Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Whole Building Modeling Using OpenStudio

230 views

Published on

Commercial Buildings Research Group

Published in: Engineering
  • Be the first to comment

Whole Building Modeling Using OpenStudio

  1. 1. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Whole Building Modeling Using OpenStudio Commercial Buildings Research Group Andrew Parker December 2016
  2. 2. 2 Agenda • Baseline Automation • Parametric Analysis Tool 2.0 • Roadmap
  3. 3. 3 OpenStudio Killer Feature: Measures Measures: scripts that operate on model & results • Transform model e.g., replace constructions, daylighting package, etc. • Perform these actions repeatedly, consistently & quickly on any model • An open way of extending functionality & transferring knowledge Help! Ich bin expert! Thanks!
  4. 4. 4 OpenStudio Killer Feature: Measures Add Heat Recovery Measures: scripts that operate on model & results • Transform model e.g., replace constructions, daylighting package, etc. • Perform these actions repeatedly, consistently & quickly on any model • An open way of extending functionality & transferring knowledge • Can be arbitrarily surgical, e.g., daylighting measure sensitive to space-type Daylighting Package
  5. 5. 5 Baseline Automation – What Is It? • Input: Proposed (as-designed) model – Space types assigned – Window construction types assigned • Output: 90.1 Appendix G baseline model – Internal loads – Construction properties – HVAC systems, controls, and efficiencies Create Baseline Building
  6. 6. 6 Motivation • Xcel Energy EDA Program pays for energy modeling to inform design. • Incentive based on energy savings. • As code stringency increases: – Savings shrink – Therefore incentives shrink – …but req’d modeling effort does not • Automation helps more of the project budget go toward meaningful analysis
  7. 7. 7 How it works – Remove external shading devices – Shrink the windows and skylights, if necessary – Make sure all spaces are assigned stories – Modify internal loads (just LPDs for 90.1) – Add daylighting controls to each zone – Apply prescribed construction types – Set properties of those constructions – Remove existing HVAC – Add HVAC system w/ correct components – Set properties used for air system sizing (SAT, delta-T) – Add SAT reset, economizers, pressure reset, damper pos.
  8. 8. 8 How it works (cont’d) – Set properties for water loop sizing – Run a sizing run to autosize HVAC equipment – Add controls that are determined based on cfm, gpm, %OA, etc. – Apply baseline allowable fan power – Multiple boilers/chillers/cooling towers per capacity – Run a sizing run to size newly added boilers/chillers/cooling towers – Apply baseline pumping power – Apply minimum efficiency and performance curves for all HVAC equipment based on type and capacity
  9. 9. 9 Challenges – Daylighting Controls • Reality never as simple as examples • Not everything is in model – Cubicles – Shelves
  10. 10. 10 Challenges – Ventilation Rates “G3.1.2.6 Ventilation. Minimum ventilation system outdoor air intake flow shall be the same for the proposed and baseline building designs.” I interpreted this as: • Keep per-area and per-person OA rates from proposed – (currently assumes proposed is ventilating at minimum required) • If baseline system is MZ VAV, use VRP calculations – If all zones set to 30% minimum damper position, VRP often reqs > 90% OA – Instead, increase MDP on critical zones until system ventilation efficiency = 60% • This can mean higher minimum intake rates than proposed – Credits DOAS systems for ventilating more efficiently This is an area that needs more work/thought. Plan on investigating approach taken by T24/CEC.
  11. 11. 11 Limitations – 80/20 Approach Currently Unsupported • Lighting controls (occ/vac sensors) are assumed to already be present in proposed lighting schedules, and will not be added or removed • Exterior lighting in the baseline model is left as found in proposed • Optimal start of HVAC systems is not supported • Skylights are not added to model, but existing skylights are scaled per Appendix G skylight-to-roof areas • No fan power allowances for MERV filters or ducted supply/return present in proposed model HVAC • Laboratory-specific ventilation is not handled • Kitchen ventilation is not handled; exhaust fans left as found in proposed • Commercial refrigeration equipment is left as found in proposed • Transformers are not added to the baseline model • Zone humidity control present in the proposed model HVAC systems is not added to baseline HVAC Known issues or limitations • Some control and efficiency determinations do not scale capacities/flow rates down to reflect zone multipliers • Daylighting control illuminance setpoint does not vary based on space type • Daylighting area calcs do not include windows in non-vertical walls • Daylighting area calcs do not include skylights in non-horizontal roofs
  12. 12. 12 Testing & Validation • ~20 real buildings • From 3 engineering/modeling firms – Group14 Engineering – Taylor Roberts – Ambient Energy – Matt Steen, Eric Ringold – NORESCO – Matt Leach • Plus, community involvement – Julien Marrec
  13. 13. 13 Supported Standards • 90.1-2013 – Most heavily tested • 90.1-2007 & 90.1-2010 BETA – Not heavily tested, but working well • NECB (Canada) – In progress by NRCAN • ECBC (India) – In progress by LBNL & IIIT • 90.1-2016 aka Addendum BM /fixed baseline – Coming in FY17 by PNNL
  14. 14. 14 Parametric Analysis Tool (PAT) 2.0 • Why? – New pattern for developers (web technologies) – Less fragile file format – New capabilities • Optimization • Sampling
  15. 15. 15 PAT 2.0 Demo
  16. 16. 16 OpenStudio Roadmap - 2017 • PAT 2.0 – Optimization, sampling – Run on cloud • New geometry editor – Simpler than SketchUp – Free • Expanded support for advanced controls • More Measures • Portfolio-scale modeling applications

×