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Figure 2: Change in global primary energy demand by measure and by
scenario.
Managing energy
In order to help customers meet this challenge and generate large
energy savings, it is necessary to take a more holistic approach to
energy management. The following energy management life cycle
model illustrates an effective guide. It shows five distinct areas of
focus for improving energy management: strategy, supply, demand
(our focus), analysis, and performancemonitoring. Themost common
starting point for energy management is to measure performance. It
is hard to develop a strategy without first understanding the current
position, and most energy management processes will start with an
audit or measurement.
This stage of ‘Energy Awareness’ often looks at benchmarking
plants and production against target energy consumption levels. In
Europe, this Energy Efficiency Audit, or Energy Management Informa-
tion System, is required as part of the European Parliament’s Energy
Efficiency directive (published October 25, 2012).
The information from the performance phase is typically dis-
played on a dashboard. The data can be shown on large screens so
it is visible across an enterprise. In industries where there are lots of
repetitive systems or existing benchmarks, this information provides
businesses with a clear picture of their performance. Whenmeasuring
building efficiencies, there are clear benchmarks for energy consump-
tion based on the building’s floor area and the external temperature.
Based on these values, energy consumption models can be used for
generic buildings.
This approach can also be applied to the industrial sector where
there are benchmarks for some processes, but where it is rare that
we get a clear benchmark on energy consumption.
The issue with benchmarking for industrial companies is twofold.
First is the complexity of the process. Take, for example, a simple
process such as a water pumping station. Its energy consumption
will change on a daily basis; it will also be impacted by the distance
and height pumped, as well as local rainfall. All these factors increase
the complexity of our model. The second is that while a benchmark
offers a point of comparison, it does not provide guidance on what
to change within the system.
Abbreviations/Acronyms
EMIS – Energy Management Information System
IEC – International Electrotechnical Commission
ODVA – Open Device Vendors Association
OECD – Organisation of Economic Cooperation and Development
PAS – Process Automation System
take note
• The global expanding population is driving the demand for
energy.
• Energy usage will double by 2050 and electrical consumption
by 2030.
• This increase in demand can only be supported by new power
generation and infrastructure… resulting in higher prices.
NPS
to 450
Efficiency in end-uses 67% 66%
Efficiency in energy supply 5% 8%
Fuel and technology 12% 12%
switching
Activity 16% 14%
Total (Mtoe) 1 479 2404
Energy savings in 2035
2010 2015 2020 2025 2030 2035
19 000
18 000
17 000
16 000
15 000
14 000
13 000
12 000
Current Policies Scenario
New Policies Scenario
450 Scenario
Mtoe
CPS
to NPS
Note: CPS = Current Policies Scenario
NPS = New Policies Scenario
450 = 450 Scenario
How do I
optimise?
How do I
control?
How do I
buy?
What is my
strategy?
How am I
performing?
Energy
Management
Life Cyle
Visualisation
Increased
employee
awareness
Improved
awareness
Improved awareness,
identification of O&M
improvements
Installation of
meters
Bill allocation
only
Facility tune-up
Continuous improvement
3%
10%
2%
15% to
30%
Continuous Improvement
Action plans
Benchmarking
Project improvements
Continuous attention
Figure 3: The energy management life cycle.
Key to delivering energy savings in a manufacturing process is the
ability to convert the information into an action or a change within
the plant. To create actionable change in our plant, we must stop
focusing on energy consumption against time and instead focus on
what the energy is actually doing (i.e. the production). To get an ac-
curate link between production and the energy consumed, we need
to collect energy information in alignment with process data. The
cleaner the relationship is between the action and the data collected,
the more accurate we can be in our analysis and the better our results.
A typical control system includes a large number of energy consum-
ing elements. Each of these elements contains one or more of our
energy sources (water, air, gas, electricity, and steam). Some pieces
of process equipment may actually change energy source based on
the customer’s strategy for managing their energy supply.
Figure 4: The potential energy savings difference between visualisation
and continuous improvement.
5
July ‘16
Electricity+Control