
The Impact

This article describes a new method for developing renewable-energy management based on Common Pool Resources and Structural Equation Modeling that enables us to measure and validate variables using Confirmatory Factor Analysis (partial and full models). As an example, this new method was applied to the concept of micro-hydro development in the form of hybrid renewable energy management in Ambapa village. Results of Full model measurements show that the constructs of Hybrid Resources, interaction patterns, and outcomes have each other's positive and significant relationships and are valid against each of the expression variables since all the calculated outcome values meet the criteria of Critical Ratio ≥ 1.96 or Probability ≤ 0.005 and Standardized Factor Loading ≥ 0.5. The results of the full model showed that the path-coefficient values of hybrid resources to outcome referring to a ratio or significance of 2.680 and interaction pattern to outcome of 5.222 are positive and significant. The full model also fulfills the value of Goodness of Fit. Interaction patterns, which had a path coefficient of 0.478, were more dominant than hybrid resources, which had a path coefficient of 0.235. This new method is very effective in determining the impact of indicators to construct, and the effect of an exogenous construct to endogenous construct in develop of micro-hydro as hybrid resources and can be used to develop a program of micro-hydro to manage hybrid renewable energy in remote areas.

Sign in / Sign up

Export Citation Format

Share Document