University of Dayton Industrial Assessment Center Kelly Kissock
- Slides: 39
University of Dayton Industrial Assessment Center Kelly Kissock, Ph. D. , P. E. Professor and Chair, Mechanical and Aerospace Engineering / Renewable and Clean Energy Director: University of Dayton Industrial Assessment Center
Industrial Assessment Center Program § Sponsored by U. S. Department of Energy – Program began during 1970 s “energy crisis” – 26 centers at universities throughout the U. S. – 20 no-cost assessments per year for mid-sized industries § Goals: – Help industry be more resource-efficient and competitive – Train new engineers in industrial best-practices
Eligibility for No-Cost IAC Assessment § Manufacturing facility SIC: 20 to 39 § Annual energy costs: $100, 000 $2, 500, 000
Other Assistance to Industry from D. O. E. § Save Energy Now program – http: //www 1. eere. energy. gov/industry/saveene rgynow/ § D. O. E. Software Tools – – – Screening: Quick PEP Process heating: PHAST Compressed Air: Air Master Pumps: PSAT Steam: SSAT Motors: Motor Master § General training on D. O. E. software tools – 1 to 3 day seminars on D. O. E. tools § Energy Saving Assessments – 3 -day assessment of specific energy system – Includes training on use of D. O. E. software tool
IAC Assessment § Gather and analyze data before visit § Team of faculty and students visit plant for one day § Work closely with clients to: – Reduce energy – Reduce waste – Improve productivity § Write custom, confidential, independent report with specific savings suggestions § Call back to see what was implemented
UD Industrial Assessment Center § Performed over 800 assessments since 1981 § Check implementation results after one year – Half of recommendations implemented < 2 year
UD-IAC Energy Assessment Approach § Develop Baseline – Billing analysis: how energy is priced – Energy balance: where energy is used – Lean energy analysis: why energy use changes § Identify and Quantify Savings Opportunities – Integrated Systems and Principals Approach to Identifying Savings • • Consider relevant energy systems (elect, lights, motors, fluid flow, compressed air, steam, process heating and cooling, HVAC) Apply principals of energy efficiency (inside out, control efficiency, counter flow, etc. ) – Use engineering fundamentals and fundamental-based software to quantify savings § Measure and Benchmark – Measurement: extend LEA with sliding NAC and EI to measure energy efficiency improvement – Benchmarking: compare NAC and EI for inter-facility benchmarking
Baseline: Utility Bill Analysis § Analyze rate schedule § Verify billing amounts § Check for saving opportunities: – Primary/secondary – Power factor correction – Meter consolidation – Demand reduction potential
Baseline: Calibrated Energy Use Breakdowns
Baseline: Lean Energy Analysis § Model energy use as functions of weather and production – E=a+b. T+c. P – G=a+b. T+c. P § Use models for: – – – Measuring savings Budgeting LEA Breakdown Benchmarking Identifying Savings Opportunities
LEA: High Independent Identifies Operating Opportunities
LEA: High Scatter Identifies Control Opportunities Heating Energy Varies by 3 X at Same Temp!
LEA: Departure From Expected Shape Identifies Malfunctioning Economizers § Air conditioning electricity use should flatten below 50 F § Audit found malfunctioning economizers
Energy Systems – – – Electrical Lighting Motor drive Fluid flow Compressed air Steam and hot water Process heating Process cooling Heating, ventilating and air conditioning Cogeneration Renewable Energy
Principles of Energy Efficiency • • • Inside Out Analysis Understand Control Efficiency Think Counter-flow Avoid Mixing Match Source Energy to End Use Whole-system, Whole-time Frame Analysis
P-1: Think ‘Inside-out’ Result: Significant improvement at minimal cost
P-2: Understand Control Efficiency (Systems sized for peak but operate at part-load)
P-3: Think Counter Flow T Q Parallel Flow T x Q Counter Flow x
P-4: Avoid Mixing • Availability analysis… Useful work destroyed with mixing • Examples – CAV/VAV air handlers – Separate hot and cold wells – Material reuse/recycling
P-5: Match Source Energy to End Use
P-6: Whole System/Timeframe Design • Dopt = 200 mm when Tot Cost = NPV(Energy)+Pipe • Dopt = 250 mm when Cost= NPV(Energy)+Pipe+Pump • Energy 250 = Energy 200 / 2
Integrated Systems + Principles Approach § Effective and Thorough
State of the Art Equipment § Power logging § Ultrasonic flow sensors § Ultrasonic vibration § Combustion analysis § Temperature, light, pressure, air flow, etc.
Lighting § End Use – Turn off blocked light – Occupancy sensors – Maximize day-lighting § Distribution – Add reflectors – Task Lighting – White ceilings / walls § Conversion – Upgrade fixtures
Motor Drive Systems § End Use – Turn off when not in use § Distribution – Smooth to notched VBelts § Conversion – Replace rather than rewind – Right-size motors
Compressed Air Systems § End Use – Eliminate inappropriate uses – Air saver nozzles § Distribution – Fix leaks – Timed to demand control drains § Conversion – – – Reduce Pressure Efficient control Compress outdoor air Properly stage Adequate storage Reclaim heat to space
Fluid Flow § End Use – Decrease head – Pump slower/longer § Distribution – Reduce friction § Conversion – Trim impellor / slow fan – VFDs for variable flow
Process Heating § End Use – – – Insulate hot surfaces Block radiation Minimize infiltration Reduce cooling losses Reduce conveyor losses Reduce batch losses § Distribution – Counter flow heat exchange § Conversion – Reduce excess combustion air – Pre-heat combustion air or load – Cascade waste heat
Boiler / Steam Systems § End Use – Insulate hot surfaces – Cover open tanks § Distribution – Repair failed steam traps § Conversion – Reduce excess combustion air – Pre-heat combustion air or feed -water – Minimize steam pressure – Reduce blow-down – Modulation control – Add O 2 trim control
Process Cooling § End Use – Insulate cold surfaces – Increase HX effectiveness – Pinch analysis § Distribution – Avoid mixing § Conversion – Utilized most efficient cooling process – Properly stage chillers – VFDs on CT fans
Heating Ventilating and Air Conditioning § End Use – Reduce set-points – Reduce infiltration/ventilation – Insulate un-insulated envelope § Distribution – Reduce temp stratification – Radiant heaters § Conversion – Reclaim heat from process – 100% efficient MAU for ventilation – Differential pressure control for MAUs
Measurement and Benchmarking § Measurement – Extend LEA with sliding NAC and EI to measure energy efficiency improvement § Benchmarking – Compare NAC and EI for inter-facility benchmarking
Measure: Extend LEA by Calculating Sliding Normalized Annual Consumption (NAC) • AC up by 10% • NAC down by 12%
Benchmark: Compare NACs of Multiple Facilities DNAC
Institutionalize Knowledge
Free Energy Analysis Software § § § ESim Heat. Sim Cool. Sim Air. Sim Light. Sim ETracker
UD-IAC Alumni § § § § § Mc. Donough-Braungart Johnson Controls Honeywell Energy Resource Solutions 2 RW Consulting Select Energy Services Heapy Go Sustainable Energy And many more…
Awards § U. S. DOE 2003 Center of Excellence § State of Ohio 2006 Governor’s Award for Excellence in Energy § U. S. DOE Energy Champion Awards to UDIAC Clients
Interested? Dr. Kelly Kissock 937 -229 -2852 kkissock@udayton. edu Franc Sever 937 -229 -3343 severfrj@notes. udayton. e du http: //academic. udayton. edu/kissock/http/IA C
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