From January 3rd to January 18th, a group of 26 students from Cornell travelled across Honduras under the guidance of Professor Monroe Weber-Shirk. Over two weeks, we drove through 9 of the country’s 18 departments, visiting a dozen water treatment plants, community health centers, and meeting the users of the water systems we studied. Our kind drivers put up with our antics while Drew Hart, a Cornell graduate and Engineer working in Honduras, and Antonio Elvir, a local Technician employed by Agua Para El Pueblo, directed and taught us about the country. During the month of February, we will be chronicling our adventures on the AguaClara blog with specific time devoted to our homestays, the people of Agua Para El Pueblo, the plants we visited, and what we all gained from the experience. We hope you enjoy our stories and we are able to communicate just a bit of this unforgettable experience.
31 January 2014
13 December 2013
Modeling Filter Performance and Standardizing Sand
The members of Stacked
Rapid Sand Filter Theory aim to develop a mathematical model for the performance
of the sand filter. This model will take input parameters like influent
turbidity and coagulant dosage and measure head loss, or the amount of energy
that will dissipate from the water. Flow rate is kept constant, and in order to
best simulate an actual sand filter with their laboratory model, the velocity
is also kept constant, at 1.8 millimeters per second.
Historically, SRSF Theory has been as much about empirics as about
theory. Previous semesters built a two-column filter in order to compare
surface with subsurface filtration. Surface filtration entails water entering
through the top of the filtration column, while subsurface filtration refers to
water entering through the side.
This semester, the team built a new model that features two
20-centimeter layers of filtration. Despite the difference between the
two-layer model used in the lab and the six-layer filter in the field, prior
calculations and considerations ensured that research results would translate
well. For example, tube sizes for the model were decided upon based on the
metrics taken from stacked rapid sand filters in Honduras.
The team also spent much of the semester implementing an algorithm for
Process Controller, the software that controls the pumps and measures
turbidity. The algorithm, called a proportional-integral-derivative controller,
measures error in a process and using data from past experiments, attempts to
correct it. In some of the earlier experiments, the influent turbidity
fluctuated slightly even when it was supposed to constant. The PID was applied
to mitigate any inaccuracies.
This semester’s goal is to collect data from experiments with
varying coagulant dosage and constant influent turbidity, measuring for
resulting head loss and effluent turbidity.
So far, AguaClara’s stacked rapid sand filters have made
appearances in both Honduras and India. However, while the design of the filter
remains similar despite geographical distances, the sand used almost surely
isn’t. For this reason, the Sand Source and Testing team seeks to develop a set
of standards for what sand can be used, and a set of a procedures for finding
out whether a sample is viable or not.
In India, they’re currently vetting sand samples based only
on size, and not on anything like acid solubility. This can pose a problem for
their sand filter, for example, if the sand they’re using contains limestone,
which dissolves in contact with water.
Tests for sand are gathered from various sources, from the
America Water Works Association to the American Society for Testing and
Materials, to AguaClara’s own internal guidelines. The team’s goal is to tailor
the myriad tests for sand not just to fit the needs of the stacked rapid sand
filter, but also so that operators anywhere in the world can easily conduct
them with the resources available in their setting.
The only real issue regarding the sand used in India is
solubility; given the current backwash velocity of AguaClara’s sand filters,
the margin of error in regards to the grain size of a sand sample are very
wide, and so the tests currently being use in Honduras and India are adequate
in that regard. Meghan and Rebecca’s research will provide operators with a
more precise method of not only measuring the size of sand, but it’s
solubility. Their results also indicate that as long as the sand is determined
to be insoluble, then it’s fairly likely that that sand is viable for use in
AguaClara plants.
11 December 2013
Improving Floc Formation for Cleaner Water
The Laminar Tube Flocculator’s current goals are based on a floc breakup theory by one of our former graduate students, Karen Swetland. Flocs are formed by unwanted particles sticking to each other to create unwanted masses in the water. These undesirable masses are then separated from the water later. Swetland's theory basically hypothesizes that when larger flocs are broken up during the flocculation process, they are given the opportunity to regrow and collect more particles, thereby resulting in a lower residual turbidity.
| The setup of the laminar tube flocculator team. The machines attached are called turbidimeters, and measure the influent and effluent turbidity. |
So far, they have found that having one clamp in the middle arrangement of the tubing does not reduce residual turbidity when compared to the base case data. Their next steps are to test with multiple clamps to see if breaking up flocs more frequently throughout the process will reduce residual turbidity.
| Lab-scale turbulent tube flocculator. Newly built! |
However, turbulent tube flocculation best describes the process of the actual plants in Honduras. This semester, the turbulent tube flocculator team was primarily concerned with building a scaled version of the flocculator based off of designs by the Summer 2013 team. However, they hope to, like the laminar tube floc team, test Karen Swetland’s floc breakup research. While Karen’s research was done with the laminar system in mind, turbulence may have some effects on flocculation that aren’t reflected in testing with its laminar counterpart.
Both research teams’ efforts are centered on achieving lower residual turbidity. Regardless of whether floc breakup will help them better achieve this end, the results of their research will have implications for how the full-scale flocculator will be designed.
04 December 2013
Creating Better Flocs Through Measurement and Mixing
A tool that
allows for the analysis of flocs would aid AguaClara’s current research significantly. Flocs are
the masses formed by particles in the water after having been dosed by
coagulant. Conclusions drawn from the analysis of these flocs for attributes
such as size distribution have implications especially for our laminar and
turbulent tube floc teams. For example, the laminar tube floc team is
currently working to see if breaking flocs up somewhere during the flocculation
process will create better flocs and thus cleaner water. A member of the AguaClara team, Tiago Viegas, is currently conducting research that will hopefully allow them to analyze the results of their experiments more precisely.
Tiago’s
design for the floc size measurement tool consists of a square tube called the
flow cell, and a camera. The flow cell’s square shape is meant to minimize
distortion. The camera, specially suited for capturing accurate images of the
flocs, will provide high-quality images from which we will be able to obtain information about flocs in a variety of different situations. With these
images, for example, we would be able to find the most efficient floc size
distribution by feeding the sedimentation tank with different distributions and
analyzing each one accordingly.
For analysis
of the images, it was determined that LabVIEW would be best for managing the
images and data provided by the tool’s measurements.
We’re
currently looking to find the most suitable camera for the job, and we’re also
working with a glassworks company to create a flow cell with dimensions that match the pipes of our flocculators.
Integral to the floc formation that Tiago’s tool will
analyze, however, is our coagulant, polyaluminum chloride, otherwise known as
PACl. PACl is delivered to raw water through the stock tank. As of right now,
PACl is distributed to the raw water and stirred manually. While this method is
acceptable, the coagulant sometimes isn’t evenly distributed throughout. Alyx Cheng and Apoorv Gupta of our Stock Tank Mixing subteam are trying to devise a method for mixing the two that will ensure
even distribution of PACl.
Much of the team’s past work has been empirical; Alyx
and Apoorv are working off a system built in past semesters. This semester,
however, they’re more concerned with the theory and calculations behind the
mixing. They’ve been able to find a uniform relationship between density and
concentration of PACl with the help of a hydrometer, a tool used to measure the
density of a given solution.
One of their main challenges this semester is to determine the relationship between pump speed and life height of the coagulant,
taking into consideration watts of power of the human arm, potential energy,
and drag force. Through their calculations so far, the team has discovered large
discrepancies between their theory and their lab results concerning the
relationship between energy used and lift height.
The continuous lines on the left-hand side of the graph above show the relationship between the two variables yielded through calculations, while the plots on the right show the results of actual experimentation. The baffle denoted in the legend refers to a slab of plastic that was installed in the stock tank in an attempt to make the system more efficient.
Thanks to the baffle, the team was able to conclude that the error was not just the result of an accident during testing.
| A diagram denoting the variables used in calculations. |
The main issue now is that while their experimental results are consistent with each other, they're not consistent with the theoretical calculations. In order to resolve this, the team is working to make their
model stock tank as efficient as possible. Design changes include the addition
of a t-joint to stabilize the pump at the bottom and planks to stabilize it at
the top. The direction of the output of the coagulant was also changed.
All calculations are made to ensure that any results yielded
from their model will translate well to the larger sized version used in the
field. Their most important goal right now is to determine the relationship
between total power required and flow rate of solution out of the arm, as that
will reveal the ideal distribution of the coagulant.
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