IDEA Annual Conference 2007

1. IDEA Annual Conference 2007 System Modelling and Optimization to Enhance Operations Efficiency and Reliability: A Case Study from University of New Mexico Lawrence Schuster, University of New Mexico and Thomas Samuely Lund-Hansen, 7-Technologies Scottsdale, Arizona, 18 June 2007

2. Content UNM District Energy System Overview UNM DE Fact sheet, System, Plant and Distribution network Introduction to System Modelling and Optimization Why UNM decided to focus on System Modelling and Optimization Describe UNM system architecture and how Termis is integrated Examples of the benefits/savings already realized Engineering, operation, maintenance, planning enhancements and overviews Hands-on online system demo Future Benefits Control room tools for the plant operators Engineering, operation, maintenance, planning enhancements and overviews

3. The Problem • In the early-90’s UNM recognized that the existing utility production and distribution equipment was unable to meet the needs of the main campus • The utility equipment was old, unreliable, and inefficient – resulting in higher operating costs and costly outages • UNM implemented a $60M project that almost completely replaced the existing equipment

4. District Energy System Overview UNM DE Fact sheet - Technical data: Chilled water network: Steam network: - 11,200 Tons (40 MW) -192 million BTU/hr (56 MW) - 15,000 gpm (3,400 m3/h ) -160,000 lbs/hr (56 m3/h) - 95 buildings as consumers - 100 buildings as consumers - 11 miles (18 km) main pipe - 6 miles (9.5 km) main pipe - Supply press 60 psig (4 bar ) - Supply pressure 120 & 40 psig (3 & 8 bar) - Supply temperature 40 F (4 C) - Supply temperature 350 F (175 C)

5. Utility Equipment

6. District Cooling Configuration Direct Primary Variable Flow

7. Piping in TunnelDirect Buried Pipe

8. Looking South CHILLED WATER DISTRIBUTION PIPING

9. System Modelling and Optimization Why UNM decided to focus on System Modelling and Optimization: The University of New Mexico desires to invest in a Comprehensive District Energy System Simulation Suite (DESSIM) capable of (a) simulating, analyzing and reporting various district energy system (DES) pipeline network conditions, including but not limited to, systems' performance characteristics such as pressure, temperature, flow, etc.; specific operating costs and other system characteristics for the purpose of analyzing the operating condition of UNM's steam and chilled water utility systems and energy applications, (b) simulating and predicting systems’ conditions utilizing static information from graphical information sources (GIS) or real time data provided by third party applications for purposes of optimizing the operations of UNM’s DES assets, and c) simulating and predicting the systems’ performance when subjected to additions, deletions, relocations, and other modifications to the systems’ operating conditions. To Enhance Operations Efficiency and Reliability – The Dashboard Convert data to information

10. SCADA Architecture Bldg 1 DDC Panel ME -1 Module BUMP Panel Bldg. 2 Bldg. 1 Bldg. 3 Network FieldServer & CIRT Rack Real-TimeWebServer CUP #1 CUP #2 SQL Server TERMISServer

11. System Modelling and Optimization • Plant and network system configuration uses existing SCADA without field access through SQL Server • Adds value to SCADA system • Can easily be expanded from a few points necessary for accurate simulation to the entire SCADA

15. Proposed Additional Uses CONTROL ROOM TOOLS FOR THE PLANT OPERATORS Operator interface in design MODEL THE OPERATION OF VALVING TO DETERMINE HOW BEST TO CONFIGURE THE SYSTEMS FOR MAINTENANCE OF VARIOUS PIPING SECTIONS.  DETERMINATION OF DETERIORATION USING THE CALCULATED ROUGHNESS IN THE MODEL AS AN INDICATOR OF WEAR MODEL THE BEST CONNECTION TO THE SYSTEM FOR BUILDING ADDITIONS RATHER THAN LETTING THE ENGINEERING CONSULTANTS DECIDE WHERE TO CONNECT ON PURELY CONSTRUCTIBILITY ISSUES A Knowledge database with all planning and operational data stored

16. Using the arrows, the operator can easily toggle his way forward or backwards – to suit his needs – without any TERMIS knowledge. TERMIS Operation Pressure Flow Temperature1 Temperature2 Velocity Heat Loss The operator can – with a single click on the mouse decide if he wants to see data for: • Pressure • Pipe flow • Supply Temperature • Return Temperature • Pipe Velocity • Heat Loss

17. The system can identify which actions will cause problems in the future. TERMIS Operation Pressure Flow Temperature1 Temperature2 Velocity Heat Loss Example 2: A valve is simulated closed by the operator • By the click of a mouse directly on the screen, or in a valve matrix in an excel sheet, the operator can close a valve. 16.30 • Any shortcomings are automatically identified.

18. Examples of current benefits/savings During online demo: Engineering, operation, maintenance, planning enhancements and overviews Closing one steam pipeline to the north area on your campus to optimise the operation and delivery to that campus area:  “WE DIDN'T EVEN REALIZE THE SYSTEM WOULD WORK FINE WITHOUT THE PRESSURE REDUCING VALVE” Optimisation of delta T due to monitoring return temperatures “ALTHOUGH WE MONITOR THE TEMPERATURES, WE DO NOT HAVE DIRECT CONTROL OF THEM.  ANOTHER AREA OF THE PHYSICAL PLANT IS RESPONSIBLE FOR BUILDING OPERATIONS” Optimisation of supply pressure and temperature to the buildings  “WE MONITOR THE MINIMUM PRESSURE TO MAKE SURE IT IS SUFFICIENT TO SUPPLY THE BUILDING REQUIREMENTS”  Always an updated system model – a real-time “what if” scenario

19. Questions? Real time distribution network life cycle optimization and control of cost – Cross organizational information tool - Cost minimized decision making at all levels - Efficiency, optimization and reliability - Real time what if scenarios – Always in control – Preventive and predictive – The right information to the right person(s) at the right time to make the right decision – Be in control instead of being controlled Larry Schuster, P.E. Thomas Samuely Lund-Hansen, P.E. MBA Utilities Engineer Vice President - The Americas University of New Mexico 7-Technologies schuster@unm.edutlh@7T.dk www.unm.eduwww.7T.dk Phone   505-277-6978 Phone 645 270 3897 Fax    505-277-3671 Fax 845 406 4586