AVReporter - Case Study on Redundant Enterprise Energy Management System
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www.konsys-international.com ENERGY MANAGEMENT, SAVE ENERGY, ENERGY MANAGEMENT SOFTWARE, ENERGY MONITORING, INDUSTRY ENERGY EFFICIENCY SOFTWARE, ENERGY USAGE, ENERGY MANAGEMENT SYSTEM, REPORT AND DASHBOARD, COST ALLOCATION AND BILLING, ISO50001, ENERGY PERFORMANCE CERTIFICATION OF BUILDINGS, REPORTING AND DATA VISUALIZATION TOOL
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Transcript of AVReporter - Case Study on Redundant Enterprise Energy Management System
www.konsys-international.com
ENERGY MANAGEMENT, SAVE ENERGY, ENERGY MANAGEMENT SOFTWARE, ENERGY MONITORING, INDUSTRY ENERGY EFFICIENCY SOFTWARE, ENERGY USAGE, ENERGY MANAGEMENT SYSTEM, REPORT AND DASHBOARD, COST ALLOCATION AND BILLING, ISO50001, ENERGY PERFORMANCE CERTIFICATION OF BUILDINGS, REPORTING AND DATA VISUALIZATION TOOL
Data from
field devices
2 Realtime Workstation (1 Flow & 1 Electrical) 24-hour monitoring
20 Plant Personal Dektop Workstation
30 Site Manager Web Client
Calculate and Generate Invoice for 300 subfactories (Monthly)
Calculate Virtual Quantities:
- Demand calculation (Gas, Electricity & Flow)
- Energy forecasting
- Consumption for cost allocation places
AVR Connection Center & Virtual Device Manager
Import data from external datasources for
calculations
(excel file and database)
AVReporter Energy Management Solution
Export calculated data to OMMS System (ERP)
Manual input
data or import
Manual input
data or ipmort
SQL Server Jobs
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AVReporter Energy Management Solution
DLMS protocol OPC Server IEC1107 protocol
Gas, Water & Flow meters, etc.
Plant Personal
Site Manager Central Management and Accounting
PLCs Electrical Revenue Meters Electrical Revenue Meters
Communication layer
Mirroring
Desktop & WEB client OMMS System (ERP)
Hardware: 2x DELL T610 Server
CPU: Intel Xeon 16 Core
RAM: 32 GB
Hardrive: 9x 10000 RPM per server
ODBC Connection
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AVReporter Energy Management Solution
Mirroring
6 000 000 number of data rows logging to SQL server/day
Operating system #1 SQL Server Data #2
Hard drive and Raid Configuration:
SQL Server Log #3
Database growing per year: 100 GB
Operating System: Windows Server 2008 R2
Enterprise Edition x64
SQL Server: Microsoft SQL Server 2008 R2
Enterprise
2x1TB RAID 1 – 64K stripe
– NTFS cluster 64K
4x600GB RAID 10 – 64K stripe
– NTFS cluster 64K
2x600GB RAID 1 – 64K stripe
– NTFS cluster 64K
Virtual Calculation 800 quantities per minutes
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AVReporter Energy Management System Maintenance and Backup
SQL Server Datacentre Maintenance:
• frequency of performing the maintenance duty is 3 months
• maintenance duties:
• control of capacity
• index examination
• elevation of index fragmentation
• analysis of logged faults and their correction
• the checking of the saving security
• checking the working order of the drivers
• load testing
• checking of the data deletion
• archiving of the system logs and event log
Database back-up:
• transaction log hourly back-up
• differential back-up every other day
• full back up every week
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Key elements for system planning and implementation
When building such a huge or similarly complex energy management system special attention should be paid to the following system characteristics: • the HDD performance and the number of IO expressions dictate high attention to
detail when logging huge amount of data • when handling a huge database it is advised to handle the operation system, the
SQL database and the SQL Logging data in a separate RAID • also it is highly important when building such a huge and complex system to
choose a hard drive with the right speed. Slow hard drives it is not possible to complete virtual calculations between the SQL data.
• When using huge quantities of virtual meters take advantage of the Realtime Virtual Meters instead of the Advanced Virtual Device Manager, as this one runs the calculations between the data stored in the SQL data base, which means more demanding IO expressions and strain on the SQL server. The Realtime Virtual Meter runs the expressions in the memory, so needs a lot less capacity.
• When operating high numbers of pre-scheduled reports, the report generation should not be all done at once in avoidance of the possible overloading of the SQL server.
• The old and not any more necessary data’s deletion should be done regularly in smaller batches to keep the performance of the SQL server steady. Also the deletion for huge data quantity can block the SQL server’s logging.
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