Importance of Energy Service Demand Representation to Consideration of Range of Technology Choices in Manufacturing
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1 Importance of Energy Service Demand Representation to Consideration of Range of Technology Choices in Manufacturing R. Neal Elliott, Ph.D., P.E. Industrial Program Director American Council for an Energy Efficient Economy
2 A Critical Observation.... Energy service demands don t always equate with energy end uses Confusing the two in economic policy models especially when improperly representing services demand as energy end-uses may significantly limit the representation for cost-effective improvements in energy efficiency Instead of an efficiency gap of perhaps 15-25% when modeled as energy end uses, we may see a factor of 2 or greater efficiency gap depending upon technology choices
3 Overview of Presentation Review typical representations of manufacturing energy use in energy models Discuss the relevance of energy service demands Develop an example for the Food Products industry Link energy services to energy resources Discuss implications of an alternative mapping and/or representation
4 Introduction Appropriate representation of energy service demands is critical to understand productivity gains and energy efficiency opportunities Current models unnecessarily limit technology choices Critical need to understand shifts in technology and service demands Use of the food products industry as an exploratory example
5 Two Key Definitions An energy service demand is the need for a specific level of work or activity to be performed An energy end-use refers to a specific form (including quantity and quality) of energy used to satisfy an energy service demand An energy service demand does not necessarily equal an energy end use.
6 Illumination Service Demand vs. Lighting End Use Lighting end use: Electricity going to lighting equipment Illumination service demand: Can use electric lights (10% Eff) or daylighting ( %) Illumination can actually be broken into subuses: Ambient for general vision and safety Task with high-quality for visually critical tasks Area largely for safety in yards and warehouses
7 Electric Motor End-Use vs. Drive Power Service Demand Electric Motor End-Use Compressed air Refrigeration Drive power Drive Power Service Demand Fluid flow Conveyance Grinding/machining/mixing Drive power can be satisfied by an electric motor, compressed air motor, steam turbine, or combustion engine.
8 Relative Efficiency of Delivered Drive Power by Technology Difference between current and advanced electric motor efficiency 12% Current delivered drive power efficiency: Electric motor = ~25% Combustion Engine = ~30% (22% difference) CHP system = ~75% (200% difference) Technology choice more important than technology advances within technology
9 CHP or Cogeneration Separate Heat and Power 79 (Gen. Losses) 7 (Grid Losses) Combined Heat and Power Power Plant fuel (121 units) 180 units Power Plant Grid Useful Electricity 35 units Useful Electricity CHP 100 units Boiler fuel (59 units) BOILER Useful Heat 50 units Useful Heat CHP system fuel (100 units) 9 units (Losses) 15 units (Losses)
10 Characterization of Industrial Energy Use in Models As part of this exercise, reviewed major economic policy models with detailed manufacturing representation and found: Don t cleanly define service demands Confuse energy use with service demands Reflect a limited range of technologies for service demands Energy options (e.g., CHP) are not fully integrated within those models Reflect only limited fuel switching options
11 Challenges Representing Manufacturing Energy Services in Economic Models Diversity of energy uses in manufacturing Complex structure of sector linked suppliers Process focus of energy usage Limited data availability on energy use and technology representations Fuel-switching complicated (e.g., main opportunity presented between boiler fuels not electric to fuels) Inability to deal with purchased electricity displaced by fuels
12 End-Uses vs. Service Demands Most economic policy models inappropriately confuse end-uses with service demands. Examples include: Compressed air Steam Process cooling Motors Lighting Process heating By confusing or mixing these concepts, economic tend to limit resource options and lock-in existing technology choices
13 Representing Energy Services Requires a fundamental understanding of manufacturing processes and decisions not currently mapped into most models Focus on what is actually being decided upon and actually being done Understand how demand for service can actually be met: Service Demands Technology Choices Refrigeration Fastening Process Heat Vapor compression, absorption Welding, bonding, mechanical Steam, convection, IR, RF
14 Exergy Service Demands Energy and the quality of that energy are two entirely different attributes Ayres suggests using exergy service to reflect the second law of thermodynamics (including quantity and quality of the energy resource) Using higher quality than necessary is inefficient Allows tracking of embodied energy
15 Characterizing Delivered Exergy Services in Food Processing Four Discrete Steps: Identify energy services Identify set of technologies that can satisfy service demands Identify energy resources that supply technologies Map resources to service demands Start with NEMS representation
16 NEMS Representation of Food Energy Use
17 Proposed Approach Separate energy resources from energy carriers and energy services Create intermediate transformation for steam and electricity generation and CHP CHP could drive the future of steam Understand options for energy carriers to satisfy service demands Test with representation of Food Processing (NAICS 311)
18 Food Products Exergy Service Demands Service Demand Exergy Service (Tbtu) Illumination % Drive Power % Refrigeration % Heating %
19 Linking Energy Sources and Energy Carriers Energy Sources CHP Energy Carriers Purchased Fuel Fuels Purchased Steam Purchased Electricity Internally Generated fuels Opportunity Fuels Waste heat Electricity Steam Compressed Air Hydraulic Pressure Hot Gas Primary linkage Secondary linkage Indirect linkage
20 Mapping Energy Flows in Food Energy Sources Indirect Conversion Energy Carriers Service Demands Purchased Electricity 29% Electricity 50% Lighting 85% Fuels 61% H+P 35% Fuels 35% 20% Drive Power CHP 80% Refrigeration Electricity-Only Generation Steam/Hot-Water Boiler 65% 85% Heating Steam/Hot-Water Electricity Fuel Direct Drive Thermally Activated Refrig.
21 Representing Technology Choice Based on industrial decision tree Can be represented as constrained hierarchy of production functions Requires understanding of both the set of technologies and the required service demands (rather than assumed energy flows ) Allows a greater variety of resources to compete to satisfy a service demand
22 Refrigeration Technology Choices Refrigeration Service Demand Engine-Driven VC Chiller Technology Choice Electric-Driven VC Chiller Fuel Thermally Activated Chiller Electricity Steam Hot Gas Fuel CHP Fuel
23 Drive Power Technology Choices Drive Power 1-50 hp Size 200+ hp Repair Electric Motor Replace Direct Drive hp Repair Electric Motor Replace EPAct Premium Advanced EPAct Premium Advanced Repair Electric Motor Replace Direct Drive Microturbine NatGas Recip Steam Turbine Direct Drive Turbine NatGas Recip Steam Turbine EPAct Premium Advanced
24 Implications of Alternative Energy Representation Allows exploration of a wider range of technology choices Endogenous CHP and fuel switching representation Doesn t lock in resource or technology choices Allows understanding of relative importance of service demands Highlights energy constraints
25 Understanding Technological Change Need to understand technology change Build on TRIZ theory of directed innovation Abstracted Technology Innovation Evolved Solution Existing Technology Constraint Evolved Technology Need to understand products change As a result service demands change
26 Example of Change in Service Demand Currently food products manufacturing processes raw food stuffs into final products Technologies emerging that can assemble products from building blocks Use simple amino-acids, fats, and simple sugars to replicate product using ink-jet like technology
27 Possible Structural Changes in Food Products Manufacturing Energy Sources Indirect Conversion Energy Carriers Service Demands Purchased Electricity Electricity Lighting Fuels Fuels Drive Power CHP Refrigeration Electricity-Only Generation Steam/Hot-Water Boiler Heating Separation/ Conversion
28 Conclusions and Need for Further Work Service demands can be defined from available data While errors likely no worse than rigidity of current representations Refine and complete technology characterizations Need to code into model AMIGA Need to extend to other manufacturing sectors
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