Portable solar desalination system using membrane distillation

2012 ◽  
Vol 7 (4) ◽  
Author(s):  
S. M. Al-Zahrani ◽  
F. H. Choo ◽  
F. L. Tan ◽  
M. Prabu
Keyword(s):  
Drinking Water ◽  
Solar Energy ◽  
Membrane Distillation ◽  
Solar Pv ◽  
Frame Size ◽  
Emergency Situations ◽  
Solar Desalination ◽  
Energy Needs ◽  
Solar Thermal Collectors ◽  
Portable System

This paper presents the development of a portable solar desalination system using membrane distillation (MD) for processing seawater for drinking in remote areas and for emergency situations such as natural disasters. The portable system uses the vacuum MD to desalinate the seawater. Solar energy is being harvested to provide the energy input for the MD. The portable system should be scalable so that numerous systems can be deployed in case of emergency. The system is self-contained and draws all its energy needs from solar energy. A combination of solar PV and solar thermal collectors are being exploited to harness the energy from the sun to power the portable system. The development work focuses on the engineering design of the MD system to optimize the water production within a given frame size for portability and energy availability. The challenge lies in the engineering of an efficient self-contained system that is reliable and ease of maintenance that will provide drinking water for all where clean drinking water is not readily available.

scholarly journals GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA

2021 ◽  
Vol XLIV-M-3-2021 ◽  
pp. 83-87
Author(s):  
K. T. N. Ihsan ◽  
A. D. Sakti ◽  
K. Wikantika
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Urban Areas ◽  
Power Plants ◽  
Solar Power ◽  
Solar Pv ◽  
Energy Needs ◽  
The World ◽  
The City ◽  
Rooftop Solar

Abstract. Increasing the production of clean and environmentally friendly energy has become one of the world agendas as a strategic effort in dealing with long-term climate change. Seeing the potential of the energy produced, the ease in the installation process, with the small risk of harm generated, solar energy has received significant attention from many countries in the world. The potential for solar energy in Indonesia alone reaches 207 GWp, but only 145.81 MWp has been utilized. Currently, the Indonesian government has set a target to build a Solar Power Plant capacity in 2025 of 6.5 GWh. Urban areas are areas with higher energy demand than rural areas, but the availability of vacant land in urban areas is very minimal for installing solar power plants. Therefore, rooftop solar PV(Photovoltaic) can be a solution in dense areas such as cities. Good planning by looking at the potential resources and energy needs in spatial is needed to manage and utilize energy optimally and sustainably in urban areas. This study aims to develop a geospatial assessment for plan smart energy city that uses rooftop solar PV's potential energy in every building that is effective and efficient. The novelty in the analysis of the distribution of the potential for rooftop solar PV development in urban areas integrates meteorological and spatial aspects and socio-economic aspects. Integration of multi-dynamic spatial data uses in determining the rooftop solar PV construction location, such as meteorological data for solar energy potential, increasing energy needs of each building, and socio-economy data. The data source used comes from statistical data and remote sensing data. The analysis will be carried out temporally (2008, 2013, and 2018) to see the pattern of changes in aspects used in a certain period so that the development plan can be carried out more optimally. This research's output is the formation of a priority analysis of solar PV rooftop construction in urban areas, especially the city of Bandung. The result of energy can also produce by the construction of rooftop solar PV in a potential area. This research is expected to be utilized by policymakers to develop renewable energy in the city of Bandung and increase community participation in switching to renewable energy.

scholarly journals Solar-assisted membrane technology for water purification: a review

2020 ◽  
Author(s):  
Tsegahun Mekonnen Zewdie ◽  
Nigus Gabbiye Habtu ◽  
Abhishek Dutta ◽  
Bart Van der Bruggen
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Solar Energy ◽  
Water Purification ◽  
Arid Regions ◽  
Membrane Distillation ◽  
Water Production ◽  
Safe Drinking Water ◽  
Clean Drinking Water ◽  
Semi Arid

Abstract A shortage of safe drinking water is one of the leading problems in the world. Even in developed countries where water treatment systems are present, safe drinking water may not be always available due to the limitations of advanced water treatment techniques and high energy costs. On the other hand, many rural communities in Asia and Africa situated in semi-arid to arid regions are without reliable access to clean drinking water. It is, therefore, important to explore how solar energy can be linked to water treatment systems for clean drinking water production. Membrane-based water purification technologies play a major role in water purification by utilization of low-cost heat sources to make the process economically and technically viable for small, medium, and large-scale applications. Solar energy can be a viable source of power for water purification facilities in the coming years. Photovoltaic panels and solar thermal collectors are appropriate solar energy collectors for making a solar-powered water treatment system. Solar-assisted membrane-based water purification techniques could have a viable solution to the existing problems in semi-arid and arid regions. Due to the high quality of potable water demand, studies have been carried out on solar-assisted membrane-based technologies in water purification. This review considers basic concepts, specific energy consumption, water production cost, and applications of solar-driven membrane-based water purification technologies such as reverse osmosis, forward osmosis, electrodialysis, membrane distillation, and hybrid membrane systems. This review will allow the researchers to have a wider overview of the effort made by several investigators in the area of solar-assisted membrane-based water purification technology.

Development of solar desalination system from seawater by using basin solar energy

2018 ◽  
Vol 5 (10) ◽  
pp. 22137-22142 ◽  
Author(s):  
A.B.A Hakim ◽  
M.E. Azni ◽  
M. Mupit ◽  
N.A. Bakar
Keyword(s):  
Solar Energy ◽  
Solar Desalination

scholarly journals Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Busra Uzum ◽  
Ahmet Onen ◽  
Hany M. Hasanien ◽  
S. M. Muyeen
Keyword(s):  
Solar Energy ◽  
Power Quality ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Distribution Network ◽  
System Stability ◽  
Solar Pv ◽  
Voltage Quality ◽  
Solution Methods ◽  
Pv Penetration

In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.

Bio-inspired vertically aligned polyaniline nanofiber layers enabling extremely high-efficiency solar membrane distillation for water purification

2021 ◽  
Author(s):  
Yubing Peng ◽  
Yunjie Wang ◽  
Wenwei Li ◽  
Jian Jin
Keyword(s):  
Solar Energy ◽  
Water Purification ◽  
High Efficiency ◽  
Membrane Distillation ◽  
Water Efficiency ◽  
Microfiltration Membrane ◽  
Vertically Aligned ◽  
Polyaniline Nanofiber

A bio-inspired PANI nanofiber layer was fabricated on the surface of a hydrophobic PVDF microfiltration membrane for solar-driven distillation. This membrane possesses high solar energy-to-collected water efficiency for freshwater production under one sun irradiation.

scholarly journals Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-19 ◽  
Author(s):  
O. Nait Mensour ◽  
S. Bouaddi ◽  
B. Abnay ◽  
B. Hlimi ◽  
A. Ihlal
Keyword(s):  
Solar Energy ◽  
Solar Irradiation ◽  
Kriging Interpolation ◽  
Solar Pv ◽  
Energy Potential ◽  
Global Solar Irradiation ◽  
Interpolation Technique ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Hidden Layer

Solar radiation data play an important role in solar energy research. However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed. For this reason, we have developed a model based on artificial neural network (ANN) with a multilayer perceptron (MLP) technique to estimate the monthly average global solar irradiation of the Souss-Massa area (located in the southwest of Morocco). In this study, we have used a large database provided by NASA geosatellite database during the period from 1996 to 2005. After testing several models, we concluded that the best model has 25 nodes in the hidden layer and results in a minimum root mean square error (RMSE) equal to 0.234. Furthermore, almost a perfect correlation coefficient R=0.988 was found between measured and estimated values. This developed model was used to map the monthly solar energy potential of the Souss-Massa area during a year as estimated by the ANN and designed with the Kriging interpolation technique. By comparing the annual average solar irradiation between three selected sites in Souss-Massa, as estimated by our model, and six European locations where large solar PV plants are deployed, it is apparent that the Souss-Massa area is blessed with higher solar potential.

Sign in / Sign up

Export Citation Format

Share Document