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Session 12A: Collection & Conveyance
8:00am - 8:45am
Pump Station Systems Design – How they can vary by Agency
Building on the popular 2019 presentation on pump system curve and pump selection, this presentation will delve into each pump station system, breaking down the wet wells, valving, power service, backup power, pump drives, level sensors, odor control, force mains, and pigging stations. This discussion will be supported by case studies, tying together the lessoned learned for design criteria, material or technology options, reliability and redundancy, permitting, and easement acquisition considerations. Understand Clark Regional Wastewater District and other local agency policy considerations on redundancy, odor control, force main pigging, or control strategy for facilities of varying size and complexity. Attendees will gain an understanding of fundamentals for pump station systems operations and design considerations. Case studies from local agency facilities will be presented to provide real world examples.
8:45am - 9:30am
How the COVID-19 Challenge Illuminated Opportunity Transformational Change With Collection System Maintenance
ADS Environmental Services, United States of America; firstname.lastname@example.org
COVID-19 (CV19) brought historic disruption to our lives and work. At the onset, wastewater collection systems operations faced exceptional maintenance and safety challenges.
Utilities implemented staff rotations attempting to limit person-to-person contact. Yet, these measures reduced maintenance capacity, affecting essential routines such as cleaning. Adding more stress, sewer-unfriendly objects started to appear in collection systems including “flushable wipes”, face masks and latex gloves. As a result, there was an increase of blockages, SSOs and fouled pumps.
Seeking relief, 83 US utilities leveraged existing flow and level monitoring networks adding new, predictive software for early stage blockage detection. This Internet of Things (IoT) architecture, captured and sent data to cloud-based software where, using machine learning-based analytics, early-stage blockages were identified predictively. Utilities gained weeks-worth of advanced notice enabling them to prioritize their limited O&M resources.
From April to October 2020, 53% of these utilities received at least one notification of a developing blockage. Additionally, none of the monitored sites had SSOs during that time.
Beyond SSO prevention, some utilities creatively applied this predictive IoT technology to determine when to clean. They hypothesized that scheduled cleaning, without the knowledge of actual site conditions, can result in cleaning already clean pipes. To gain site-condition information, utilities used IoT technology to determine when to clean. Three case studies demonstrate how IoT enabled transformational change in the face of sever pandemic-induced challenges. The studies document cleaning reductions of 80% to 87% and with zero SSOs.
These results strongly support the case for employing IoT-based cleaning protocols to fill O&M resource gaps, such as were caused by the pandemic. Furthermore, the results of these studies highlight the opportunity to meet challenges from any circumstance where O&M resources are constrained with the benefit being greater efficiency and lower organizational stress.