Continuous Commissioning at Sandia National Laboratories · BTU NM PSEL Weather Solar PV Generation...
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Rhode Island Convention Center • Providence, Rhode Island Continuous Commissioning at Sandia National Laboratories Session: Why On‐going Commissioning Can Lead to Better Performing Buildings Jack Mizner Sandia National Laboratories August 10, 2016 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.
Transcript of Continuous Commissioning at Sandia National Laboratories · BTU NM PSEL Weather Solar PV Generation...
Rhode Island Convention Center • Providence, Rhode Island
Continuous Commissioning at Sandia National Laboratories
Session: Why On‐going Commissioning Can Lead to Better Performing Buildings
Jack MiznerSandia National Laboratories
August 10, 2016Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.
Energy Exchange: Federal Sustainability for the Next Decade
Sandia’s Sites
2
Albuquerque, New Mexico Livermore, California
Waste Isolation Pilot Plant,Carlsbad, New Mexico
Kauai, Hawaii Pantex Plant,Amarillo, Texas
Tonopah, Nevada
LEED Buildings: 11 Avg. Bldg. Age: 38 yrs.
Workforce: >12,000 Major buildings: 225Space: 7.4 million GSF
Physical area :188,000 acres Paved roads: 49 milesUnpaved roads: 38 miles
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Energy Use Breakdown
Electric: 284,410,778 kWh
Natural gas: 340,278,252 SCF
Total Energy Use: 1,310,730 MBTUs
Total utility costs: over $19M
Energy Exchange: Federal Sustainability for the Next Decade
• Building types: – Semi‐conductor fabrication; – Pulsed power reactors; – Data centers; – High security;– Cafeteria; – Auditorium; – Warehouse; – Nuclear facilities– Explosive facilities
Buildings and Space
• Space types: – Offices– Laboratories:
• chemistry, • biology, • electronic, • laser labs; • computer
– Clean rooms; – High‐bays; – Computer rooms
Energy Exchange: Federal Sustainability for the Next Decade
Energy Audits & Retro‐commissioning
Conduct Audit
Maintenance
Complete Report
CapitalImprovements
Building AutomationSystem
Types of ECMs
UFN
Correct Code
Service Request
Energy & Water Audits 4‐year schedule top Energy
Consumers Led by Operations team per
process using checklist ASHRAE Level II
Retro‐commissioning or Energy Conservation Measures (ECM) Identified & implemented per SNL
Facilities processes
Correct per Maintenance Schedule
Fund based on ROI & Criteria
Load Profile & Energy‐Use Baseline Annual Load Profiles & Energy Use to
verify savings Energy Models
Facility Management System
ServiceRequest
Energy Exchange: Federal Sustainability for the Next Decade
Energy Data Warehouse
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SQL Data Warehouse
Analytic Software
EnergyDashboard
EnergyModeling
R&DOptimization
BASServers
Data TransferServer
MetersElectric
Natural GasBTU
NM PSEL WeatherSolar
PV Generation
Energy Exchange: Federal Sustainability for the Next Decade
Energy Dashboard
Graphs are displayed in kWh Graphs are displayed in MCF
The average use per day in kWh was The average use per day in MCF was13,018 32.06
Building 701
Electrical Use Awareness Bulletin Gas Use Awareness Bulletin
Building 701
0200000400000600000
kWh
Month
Building 701 Electric Use History
FY15
FY16
0
100,000
200,000
300,000
400,000
500,000
This Month,March 2016
Last Month,February
2016
This MonthLast Year,
March 2015
Building 701 Electric Use
kWh
0.00400.00800.00
1,200.001,600.002,000.00
MC
F
Month
Building 701 Gas Use History
FY15
FY16
0.00
200.00
400.00
600.00
800.00
1,000.00
1,200.00
This Month,March 2016
Last Month,February
2016
This MonthLast Year,
March 2015
Building 701 Gas Use
MCF
Energy Exchange: Federal Sustainability for the Next Decade
IX Building Module Architecture
2. User Interface ; Create a Scenario
SelectBuildings
SelectECMs/OCMs
3. Run Scenario
Sim
ulat
ion
Eng
ine
Energy savings of one or many ECMs for one or many years by:
• ECM• Building• Building type• Groups of
buildings (TAs)• Site (NM or CA)• Whole lab
Dat
abas
e
SelectYears
Background data such as central plant network information
VBA Wrapper in Microsoft ExcelVBA Wrapper in Microsoft Excel1. Design ECMs and Assemble
Building Models4. View Results
5. Cost Analysis
Building Models
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EnergyModeling
Energy Exchange: Federal Sustainability for the Next Decade
eQUEST
EnergyModeling
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IX Software EnergyModeling
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Results
IX uses a pivot table of the results database to make reducing to specific results or aggregating to site‐wide results easy.
EnergyModeling
Energy Exchange: Federal Sustainability for the Next Decade
Initiative Savings
Lighting retrofits 0.5%
Digital Control Conversions
6‐10%Free‐cooling heat exchangers
Central Plant Upgrades
Clean Room modifications (filters and reduced air flow)
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Energy Saving Opportunities
Energy Conservation Measures Operational Conservation Measures
Initiative Savings
Office (T Set and Operating hours)
1‐1.5%
Lab (T Set and Operating hours)
3‐7%
Ventilation setback (labs) 2‐3%
Eliminate 24/7 operations 2‐3%
Retro‐commissioning, Analytics
1‐2%
EnergyModeling
Energy Exchange: Federal Sustainability for the Next Decade
Cool Roofs ‐ Percentage Savings
• Site‐wide energy savings for this ECM is only 0.4%
• If cool roof and insulation costs are high, other ECMs may be more desirable
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‐0.10%
0.00%
0.10%
0.20%
0.30%
0.40%
0.50%
2012 2017 2022 2027 2032 2037
SNL NM/CA Site‐wide Percent Energy Savings
Optimal
Average of 4 Random Cases
EnergyModeling
Energy Exchange: Federal Sustainability for the Next Decade
Institutional Transformation (IX)
• Parameter studies of many– Buildings– Energy conservation measures (ECM)
– Years
• Climate• Current version 2.5• Future version 3.0
‐60.0
‐40.0
‐20.0
0.0
20.0
40.0
60.0
80.0
100.0
2020 2050 2080
Energy Savings (B
illion BT
U)
IX SNL CA/NM Energy Savings HAD CM3 A2 Climate Scenarios
Total Electricity
Total Gas
0.000.200.400.600.801.001.201.401.60
0.7 0.6 0.5 0.4
Site‐W
ide % Ene
rgy Savings
Site‐wide Maximum Chiller Efficiency at Full Load (kW/ton)
SNL Chiller Efficiency Study
EnergyModeling
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Basic Central Air System Analytic Software
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DIGITAL CONTROL OUTCOME [70 Degree Air]
Manner of delivery is as important as outcome … ‐ Automatically Driven‐ Stability via Tested Programming‐ Optimized Sequencing ‐ Proven Efficiency Using Employed Metrics‐ Self Diagnosing Reliability
Purely End Result Oriented… ‐ Operator Driven‐ Reliable‐Metrics: Non Existent‐ Field Efficiency is Subordinated‐ Unrealized Design Intent
TWO METHODS: SAME OUTCOMEDIFFERING ENERGY IMPACT
Building Operations Analytic Software
Energy Exchange: Federal Sustainability for the Next Decade
Case Study – Sensor Disturbance
• Office/Lab Building • Cooling options: chiller and evaporative cooling• Fall day
– 75 degrees F; 15% Relative Humidity• Building temperature is with limits and occupants are not complaining.• Chilled water valve is open, electric chiller is running and economizer/evaporative
cooling system is off.• WHAT WENT WRONG?
Analytic Software
Energy Exchange: Federal Sustainability for the Next Decade
Case Study – Human Disturbance
• Office Building: carpet was cleaned during the weekend.
• HVAC system was placed in 24/7 operations to remove carpet cleaning odors.
• eQuest model; encountered difficulty in calibration process.
• WHAT WENT WRONG?
Analytic Software
Energy Exchange: Federal Sustainability for the Next Decade
• ONE BUILDING ‐ ALBUQUERQUE SITE• 25 RULE BASED ANALYTICS
Analytics Pilot ProjecteQuest Runs to calculate savings based on Findings from Pilot Project:
• AHU Start Time Not Optimized (1.5 hour excess run time)
• AHU Fan Speed Fixed• AHU Supply Air Temperature Fixed• AHU Economizer Not Implemented• Hot Water Supply Temperature Fixed
Analytic Software
Energy Exchange: Federal Sustainability for the Next Decade
Building 899A 150 ton screw chiller fault detection
Advanced Fault Detection
• Fault criteria which vary with time• Rules based on gray‐box model parameters• Parameters estimated by Kalman filtering
R&DOptimization
Energy Exchange: Federal Sustainability for the Next Decade
Big Modeling and Data
Capability to approach sustainability with an unprecedented level of detailRobustly detect faults
119 Doe2 Models and IX 250,000 Data streams
+
Model Parser
+
=+Advanced Analytics
R&DOptimization
Energy Exchange: Federal Sustainability for the Next Decade
• Jerry Gallegos• Daniel Villa• Marlin Addison• Birk Jones• Mary Bultmann• Jim Sweeney• LaTonya Walker
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QUESTIONS
THANK YOU!
THE TEAM
