2. Learning Outcomes!
The Rational of Energy Management
Successful Implementation
Struggles Along the Way
The Pay Off
3. About SLCC!
#’s: students, employees, and budget
Square Footage
Type of Systems
Facilities EGMT
4.
5. A New Paradigm!
Energy Productivity: The total value of the energy
deployed
Energy efficiency is just one of the dimensions
- Negative connotations
6.
7. Increasing Energy
Productivity
Decreases energy costs
-Directly affects the bottom line
Frees up Capacity of Existing Infrastructure
- Avoided cost of new equipment
Alleviates Maintenance Requirements
- Moving from reactive to proactive
8. Increasing Energy
Productivity!
Improves Occupant Comfort and Experience
- Highly tuned building & systems
Decreases Exposure to Risk
- Utility budgets and market volatility
Positive public relations
- Recognition, partnerships, politically relevant
19. Energy Investments!
Investments not expenses
Cuts costs of business bottom line
Opportunity Cost
- greater than market returns initially
- external benefits of energy productivity
20. What to do With Returns?
Once project is paid off
- Residual energy savings captured
Revolving budget
- Used for reinvestment; yielding additional savings
Building momentum
21.
22. Energy Information System
The software,
data acquisition hardware,
and communication systems
used to store, analyze, and display building energy
data.
Large upfront investment.
An EIS enables savings, rather than directly
23.
24. Where to Begin Sub
Metering?
Gather information
Is it going to be vacated in the next 5 years?
Is it under a certain size?
Is it a leased building?
25. Sub Metering
Meter everything else!
Significant capital, time, and resources needed
Various meter technologies for different applications
How granular does the data need to be?
26. Prioritization
Two types: by Building or by Utility
Complete energy info for high priority buildings.
Or some energy info for all campus buildings.
Based on the following factors:
28. Which Utilities to Meter?
Electricity
Heating Water
Natural Gas
Steam
Chilled Water
Culinary Water
Domestic Hot Water
Fuel Oil
Misc…
29. Example
Goal is to capture the complete picture of the
facilities energy and water usage.
Some critical thinking and knowledge of the facility
and its systems are required
Example
31. Analytics
The discovery, interpretation, and communication of
meaningful patterns in data.
Answers the how and the why of energy usage.
Trends BAS system and sub metering data points
- Easily manipulated database
32. SkySpark
Processes all equipment operations and energy
usage data
- Automatically & retroactively
Compares it to specific rules programmed to
identify problematic equipment operations.
Equipment that violates a rule is “sparked”
- Instance is recorded for later viewing
33. Half of the Work
Computer processes data and finds problems
Human capital freed up to do the actual work
Ultimately creates more work
37. Helpful Suggestions
Map out your network
Discuss with IT what you desire
Dedicated network if possible
Keep on same Subnet if possible
38. Helpful Suggestions
Minimize switches and length of network cabling
Dedicated IP address to each device
Set up for VPN and remote logins
Keep secure and review security policies
39. What it Helps Us Do
Analysis methods:
- Baselining & Benchmarking
- M&V
- Carbon footprint
- Load profiling
- Energy anomaly detection.
Finding and eliminating energy waste with low cost
measures
- Scheduling
- Commissioning
- Peak shaving
- Occupant or operator practices.
40. Benefits
Evaluate Real time Data on a daily basis
Maintaining energy performance improvements and
efficiency gains over time
Identify opportunities for optimization
41.
42. Purveyors of Change
One caveat: Maintaining the nature of the
organization
Information and Technology
Approach and Methodology
Education, training, and outreach
43. Hurdles
Design
-Researched other institutions get an idea of what is
wanted, who can provide it, etc.
- Outside Expertise
Procurement
- Getting exactly what is wanted, not low bid alternates
IT support
- Understanding concerns and cooperating
45. Hurdles
Budget Constraints
Personnel training
Data Loss, accuracy, and information overload
Cost calculations and billing
46. Struggles & Limitations
Energy drift
- Must always be combatted to maintain high
performance
Law of diminishing returns
- Equilibrium point i.e. supply and demand
49. Data Driven Decision Making
Shifting big energy consuming activities to off peak
Building specific load profiles to identify norms of
operation
Provide visibility to understand what is driving
energy spend
Prioritize investments/capital upgrades
M&V at the building/system level
51. Benefits
Capacity freed up
Enhanced competitiveness/resiliency
Billing auxiliaries and customers
52. Benefits
Maintenance moves from reactive to proactive
No more surprise energy bills
Utility budgets insulated
Building momentum with institutional investments in
energy
