This invention relates to a photovoltaic-powered reverse osmosis system for water desalination, and more particularly to such a system which the reverse osmosis feed water is used to cool the photovoltaic solar panel increasing overall system efficiency.
Reverse osmosis is a well-known technology for desalination of brackish groundwater and sea water. A prior art basic photovoltaic-reverse osmosis (PV/RO) system is shown in
Reverse osmosis is an energy-intensive process. Hence, the use of solar energy is attractive. While it is known to use a photovoltaic panel o generate electricity for use in a reverse osmosis system, it has been unappreciated that thermal management of the PV/RO system can increase overall system efficiency.
It is therefore an object of the present invention to improve the efficiency of a PV/RO system by using the salt-containing feed water to cool the photovoltaic panel and thereby to heat the feed water before it enters the reverse osmosis pressure vessel.
The photovoltaic-powered reverse osmosis system according to the invention includes a photovoltaic panel for generating electricity and has a heat exchanger in thermal contact therewith. A reverse osmosis unit is provided for receiving salt-containing feed water to produce clean water therefrom. Fluid circuitry, including a motor, is provided for circulating the feed water through the heat exchanger to cool the photovoltaic panel and to heat the feed water. The fluid circuitry also delivers the heated feed water to the reverse osmosis unit for desalination. A thermal controller in a preferred embodiment determines the flow of the feed water through the fluid circuitry and increases clean water production by managing temperatures of the photovoltaic panel and the feed water.
This system is constructed from modular components. The individual components, such as pumps, photovoltaic panels, and reverse osmosis membranes, can be mass-produced at low cost. This enables efficient systems to be custom configured for a particular location and demand.
In a preferred embodiment, the motor drives a positive displacement pump for delivering the feed water to the reverse osmosis unit. In this embodiment, it is preferred that the photovoltaic panel temperature be minimized. The reverse osmosis feed water temperature in this embodiment is maximized subject to a constraint on maximum feed water temperature.
Solar panels and reverse osmosis membranes possess complementary characteristics that can be exploited to improve the overall system efficiency. Numbers in brackets refer to the references included herewith, the contents of all of which are incorporated herein by reference in their entirety.
These thermal characteristics are complementary. By cooling the PV panel with the incoming feed water, additional electrical power can be produced by the solar panel while warming the feed water, for a greater fresh water production. The ability to cool the PV panels also permits the addition of simple, low-cost concentrating mirrors to the PV panels, increasing the total amount of clean water produced without overheating the solar panel. An active control that manages these temperatures is required to maximize water production, without either the panel or the RO overheating.
The thermal controller maximizes the clean water produced by a PV/RO system by managing the temperatures of the PV panel and the RO feed water in response to changes in the incoming solar radiation, ambient air temperature and source water temperature. This is accomplished by controlling the flow of water through the heat exchanger 114 by changing the operating points of the valves and pumps in the stem. Assuming that the incoming feed water temperature Tw is below the maximum solar panel temperature Tp,max and the maximum membrane temperature TRO,max, the feed water flow rate through the PV panel heat exchanger can be controlled such that the panel temperature Tp is minimized and the reverse osmosis temperature TRO is maximized, which in turn will maximize clean water production qp. Using the nomenclature given in Table 1, this problem can be written as
maximize(qp) (1)
subject to the following typical constraints:
Equations (2) and (13) are based on manufacturer data [3]. Equations (6-9) and (11) are from [4]. Details on the development of Equations (15-21) are based on [5].
where r is the recovery ratio of fresh water to incoming feed water. Table 2 lists the nomenclature used for the control equations, outputs, commands and disturbances.
The commanded inputs to the system are:
Tp=Tw (23)
TFW=TRO,max (24)
PFW=0 (25)
The error between the commanded inputs and the measured output values are used by the controller to determine the positions of the valves, which determine the resistances across the valves. The equations that govern the thermal dynamics are as follows, using the nomenclature defined in Table 2. The flow through the PV panel heat exchanger is determined by:
The flow from the PV heat exchanger that bypasses the RO unit is determined by:
The flow from the water supply that bypasses the PV panel heat exchanger is determined by:
The flow from the PV panel heat exchanger to the RO unit is found using:
q
4
=q
1
−q
2 (29)
The RO feed water flow is then:
q
FW
=q
4
+q
3 (30)
Substituting Equations (26)-(29) into (30) yields:
which describes the feed water flow rate in terms of the pressures, flow resistances and flow rate through the heat exchanger.
The temperature of the water leaving the PV panel heat exchanger is given by:
The temperature of the RO feed water is given by:
The temperature of the solar panel is given by Equation (15), repeated here, using the nomenclature found in Table 1:
This thermal-fluid network is similar to that of an electrical resistance network. However, the above equations are nonlinear, since the flow resistances through the valves vary with position (percent the valves are open), and the flow resistance through the heat exchanger is dependent on the flow rate through it.
There are many control strategies that can be implemented, and selection of a control method will determine the equations governing the controller. One option is to linearize equations (22) through (29) about several desired operating points using, say, Taylor series expansion, and then classical linear feedback control methods can be applied. The linearized system dynamics are then described in matrix form as:
where the coefficients of the A and B matrices are determined by linearization around an operating point. It may be appropriate to linearize the system around several discrete operating points, and then have a higher-level controller decide which set point to select based on some governing criteria, such as time of day or electrical power produced by the PV panel,
If the linearization method is not effective or appropriate tier some states, other control methods, such as fuzzy logic and impedance control, can be applied.
An experimental PV/RO system for seawater desalination has been designed and constructed, see
The performance of a small scale PV/RO system with a thermal controller was simulated (see
The following cases were simulated:
Results from e simulations, run for the duration of a full November day (from sunrise to sunset) are presented n Table 4.
The results suggest that a modest increase in clean water production is achievable with thermal management. Adding solar concentrating mirrors to a thermally controlled system can potentially increase the total water produced by approximately 50%. Although the PV panel does not overheat here, its maximum temperature when cooled without concentrating mirrors is 10 degrees lower than when it isn't cooled.
The system with thermal management was tested in mid-November, and was run for 6 hours. Here, thermal management consisted of a constant pump and valve set-points. The system was also run without thermal management for a conventional system configuration, for comparison. The experimental results show an increase in panel power produced and in total daily water production when thermal management is implemented, and agree well with the simulated results when both concentrating mirrors and thermal management are used.
Table 5 compares the experimental and simulated cumulative water produced. The simulation results in this table are different from those in Table 4, because the simulations in Table 4 were run from sunrise to sunset. The simulation results in Table 5 are for the same hours of the day that the experimental system was run, a total of 6 hours. The experimental and simulated results agree well when solar concentrators and thermal management are used.
A conceptual design of an optimal thermal controller for a PV/RO system has been presented. The way in which the controller manages the temperatures of the PV panel and RO feed water under three different scenarios is described: operation under “normal” conditions in which the PV panel is cooled and the RO feed water is heated to a temperature below its allowable maximum temperature, operation when the RO feed water is too warm, and operation when the PV panel requires more cooling water than needed by the RO unit.
Simulations of a small-scale PV/RO system with temperature control indicate that substantial performance improvements are possible. These thermal control results were validated on an experimental PV/RO system. The system was tested with thermal management and solar concentrators, and without thermal management or solar concentrators. Experimental and simulated results for the system with solar concentrators and thermal management agree, showing that the approach is promising.