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May 24, Analysis of The Daily Reports Submissions

Date
Status

May 24, Analysis of The Daily Reports Submissions

Objective:

To address and resolve the issues related to the underperformance of the STP plant and ensure it operates efficiently to meet the design capacity of 750 m³/day.

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1. Review of May 2024 Performance Data
  • Max TSE Output: 479 m³ (May 1)
  • Min TSE Output: 345 m³ (May 19)
  • Average TSE Output: 431.26 m³
  • Shortage Days: May 14, 19, 20, 22, 26
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Initial Review and Analysis

Overview:

  • Objective: Ensure the plant operates efficiently, meeting the design capacity and maintaining high treatment quality.
  • Findings: The TSE water output consistently fell below the design capacity of 750 m³/day, with an average output of 431.26 m³/day and several days of significant shortages.

Key Metrics and Observations:

  • Max TSE Output: 479 m³
  • Min TSE Output: 345 m³
  • Average TSE Output: 431.26 m³
  • Shortage Days: May 14, 19, 20, 22, 26
2. Key Point

Key Findings and Discrepancies:

  1. Design Capacity vs. Actual Production:
    • The design capacity of the STP plant is 750 m³/day.
    • The actual daily TSE water production consistently falls short of this capacity.
    • The average TSE output for May 2024 is 431.26 m³/day.
  2. Maximum and Minimum TSE Output:
    • Maximum TSE Output: 479 m³ on May 1, 2024.
    • Minimum TSE Output: 345 m³ on May 19, 2024.
  3. Shortage Days and Shutdowns:
    • Days with significant shortages include May 14, 19, 20, 22, and 26.
    • Shutdowns occurred on May 14 and 19 due to effluent issues.
  4. Inconsistent Inflow and Operational Issues:
    • Significant fluctuations in the daily inflow data, especially around mid-May, impact TSE water output.
    • There is higher variability in MBR-2 treated water output compared to MBR-1.
    • Stream 1 consistently produces higher volumes than Stream 2.
    • Maintenance and cleaning were conducted for MBR-1, but not for MBR-2, with no explanation provided to date. The given deadline was the 7th of March 2024, as specified by your team.
  5. Impact of Shutdown Days:
    • Data is missing for several days, specifically on May 3 and at the end of May (May 28-31), which hinders a complete analysis.

Root Causes

Inflow Variability

  • Significant fluctuations were noticed in the daily inflow data of the STP plant, especially around mid-May, necessitating further investigation.
  • Analyzing the correlation between these inflow patterns and the Treated Sewage Effluent (TSE) water output is crucial for optimizing plant efficiency.
  • Review the daily inflow data to identify any significant fluctuations.
  • Correlate the inflow patterns with the TSE water output to understand their impact on the output efficiency.
  • There are days when the inlet sewage volume significantly fluctuates, especially around mid-May, which might need further investigation.
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MBR-1 and MBR-2 Treated Water Over Time
MBR-1 and MBR-2 Treated Water Over Time
Expected Tanker Volume Over Time
Expected Tanker Volume Over Time

Operational Practices

  • Take Action: Review Daily Operational Logs for Signs of Inefficiency:
    • Scrutinize the operational logs, noting any departures from the standard operating procedures.
    • Detect and document any patterns or recurring issues in the daily logs that could suggest inefficiencies or errors.

Equipment Performance

  • Assess the Condition and Performance of Critical Equipment:
    • Evaluate the performance data for key equipment such as pumps, blowers, and membranes.
    • Check for any reported issues or maintenance logs indicating equipment failures or suboptimal performance.
Influent Flow Rate Over Time
Influent Flow Rate Over Time
Daily Average Treated Water Over Time
Daily Average Treated Water Over Time

Muscat Bay STP Plant Daily Report : May 24.

DateTSE Water Output (m�)Inlet Sewage Volume (m�)Production - Stream 1 (m�)Production - Stream 2 (m�)MBR-1 Treated Water (m³/hr)MBR-2 Treated Water (m³/hr)Influent Flow Rate (m³/hr)Number of Tankers DischargingExpected Tanker Volume (m�)pHMLSS (mg/L)
May 1, 2024
479
423
360
181
17.23
9.23
24.22
7
132
6.6
9500
May 2, 2024
483
513
377
183
16.9
9.25
24.25
9
170
6.9
9100
May 3, 2024
0
0
0
0
0
0
0
0
0
0
0
May 4, 2024
452
503
365
181
16.22
9.56
24.15
11
207
6.9
9000
May 5, 2024
452
503
371
186
17.21
9.25
24.25
10
180
6.6
9100
May 6, 2024
483
503
365
181
17.23
9.26
24.63
9
170
7
9000
May 7, 2024
462
391
371
186
22
18
20
10
180
6.6
9100
May 8, 2024
469
460
374
195
17.2
9.23
24.25
9
170
6.6
9150
May 9, 2024
410
427
333
146
16.23
9.25
24.55
9
170
6.6
9200
May 10, 2024
410
425
325
164
17.21
9.25
24.55
10
190
7.01
9250
May 11, 2024
443
517
365
181
17.55
8.9
24.56
12
226
7
9300
May 12, 2024
454
450
366
177
17.12
9.32
25.17
8
151
7.01
9300
May 13, 2024
468
433
365
181
16.98
9.52
24.55
9
170
6.8
9250
May 14, 2024
382
396
304
154
16.44
8.65
25.23
7
132
6.9
9350
May 15, 2024
403
388
318
162
17.21
9.56
25.25
8
151
6.6
9000
May 16, 2024
432
432
340
175
17.85
9.12
24.56
9
170
7
9000
May 17, 2024
433
505
348
178
16.56
9.5
24.55
11
207
6.6
9050
May 18, 2024
466
453
371
184
17.16
9.25
25.2
9
170
7.01
9050
May 19, 2024
345
382
323
161
17.16
9.25
25.2
9
170
7
9100
May 20, 2024
369
346
244
126
17.16
9.25
25.2
6
113
6.7
9200
May 21, 2024
426
465
336
173
17.16
9.25
25.2
10
190
7.1
9200
May 22, 2024
376
392
314
157
17.16
9.25
25.2
9
170
7
9200
May 23, 2024
457
493
363
206
17.16
9.25
25.2
12
226
7
9250
May 24, 2024
462
429
368
159
17.16
9.25
25.2
11
207
7
9250
May 25, 2024
445
487
363
174
17.16
9.25
25.2
11
207
7
9250
May 26, 2024
358
378
299
140
17.16
9.25
25.2
9
170
6.8
9250
May 27, 2024
405
454
313
161
17.16
9.25
25.2
11
237
7.01
9000

Missing Reports and Parameters

  • Missing Reports: May 3, May 28, May 29, and May 30.
  • Dates with Missing Parameters:
    • May 3: All parameters are missing.
    • May 28, May 29, May 30: All parameters are missing.
    • Other dates: Various parameters have missing values, which need to be addressed for comprehensive analysis.
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  • To Determine why the reports for the specified dates are missing.
  • Implement a process to ensure daily reports are consistently submitted.
  • Why certain parameters are missing on specific dates.
  • Why not all necessary data is collected daily to avoid gaps in reporting

Action required:

  • Include Maintenance Logs: Ensure maintenance activities are logged and included in daily reports.
  • Detailed Shutdown Analysis: Document the reasons for any shutdowns and their frequency to identify improvement areas.

Detailed Insights, Observations, and Analysis for Muscat Bay STP Plant

Overview

The Muscat Bay Sewage Treatment Plant (STP) utilizes Membrane Bioreactor (MBR) technology with a design capacity of 750 m³/day and a design flow rate of 31.25 m³/hr. Our analysis focuses on identifying discrepancies between actual and design performance, pinpointing operational inefficiencies, and providing recommendations to enhance overall system efficiency.

Key Observations and Insights

1. Production Metrics

Design Capacity: 750 m³/dayDesign Flow Rate: 31.25 m³/hr

Observations:

  • The plant's total production consistently falls short of the design capacity.
  • Significant daily variability in production volumes, with values ranging from 345 m³ to 483 m³ per day.
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Example Data:
  • May 1, 2024: 479 m³
  • May 2, 2024: 483 m³
  • May 4, 2024: 452 m³

Analysis:

  • The discrepancy between actual production and design capacity suggests operational inefficiencies and potential bottlenecks within the treatment process.
  • Variability in inlet sewage volume and flow rates may contribute to inconsistent production.

2. Inlet Sewage Volume & Flow Rate Measurements

Design Flow Rate: 31.25 m³/hr

Observations:

  • Inlet sewage volumes fluctuate significantly, impacting the plant's ability to maintain steady production rates.
  • Recorded inlet sewage volumes range from 345 m³ to 513 m³ per day.
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Example Data:
  • May 1, 2024: 423 m³
  • May 2, 2024: 513 m³
  • May 4, 2024: 503 m³

Analysis:

  • The plant's performance is heavily dependent on the consistency of sewage inflow. Fluctuations in the inlet sewage volume can disrupt the treatment process and lead to suboptimal performance.
  • Strategies to balance the inflow, such as equalization tanks or inflow control systems, should be considered.

3. Flow Rate Measurements

Design Flow Rate: 31.25 m³/hr for MBR-1 and MBR-2

Observations:

  • Treated water flow rates for MBR-1 and MBR-2 show variability, affecting overall system stability and output.
  • Recorded values demonstrate significant deviations from design specifications.
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Example Data:
  • MBR-1 Treated Water (May 1, 2024): 17.23 m³/hr
  • MBR-1 Treated Water (May 2, 2024): 16.90 m³/hr
  • MBR-2 Treated Water (May 1, 2024): 9.23 m³/hr
  • MBR-2 Treated Water (May 2, 2024): 9.25 m³/hr

Analysis:

  • The observed flow rates indicate potential issues with membrane performance or fouling. Regular maintenance and cleaning of membranes are crucial to maintain optimal flow rates.
  • Implementing real-time monitoring and control systems can help maintain consistent flow rates and improve overall efficiency.

4. Chemical and Physical Parameters

Key Parameters: COD, pH, MLSS

Observations:

  • COD levels, pH, and MLSS are reported but show occasional inconsistencies and missing values.
  • Maintaining these parameters within optimal ranges is critical for effective treatment and regulatory compliance.
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Example Data:
  • pH (May 1, 2024): 6.6
  • MLSS (May 1, 2024): 9500 mg/L
  • COD levels: Regularly monitored but specific values not consistently reported.

Analysis:

  • Regular calibration of sensors and analytical instruments is essential for accurate data collection and process control.
  • Inconsistent reporting and occasional deviations from optimal ranges suggest the need for improved monitoring and control.
  1. Plant Shutdowns
  • The plant experiences shutdowns primarily due to low water levels in the equalization tank.
  • Maintenance logs are not consistently included in the daily reports, hindering comprehensive analysis.
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Example Incident:
  • May 14, 2024: Shutdown at 2.40 am due to low equalization tank water level; plant restarted at 6.00 am.

Analysis:

  • The frequent shutdowns due to low water levels indicate a need for improved water level monitoring and control mechanisms.
  • Comprehensive maintenance logs should be included in daily reports to track the impact of maintenance activities on plant performance

Suggestions

  1. Inflow Management:
    • Use advanced systems for balance and equalization tanks for buffering.
  2. Membrane Performance:
    • Regular maintenance and exploration of advanced technologies for efficiency.
  3. Monitoring and Reporting:
    • Real-time systems for critical data and comprehensive daily reporting.
  4. Maintenance:
    • Robust preventive schedule and predictive tools to avoid issues.
  5. Benchmarking and Compliance:
    • Measure against MBR technology benchmarks and ensure regulatory compliance.

Action

  1. Address Missing Reports:
    • Investigate reasons for missing reports on May 3, 28, 29, and 30.
    • Ensure that reports are consistently submitted daily.
  2. Detailed Shutdown Analysis:
    • Include detailed shutdown logs in the reports.
    • Analyze shutdown data to identify patterns and implement preventive measures.
  3. Benchmarking Standards:
    • Compare the plant's performance against international benchmarks for MBR technology with a capacity of 750 m³/day.
    • Standards to consider include effluent quality parameters (COD, pH, MLSS) and operational efficiency metrics.
  4. Include Maintenance Logs:
    • Dedicated sections in daily reports for maintenance activities.
    • Log all maintenance work with detailed descriptions and impacts on operations.
  5. Enhance Reporting Process:
    • Implement Automation: Use automated data collection and reporting tools to reduce manual errors.
    • Validation Checks: Regular checks to ensure completeness and accuracy of the reports.