DEVELOPMENT OF WATER CULTURE SYSTEM DEPENDING ON RENEWABLE ENERGY TO SUIT REMOTE AREAS

2015 ◽  
Vol 32 (3) ◽  
pp. 1313-1342
Author(s):  
M. N. Al-Awady ◽  
M. F. Abdel-Salam ◽  
H. A. Mahdy ◽  
A. A. Amer
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 ◽  
...  

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


2020 ◽  
Vol 60 (1) ◽  
pp. 287-294
Author(s):  
C. Dumitrescu ◽  
R. Rădoi ◽  
C. Cristescu ◽  
L. Dumitrescu

The article presents an experimental model of a modular structure system for the production of thermal energy and the results of conducting specific tests. The experimental model uses two renewable energy sources - solar energy and energy generated by burning biomass - to provide thermal energy for an increased duration, regardless of the atmospheric factors. Properly sized, the system can be designed as a series product, in a variety of powers, to be used by heat suppliers, and also by individuals, especially the ones from remote areas, who want to ensure their thermal energy independence by using renewable energy.


Many times, Armed Forces are deployed in bases in remote areas on the borders or Islands, which are far flung areas away from mainland. In many such cases, these areas do not have their power requirements through the main grid supply and entire power requirement of the deployment is supplied by diesel generators. These diesel generators have high environmental impact due to emission of greenhouse gases and are highly uneconomical as logistic sustenance of remote bases for supply of fuel is very challenging, Fossil fuel has to be supplied by vehicles, helicopters, boats or manually carried to hill tops. This increases the overall cost of deploying armed forces in remote areas. In recent years with the advancements in power electronic components and renewable energy, development in Microgrids (MGs) have shown a way to reduce dependency on main power grids. Hence, with the help of MGs, renewable energy can be used to fulfill power requirements of the armed forces deployed in remote places. In this work, a MG with capacity of 1MW has been designed keeping the special needs of armed forces as a major consideration. Solar power has been used as a primary renewable energy source in the proposed design. In order to mitigate the adverse effects of meteorological and extreme conditions on the solar power generation capacity, energy storage system in the form of batteries has also been provided. Batteries store power when excess power is generated from the photo voltaic (PV) system and discharge the power when power demand is higher than the PV generated power. Diesel generator sets have also been used to run critical loads, provide reliability and as backup to critical operations catering for outages, night time needs and un-expected meteorological conditions. MATLAB has been used to design and simulate the proposed MG. Working of the MG has also been demonstrated for varying meteorological and varying load conditions as well. The proposed design works satisfactory in all cases.


2021 ◽  
pp. 0958305X2110301
Author(s):  
Animesh Masih ◽  
HK Verma

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.


2020 ◽  
Vol 38 ◽  
pp. 100673 ◽  
Author(s):  
Fareeha Akram ◽  
Furqan Asghar ◽  
Muhammad Asghar Majeed ◽  
Waseem Amjad ◽  
M. Owais Manzoor ◽  
...  

2020 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Joseph Kenfack ◽  
Joseph Voufo ◽  
Paul Salomon Ngohe Ekam ◽  
Jeanine K. Lewetchou ◽  
Urbain Nzotcha

Sub Saharan Africa has a great renewable energy potential. Rural areas are suffering from poor energy access. Some systems designed to address this issue are still faced with some difficulties. Appropriate approaches and energy plant development will help remote areas to address the issue of electricity access. The current development of some micro hydro and micro solar energy plants is of poor quality and maintenance, sometimes resulting in failures. There are also some common mistakes made when promoting (designing) an energy system in an African environment. Identifying issues from local constraints and lessons learned will contribute to determining the appropriate sizing, technology and tools to correctly develop micro hydro and micro solar energy plants.


Sign in / Sign up

Export Citation Format

Share Document