Effective energy management
This presentation is the property of its rightful owner.
Sponsored Links
1 / 40

Effective Energy Management PowerPoint PPT Presentation


  • 90 Views
  • Uploaded on
  • Presentation posted in: General

Effective Energy Management. Effective Energy Management. Develop baseline Identify and quantify savings opportunities Measure and benchmark to sustain efforts. 1. Energy Use Baseline. Billing analysis How energy is priced Plant energy balance Where energy is used

Download Presentation

Effective Energy Management

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Effective energy management

Effective Energy Management


Effective energy management1

Effective Energy Management

  • Develop baseline

  • Identify and quantify savings opportunities

  • Measure and benchmark to sustain efforts


1 energy use baseline

1. Energy Use Baseline

Billing analysis

How energy is priced

Plant energy balance

Where energy is used

Lean energy analysis (LEA)

What drives changes in energy use


Utility bill analysis

Utility Bill Analysis

  • Analyze rate schedule

  • Verify billing amounts

  • Check for saving opportunities:

    • Primary/secondary

    • Power factor correction

    • Meter consolidation

    • Demand reduction potential

  • Benchmark costs


Plant energy balance

Plant Energy Balance

  • 1) Estimate energy use from:

    • rated power

    • frac loaded

    • operating hours

  • 2) Calibrate sum against measured total energy use


Energy use breakdowns by equipment

Energy Use Breakdowns by Equipment


Lean energy analysis

Lean Energy Analysis

  • Understand what drives changes in Energy

  • Quantify “Waste” and “Lean”

  • Model:

    Energy = a + b Production + c Weather


Source data

Source Data


Actual temperature data

Actual Temperature Data

http://academic.udayton.edu/kissock


Plot fuel vs toa

Plot Fuel vs Toa


Model fuel use vs toa 3ph

Model Fuel Use vs Toa: 3PH

HS

Find

Tcp

R2 = 0.92


Model fuel use vs production 2p

Model Fuel Use vs Production: 2P

R2 = 0.02 Prod Slope Negative


Model fuel use vs toa and prod 3ph mvr

Model Fuel Use vs Toa and Prod: 3PH-MVR

R2 = 0.97 Prod Slope = Positive


Disaggregate fuel use

Disaggregate Fuel Use

Fuel

Weather = 28%

Production = 58%

Independent = 14%

Temperature


Model electricity vs toa 3pc

Model Electricity vs Toa: 3PC

R2 = 0.67


Model electricity vs production 2p

Model Electricity vs Production: 2P

R2 = 0.32


Model electricity vs toa and prod 3pc mvr

Model Electricity vs Toa and Prod: 3PC-MVR

R2 = 0.82


Disaggregate electricity use

Disaggregate Electricity Use

Electricity

Weather

= 10%

Production = 39%

Independent = 51%

Temperature


Lean energy analysis1

Lean Energy Analysis

Called “Lean Energy Analysis”

because of synergy with “Lean Manufacturing”.

In lean manufacturing, “any activity that does not add value to the product is waste”.

Similarly, “any energy that does not add value to a product or the facility is also waste”.


Quantified leaness of fuel use

Quantified “Leaness” of Fuel Use

“Independent” is a metric of energy not added to product

Fuel LEA = %Production + %Weather

Fuel LEA = 86%


Quantified leaness of electricity use

Quantified “Leaness” of Electricity Use

“Independent” is a metric of energy not added to product

Electricity LEA = %Production + %Weather = 49%

Electricity LEA = 49%


Average lea scores p w 28 manufacturing facilities

Average LEA Scores (%P+%W)(28 Manufacturing Facilities)

58%

39%


Use lean energy analysis to discover savings opportunities

Use Lean Energy Analysis To Discover Savings Opportunities

LEA Indicators of Savings Opportunities

  • High “Independent” indicates waste

  • Departure from expected shape

  • High scatter indicates poor control


Low electric lea 24 indicates operating opportunities

Low Electric LEA = 24%Indicates Operating Opportunities


Low fuel lea identifies insulation opportunities

Low Fuel LEA Identifies Insulation Opportunities


High heating slope identifies heating efficiency insulation opportunities

High Heating Slope Identifies Heating Efficiency / Insulation Opportunities


High data scatter identifies control opportunities

High Data ScatterIdentifies Control Opportunities

Heating Energy Varies by 3X at Same Temp!


Departure from expected shape identifies malfunctioning economizers

Departure From Expected Shape Identifies Malfunctioning Economizers

  • Air conditioning electricity use should flatten below 50 F

  • Audit found malfunctioning economizers


Lean energy analysis2

Lean Energy Analysis

Quick but accurate disaggregation of energy use:

Quantifies the energy not adding value to product or the facility

Helps identify savings opportunities

Provides an accurate baseline for measuring the effectiveness of energy management efforts over time.


2 identify and quantify saving opportunities

2. Identify and Quantify Saving Opportunities

  • Identifying energy savings

    • Use “Integrated Systems + Principles Approach (ISPA)

    • ISPA is effective and thorough

  • Quantifying energy savings

    • Requires competent engineering

    • May warrant energy audit

    • May consider energy savings performance contract (ESPC)


Prioritize saving opportunities

Prioritize Saving Opportunities

  • Multiple filters

    • Financial return on investment

      • Rank versus other energy saving opportunities

      • Rank versus other requests for capital

      • Risk

    • Consistent with other priorities

    • Available and knowledgeable staff to manage project


Implement savings opportunities

Implement Savings Opportunities

  • Management commitment

  • Operator and maintenance education and buy in


3 measurement and benchmarking

3. Measurement and Benchmarking

  • Sustaining energy efficiency efforts requires that effectiveness of past efforts be accurately evaluated.

    • Verify the performance of past energy-efficiency efforts

    • Inform the selection of future energy-efficiency initiatives

    • Help develop energy-efficiency targets

  • Measurement

    • Extend LEA with sliding NAC and EI to measure energy efficiency improvement

  • Benchmarking

    • Compare NAC and EI for inter-facility benchmarking


Normalized energy intensity

Normalized Energy Intensity

1) Characterize performance with

‘Energy signature’ model

2) Remove noise with

‘Normalized annual consumption’ NAC

3) Track performance with

‘Sliding NAC’ analysis

4) Benchmark performance with

‘Multi-site sliding NAC’ analysis


Raw energy and production data

Raw Energy and Production Data


Normalized energy intensity1

Normalized Energy Intensity


Benchmark nei vs multiple facilities

Benchmark NEI vs. Multiple Facilities

DNEI

NEI


Case study turn off make up air units during non production hours

Case Study: Turn off Make-up Air Units During Non-Production Hours

Heating Slope Decreases by 50%

Baseline Post-retrofit


Sliding nei

Sliding NEI

Fuel NEI decreased by 23%

Independent of weather/production changes


Summary effective energy management

Summary: Effective Energy Management

  • Develop baseline

    • Plant energy balance

    • Lean energy analysis (LEA)

  • Take action

    • Identify and quantify energy saving opportunities

    • Prioritize energy saving opportunities

    • Implement energy saving opportunities

  • Measure and benchmark to sustain efforts

    • Develop metrics for system energy efficiency

    • Measure energy efficiency improvement with sliding NAC and EI

    • Compare energy efficiency between facilities with NAC and EI


  • Login