Archivos de la categoría ‘PUMPING ESTATIONS’

As stated in the last post “optimizing pumping equipment” traditionally pumping equipment has been sized from the flow and pressure requirements for only a  specific situation or scenario. On one hand, the network peak flow demand (when each irrigator freely manages its watering time hydrant)  is usually calculated by the methodology of Clement  from water needs of the alternative or crop rotation, among other considerations.

On the other hand, the engineer designer deems  the pressure to be supplied by the system when  all irrigation hydrants or a large percentage of them have the set pressure or higher.

However, the emergence of applications to optimize allows calculate the sizing of the pumping stations and irrigation networks much more accurately. Whether through Excel sheet (only for simple irrigation networks with few hydrants) or specific software such as GESTAR will determine the minimum total annual cost of the system (as the sum of the cost of depreciation of the investment and operating costs, simplifying the latter usually as the energy cost).

In this process, to increase the head pressure Hd, to the designed flow Qd, an inverse relationship exists between the energy cost (increasing) and the cost of the piping network (decreasing) as shown in figure 1: Total annual cost curve of the system depending on the available head pressure, Hd, sum of annual depreciation costs of the installed pipes (CAT) and energy cost (EC) required per year. In the overall energy cost, the energy term (product of energy consumed (kWh) by the average price (€ / kWh) is usually the most significant in annual electric bills.

The depreciation curve of materials leads to decreasing values ​​as the diameters of the pipes are smaller. The opposite happens with the energy to be supplied by the system to reach the reference pressure through a network of pipes with diameters smaller (and thus cheaper).

So it comes to finding the minimum point on the curve of amortization of materials and energy costs.

Total annual cost vs available head pressure

As suggested by the figure, for the same cost curve pipes amortization (CAT) based on nominal head pressure (Hd), different assessments can be made in annual energy costs (CE1, CE2). They are based on different methodologies or charges applied, lead to different “optimal designs” (Hd1, Hd2).  So, realistic approaches of energy costs must be made since the early stages of the project.

According to the latest data provided by the Irrigation Office of Aragon (North of Spain) price changes in electricity rates will mean, since August 2013, an increase between 10 and 30% for most Water User Associations. Therefore caution should be exercised when estimating the annual costs of the system and its impact on the decision of the minimum annual cost point.

Optimization of irrigation pumping equipment should be take into account  that the need for header pressure  is not constant in time for a network of irrigation demand. We must change the header flow calculated by Clement network by a cloud of points representing different flow and pressure relationships in header (network setpoint curve)

I collected  the following figure 2 from the publication “improvements in the prediction of energy costs” presented at the National Irrigation Congress (Spain) by the research team GESTAR. It is illustrated, for a real irrigation network, the head pressure heights required, highlighting the maximum and minimum height. For each flow we have a wide range of pressures required that the system must be able to supply. We should be able to discriminate the values ​​will not be representative. Through specific tools can generate thousands of random scenarios to help us discriminate situations “exceptional” and we can adjust the power of the station.

head pressure heights required vs flow

 

 

 

 

 

 

 

The good news is that we have tools to model direct pumping station with any regulation setpoint following a curve by several variable or fixed  speed pumps. To do this, simply interpret  the entire pumping station as a “Virtual Pump”. “Virtual Pump´s curves, absorbed Power (or Performance) vs. Net Flow curves,  are the sum of the individual pumps taken into account the variable speed pumps can work in different points according the network setpoint curve).

It is desirable that the simulation model allows to configure and compare agile and flexibly any pumping station design. It must be offer  the choice of compositions with arbitrary numbers of pumps constant RPM (BVF) and RPM variables (BVV) of equal or different size. It  may be considered, if there are multiple BVV, action of variable sequentially (one pressure regulating. BVV time to time) or simultaneously (two regulating BVV simultaneously with the same speed), The results in terms of performance, power consumption, etc may differ notoriously from one option to another as illustrated in next Figure (Performance vs Flow)

Performance vs Flow

 

 

 

 

 

 

Note: the images are taken from the presentation of the Technical Conference GESTAR issued by the group in June of 2,013 EUPSH, Huesca (Spain)

Regulacion estacion bombeo

The most common procedure for sizing a pump station for irrigation systems  is as follows:

First, determine the peak flow for the worst situation that matches up the month of maximum crop water needs.

Second, determine the worst point about pressure requirements, it might be the farthest point from the pumping station, the highest or both of them at the same time.

Third, search the pump equipment that provides a good performance result  for maximum combined flow situation and high pressure (but dividing the whole pumping requirements into various pumps in order to work in stages depending on the demand)

And finally, calculate the power by entering the formula

2-7-2013 8.7.3 2

 But this is not the most efficient solution.

The scenario for which we have designed the peak flow will appear a few days throughout the year.

Depending on the crop and its water needs,  plants demands different amount of water every  month, even when the system is running for 100% of the surface that it has been designed.

Furthermore, we have supposed  the system will be  operational at 100% since day one. However, the surface will  be transformed into irrigation over several years. Again we find that the optimum operating point will not be the same and this situation could last for years.

For example, over the years I’ve found that the pace of modernization of the plots has slowed. Recently the number of farm improvement and management applications for government subsidies have increased (I’m talking about Aragon region, Northern Spain) and local administration is dilating aid approval. Consequently, farmers keep on waiting susdidies and they will not start the expensive irrigate works in their land for the moment.

The projected hydraulic system, designed for the most unfavorable situation, will be operating in a regime which it has not been designed for and consequently it will get lower performance than expected (and higher energy costs).

The pumping system has to be flexible and able to adapt to different demands. And not only that, a good design also supposed to function at peak performance in all cases.

So, in my opinion, it is crucial to calculate the flow demand curve and then choose the curve of the pumping equipment that suits the demand curve with the best performance.

Other optimization guidelines involve pumping organize shifts for homogeneous and optimized operation point on cheaper electricity rates.

Another fundamental aspect that must take into account is the proper maintenance of pumping equipment with corresponding protocols and trained maintenance staff is essential.

Once pumping facilities are already completed and in operation is also highly recommended conducting energy and equipment operation audits. These audits aim to identify improvements in management and equipment  that can bring significant economic savings associated.

Note: the header image is taken from the presentation of the Technical Conference GESTAR issued by the group in June of 2,013 EUPSH, Huesca (Spain)