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Demand Response:
   The KEY to a Competitive Facility

                   Phil Davis
Senior Manager, Demand Response Resource Center
                Schneider Electric
Energy costs will quadruple by 2030. Power Quality
will degrade. Global competition for fuel, tightening
  emissions requirements, and laws demanding
   renewable integration will place unimaginable
       pressure on a grid that is decades old.

Smart Grid can fix this, but no longer can we exist in
                      isolation.
What makes the Smart Grid Smart?

                       You Do


Smart Grid is Communications
between Utility and Customer
The Energy Dilemma
                             Sustainability and
                            Carbon Management
Growing pressure
                                                  Rising consumption
on infrastructure


Volatile Wholesale                                More ambitious
Energy costs                                      environmental goals



                                                  Fiercer global
Water shortages
                                                  competition



Tighter economic                                  Regulatory
pressure                     Complex sourcing     demands
                                 options



                  We need to solve these challenges
                       to make the difference!
Energy is a Management Challenge
Demand Response is a Management
             Solution
What Customers Look Like to Utilities
Pre 1990 Power Grid


Physical &
                     Generation      Transmission   Distribution
                                                    Distribution   Consumers
Transaction Flow

        Players    Utility

       Systems      Scada, Control Room (DMS), Outage Mgmt, Meter Data, Forecasting, CIS
The new Grid equation - detailed
                           drivers                                       accelerators
Growing electricity demand:                              New technology available
-new economies: demography,                              -information technology, cyber-security
 industrialization & urbanization                        -energy storage, power electronics…
-mature economies: peak management
-new consumption modes (eg electrical vehicles)
                                                        Active government & regulators:
                                                        -deregulation & opening of markets,
Need to reduce CO2 emissions:                            introduction of price transparency
-development of Renewable Energy sources                -need for security of supply & price stability
-focus on energy efficiency                             -increasing economic cost of blackouts
                                                        -stimulus packages, investment in electrical vehicles…

Constraints on existing networks:
-limited generation capacity
                                                         Active end-users:
                                                         -look for competitive prices
-limits on network extension
                                                         -want to contribute to CO2 emissions reduction
 (Not In My BackYard syndrome)
-aging infrastructure and assets                         -ready to play active role (control consumption,
-integration of intermittent & distributed generation    produce energy, drive electrical cars…)



                      making the smart grid happen
Post 2000 Smart Grid

 Physical Flow       Generation            Transmission          Distribution         Consumers

                         Genco             Transco                Utility            Marketer

       Players        Renewco                                                        DR Aggregators
                                           ISO
                      C&I Onsite
                                                                 Demand Management
Transaction Flow




      Systems        Scada, Control Room (DMS), Outage Mgmt, Meter Data, Forecasting, CIS   Upgraded


                 +    Energy Mgmt, Trading/Risk, Settlement, Billing, Scheduling, Portfolio Mgmt. Upgraded


                     +    Demand Mgmt., Customer EMS, NOC, AMI, Communication, BAS/Energy Controls
Different Regions, Different Goals
                                                 Smarter Grids
                                                                        Deregulation & Distributed
                       Transmission overload                            Generation
                       & aging infrastructure                           • Competition for supply
                       • Blackouts                                      • Integration of Renewable
                       • Critical peak situations                         Energy sources
                       • Price volatility                               • Increasingly constrained networks
                       • Cyber-security issues




                                                    Growing energy                        Growing energy demand
                                                                                          • Growing consumption
                                                    demand… and losses
                                                                                          • Transmission congestion
                                                    • Critical peak situations
                                                    • Energy theft                        • CO2 emissions

Distribution infrastructure
modernization
• Growing consumption
• Energy theft & losses
• Generation & Transmission
  modernization
Demand Response =
Comprehensive Energy Strategy
          ● Environment

          ● Procurement

          ● Reporting (SOX)

          ● Efficiency

          ● Safety

          ● Reliability

          ● Stability
Integrated Demand Response


                               Normal Process
                                                Procurement
Shut downs         Manual                       Coordination

                                                    Strategic

Unusual
                                                  Automated
Delayed
payments

                                                  Mid Stream
                                Sophisticated
           Little Feedback                        Storage
                                Algorithms
Tools: ISO 50001
Case study - Global Pharmaceutical Tech
                                                     Company
                                                 Plan Strategy
 Situation:
    Global pharmaceutical tech company wanted to
      cut energy costs in its facilities across 4 continents
    Needed an efficient way to involve a number of
      global facility-level personnel in the process
 Solution:
    Consumption Workshop, proprietary exercise to
      uncover strategies for reducing energy costs and usage
    Forum for plant personnel to collaborate with corporate leaders about key projects and
      strategies
    Employees from 16 facilities, including sites in France, Italy, Belgium, United Kingdom,
      Puerto Rico and the U.S., participated in the workshop.
 Results:
    Identified $2.6 million in energy savings during the Consumption Workshop, most of
      which could be realized with little or no capital investment.
    Savings represented 9% of the company’s total annual energy spend
    Collaboration among the facility teams for the first time
Case Study - Global Manufacturing
                                                Company
                                                                    How Do I Buy?
 Situation:
    Decentralized global manufacturer with 44 sites in 18 countries with each site handling
      energy management efforts independently
 Solution:
    Identified countries in the portfolio that offered greatest opportunities
    Reviewed risk management and tariff and sourcing options
    Large site in Singapore was about to enter into a new contract that would lock in
      electricity price that Summit team anticipated would go lower
    Recommended waiting to lock to take advantage of expected downward market
      movements that would save the company money
 Results:
    The company centralized its approach
    Corporate energy leader could make more informed
      hedging decisions across all 44 facilities.
    Singapore site lowered its long-term electricity costs,
      eliminating potential volatility, saving 10%
Case Study - Automotive Company
                                                   How Do I Control?


 Installed Enterprise Energy Management System (EEM)
     Smart energy monitoring resulted in:
        Cost savings
        Faster access to reporting
        Conservation initiatives

   Ongoing Measurement & Verification
     Measurement and Verification continues the
       lifecycle focus and leads Ford through
       revisiting their energy strategy
Case Study - Veolia, Indianapolis LLC
                                                          How Do I Optimize?

 Production process scheduling
     Install WAGES monitoring & control to forecast filter
       loadings and initiate backwashes to avoid peak
       utility demand periods
 Pumping system optimization
     Provide demand sub-metering and hydraulic
       modeling intelligence to optimize system for any
       given flow and pressure condition
 Install adjustable speed drives
     Control inefficient discharge valve control to maintain     Results
       system pressures and flows at desired levels             $764,630 annually
 Diesel driven pumping                                         3.2 year payback
     Install WAGES monitoring & control to monitor             6,818 kW
       critical parameters, remotely start/stop pumps during    12,458,300 kWh
       peak electrical periods to reduce utility charges        -3,690 dT
 On-site generation
     Fully monitor and automatically operate on-site
       diesel generators for peak efficiency
Case Study - Global Glass Manufacturer
                                How Am I Performing?

 Situation:
    One of the largest glass manufacturers in the world,
      producing 30 billion glass containers a year
    Needed help tackling its sustainability challenge
 Solution:
    With access to the company’s corporate-wide energy information, analyzed data
      to create GHG emissions baseline
    Developed GHG inventory by defining boundary conditions, outlining scope
      definitions upon verifiable data and auditable processes
 Results:
    The glass manufacturer could track and report on greenhouse gas emissions at
      both the site and enterprise levels.
    The company began to leverage emissions data from multiple streams and
      scopes, benchmark performance against baseline data, and maintain a database
      of sustainability project initiatives
    Gained an understanding of historical emissions data, used information for
      corporate sustainability benchmarks and initiatives
Strategic Improvement Roadmap


        Develop Energy Strategy
        •Determine corporate profile
        •Set goals & objectives


        Implement Reporting Program
        •Develop management plan
        •Establish measurement & reporting structure
        •Set baseline with third-party verification


        Evaluate Footprint & Prioritize Actions
        •Identify top demand sources
        •Commit to targets
        •Create performance metrics (KPIs)


        Implement Optimization Activities
        •Reduce (raw material, energy, water, waste)
        •Renew (renewable energy, recycle, treat & reuse)
        •Restore (offset impact, manage credits)


        Communicate Results & Performance
        •Voluntary / mandatory reporting
        •Internal communications
        •External communications
Demand Reduction Identification
                              Schneider Electric Energy Solutions Provided a Demand Reduction Plan for a large Iron Manufacturer
                                                                                               Estimated Thyssenkrupp/Waupaca Plant #5 Electric Load Breakdown
                                                                                                                           (kW)

                                                                                            7/8 Furnace Inductor , 840         Lighting, 300                                    Motors
                                                                                                                                                                                Dust Collectors
                                                                                      5/6 Furnace Inductor , 840
                                                                                                                                                                                Air Compressors
                                                                                  Transformer Losses, 1,106                               HVAC, 300
                                                                                                                                                                                Air Separation Plant
   Task: Find demand reduction measures after                                    Furnace #3 Inductors,                                        Misc, 200
                                                                                                                                                               Motors, 11,969   Furnace #1 Inductors
                                                                                         1,440
    a rate structure change increased monthly                                        Furnace #2 Inductors,
                                                                                                                                                                                Furnace #2 Inductors
                                                                                                                                                                                Furnace #3 Inductors
    electric costs                                                                          1,440
                                                                                                                                                                                Transformer Losses
                                                                                       Furnace #1 Inductors,
   Five demand reduction projects were                                                       1,440
                                                                                                                                                                                5/6 Furnace Inductor
                                                                                                                                                                                7/8 Furnace Inductor
    identified                                                                      Air Separation Plant, 1,600
                                                                                                                                                                                Lighting
                                                                                                                                           Dust Collectors, 3,758
        Demand savings are 3,500 kW                                                                  Air Compressors, 3,988
                                                                                                                                                                                HVAC
                                                                                                                                                                                Misc
        Electric savings are 15,141,360 kWh                                                                             WF Elelctric Demand Profiles
        Electric cost savings are $823,200 per year                                                                     Stacked Line Chart - May 2009

        Implementation cost is $710,700 with an
         estimated payback period of 0.9 years                                    30,000


   Detailed reporting that describes                                             25,000
        Existing demand profile, with analysis for the
         summer, winter, and shoulder months
                                                                                 20,000
                                                           Electric Demand (kW)



         Peak electric load breakdown
        Current rate schedule
        Estimate of demand curtailment hours                                     15,000
        Demand reduction measures with conceptual
         implementation methods and estimated costs
                                                                                 10,000
         Description of available rebates and incentives
        Additional opportunities for energy savings
                                                                                    5,000
   The detailed report utilized data from the
    enterprise metering system to complete the                                          0
    analysis                                                                            5/9/09                     5/11/09                 5/14/09                  5/16/09                5/19/09
Integration Potential




Power
                           Value proposition
Process
                      ONESite up capital for strategic investment by reducing
                            Freeing
             Site    Supervision
                           your energy use up to 30%
 IT        Manager
                            Safeguarding the assets that make your enterprise
                            successful
Facility
                            Reduce your total cost of ownership
Security
                            Enhance facility market value (5 to 10%)
Energy Monitoring
Energy Modeling provides a means to normalize usage and factor out the
                                  influences of weather and production
By meeting the IEA estimate of 16%
            chemical industry energy efficiency
          improvement by 2020, a major chemical
         company could lower its annual energy bill
             by $4.3 Billion vs. its 2008 spend1




1
    National Academy of Engineering, Potential of Energy Efficiency,
Information does change behavior:

                   6% just being available

As much as 30% when informed action is taken
Thank You




                   Phil Davis
Senior Manager, Demand Response Resource Center
                Schneider Electric

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Demand Response: The Key to a Competitive Facility

  • 1. Demand Response: The KEY to a Competitive Facility Phil Davis Senior Manager, Demand Response Resource Center Schneider Electric
  • 2. Energy costs will quadruple by 2030. Power Quality will degrade. Global competition for fuel, tightening emissions requirements, and laws demanding renewable integration will place unimaginable pressure on a grid that is decades old. Smart Grid can fix this, but no longer can we exist in isolation.
  • 3. What makes the Smart Grid Smart? You Do Smart Grid is Communications between Utility and Customer
  • 4. The Energy Dilemma Sustainability and Carbon Management Growing pressure Rising consumption on infrastructure Volatile Wholesale More ambitious Energy costs environmental goals Fiercer global Water shortages competition Tighter economic Regulatory pressure Complex sourcing demands options We need to solve these challenges to make the difference!
  • 5. Energy is a Management Challenge Demand Response is a Management Solution
  • 6. What Customers Look Like to Utilities
  • 7. Pre 1990 Power Grid Physical & Generation Transmission Distribution Distribution Consumers Transaction Flow Players Utility Systems Scada, Control Room (DMS), Outage Mgmt, Meter Data, Forecasting, CIS
  • 8. The new Grid equation - detailed drivers accelerators Growing electricity demand: New technology available -new economies: demography, -information technology, cyber-security industrialization & urbanization -energy storage, power electronics… -mature economies: peak management -new consumption modes (eg electrical vehicles) Active government & regulators: -deregulation & opening of markets, Need to reduce CO2 emissions: introduction of price transparency -development of Renewable Energy sources -need for security of supply & price stability -focus on energy efficiency -increasing economic cost of blackouts -stimulus packages, investment in electrical vehicles… Constraints on existing networks: -limited generation capacity Active end-users: -look for competitive prices -limits on network extension -want to contribute to CO2 emissions reduction (Not In My BackYard syndrome) -aging infrastructure and assets -ready to play active role (control consumption, -integration of intermittent & distributed generation produce energy, drive electrical cars…) making the smart grid happen
  • 9. Post 2000 Smart Grid Physical Flow Generation Transmission Distribution Consumers Genco Transco Utility Marketer Players Renewco DR Aggregators ISO C&I Onsite Demand Management Transaction Flow Systems Scada, Control Room (DMS), Outage Mgmt, Meter Data, Forecasting, CIS Upgraded + Energy Mgmt, Trading/Risk, Settlement, Billing, Scheduling, Portfolio Mgmt. Upgraded + Demand Mgmt., Customer EMS, NOC, AMI, Communication, BAS/Energy Controls
  • 10. Different Regions, Different Goals Smarter Grids Deregulation & Distributed Transmission overload Generation & aging infrastructure • Competition for supply • Blackouts • Integration of Renewable • Critical peak situations Energy sources • Price volatility • Increasingly constrained networks • Cyber-security issues Growing energy Growing energy demand • Growing consumption demand… and losses • Transmission congestion • Critical peak situations • Energy theft • CO2 emissions Distribution infrastructure modernization • Growing consumption • Energy theft & losses • Generation & Transmission modernization
  • 11. Demand Response = Comprehensive Energy Strategy ● Environment ● Procurement ● Reporting (SOX) ● Efficiency ● Safety ● Reliability ● Stability
  • 12. Integrated Demand Response Normal Process Procurement Shut downs Manual Coordination Strategic Unusual Automated Delayed payments Mid Stream Sophisticated Little Feedback Storage Algorithms
  • 14. Case study - Global Pharmaceutical Tech Company Plan Strategy  Situation:  Global pharmaceutical tech company wanted to cut energy costs in its facilities across 4 continents  Needed an efficient way to involve a number of global facility-level personnel in the process  Solution:  Consumption Workshop, proprietary exercise to uncover strategies for reducing energy costs and usage  Forum for plant personnel to collaborate with corporate leaders about key projects and strategies  Employees from 16 facilities, including sites in France, Italy, Belgium, United Kingdom, Puerto Rico and the U.S., participated in the workshop.  Results:  Identified $2.6 million in energy savings during the Consumption Workshop, most of which could be realized with little or no capital investment.  Savings represented 9% of the company’s total annual energy spend  Collaboration among the facility teams for the first time
  • 15. Case Study - Global Manufacturing Company How Do I Buy?  Situation:  Decentralized global manufacturer with 44 sites in 18 countries with each site handling energy management efforts independently  Solution:  Identified countries in the portfolio that offered greatest opportunities  Reviewed risk management and tariff and sourcing options  Large site in Singapore was about to enter into a new contract that would lock in electricity price that Summit team anticipated would go lower  Recommended waiting to lock to take advantage of expected downward market movements that would save the company money  Results:  The company centralized its approach  Corporate energy leader could make more informed hedging decisions across all 44 facilities.  Singapore site lowered its long-term electricity costs, eliminating potential volatility, saving 10%
  • 16. Case Study - Automotive Company How Do I Control?  Installed Enterprise Energy Management System (EEM)  Smart energy monitoring resulted in:  Cost savings  Faster access to reporting  Conservation initiatives  Ongoing Measurement & Verification  Measurement and Verification continues the lifecycle focus and leads Ford through revisiting their energy strategy
  • 17. Case Study - Veolia, Indianapolis LLC How Do I Optimize?  Production process scheduling  Install WAGES monitoring & control to forecast filter loadings and initiate backwashes to avoid peak utility demand periods  Pumping system optimization  Provide demand sub-metering and hydraulic modeling intelligence to optimize system for any given flow and pressure condition  Install adjustable speed drives  Control inefficient discharge valve control to maintain Results system pressures and flows at desired levels $764,630 annually  Diesel driven pumping 3.2 year payback  Install WAGES monitoring & control to monitor 6,818 kW critical parameters, remotely start/stop pumps during 12,458,300 kWh peak electrical periods to reduce utility charges -3,690 dT  On-site generation  Fully monitor and automatically operate on-site diesel generators for peak efficiency
  • 18. Case Study - Global Glass Manufacturer How Am I Performing?  Situation:  One of the largest glass manufacturers in the world, producing 30 billion glass containers a year  Needed help tackling its sustainability challenge  Solution:  With access to the company’s corporate-wide energy information, analyzed data to create GHG emissions baseline  Developed GHG inventory by defining boundary conditions, outlining scope definitions upon verifiable data and auditable processes  Results:  The glass manufacturer could track and report on greenhouse gas emissions at both the site and enterprise levels.  The company began to leverage emissions data from multiple streams and scopes, benchmark performance against baseline data, and maintain a database of sustainability project initiatives  Gained an understanding of historical emissions data, used information for corporate sustainability benchmarks and initiatives
  • 19. Strategic Improvement Roadmap Develop Energy Strategy •Determine corporate profile •Set goals & objectives Implement Reporting Program •Develop management plan •Establish measurement & reporting structure •Set baseline with third-party verification Evaluate Footprint & Prioritize Actions •Identify top demand sources •Commit to targets •Create performance metrics (KPIs) Implement Optimization Activities •Reduce (raw material, energy, water, waste) •Renew (renewable energy, recycle, treat & reuse) •Restore (offset impact, manage credits) Communicate Results & Performance •Voluntary / mandatory reporting •Internal communications •External communications
  • 20. Demand Reduction Identification Schneider Electric Energy Solutions Provided a Demand Reduction Plan for a large Iron Manufacturer Estimated Thyssenkrupp/Waupaca Plant #5 Electric Load Breakdown (kW) 7/8 Furnace Inductor , 840 Lighting, 300 Motors Dust Collectors 5/6 Furnace Inductor , 840 Air Compressors Transformer Losses, 1,106 HVAC, 300 Air Separation Plant  Task: Find demand reduction measures after Furnace #3 Inductors, Misc, 200 Motors, 11,969 Furnace #1 Inductors 1,440 a rate structure change increased monthly Furnace #2 Inductors, Furnace #2 Inductors Furnace #3 Inductors electric costs 1,440 Transformer Losses Furnace #1 Inductors,  Five demand reduction projects were 1,440 5/6 Furnace Inductor 7/8 Furnace Inductor identified Air Separation Plant, 1,600 Lighting Dust Collectors, 3,758  Demand savings are 3,500 kW Air Compressors, 3,988 HVAC Misc  Electric savings are 15,141,360 kWh WF Elelctric Demand Profiles  Electric cost savings are $823,200 per year Stacked Line Chart - May 2009  Implementation cost is $710,700 with an estimated payback period of 0.9 years 30,000  Detailed reporting that describes 25,000  Existing demand profile, with analysis for the summer, winter, and shoulder months  20,000 Electric Demand (kW) Peak electric load breakdown  Current rate schedule  Estimate of demand curtailment hours 15,000  Demand reduction measures with conceptual implementation methods and estimated costs  10,000 Description of available rebates and incentives  Additional opportunities for energy savings 5,000  The detailed report utilized data from the enterprise metering system to complete the 0 analysis 5/9/09 5/11/09 5/14/09 5/16/09 5/19/09
  • 21. Integration Potential Power Value proposition Process ONESite up capital for strategic investment by reducing Freeing Site Supervision your energy use up to 30% IT Manager  Safeguarding the assets that make your enterprise successful Facility  Reduce your total cost of ownership Security  Enhance facility market value (5 to 10%)
  • 22. Energy Monitoring Energy Modeling provides a means to normalize usage and factor out the influences of weather and production
  • 23. By meeting the IEA estimate of 16% chemical industry energy efficiency improvement by 2020, a major chemical company could lower its annual energy bill by $4.3 Billion vs. its 2008 spend1 1 National Academy of Engineering, Potential of Energy Efficiency,
  • 24. Information does change behavior: 6% just being available As much as 30% when informed action is taken
  • 25. Thank You Phil Davis Senior Manager, Demand Response Resource Center Schneider Electric

Editor's Notes

  1. Good afternoon. Demand Response, if you know it at all, is a controversial topic. “Let’s shut down our plant for money” seems to be the take away; and on that basis alone, managers decide whether to participate in programs or not. Until the last couple of years, this was a reasonable approach. Things are changing, and rapidly. If you’re not keeping up, you’re falling behind. Over the next 45 minutes, we will explore why.
  2. These are disturbing statements, if you believe them…and you should. In most developed nations, the grid has been a stable, reliable - and ignored – part of life’s infrastructure. However, our political leadership and regulators also view the grid as a common element that impacts us all, and therefore must be part of the solution to many of the problems we face today. New laws requiring renewables integration are clashing with an aging infrastructure left to decline both to keep costs down and because no one wants new infrastructure in their back yard. Emerging Smart Grid technology can be very effective in resolving these conflicts, but this is not passive technology.
  3. The traditional grid always has been “smart”. Backed by talented people and sophisticated models, our grid is the largest, most reliable machine ever conceived by man. Today, when we say “Smart Grid” we mean YOU. To solve tomorrow’s problems, we have to distribute grid intelligence further out the distribution system and even include some things going on behind the meter. “Behind the meter” is utility speak for customer – and again, that’s you. Some fun facts: electricity productions accounts for 40% of all our water consumption and fossil plants are can be major emitters. Clearly, smarter energy means better water and better air as well. The major consuming industries here in the US are water/waste water, IT (Date Centers), and collectively, all those gaming consoles your kids play with (and maybe you as well). Here in the US, those account for 1% of total energy consumption – 16gwh annually. Oh, and by the way, it’s very likely that your utility does not know when your power is out until someone calls it in. Only when outage levels rise significantly above the noise levels of normal demand fluctuations, do they suspect. But without a smart grid, they still may not know the problem area and can waster precious time looking for the fault. So when your power is out, call it in.
  4. Let’s peak behind the curtain and the orderly and calm lives of utility managers: Wholesale energy costs are highly volatile Water shortage concerns causing conservation to become priority Sustainability is key to customers, shareholders, media and employees Integrating energy efficiency into your company’s culture GHG intensity increased 5 percent in 2011 And… Regulatory demands are escalating Sourcing options are getting more complex Political and public pressure is mounting More internal & external parties demanding access to your energy data Reporting requirements are becoming more rigorous
  5. In light of this, it’s time to take a new look at Demand Response. It’s not what you think.
  6. While you may not think of your utility often, it thinks od you, a lot. This is what you look like to the control room of your local utility. The reds, whites and purples are hot spots shown on various utility systems. If your location is in one of these areas, you have a problem. Your facility is much more vulnerable to disruption and quality issues than are your neighbors in the quiet zones. Traditionally, demand response has been used in extreme cases to relieve these stress points. In the future, it will prevent them from ever occurring.
  7. This is our good old familiar grid. Calm, safe, reliable. Not much going on, and it just worked.
  8. Since about 2000, all the trends we’ve discussed have been accelerated by new technology, government and regulator policy changes, and newly aware and active energy consumers who want more than just electricity. This leads us to a world accelerating much more quickly than the traditional 10-15 year horizon utilities need for new generation and transmission assets.
  9. So now, our nice calm environment is broken apart. Where we once had integrated monopoly suppliers, now we have local distribution companies with independent generators and transmission on the supply side, and retail energy markets, demand response aggregators and a host of others on the demand side. This disrupts culture, business processes, customs, relationships, …literally everything about the way utilities operate. Managing in this environment requires more sophisticated systems and new links between them. It’s also added an historically unheard of element, Demand Management.
  10. The problems to be solved vary in different regions. The solutions look to be similar, though tweaked for local needs.
  11. Ultimately, Demand Response is synonymous with comprehensive energy strategy. It is the tool that unites many of the competing needs of your organizations, and brings coordination and true production efficiency to the process of satisfying all stakeholders.
  12. No more is DR a “shut down” for money equation where managers often operated with fear, uncertainty and doubt. Today’s DR, called “DR 2.0” in some circles, is a mainstream part of daily operations. For example, tanks used in process storage as among the most effective “batteries” to store energy for later use. Sophisticated algorithms can use forward pricing curves and solve production scheduling equations to produce the least cost output for today, and may repeat the same process tomorrow with a different result. The ability to create and control your own energy profile then supports an energy procurement contract that charges discounted rates that acknowledges this ability, potentially saving $ millions annually.
  13. The percentage
  14. Source for this, Global Estimates from IEA, 2007 Opportunities to save include Improving Existing Production Processes Advanced Control and Optimization Improving the Yield of Raw Materials Reducing Gas Flaring Commercializing New Processes Recycling Waste Investing in Renewable Raw Materials Producing Epichlorohydrin from Glycerine Dow has announced plans for a world-scale glycerine-to-EPI unit in China, and a stand-alone pilot plant for this technology began operating in 2006 at Dow’s production site in Stade, Germany. Producing Polyols from Natural Oils The new chemistry for producing polyols fromnatural-oil feedstock is greenhouse-gas neutral. Refrigeration Water Purification Power Generation