Real Time Acquisition and Web Visualization of Customer Meter Data. Stephen Perkins Enwave Energy Al Thong Matrikon Inc.



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Real Time Acquisition and Web Visualization of Customer Meter Data Stephen Perkins Enwave Energy Al Thong Matrikon Inc.

Agenda The The Problem: Why Real Time Data Acquisition? The The Alternatives The The Implemented Solution

District Cooling System Single Deep Lake Water Cooling Plant delivering 60,000 Tons 7 km of underground distribution network serving 46 buildings. Customers include data centers, convention centre, retail, commercial buildings, residential, institutional

Distribution Network 1.5 Miles 1.0 Mile

Temperature Control Uses lake water for free cooling CHW to 41 F and chillers to polish from 41 F to 38 F. Chiller polishing significantly increases the cost of production but is required on hot days to satisfy customers

Flow Control 70,000 USGPM & 2500 HP of CHW distribution pumping Makes up half of cooling production costs Delta P staging of pumps is reliable but conservative

Operational Issues Without feedback on customer cooling demands, plant can t optimally start & stop temperature polishing. Pump staging must also run conservatively.

Operational Issues Diverse nature of customers makes prediction of demands difficult. Need to conservatively run to ensure customer satisfaction. Real time data from customers would allow the latest start of polishing and pumping to be estimated within minutes rather than hours

Customer Issues Being able to see customer status in real time would allow better dialogue with customer operations staff when there are problems excessive flow demand or low return temperatures to be identified quickly

System Requirements The data should be available anywhere : At the plants At corporate office At staff homes Simple retrieval of historical information: For quick problem solving For system optimization

System Requirements Scaleable Reliable Economic Flexible Fast

Agenda The The Problem: Why Real Time Data Acquisition? The The Alternatives The The Implemented Solution

Which System? The data sources are diverse and distributed. No advantage to expand an existing system. Collection and display of data is the priority, not control. Elected to introduce a new dedicated system, optimized for this purpose. After reviewing various market vendors Enwave selected Matrikon to partner with to develop a solution based on their ProcessNet application

TALK / DATA TALK RS CS TR RD TD CD TALK / DATA TALK RS CS TR RD TD CD TALK / DATA TALK RS CS TR RD TD CD TALK / DATA TALK RS CS TR RD TD CD TALK / DATA TALK RS CS TR RD TD CD System Architecture Enwave Office Enwave Plant Private Computer Internet Web Server Historian Data Concentrator Telephone Lines Modem Modem Modem Modem Modem Meter Meter Meter Meter Meter Customer Sites

Networking Multiple forms of networking options were evaluated. Performed cost analysis on initial and operating costs along with other priorities outlined by Enwave

Networking Ranked issues according to importance: 1. Installation Costs 5. Scalability 2. System Reliability 6. Installation Time 3. Operating Costs 7. Data Security 4. Management & Support 8. Data Throughput

Solution Alternatives Criteria Enwave Priority Analog Modem Fibre- Optics Free- Space Optics VPN over DSL Frame Relay Installation Costs 1 1 5 4 3 2 System Reliability 2 4 1 3 5 2 Operating Costs 3 1 2 3 4 5 Management & Support 4 4 2 3 5 1 Scalability & Expansion 4 1 4 5 2 3 Installation Time 6 1 5 4 2 3 Data Security 7 4 1 2 5 3 Data Throughput 8 5 1 2 3 4 Enwave Totals 139 115 93 85 123

Networking Solution Modem solution was the lowest cost and also the solution that scored the highest in the KT Analysis

Data Sources - Customers Interface with CHW BTU metering and flow control panels at each cooling customer site. Modern DDC installation made connection relatively simple. Modbus Connection via Modems.

Data Storage A historian application is used to record the data transmitted from the customer and plant sites. Operates on the server in Enwave administration office. High storage capacity through data compression and recording techniques.

Display of Data Web Visualization Microsoft IE for Visualization Java Technology Tree Structure for Navigation No client installation Secure Internet Access

Agenda The The Problem: Why Real Time Data Acquisition? The The Alternatives The The Implemented Solution

Questions