ies webinar: big data trends
DESCRIPTION
Big data trends and highlights. Identifying and prioritizing facilities using exceess energy. Recorded Date: 10/29/2013 Hosts: Rick Clough, Director, Data Sciences, with EcovaTRANSCRIPT
Big Data: Energy Trends and Highlights
Presenter: Rick Clough, Director, Data Sciences with EcovaDate: 10.29.13
Agenda
Ecova Update
White Paper Brief
Ecova Data Relevance
Consumption Highlights
Peak Demand Highlights
Price Highlights
Summary – Best Practices
Wrap Up
Q & A
Ecova Overview
Growing Results on Saving Resources Technology enabled solutions for both sides of the utility meter that enable companies to manage their energy and sustainability expenses and usage
Founded in 1996, 1,300 employees today
Over 700 commercial and industrial clients = 24% of the Fortune 500
Nearly 50 utility and energy efficiency organization clients
Ecova processes nearly $20B in energy and resource expenditures
ENERGY STAR award winner nine years in a row
Ecova handles over 8% of the commercial electric load in the U.S.
Total Energy and Sustainability Management
White Paper Brief
U.S. Commercial Facilities
Commercial facilities account for 36% of U.S. electricity consumption
The associated cost for that consumption is over $190 billion
Responsible for 18% of U.S. carbon dioxide emissions
U.S. Environmental Protection Agency claims that 30% of all consumption is wasted
Ecova’s Client Base Consumption has experienced shift since 2008
Peak demand has followed the consumption shift trend
However, a number of vertical markets have seen an erosion in one measure of energy efficiency – load factor
Energy prices have been low, but are about to take a turn
Water/sewer rates continue to escalate
Ecova Data Relevance - Highlights
Over 700,000 sites
One of the largest databases of commercial
building energy use in the U.S.
Most refreshed and accurate data
available
Significant market share across key vertical markets
External peer benchmarking
capability unmatched
Over 1 billion transactionscaptured daily
Ecova Data Relevance and Client Requirements
Process to identify and prioritize facilities using excess energy
Steps to develop a long-term plan
What is the Client’s Business
Problem that Energy Big Data
Solves?
Client Business Problem
Client Business Challenges
• missing invoices (~9%)• incorrect data (up to
6%)• data normalization• data storage, mining
tools, models/algorithms
Data EquipmentFacilities
• openings and closings• remodels• acquisitions• mergers
• degradation patterns• new equipment• holistic systems• re-commissioning• maintenance practices
Performance
• benchmarking/metrics• efficiency projects• investment business cases• measurement & validation
Consumption Highlights – Energy Intensity
0.86
0.88
0.90
0.92
0.94
0.96
0.98
1.00
1.02
12/1/08 3/1/09 6/1/09 9/1/09 12/1/09 3/1/10 6/1/10 9/1/10 12/1/10 3/1/11 6/1/11 9/1/11 12/1/11 3/1/12 6/1/12 9/1/12 12/1/12
Annu
al C
onsu
mpt
ion
Tren
d In
dexe
d to
200
8
Average Annual kWh per Sqft : 2012 indexed to 2008
Note : Consumption weather normalized using 2008 as the baseline weather year.
Consumption down by 8.8%
Many clients have implemented cost cutting programs
Utility-sponsored programs have been embraced for the purchase of new technologies to drive operational improvements
Consumption Highlights – EIA and Ecova
Note : Consumption weather normalized using 2008 as the baseline weather year.
Ecova clients experienced greater rate of reduction than overall commercial facilities as indicated by EIA
CO2 Scorecard claims that 75% of the 2012 CO2 reduction is due to efficiency gains as opposed to increased use of natural gas in generation stacks
0.86
0.88
0.90
0.92
0.94
0.96
0.98
1.00
1.02
2008 2009 2010 2011 2012
Inde
xed T
rend
s to
2008
Indexed Consumption TrendsUS Energy Information Administration (EIA) and Ecova
Ecova (Weather Normalized) EIA
-1.8%
-6.4%
Consumption Highlights – Vertical Markets
Small and medium box retail have led the way with consumption reductions Healthcare has pressures like no other vertical, and energy intensity is increasing
Small Box Retail - 0-7500 Sqf t
Medium Box Retail - 7500-25000 Sqft
Mercantile (Malls)
Warehouse and Storage
Service
Off ice
Food Sales-Convenience Stores
Education
Public Assembly
Big Box Retail - 25000+ Sqf t
Food Service-Casual Dining
Food Sales-Grocery
Lodging
Food Service-Quick Serve
Industrial
Healthcare (Outpatient)
Healthcare (Inpatient)
Total
-14.0% -12.0% -10.0% -8.0% -6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0%
Consumption Change: 2012 Baselined to 2008
Peak Demand Trends
Peak demand falls by 6%, compared to consumption, which falls by 8.8%
When peak demand lags consumption reduction, load factor (measure of energy efficiency) declines
0.86
0.88
0.90
0.92
0.94
0.96
0.98
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1.02
Tren
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Annual Consumption vs Peak Demand Trend
Peak Demand Consumption Consumption (Weather Normalized)
Load Factor – Select Vertical Markets(measure of the uniformity and efficiency of electricity use)
Load Factor (percent) =[(Total kWh) / (# Days in Bill Cycle x 24 hrs./day)] / [Peak kW Demand]
Pricing Trends – Natural Gas
Natural Gas Pricing Trends2008 Baseline
0.50
0.60
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0.90
1.00
1.10
An
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Pri
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Average Annual $/Therm : 2008 through 2012
Indexed Natural Gas Unit Cost
Natural gas prices decreased by 36%
Prices are expected to rise over next two years
Demand-supply is expected to tighten
Pricing Trends - Electric
Electric Pricing Trends2008 Baseline
Prices in deregulated markets decreased by 14%
Regulated market prices experienced a 4% increase
Prices are expected to rise over next two years
Pricing Trends -Water
$/Kgal increased by ~30%
Prices are expected to continue to rise
• infrastructure investment needed
• water shortages
What are clients doing to mitigate price increases?
• majority have strategies to cut water use
• however, majority do NOT have water performance benchmarks in place
0.80
0.90
1.00
1.10
1.20
1.30
1.40
Annu
al U
nit P
rice
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Average Annual $/Kgal : 2008 through 2012
Indexed Water/Sewer Unit Cost
Putting Big Data to Work: Client Best Practices
Baseline and Trend Analysis Trend analysis helps gauge energy consumption and energy intensity
Forecasting Creates visibility into projections that affect risk and profitability
Facility Benchmarks: targeting facilities for improvement
Internal benchmarks help identify positive and negative portfolio outliers with an emphasis on targeting facilities for improved energy performance
External benchmarks provide a performance gauge for companies relative to competitors within the same vertical market segment
Advanced Analytics Fine-tune data sets with other parameters (e.g. business productivity, weather,
operating characteristics)
Measurement and Verification Measurement is essential to determine what’s working and what’s not
Wrap Up
Consumption has experienced shift since 2008 • Down by 8.8%
Peak demand has followed the consumption shift trend • Down by 6%
• Some vertical markets have seen an erosion in energy efficiency as load factor has declined
Energy prices have been low, but are about to take a turn• Electric: Deregulated down by 14%; Regulated up by 4%
• Natural Gas: down by 36%
Water/sewer rates continue to escalate • Up by ~30%
Ecova’s Client Base – Trends Since 2008
Summary
Ecova Update
White Paper Brief
Ecova Data Relevance
Consumption Highlights
Peak Demand Highlights
Price Highlights
Summary – Best Practices
Q & A
Upcoming Ecova Webinars
INSIDE ENERGY & SUSTAINABILITY
Resource Benchmarking Reports Solutions Webinar – October
31st 10am PST
Make Your Energy Audit Worth the Investment – November 5th
1pm PST
Questions, comments, suggestions? [email protected]
Q&ARick CloughDirector, Data [email protected]
Thank you!