Energy management in a continuous process plant
By
Hema Hattangady &
K. Jagadish Rao
1.0 Introduction:
Conventional methods of Energy Management in a continuous process plant are usually plagued
by the following weaknesses:-
- Greater emphasis on process efficiency than on Energy efficiency. Energy optimization is not a
part of the control loop.
- Equipment is derated by a factor of safety of 3 and higher, to ascertain continuous production
with little concern for Energy Consumption.
- Off-line monitoring of Energy Parameters, with Energy reading cycle of 1 to 2 hours, whereas
the production data was taken at a particular point of time.
(Eg.8 AM). This leads to Errors in Energy and specific Energy readings.
- Use of Analog meters, which are inherently not as accurate as digital metering.
2.0A New Perspective
With energy costs increasing faster than the rate of inflation, combined with the freeing of
imports, all hitherto protected Industries have to face the challenge of overcoming the price
war, and creating adequate profits for future growth. This has created an immense need for
cost consciousness among all the plant personnel along with the need to maintain
international standards of quality. Towards this endeavour, it has been observed thatEnergy
Management and Energy Conservation measures are indeed a major step in improving
bottom lines.
This is possible by having a continuous Energy improvement program based on real-time, online, plant data collection, data analysis, data interpretation, decision-making and Energy
savings implementation, in a closed loop.
The key factor for the success of the above is the speed and accuracy of data collection and
its integration with Enterprise Resource Planning packages (ERP).
3.0 Energy Management Network

A typical configuration of an effective Energy Management Network is indicated in figure-1
Enterprises Energy Management Network
The three data base servers should be able to communicate between each other over the
network. Once this requirement is fulfilled, Energy data can freely flow in the organization, to fulfill the objective of data analysis and corrective actions.
4.0 The Conzerv Advantage
Conzerv Systems has created a niche in the field of Electrical Energy Management Networks,
which forms a part of the enterprise Energy Management Systems (see Fig–1). Many Electrical
parameters need online measurements and real time controls, the most important one being the
maximum demand control. Total Harmonics Distortion is creating unpredictable problems in
Industries, which is created due to non-linear loads like variable speed drives soft starters, DC
drives and electronic ballasts. Some of the identified problems include transformer overheating,
fuse blowing, CNC system malfunction, computer data corruption, frequent breaker tripping, etc.,
Hence monitoring of industrial Harmonics is very important. Other parameters needed to monitor
quality of power include power factor, apparent power, reactive power, active power, number of
trips run hours and trip hours of a feeder. Conzerv supplies a range of instruments to address all
these complex parameters.
5.0 The Network
A typical configuration is indicated in figure –2

Conzerv’s Electrical Management Network
- Remote units: Installed at various factory load monitoring points.
- Data Concentrator : used to convert the Energy pulse outputs from the Energy Meters to RS
485 output.
- Data communication cable: This is the RS 485 communication backbone, over which all
remote units get connected to.
- Data convertor: This is a RS 232 to RS 485 convertor.
- Modem: used for long distance communication over telephone lines
- Modem convertor: This is a modbus to modem convertor used for modem communication.
- Personal computer: All the data from the remote units get logged into the computer for meeting
the energy management goals.
Conzerv Electrical Energy Management Network meters are mounted on the control panels near
the feeders and loads. The mounting of the meters are carried out as follows.
| |
Location |
Type of meter preferred |
Benefits achieved |
| a. |
At incomer |
Smart Demand Controller –
EM 3460 |
- Maximum Demand
Control
- Cross checking
Electricity of board
readings
- Monitor quality of
incoming power
|
| b. |
At power control
centers, motor control
centers. |
Trivector Monitors (EM
3480) and Power and
Energy Monitors ( EM-3360) |
- Quality of power
- Sectional Energy
Monitoring
- Sectional Energy
performance reporting
|
| c. |
Critical end loads like
HT drives,
compressor, vacuum
pumps etc., |
Power and Energy Monitor
(EM – 3380) |
- Load Energy
consumption
- Load diagnostics
- Load run hours
|
| d. |
Non-critical end loads
like pumps, blowers,
conveyors etc., |
Energy Meters (DM5240) |
- Load Energy
Consumption hourly, shift
wise, weekly and monthly
|
| e. |
Critical long distance
loads like remote
mines, remote
substations, remote
water pumps. |
Modem communications
interface (see figure-2) |
- Uses existing
telephone lines
- Saves on data cabling
costs
|
6.0 Conclusion
Continuous process plants can redefine the way they undertake Energy Management Studies by
using modem Energy Management Technologies, giving fast Energy savings and fast paybacks,
which in most cases has been less than a year. This is clearly a viable option for many industries
where survival and growth are clearly defined as their organizational goals.
Case Study
A leading automobile manufacturing industry in South India manufacturing heavy vehicles, with
more than 20 Departments and Shop floors and a very large Electrical Network identified the
following and solved the same with the help of Energy Management Networks.
Though it was rest time for machines during lunch, the engineer found that nearly 200 to 300 units
of power go wasted at the shop floor. This wastage and reports of leakage's made him work on an
alternative energy monitoring system that would instantly point the source. Brainstorming sessions
with the Energy Conservation Cell cued the installation of a central monitoring system.
A computerised energy management information system has been put to operation. This involved
installing an Conzerv Smart Demand Controller at the main receiving station and nine power and
energy monitors at the substations. The analog meters (which are not that very accurate) at the
nodal points were replaced with digital meters. This network transfers critical electrical data such
as volts, amps, frequency, kilowatts and powerfactor to a central PC at the maintenance
department. A eLANTM software package in the central station controls all the functions – pooling
the nodes, acquiring the data, filing and analysing it.
The system helped in collecting shop-wise, shift-wise data. The process does not stop with
monitoring alone. Once they knew that there is erratic consumption at a particular shop, the
Manager is sounded and action taken. The system has thus helped in streamlining energy
consumption in tune with production levels.
The investment for the above system is 158,328 US Dollar and the overall savings through the project is
678,549 US Dollar. The payback period is 3 months. The central PC acts as veritable data bank to help
prepare trends, profiles, reports for further analysis and comparisons' with consumption patterns
of the past.
Also a steep fall has been reported in power consumption during lunch time to just 38 units. |