Published On: Sep 18, 2015
A loss, in general, is to be avoided. Of all the various types of losses, economic loss is probably the most passively occurring of all.Essentially, economic loss isa loss wherein an organization or an individual loses money. It refers to financial loss and damage suffered that can usually be seen in a balance sheet or other financial statements rather than as physical injury or destruction.For a business entity, it is primarilymanifested as a revenue lossor cost overrun.Not surprisingly, the accumulated financial losses of Indian utilities are continuously soaring up and the industry cannot afford to wait longer for a turnaround. While existingutilities evaluate and measure parameters like AT&C loss, power reliability, effici¬ency and others; there is very limited or no evaluation of Power Quality (PQ) related parameters which are also contributed to economic losses.
Economic losses due to poor PQ area majorconcern for all stakeholders involvedincluding utilities, high-end industries and individual customers.Basic requirementssuch as computers, telecommunications equipment and other sensitive equipment, etc. havebecome advanced.We have become dependent on electronic or digital products which are sensitive and prone to high PQ incidents and related losses. One study undertaken by Wartsila India, in 2009, estimated that India suffers a staggering economic loss of INR 1000 Billion, because of power disturbances, primarily because of outages that is absence of supply in itself. Refer our previous blog for more details on Are Developing Economies at risk due to power quality issues and challenges?
This blog attempts to highlight the key economic loss incidentsthat occur due to poor PQ and the need to evaluate and mitigate them.
Some of the prominent incidentsresulting in economic loss due to poor PQ are,
The economicallosses that are observed more often are mainly due to the costs that are involved in the maintenance, setup or replacements of the devices which comes out as faulty or improper for use. Poor PQ, thus, is a big obstacle in achieving higher economy in terms of cost and services adding up to competitive pressures.The economic analysis of investments is one of the fundamental steps in any financial decision process. PQ mitigation investment options need to be evaluated in a systematic manner considering the financial impacts of PQ issues by all stakeholders involved and the costs associated with different alternatives to improve PQ performance. The selection of an optimum mitigation method is a big decision for utilities and high-end industrial customers. PQ mitigation investment should be considered as insurance coverage rather than only investment approach, as it prevents highly sensitive equipment from high losses in the long run.
The economic evaluation of PQ issues is one of the main problems the power system is facing.In a world, where every day more and more electronic devices are connected to the power grid a poor PQ has huge financial impact on industries.The factors responsible for this impact are most times unclear and very often difficult or costlyto monitor. Therefore, the economical evaluation of this impact is even more cumbersome.Evaluation also seeks for the determination of actual costs that are to be invested for lessening the other economical impacts. There is a need ofdefined strategies or action plans to avoidsuch losses which involves the following costs due to PQ disturbance:
In efficient businesses, all issues need to be resolved and so should be the case with issues arising out of PQ. Following measures can be considered for bringing down the level of effect caused due to poor PQ are,
PROBLEM STATEMENT: Hindustan Coca Cola Beverages Pvt. Ltd. (HCCB) plant in Khurda Industrial Estate in one of the largest and key bottling facilities with 2400 bottles per minute capacityacross different service lines. For the last few years, Khurda Industrial estate has been experiencing poor quality of incoming power from Odisha State Electricity Board (OSEB) and all major industries (including HCCB) in this estate have been impacted badly due to this issue. The plant was facing problem of stoppage of production line thereby causing loss of productivity. The problems were mainly due to interruptions in power supply and under voltage events. After each power supply interruption, there was some time required to resume productivity.
Sr. No. |
Line |
Line running time after power resume (in mins) |
Production Capacity per hour (No of cases per hour) |
Load factor |
Actual Cases Lost |
Monetary Loss (in Rs per event) |
---|---|---|---|---|---|---|
1 |
Krones |
15 |
1500 |
80% |
300 |
3168 |
2 |
Maaza |
12 |
1500 |
80% |
240 |
2534 |
3 |
RGB |
10 |
1500 |
80% |
200 |
2112 |
4 |
Kinley |
10 |
300 |
80% |
40 |
422 |
5 |
PET- 140 |
15 |
933 |
80% |
187 |
1970 |
Total Loss |
10207 |
Table 1. Shows monetary loss plant was facing due to each event of supply interruption
Month |
Unscheduled Power cut |
Unbalanced Voltage |
Total No. of Occurrences |
---|---|---|---|
No. of Occurrences |
No. of Occurrences |
||
January’14 |
10 |
9 |
19 |
February’14 |
17 |
8 |
25 |
March’14 |
45 |
42 |
87 |
April’14 |
68 |
51 |
119 |
Table 2. Power supply interruptions in each month
From above table it can be seen that from January to April 2014, number of under voltage and unscheduled power supply interruptions were 250. With cost of each event estimated to Rs. 10,207, the plant had a loss of about Rs. 25,51,750 during this period. Combining, PQ and other losses due to higher energy cost, loss in productivitythe plant had a economic loss of around Rs. 62 million per year.
SOLUTIONS ADOPTED: The plant took various measures like automatic switch over system for DG sets during power failure, forward and reverse synchronization system, and SCADA system. The SCADA system helped to monitor the voltage profile more closely and the team could identify cause of malfunctioning of various sensitive equipment. Further, in order to find more reliable solution during the un-scheduled power interruptions and voltage variations, the plant team carried out a detailed power quality audit to discover reasons of voltage variations. Measurements were carried out at all critical locations and logged for longer duration of time to record number of events and duration of each such event.In order to protect its failures and loss of productivity, based on the power quality study and its finding, the plant team decided to install two numbers of UPS each of 600 kVA at critical locations to avoid breakdown arising due to voltage variations and unscheduled power interruptions.
BENEFITS ACHIEVED: By implementing above solutions, the plant carried out regular measurement and analysis of voltage profile, current and total harmonic distortions and its deviations were brought down close to standard limit as per the standards. The plant ensures regular power quality monitoring and thereby avoids production and economic loss.
For detailed case study, refer link – Distribution Network Voltage related Power Quality issues in a food and beverage industry
It is clear that poor PQ causes techno-economic inconveniences to different stakeholders connected in thenetwork.The economic losses incurred by the end users due to poor PQ are substantial and with proper attention suitable measures can be mitigated. While accurate estimation of loss is impossible as the root-cause is often not identified correctly,however, to select an optimum PQ mitigation method in the network, a detailed cost-benefit analysis is to be carried out by the involved parties.Intelligent and efficient PQ monitoring will provide the utilities and end users information needed to validate compliance, improve system stability, and eliminate unplanned downtime thereby contributing to the overall turnaround of utilities and their services for end users.
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