Water Distribution Optimization: Taking SCADA One Step Forward: A Case Study PowerPoint PPT Presentation

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Title: Water Distribution Optimization: Taking SCADA One Step Forward: A Case Study


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Water Distribution Optimization Taking SCADA One
Step Forward A Case Study
Chuck Weber - WaterOne Simon Bunn Derceto Inc
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1950s 1970s Control room
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PLC and RTU provide local control
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1970s Mixed auto/manual systems
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1980s SCADA systems appear
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1990s Historical Databases arrive
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1990-2000 Smart Instruments arrive
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  • WaterOne is a quasi-municipal agency that
    provides water to more than 400,000 individuals
  • WaterOne serves residential and commercial
    accounts in 16 cities in the Johnson County area.
    WaterOne serves approximately 135,000 customers.
  • WaterOne has nearly 3,000 miles of transmission
    and distribution mains, equal to the distance
    from Kansas City to Seattle.
  • WaterOne's service area covers more than 270
    square miles.
  • WaterOnes current treatment capacity is 180
    millions gallons per day. 

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Modern UCOS Scada System
  • Single control room for treatment and
    distribution
  • Installed in 1991, upgraded 2006

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What next after Scada?
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Decision Support Systems
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What to optimize?
  • Energy cost minimization is a good target, as it
    is one of the highest costs in producing the
    next gallon of water.
  • "The more than 60,000 water systems and 15,000
    wastewater systems in the United States are among
    the countrys largest energy consumers, using
    about 75 billion kWh/yr nationally 3 percent of
    annual U.S. electricity consumption."Electric
    Power Research Institute, Energy Audit Manual
    for Water/Wastewater Facilities, (Palo Alto
    1999), Executive Summary.

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Electricity Use by WaterOne
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Energy and Demand Charges
  • Pricing is based on two components, energy use in
    kWh and demand in kW
  • Car Analogy for kWh and kW
  • kW is like the speed that is measured by a
    speedometer
  • kWh is the distance measured by the odometer

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Electricity Supply tariffs
  • Kansas City Power Light (KCPL)
  • Flat kWh tariff applies 24 hours day, 365 days
    year
  • Flat demand charge, 24 hours a day, 365 days year
  • Kansas City Board of Public Utilities (KCBPU)
  • Flat kWh tariff applies 24 hours day, 365 days
    year
  • Demand charge only applies 10 hours/weekday with
    monthly peak and 70 of highest summer peak
    setting winter charge (effectively a 12 month
    ratchet clause)
  • Almost no incentive at all for shifting
    electrical load
  • No options for time-of-use or real-time pricing
  • Last KCPL tariff structure changes were made10
    years ago
  • Market is unlikely to change or deregulate in the
    mid term

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Solving the energy equations
  • Numerically impossible to solve, but the
    following techniques have been attempted
  • Localized optimization at each pump station using
    profiling or time triggers
  • Expert Systems using cascading rules
  • Advanced techniques using Genetic Algorithms
  • Multi-Objective Polynomial Systems (MOPS)
  • Dynamic Programming with Stochastic analysis
  • All still make considerable assumptions and do
    not achieve optimality
  • A 2001 AWWA report said the market is waiting
    for an off-the-shelf solution

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A New Customized-Off-The-Shelf tool
  • Over the last 4 years, Derceto Aquadapt has
    implemented energy cost optimization systems with
    leading US water utilities
  • Five key cost reduction techniques were employed
  • Electrical load shifting in time, to maximize
    utilisation of low cost kWh tariff blocks
    (time-of-use tariffs)
  • Peak electricity kW demand reduction
  • Energy efficiency improvements from pumps and
    pumping plants.
  • Utilization of lowest production and chemical
    cost sources of water.
  • Utilization of shortest path between source and
    destination
  • WaterOne benefited primarily from peak demand
    reduction and lowest cost source selection

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Key Energy Management Modules
WaterOne UCOS SCADA System
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Project Timeline
  • Feasibility Study - June 2004 to August 2004
  • Detailed Design - September 2004 to April 2005
  • Configuration and Testing - July 2005 to Mar 2006
  • Delivery, Implementation and Site Testing -
    April/May 2006
  • Had to be ready in time for peak summer demand
    otherwise majority of savings would be lost for
    2006/07
  • WaterOne created and maintained an audit tool to
    measure savings on a monthly basis. This is a
    sophisticated analysis tool
  • Uses formulation of kW versus MGD from four
    previous years
  • Created non-linear functions to calculate kW at
    each major point
  • Allowed for changes in tariff in future years to
    be incorporated
  • Maintenance, Enhancement and Support contract
    started in June 2006 with latest Aquadapt version
    5.5 rolled out in 2008

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Peak Demand Reductions
5 MW Reduction
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Even after a major Pipe-break
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Results to date Electricity savings
  • First month of operation May 2006, saved 90,000
  • First year of operation May 06 to April 07 saved
    565,000
  • First six months of 2007/08 saved 553,000
  • Total of 1,118,000 saved in 18 months of
    operation
  • Reduced greenhouse gas emissions by 4800
    tons/year
  • Other impacts
  • Has required changes in operation, but no
    additional hardware or instrumentation was
    required
  • Operators were involved all the way through the
    process and had valid concerns which needed to be
    addressed
  • Ongoing program of training and product
    enhancement is helping culture change and
    acceptance
  • Aquadapt is now being used to identify areas
    where further savings can be made

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Conclusions
  • The considerable investment in a Scada system is
    often hard to justify financially, but it is an
    essential tool
  • Utilization of the data and interfaces presented
    by a Scada system in areas such as planning and
    operations optimization can provide additional
    financial benefits
  • Even in an energy market that looked unfriendly
    to energy optimization, significant benefits were
    achieved
  • Buying advanced software off-the-shelf reduces
    risk
  • Use robust systems to measure the benefits to
    avoid doubt
  • Operators need to be involved from start to
    finish, they know the treatment and distribution
    systems best
  • This is just one step in the path to operations
    optimization, keep an eye on costs and benefits
    in all areas to best serve your customers

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