Software Tools and Modeling for Building Energy Efficiency

Transcription

1 Software Tools and Modeling for Building Energy Efficiency Polyisocyanurate Insulation Manufacturers Association (PIMA) Joshua New BTRIC Subprogram Manager for Software Tools & Models Oak Ridge, Tennessee June 8, 2016 ORNL is managed by UT-Battelle for the US Department of Energy

2 A brief history of energy and life quality 2 Maxlab Tour

3 A brief history of energy and life quality 3 Maxlab Tour

4 Energy Consumption and Production Commercial Site Energy Consumption by End Use U.S. Home, Avg. Utility Bill - $1,819 4 Maxlab Tour

5 Energy use by envelope components Quads Figure 2. Residential energy loads attributed to envelope and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September Cooling Roof Heating Walls Foundation Infiltration Windows (conduction) Windows (solar gain) Internal Gains Total Figure 3. Commercial energy loads attributed to envelope and windows Source: Building Energy Data Book, U.S. DOE, Prepared by D&R International, Ltd., September Quads Cooling Roof Heating Walls (2) Foundation Infiltration Ventilation Windows (conduction) Windows (solar gain) Internal Gains Total 5 Maxlab Tour

6 ET & CBI Modeling Tools Program Products: state-of-the-art & industrial strength EnergyPlus engine: established simulation engine Bentley, Trane TRACE, Autodesk, ASHRAE, CEC OpenStudio middleware: market-facing Xcel Energy, Sefaira, Concept3D Spawn-of-EnergyPlus: cyber-physical control Ecosystems: for developers & end-users Partner with companies & professional organizations Saves Energy Individual ECMs (5-20% savings) vs. Holistic optimization (30-50% savings) Prototype development, AEDGS, prescriptive guides, standards 600 TBTU / year by 2030 [BTO p-tool conservative] Will track integrative design & simulation use via AIA+2030 Commitment 6 Maxlab Tour

7 Roof Savings Calculator RSC = AtticSim + DOE-2.1E AtticSim - ASTM C 1340 Standard For Estimating Heat Gain or Loss Through Ceilings Under Attics 7 Maxlab Tour

8 RoofCalc.com website AtticSim DOE-2 8 Maxlab Tour

9 RoofCalc.com Impact Average: 64 visitors/day 100,000+ visitors, 200+ feedback 9 Maxlab Tour

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11 RSC Debug Selection of heating outliers All have box building type and in Miami, FL Energy to heat the building Jan Dec Climate Zone 11 Maxlab Tour Building Type

12 From Visual Analytics and Simulations To Actualized Energy Savings in the Marketplace DOE: Office of Science CEC & DOE EERE: BTO Industry & Building Owners Engine (AtticSim/DOE-2) debugged using HPC Science assets enabling visual analytics on 3x(10) 6 simulations CentiMark, the largest nation-wide roofing contractor (installs 2500 roofs/mo), is integrating RSC into their proposal generating system AtticSim DOE-2 Roof Savings Calculator (RSC) web site/service developed (estimates energy and cost savings from roof and attic technologies) 20+ companies interested Leveraging HPC & Vis resources to facilitate deployment of building energy efficiency technologies 12 Maxlab Tour

13 Model America - calibrated model for every US building

14 HPC scalability for desktop software Titan is the world s #1 fastest buildings energy model (BEM) sim 500,000+ EnergyPlus building simulations in less than an hour million U.S. buildings could be simulated in 2 weeks 8 million simulations for DOE ref. buildings 270TB of simulation data CPU Cores Wall-clock Time (mm:ss) Data Size EnergyPlus Simulations 16 18:14 5 GB :19 11 GB :34 22 GB :22 44 GB :30 88 GB 1, : GB 2,048 1,024 21: GB 4,096 2,048 21: GB 8,192 4,096 20: TB 16,384 8,192 26: TB 32,768 16,384 26: TB 65,536 32,768 31: TB 131,072 65,536 44:52 23 TB 262, ,072 68:08 45 TB 524, Maxlab Tour Acknowledgment: Jibo Sanyal 14

15 Existing tools for retrofit optimization 3,000+ building survey, 23-97% monthly error ASHRAE G14 Requires API Using Monthly utility data Using Hourly utility data CV(RMSE) 15% NMBE 5% CV(RMSE) 30% NMBE 10% Simulation Engine DOE $65M (1995?) 15

16 Autotune Automatic Calibration of Simulation to Data E+ Input Model...

17 Autotune Performance automated M&V DOE Office of Science DOE-EERE: BTO Industry and building owners Results ASHRAE G14 Requires Autotune Results High Performance Computing Different calibration algorithms Machine learning big data mining Large-scale calibration tests Features Calibrate any model to data Calibrates to the data you have (monthly utility bills to submetering) Runs on a laptop and in the cloud 30+ Publications: Open source (GitHub): Monthly utility data Hourly utility data Residential home Within 30 /day (actual use $4.97/day) CVR 15% 1.20% NMBE 5% 0.35% CVR 30% 3.65% NMBE 10% 0.35% Results of 20,000+ Autotune calibrations (15 types, tuned inputs each) Other error metrics Leveraging HPC resources to calibrate models for optimized building efficiency decisions Tuned input avg. error Hourly 8% Monthly 15% 3 bldgs, 8-79 inputs 17 Maxlab Tour

18 Discussion Oak Ridge National Laboratory Joshua New, Ph.D. 18 Maxlab Tour