James Donahue Control Consultants, Inc.

Transcription

1 James Donahue Control Consultants, Inc.

2 Founded 1989 NE s premier distributor of Building Automation products Customer Base: Controls Contractors and Systems Integrators In-House Engineering Department Consulting / Design / Support

3 Consulting and Engineering Industry Trends DDC Control Open Systems IP Controls IoT Analytics

4 Your Building Has Something to Tell You Are you ready to listen?

5 Analytics is Leveraging the information your building already has to offer In order to make better informed decisions Which result in improved energy usage, equipment operation and occupant comfort

6 Software Embedded in some control systems Stand Alone software in other cases Hosts Edge (controller) Enterprise (PC, Server) Cloud Components Database Algorithms Visualization

7 Analytics is not Control Analytics is intended to optimize control

8 Analytics is not Control Analytics is intended to optimize control

9 Analytics is not Alarming Analytics is intended to find issues before they become alarms Vs. Analytics Alarms

10 Analytics is not Alarming Analytics is intended to find issues before they become alarms Analytics Alarms

11 Analytics is not a magic bullet Software alone will not resolve the issues in your building It s the actions you take based on these findings that will create meaningful results

12 What s the Magic Formula? Points Histories Tags Algorithms

13 Discharge Air Temperature Occupancy Pump Status Outdoor Air Humidity Heating Demand Chiller Command Electrical Demand (kw) Damper Feedback Fan PID Proportional Static Pressure Setpoint Pump VFD Speed Differential Pressure Temperature Setpoint Terminal Load Steam Pressure Basin Water Temperature Water Consumption Hot Water Valve Position Water Flow Rate Gas Consumption Bypass Damper Position Fan Failure Alarm High Pressure Alarm Cooling Load Temperature Deadband Fan Runtime Outdoor Air Temperature Pump PID Integral Electrical Consumption (kwh) Space CO2 Zone Temperature Return Air Temperature Spray Pump Status

14 Discharge Air Temperature Occupancy Pump Status Outdoor Air Humidity Heating Demand Chiller Command Electrical Demand (kw) Damper Feedback Fan PID Proportional Static Pressure Setpoint Pump VFD Speed Differential Pressure Temperature Setpoint Terminal Load Steam Pressure Basin Water Temperature Water Consumption Hot Water Valve Position Water Flow Rate Gas Consumption Bypass Damper Position Fan Failure Alarm High Pressure Alarm Cooling Load Temperature Deadband Fan Runtime Outdoor Air Temperature Pump PID Integral Electrical Consumption (kwh) Space CO2 Zone Temperature Return Air Temperature Spray Pump Status

15 Discharge Air Temperature Occupancy Pump Status Heating Demand Electrical Demand (kw) Pump VFD Speed Differential Pressure Temperature Setpoint Steam Pressure Water Consumption Hot Water Valve Position Water Flow Rate Gas Consumption Outdoor Air Temperature Pump PID Integral Electrical Consumption (kwh) Space CO2 Zone Temperature Return Air Temperature Spray Pump Status

16 Discharge Air Temperature Hot Water Valve Position Return Air Temperature

17 Hot Water Valve Position is equal to ZERO AND Discharge Air Temperature is 5 degrees above Return Air Temperature Leaking Hot Water Valve!

18 Visualize Results To observe patterns and identify outliers Leaking Hot Water Valve

19 Visualize In Context To look for deeper meaning

20 Examples of Analytical Rules Equipment Rules Energy Rules

21 Examples of Analytical Rules Equipment: Leaking Valves / Stuck Dampers Simultaneous Heating and Cooling Equipment Short Cycling Un-tuned PID Loops Equipment Operating out of Schedule Equipment Operating in Hand Sensor Failure

22 Examples of Analytical Rules Energy (Electrical / Gas / Water ): Usage approaching/exceeds target Demand Spikes Optimized Load Profiles Baseline Comparisons

23 How to get started K.I.S.S. Have a clearly defined scope Get all parties on board owner, operator, contractor Start with a simple approach, and build (if necessary) as time goes on No Science projects!

24 Case Study Example: Duke Realty Strategy Inch Deep Mile Wide approach 122 of the firms 300+ office buildings Analyzed 2 points: kw and Occupancy Identified operational issues and opportunity for savings Issues Found Building Starting too early/late Building Running too late Peak Load outside of occupancy Choppy Energy profile (equipment cycling)

25 Case Study Example: Control Consultants, Inc. Strategy Mixed use building: office and warehouse, 12,000 sqft DDC control system (Niagara, Honeywell) Analyzed 3 points: Occupancy, RTU Fan Status, Heat Demand Issues Found 190 hours of RTU unoccupied runtime in single month 70% or heating requests were from entry vestibule Space not essential for occupant comfort Blanket set points for entire building Equal voting for all spaces

26 The answer depends on the audience Controls Contractors & Systems Integrators Energy Service Contractor Commissioning Engineers Building Owners

27 Controls Contractor & Systems Integrator Value Add for new projects Plan and Spec Service Contracts

28 Energy Service Contractor Identify Savings Opportunities Justify Capital Improvement Projects Measurement & Verification

29 Commissioning Engineers Streamline Commissioning Process Continuous Commissioning

30 Building Owners Improved Equipment Performance Increased Energy Savings Comfortable Occupant Environment

31 Understanding the Evolution of Analytics The Old Way Manual Process Sifting through graphs and history logs & responding to alarms Only available locally and onsite The New Way Software Based Analytics software that automatically identifies issues Enterprise applications, large scale The NOW Way IoT Based Connected devices bringing analytics to the edge Smaller scale and less expensive barrier to entry

32 IoT s Influence on Analytics More intelligence is expected at the edge Entrants from outside the industry challenging the norm Lower Cost of Software and Hardware Distributed Architecture makes small applications possible The emergence of IoT makes analytics possible in small buildings!

33 What s available to you today Plug and Play Model Thermostats and Controllers preloaded with algorithms Subscription Model 3 rd Party company hosts software and performs all analytics a-la-carte Cloud based Open Model Completely customizable analytic software You own the software, you make the rules, you decide where it lives

34 Plug and Play Solutions Honeywell LCBS Connect Easy to use Rooftop Unit solution WiFi thermostats Pre-canned Analytics performed in the cloud Pro s Zero Effort Low Cost Cloud Based data engine 21 st Century Small Building Solution

35 Open Solutions Niagara Analytics Analytics tool built in to Niagara 4 Pro s Pre-existing data model Intuitive Programming Algorithm Library Real-time analytical control Initial points are FREE

36 Open Solutions SkySpark Stand-Alone analytics software Pro s Powerful data engine Automatic Visualization Completely Customizable Can be hosted anywhere Vendor agnostic

37 Changing the game Low cost Software which can run on low cost Hardware + Analytics Software Raspberry Pi

38 Analytical tools can improve efficiency and operation of buildings Solutions appeal to large audience Analytics can be simple and elegant Emergence of Analytics in small building sector Products for the small building sector are on the market today

39 THANK YOU! James Donahue Control Consultants, Inc.