Replacement of wastewater equipment is usually assumed to be a function of its structural and mechanical condition. Often, age is the sole criteria for replacement, which may lead to non-optimum replacement schedules when equipment is otherwise in sound condition and performing adequately. Conversely, equipment in severe service may require replacement well before a standard service life expectation has been reached because its condition may degrade rapidly. In addition to the ability of the equipment to operate (its condition), replacement must also take into account performance factors such as capacity relative to demand, reliability in service, operator and public safety, technological obsolescence, and the cost of operation and maintenance. Managers rarely have the data at their fingertips to make optimum replacement decisions taking all the above factors into account. Recognizing this need, the County of Maui engaged Brown and Caldwell to develop a tool to help capital and maintenance program managers make the decision to replace or renew equipment using a formalized assessment of both condition and performance. This tool is assisting the County to develop an equipment replacement schedule as required under a Consent Decree from the USEPA. Condition and performance grades are assigned by reviewing maintenance history, capacity relative to design and demand projections, safety standards, customer and regulatory agency expectations, the availability of spare parts, O&M costs, and other factors. The tool uses grades assigned by the user, the age of the equipment, standard industry expectation of service life adjusted by actuarial expectations, and the percentage of time the equipment is actually operating to compute the remaining useful life of specific equipment items. The computed schedule of replacement or major renewal is displayed for all items assessed.
Recent Papers and Reports
- Selective dysprosium/terbium recovery from mine waste using ion-specific alkali/urea chitosan hydrogels
- Enhancing Drinking Water Treatment Resilience to Wildfire Events
- AI Adoption Guide for Water and Wastewater Utilities
- Per- and polyfluoroalkyl substances in untreated and treated sludge/biosolids from 27 water resource recovery facilities across the United States and Canada
- Vacuum evaporation coupled with anaerobic digestion for process intensification and ammonia recovery: Model development, validation and scenario analysis
- Microplastics from different viewpoints
- Using Artificial Intelligence and Machine Learning Operations in the Water Industry
- Multi-class machine learning classification of PFAS in environmental water samples: a blinded test of performance on unknowns
- Kinetics of chlorine and chloramine reactions in reverse osmosis permeate and their impact on radical formation during UV/chlorine advanced oxidation for potable reuse
- Development of an innovative technology using side stream vacuum evaporation for anaerobic digestion intensification and ammonia recovery