K-Electric faces business challenges around lack of real-time decision-grade data and plant monitoring across its power generation facilities. This document proposes implementing a virtualized plant data historian system using PI Server to integrate operational data from K-Electric's different power plants in real time. This centralized system would provide real-time performance monitoring, optimization, and reporting capabilities to help K-Electric address issues like fuel optimization, emissions monitoring, and economic dispatch. The proposed solution involves installing virtualized servers and OPC interfaces at each plant to historian plant data in the cloud and make it accessible through a centralized portal.
4. Business Challenges for KE:
Decision-grade data not available when needed
Plant monitoring is decentralized--- individually at different locations within the plant
No Standardized Performance Calculation tool for determining heat rate, material balance
and KPIs in real-time
No integration of plants operational data with KPI calculation & reporting
Costly and scarce fuel availability raises serious optimization challenges
Combined economic impact of different power plants not available in real time.
Data acquisition processing and calculations are man hour intensive
5. Advantages of Real Time Fleet Performance
Optimization
Enables real-time integrated data reporting and visualization tools to identify new optimization opportunities i.e
instead of isolated monitoring of individual plants; Collective /Fleet performance can be monitored
Enables real time remote monitoring and archiving of deviations in operation parameters and plant
performance
Maintenance planning and availability improvement. Potential identification of faults before they
occur
Identification of generating units where fuel consumption is higher; focus on causes resulting in fuel
wastages
Real Time Environmental Monitoring; Leads to reduction in Green House Gases
Essential for Economic Dispatch. Provides data on Loading Optimization of the Stations .
Analysis of Steam. Feed-water, condensate, air-fuel parameters would assist in efficiency improvement and Aux
Power reduction measures in real time
6. Measure to Manage Approach
“You cannot Manage (effectively)
what you cannot Measure
(Accurately) ”
- Jack Welch
9. Utilize an IT approach to Implementation a redundant system and
Systems Management
05 Distant Plant Locations
05 FT PI Historian Servers (Virtualized High Availability)
01 Central FT PI Server & Portal Server HO
05 Interface/Buffer Nodes
09 OPC Servers for DCS’s/PLC’s
(Honeywell, Rockwell, ABB, Emerson, GE, Siemens)
05 Individual NAS
05 3G/4G Modems as backup communication with HO
Users for Excel, Process Display and Web Portal
Cyber security and Network security via firewalls
12. Cabinet Details
• Essentials
– 02 Dell Rack Mounted Servers
– High Speed Switch
– X TB Storage Attached
– VMware, vSphere , vCenter
– OPC Buffer VM’s
– Historian VM’s in High Availability
– 24U Server Cabinet
– Cisco Firewalls
13. Why KE chose Virtualization
• Extended lifespan & easy replacement
• System should be able to run for
years
• Increased reliability
• High Availability of the system
• Virtual Redundant Systems
• Competitive Software Licensing
• KE IT already managing Virtual
Infrastructure
• Reduced operational and lifecycle cost
• Simplified administrative procedures
• Standardized SOPs for Disaster
Recovery Procedures.
• Avanceon – Solutions Expert in the
market