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6.1 Conclusions

ο‚· Model assumptions:

o The reservoirs are controlled by a bang-bang control philosophy with upper and lower limits at 80% and 20% of the total tank volume respectively.

o Random asynchronous reservoir intakes constitute β€œNormal Operation”

o The reservoir draws from the trunk mains can be represented by binary characteristic flows that are unaffected by the pressure within the trunk mains o The trunk main’s pressure calculation accuracy would not be significantly impacted by simplifying the calculation sequence by decoupling the trunk mains pressure profiles from the offtake pressure profiles (calculated fixed characteristic flows for when reservoir draws switch on)

o The trunk main pipeline portion between the two BPTs is similar, in terms of its per kilometre line resistance, to the portion from the Umlaas Road reservoir to the AD BPT

o The EPANET model results (residual pressure) will correspond closely to the fitted characteristics of Western Aqueduct system

o A regression type calculation, using a fitted flow coefficient (π‘˜), would accurately represent both pipeline portions

o Sleeve valves will fail in their fully open positions during power outages o A combination of both the Joukowsky equation and the Newton’s II would

enable a reasonable, critical estimation of the waterhammer overpressures in the Western Aqueduct system

ο‚· The model can be further customised by updating the following:

o Consumer demand (diurnal) pattern o Reservoir characteristic flows o Reservoir control strategies

142 o Data used to obtain the fitted flow coefficient (π‘˜), upon commissioning of the

WA.

6.1.1 Control 1.0

Control 1.0 (original) consists of several sub-regions at whose (BPT level) boundaries, valve positions are specified. Lower BPT levels allow for higher flow, by successive openings of the valves (see Section 3.3.2).

ο‚· The control system acts as a localized bang-bang system. An oscillatory settling level is thus formed at a sub-region boundary of the control system.

o The settling level is dynamic. The sub-region boundary that it will be formed at is determined by the magnitude of the demand (outlet) flow. Large demand flows necessitate lower settling levels (higher inflows due to opening of valves).

ο‚· The original design (Control 1.0) is adequate to cope with normal operational conditions in 2036. The following risks are nonetheless existent

o The maximum system throughput is 8.5 π‘š3

𝑠 (734.4𝑀ℓ

π‘‘π‘Žπ‘¦) greatly exceeds the normal maximum design throughput (400𝑀ℓ

π‘‘π‘Žπ‘¦). This could prove disastrous in the event of pipe ruptures, particularly on the trunk main lines.

o The settling level of the BPTs, until well beyond 2100, is above the design normal operating level (NOL). The settling level resides within the upper 20%

of the BPTs, thus presenting an overflow risk.

o The globe valves are assigned a duty during normal operation (other than power loss scenarios). This is a departure from the intent of the design, and could result in a valve-maintenance issue.

o Valve oscillations (globe valves and sleeve valves) are prevalent, due to the structure of the control system – this presents a maintenance risk.

o The globe valve movements are too delayed to be able to individually assume flow control duties upon the loss of electrical power. Due to this delayed movements, the globe valves maintain the BPT level at 8.0 m (100%) for any demand (outlet) flowrate. This represents an overflow risk, particularly when power is restored.

143 o Large flow variations (triple step test – cease all demands) cause the BPT

levels to breach the 100% (8.0 m) level. This represents an overflow risk.

ο‚· High waterhammer overpressures (~8 bar) are predicted by the Joukowsky equation and the steel pipe analogy. Although these methods are inaccurate, the magnitude of the predictions (>40% of design pressure) is reason for concern.

ο‚· The AD BPT is less robust than the WR BPT due to the series arrangement of the BPTs. The WR BPT thus always leads the AD BPT.

ο‚· Based on the forecasted y/y consumer demand growth factors, the AD BPT is expected to be unable to meet demand in the year 2110, and the WR BPT in 2154.

ο‚· The WA is able to cope adequately with all connected reservoirs drawing simultaneously (maximum forecasted demand on the WA).

ο‚· Simultaneous single BPT compartment maintenance affects the performance of the WA minimally, by increasing the sensitivity of the BPT level to downstream demand variations.

o Normal operation with one BPT compartment in the AD BPT and WR BPT can be considered

ο‚· The WA is able to sustain its performance when simultaneous single and double sleeve valve maintenance is carried out in both BPTs.

o Due to the series arrangement of the BPTs however, the AD BPT will fail if two sleeve valves are out of service only in the AD BPT (only if all valves in WR are active), and elevated demands are encountered downstream (Scenario 7.4d). The reverse is does not hold for WR.

o The WA is better suited (in terms of the maximum design throughput and NOL) to be operated with just two sleeve valves active on each BPT.

6.1.2 Control 2.0

Control 2.0 (2016) is a revised control philosophy uses a true deadband. No valve movements are specified within the deadband zone (between 3.5 m and 4.0 m). Above the upper deadband limit (4.0 m), the highest position sleeve valve is prompted to close 5% (or 25% if moving to 0% from 25% or vice versa). The opposite holds true when the level falls below 3.5 m. Globe valves only intervene above the high-high (8.3 m) level (see Section 3.3.3).

ο‚· The revised control system (Control 2.0) is more robust and provides better control of the WA

144 o It eliminates the oscillatory settling levels and the accompanying valve

oscillations and maintenance concerns

o The NOL is better adhered to, resulting in a lower overflow risk

o A decreased number of valve movements are commanded, thus decreasing maintenance requirements on the valves

o It is however susceptible to overflows due to the slowed valve responses.

ο‚· An overflow risk is present if the initial conditions for Scenario 0x (BPTs 70% full, all valves fully open) are encountered. The overall susceptibility of the WA with Control 2.0, is less than that of the WA with Control 1.0. This is due to the improved ability of the WA to maintain the 50% NOL with Control 2.0.

6.2 Recommendations

ο‚· Adopt the revised control system for implementation

ο‚· Install automated override controls to prevent operation at maximum throughput in the event of trunk main ruptures.

ο‚· The possibility of using just two sleeve valves at the entrance of each BPT, during normal operation, should be considered.

ο‚· The k-parameter (fitted pipeline flow coefficient) should be revised to use measured data upon the commissioning of the WA, as it greatly affects the predicted performance of the model

ο‚· Reservoir draw schedules should be measured accurately, and updated as they greatly affect the simulation results.

ο‚· Valve duties should be alternated to avoid excessive wear on active valves

ο‚· Detailed surge analyses should be carried out, as the results of the preliminary tests are deemed to be a concern

ο‚· The possibility of increasing the movement rate of the globe valves (Control 1.0), decreasing the high-high level (globe valves intervention level – Control 2.0) and increasing the sleeve valve movement per 30s (5% - Control 2.0) should be considered in tandem with the results of the detailed surge analysis.

ο‚· The possibility of decreasing the inlet resistance to the AD BPT should be considered, in order to decrease the susceptibility of the AD BPT to downstream demands. This could aid in speeding up the response of the AD BPT level to downstream demand fluctuations, by increasing the achievable inlet flowrate.

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ο‚· Revise the high-high level, at which the globe valves intervene (both control systems).

The current settings do not allow the globe valves adequate time to prevent overflows under specific stressed conditions (BPT 50% full with all valves fully open).

ο‚· SOPs should be constructed using the results presented above. This includes operator duties for power outages (e.g. adjust the sleeve valve position to x% by turning the hand-wheels etc.), and emergency preparedness training (wildfires etc.). Maintenance schedules can also be tested through simulations.

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