JEA is the water, wastewater and electric utility provider in Jacksonville, Florida. JEA has developed a
system to substantially improve water system operations by changing the operating mode from reacting to
consumption, to proactively planning for forecasted demands. This system, called an Operations
Optimization System, utilizes a supervisory control and data acquisition (SCADA) system and data collected from a number of other sources to
minimize cost and improve the operating performance of the entire water system. This system manages
JEA's consumptive use of a regional aquifer, controls and monitors water quality in real-time, maximizes
the value of energy for JEA's electric utility and maximizes the existing capacity of water system assets
to defer or eliminate the capital cost for new infrastructure. This project is unique because it is a
comprehensive approach to operations optimization. The approach includes an accelerated software
development cycle, the use of advanced and proven software solution techniques from other industries, and
maximum utilization of existing SCADA system assets.
JEA is using a real-time modeling and reasoning technology platform to deploy this application. The
modeling-based techniques used in this application include neural networks, constraint-based
optimization applications, and hydraulic and mass-balance water distribution simulation models. The
reasoning engine platform also provides an advising and control automation mode that inputs optimized
pumping schedules directly to the existing SCADA system. The application design involves developing
various modular components that integrate to solve optimization problems and to meet the operating
strategies and objectives of JEA.
The System components are configured together to automatically develop an optimized daily operating
schedule and start and stop remotely-controllable pumps and valves in the water system based on the
schedule and time of day. Data from the SCADA system is checked and filtered by the Data Quality
Module. The Water Consumption Forecaster provides hourly forecasted consumption for operating areas
within the water system called sub-grids. The Water Quality Analyzer generates water quality operating
parameters and alarms based on sensor data from the SCADA system and a number of other external
sources in alignment with JEA's Consumptive Use Permit (CUP). The Equipment Clearance Report
provides information on scheduled maintenance activities (equipment clearances) affecting system
operations.
An integral component of the optimized solution is the Water System Simulator that uses mass balance and simplified hydraulic network modeling techniques to forecast
distribution system variables using SCADA data. The Water System Simulator takes as input the
pump/valve control schedule developed by System Scheduler and determines if all operating constraints
(e.g., reservoir levels and pressures) are satisfied. The Water System Simulator generates reports and
graphical trends that define and illustrate predicted performance of the daily operating plan.
Prior to approving the daily plan for operations, the Operations Planner and Scheduler (OPS) reviews information provided by all Operations
Optimization applications. The OPS keeps all applications in calibration. Operation of the water system
changes over time as equipment is taken in and out of service, consumption patterns change, and new
facilities are placed into service. The Optimization Monitor continuously monitors conformance to the
optimized daily operating plan.
This paper presents JEA's Operations Optimization System and experience in the accelerated software
development process, model calibration, system start-up, and daily operation. This project is a co-funded
tailored collaboration project with AwwaRF and the St. John's River Water Management District called
"Operations Optimization - Development, Calibration, and Operations Integration Experience for the
Water Utility In
| Edition : | Vol. - No. |
| File Size : | 1
file
, 680 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 12 |
| Published : | 06/17/2004 |
