A TRNSYS Dynamic Simulation Model for Photovoltaic System Powering a Reverse Osmosis Desalination Unit with Solar Energy

2010 ◽  
Vol 8 (1) ◽  
Author(s):  
Rym Chaker ◽  
Hatem Dhaouadi ◽  
Hatem Mhiri ◽  
Philippe Bournot
Keyword(s):  
Reverse Osmosis ◽  
Fresh Water ◽  
Production Capacity ◽  
Photovoltaic System ◽  
Feed Water ◽  
Water Production ◽  
Raw Water ◽  
Solar Panels ◽  
Pv System ◽  
Dynamic Simulation Model

This paper presents a Photovoltaic (PV) simulation system powering a reverse osmosis (RO) desalination unit with no energy recovery device (ERD). The simulation is carried out using commercial software, Transient System Simulation (TRNSYS®). The PV system consists on solar panels (Siemens SM55) with rated power of 55 W, connected to a storage battery via DC-DC charge controller. The load of this system is a pump, which provides the RO system with feed water. The RO unit is composed of one Filmtec spiral wound membrane. Simulation results for fresh water production showed that with a continuous feed of 1.5 m3h-1, a total capacity production of 110 m3 per year can be achieved. The effect of the main parameters in desalinated water production capacity showed that with the increase of the raw water feed flow and the PV surface, the monthly fresh water production increases. They also showed that with the increase of raw water salinity, the fresh water production decreases. This work is validated with literature experimental results.

Design Optimization of a Solar-Powered Reverse Osmosis Desalination System for Small Communities

2013 ◽  
Author(s):  
Jihun Kim ◽  
Karim Hamza ◽  
Mohamed El Morsi ◽  
Ashraf O. Nassef ◽  
Sayed Metwalli ◽  
...  
Keyword(s):  
Reverse Osmosis ◽  
Fresh Water ◽  
Energy Resource ◽  
Production Capacity ◽  
Water Desalination ◽  
Battery Storage ◽  
Water Stream ◽  
Permeable Membrane ◽  
Small Communities ◽  
Solar Powered

Fresh water availability is essential for the economic development in small communities in remote areas. In desert climate, where naturally occurring fresh water is scarce, seawater or brackish water from wells is often more abundant. Since water desalination approaches are energy intensive, a strong motivation exists for the design of cost-effective desalination systems that utilize the abundant renewable energy resource; solar energy. This paper presents an optimization model of a solar-powered reverse osmosis (RO) desalination system. RO systems rely on pumping salty water at high pressure through semi-permeable membrane modules. Under sufficient pressure, water molecules will flow through the membranes, leaving salt ions behind, and are collected in a fresh water stream. Since RO system are primarily powered via electricity, the system model incorporates photovoltaic (PV) panels, and battery storage for smoothing out fluctuations in the PV power output, as well as allowing system operation for a number of hours after sunset. Design variables include sizing of the PV solar collectors, battery storage capacity, as well as the sizing of the RO system membrane module and power elements. The objective is to minimize the cost of unit volume produced fresh water, subject to constraints on production capacity. A genetic algorithm is used to generate and compare optimal designs for two different locations near the Red Sea and Sinai.

Diffusion Driven Desalination for Simultaneous Fresh Water Production and Desulfurization

2010 ◽  
Vol 2 (3) ◽  
Author(s):  
Jameel R. Khan ◽  
James F. Klausner ◽  
Donald P. Ziegler ◽  
Srinivas S. Garimella
Keyword(s):  
Fresh Water ◽  
Fluid Transport ◽  
Transport Model ◽  
Waste Heat ◽  
Feed Water ◽  
Low Grade ◽  
Water Production ◽  
Air Stream ◽  
Mass Transport Model ◽  
Air Streams

The diffusion driven desalination (DDD) process has been previously introduced as a process for distilling water using low-grade waste heat. Here, a configuration of the DDD process is introduced for simultaneously distilling water and scrubbing sulfur dioxide (SO2) out of heated air streams, which is also known as flue gas desulfurization (FGD). This novel DDD/FGD process utilizes the low-grade waste heat carried in industrial discharge air streams. There are many applications, where the industrial air discharge also contains SO2, and in order to utilize the waste heat for the DDD process, the SO2 must be scrubbed out of the air stream. The two major components of the DDD process are the diffusion tower and the direct contact condenser. In the present work, a thermal fluid transport model for the DDD/FGD process, that includes SO2 scrubbing, is developed. It is an extension of the heat and mass transport model previously reported for the DDD process. An existing laboratory scale DDD facility was modified and tested with SO2 in the air stream and with seawater as the feed water to the diffusion tower. The experimental investigation has been completed to evaluate the fresh water production and SO2 scrubbing potential for the DDD/FGD process. The experimental results compare favorably with the model predictions. Chemical analysis on the condenser water demonstrates the capability of the DDD/FGD process to produce high quality fresh water using seawater as the input feed water to the process.

Innovative Diffusion Driven Desalination Process

2004 ◽  
Vol 126 (3) ◽  
pp. 219-225 ◽  
Author(s):  
James F. Klausner ◽  
Yi Li ◽  
Mohamed Darwish ◽  
Renwei Mei
Keyword(s):  
Fresh Water ◽  
Direct Contact ◽  
Production Efficiency ◽  
Waste Heat ◽  
Feed Water ◽  
Water Production ◽  
Vapor Mixture ◽  
Steam Power ◽  
Low Humidity ◽  
Feed Water Temperature

An innovative diffusion driven desalination (DDD) process is presented, and its performance based on thermodynamic considerations is thoroughly explored. The desalination is driven by water vapor saturating low humidity air flowing through a diffusion tower. Liquid water is condensed out of the air/vapor mixture in a direct contact condenser. The desalination process is suitable for operation at low temperatures and may be driven by waste heat with low exergy. It is demonstrated that the DDD process can yield a fresh water production efficiency of 4.5% with thermal energy consumption of 0.56 kWh per kilogram of fresh water production based on a feed water temperature of only 50°C. An example is discussed in which the DDD process utilizes waste heat from a 100 MW steam power plant to produce 1.51 million gallons of fresh water per day.

Enhancing the Performance of Photovoltaic Powered Reverse Osmosis Desalination Systems by Active Thermal Management

2011 ◽  
Author(s):  
Leah Kelley ◽  
Amy M. Bilton ◽  
Steven Dubowsky
Keyword(s):  
Thermal Management ◽  
Reverse Osmosis ◽  
Fresh Water ◽  
Low Cost ◽  
Simulation Models ◽  
Cost Effective ◽  
Thermal Control ◽  
Solar Panel ◽  
Experimental Results ◽  
Feed Water

Reverse osmosis (RO) is a well-known process for desalinating seawater and brackish groundwater. Desalination is energy-intensive, so using photovoltaic (PV) panels to power the process is an attractive and cost-effective concept, especially for community-scale systems. Increasing the system efficiency will lower the total cost of water produced, making the systems more economically competitive for a greater number of geographic locations. It is noted in this paper that the amount of water produced by a PV-powered RO (PVRO) system can be increased if the temperatures of the solar panel and the reverse osmosis feed water are actively managed. For a given level of solar radiation, a photovoltaic panel produces more power at a lower temperature. Also, for a given power, an RO system produces more clean water at a higher input (feed) water temperature. An active thermal management system is needed to exploit these complementary characteristics by cooling the solar panel and warming the RO feed water, increasing the amount of fresh water produced. This can be accomplished by running the RO feed water through a heat exchanger attached to the back of the solar panel, cooling it. Furthermore, the ability to cool the solar panels permits the addition of low-cost, flat-plate concentrating mirrors to be used with the PV panels, which further increases the PV power output. The flow of the water through the respective units must be actively controlled as there are limits for the maximum temperatures of both the RO water and PV panels. In this paper, a concept for an active PVRO thermal control system is presented. Simulations and experimental results show the effectiveness of this approach. In experiment, a 57% increase in fresh water production was achieved. These experimental results agree well with simulation models.

scholarly journals Fýsileiki virkjunar sólarorku á norðurslóðum: Reynsla af sólarpanelum IKEA á Íslandi

2019 ◽  
Vol 25 ◽  
pp. 1-19
Author(s):  
Sindri Þrastarson ◽  
Björn Marteinsson ◽  
Hrund Ólöf Andradóttir
Keyword(s):  
Energy Production ◽  
Production Capacity ◽  
Production Costs ◽  
Performance Ratio ◽  
Solar Irradiation ◽  
Specific Yield ◽  
Solar Pv ◽  
Solar Panels ◽  
Pv System ◽  
Pv Systems

The efficiency and production costs of solar panels have improved dramatically in the past decades. The Nordic countries have taken steps in instigating photovoltaic (PV) systems into energy production despite limited incoming solar radiation in winter. IKEA installed the first major PV system in Iceland with 65 solar panels with 17.55 kW of production capacity in the summer of 2018. The purpose of this research was to assess the feasibility of PV systems in Reykjavík based on solar irradiation measurements, energy production of a PV array located at IKEA and theory. Results suggests that net irradiation in Reykjavík (64°N, 21° V) was on average about 780 kWh/m2 per year (based on years 2008-2018), highest 140 kWh/m2 in July and lowest 1,8 kWh/m2 in December. Maximum annual solar power is generated by solar panels installed at a 40° fixed angle. PV panels at a lower angle produce more energy during summer. Conversely, higher angles maximize production in the winter. The PV system produced over 12 MWh over a one-year period and annual specific yield was 712 kWh/kW and performance ratio 69% which is about 10% lower than in similar studies in cold climates. That difference can be explained by snow cover, shadow falling on the panels and panels not being fixed at optimal slope. Payback time for the IKEA PV system was calculated 24 years which considers low electricity prices in Reykjavik and unforeseen high installation costs. Solar energy could be a feasible option in the future if production- and installation costs were to decrease and if the solar PV output could be sold to the electric grid in Iceland.

scholarly journals Performance Analysis of 33KW Grid Connected Solar Roof Top Power Plant

2020 ◽  
Vol 9 (5) ◽  
pp. 1765-1770
Keyword(s):  
Meteorological Data ◽  
Simulation Software ◽  
Photovoltaic System ◽  
Performance Ratio ◽  
Solar Panels ◽  
Data Logger ◽  
Pv System ◽  
Ip Address ◽  
The Third ◽  
Final Array

Solar Roof tops are being progressively used worldwide now a days to install solar panels to generate electricity. One such step has been taken by S.R.K.R Engineering College to generate power through solar roof tops by installing a 33KWp On-grid solar power system (Latitude 16.54° N and Longitude 81.50° E) during April-2016. This grid connected PV system is installed at an area of 345 sq. m and the PV modules are tilted at an angle of 18° on the top of a 3 staired building. This paper analyses the Performance of a 33KWp On-grid photovoltaic system which is monitored between Jan-2019 to Dec-2019. Some part of electricity generated by the system is consumed by the college and the remaining power was fed in to the state grid. The tariff for the grid connected system is based on the energy consumed from the grid and the energy supplied in to the grid. The data is collected from the Data-logger of the inverter which is having an IP address. This data is collected according to the IEC protocol which suggests to collect the data for every 15 minutes. The data is collected from the inverter in this format and is stored as a csv file every day. This data along with the meteorological data collected from the coordinates of the site are analyzed by using pvsyst simulation software. The performance of this system is found for the third year in operation. . The analysis of the PV system has been done to enumerate its performance at each and every component and thereby develop solution to mitigate the problems. The different parameters including efficiencies of panels, inverter, array’s initial yield, final array yield, and the performance ratio of PV system are analyzed.

scholarly journals Comparison between neural network and P&O method in optimizing MPPT control for photovoltaic cell

2020 ◽  
Vol 10 (5) ◽  
pp. 5083
Author(s):  
ِِِAhmed G. Abdullah ◽  
Mothanna sh. Aziz ◽  
Bashar Abdullah Hamad
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Production Capacity ◽  
Clean Energy ◽  
Photovoltaic Cell ◽  
Photovoltaic System ◽  
Pv System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The demand for renewable energy has increased because it is considered a clean energy and does not result in any pollution or emission of toxic gases that negatively affect the environment and human health also requiring little maintenance, and emitting no noise, so it is necessary to develop this type of energy and increase its production capacity. In this research a design of maximum power point tracking (MPPT) control method using Neural Network (NN) for photovoltaic system is presented. First we design a standalone PV system linked to dc boost chopper with MPPT by perturbation and observation P&O technique, and then a design of MPPT by using ANN for the same system is presented. Comparative between two control methods are studied. The results explained in constant and adjustable weather settings such as irradiation and temperature. The results exposed that the proposed MPPT by ANN control can improve the PV array efficiency by reduce the oscillation around the MPP that accure in P&O method and so decreases the power losses. As well as decrease the the overshot that accure in transient response, and hence improving the performance of the solar cell.

scholarly journals A Novel Hexagonal-Shaped Multilevel Inverter with Reduced Switches for Grid-Integrated Photovoltaic System

2021 ◽  
Vol 13 (21) ◽  
pp. 12018
Author(s):  
Md. Tariqul Islam ◽  
Hady H. Fayek ◽  
Eugen Rusu ◽  
Md. Fayzur Rahman
Keyword(s):  
Low Frequency ◽  
Multilevel Inverter ◽  
Photovoltaic System ◽  
Installation Space ◽  
Modulation Scheme ◽  
Solar Pv ◽  
Solar Panels ◽  
Pv System ◽  
Conversion Unit ◽  
Switching Devices

To date, the grid-connected solar photovoltaic (PV) system has drawn consideration from researchers and academicians due to the speedy improvement and the declining price of solar panels. The proficiency and dependability of a grid integrated PV system rest mainly on the power conversion unit and the proper controlling mechanism. This paper introduces a novel asymmetric hexagonal-shaped fifteen-level inverter designed to feed a grid-integrated solar PV system. First, it aims to reduce the number of components and thereby decrease the installation space and cost of the multilevel inverter. Moreover, it has a low total blocking voltage (TBV) and total device rating (TDR) and uses few switching devices for generating per level of output voltage. The proposed topology utilizes only eight switching devices for generating fifteen levels at the output, which is lower than conventional multilevel inverter topologies. Here, a low-frequency modulation scheme using the half-height (HH) method generates switching pulses to minimize the complexity. The proposed multilevel inverter topology is also validated through the simulations in the MATLAB SIMULINK environment. The proposed inverter need for filters is illustrated according to different grid codes for integrating PV systems to the grid.

Sign in / Sign up

Export Citation Format

Share Document