The
cost savings benefits of interval data for main utility meters and
submeters for specific loads (e.g. lighting, refrigeration), work areas
(e.g. welding), or equipment (e.g. electric furnace) are well understood
by energy and facility managers. Energy data from utility bills are
"rear view mirror" snapshots of energy use and typically received 30-60
days after use. Interval data provides operators a view of what is
happening now and thus
affords an opportunity to make changes that optimize energy usage. But
with submeter generating lots of interval data (typically every 15
minutes), who has time to review and analyze all this data?
The
primary function of the typically thinly-staffed energy and facility
teams is operational reliability (keeping the line running or building
operating) and maintenance (break-fix). It takes time to normalize the
submeter data for weather, occupancy, production levels and other
factors to identify true energy use anomalies (miscalibrated equipment,
equipment needless running, etc.). This is time these teams often do not
have. For example, one Fortune 500 firm has dozens and dozens of
submeters across 3 large manufacturing facilities but the energy team
simply did not have the time to analyze the data.
Compounding
this time challenge is missing incentives for operational
improvements. Many teams (like the team mentioned above) are rewarded
for reliability and occupancy comfort and not energy efficiency. In
other words, there is little upside to driving energy savings through
behavior change or equipment calibration (one may even argue there is
downsize because chasing energy efficiency improvements takes time away
from reliability or comfort goals).
In our research report
on energy management software that profiles 45 vendors, we noticed that
many software packages simply display submetered data or offer
simplistic algorithms to normalize the data. These time-started teams
need more than graphical displays of data.
The
good news is that innovative solutions are coming to the market. In
part 2, we'll summarize some solutions that leverage the power of
submetered data with the reality of time-starved operational teams.
These solutions involve the generation of proposed work orders, the
remote control of assets or equipment, and other capabilities.
What are your views on this?
4 comments:
Nice article, thanks for the information.
Hi Paul
Agreed this is a major issue. We have automated a large proportion of the analyses that are useful. But ultimately it is the tools to triage the findings and draw attention to most need that show most interest. Multi-site enterprises like coffee-shops, banks and retailers need to save on travel costs so remote diagnostics are of huge benefit.
We are also seeing increasing leves of interest from Utilities who are more profitable offering services than simply selling low margin commodities in deregulated environments.
Hi Paul
Aaah.... the world of sub-metering :-) I've been swimming in that sea for most of my life. Comments like "how much does a submeter save me?" are always amusing. I find most sub-metering rollouts of any size (i.e. 1000 to +100,000 for a single client) that are directly linked to value (i.e. getting savings out of the data) are often found in large global organisations like Retailers, Telecoms, Banks etc. Often look to maturer EIS markets like UK for best solutions for both metering hardware and action orientated analytics software.
I found you through the Facebook thing on the Drudge. I read many of your blog posts and I know this is going to be tough for you, but you are smart and not-smart all at the same time.
When I have more time I will come back and give you details on why you are a bit misguided.
Just a hint a what is to come - Sustainability is for idiots.
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