SPOT on! Accurate Prediction of Electric Lighting Reduction due to Daylighting using rsensor. Zack Rogers, Integrated Design Associates, Inc
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1 SPOT on! Accurate Prediction of Electric Lighting Reduction due to Daylighting using rsensor Zack Rogers, Integrated Design Associates, Inc
2 SPOT v4.0 Developed by Architectural Energy Corporation Produced with support from CEC, NEEA, PG&E, SCE and CIEE Radiance v3.9 MinGW Radiance Installer by Francesco Anselmo
3 Daylighting Design Pieces Daylighting and electric lighting design Control system design (assume photosensor) NLPIP Photosensor Report Rsensor Account for daylighting in whole building energy use (model) Commission photosensor system Not necessarily a linear process
4 Daylighting Design Pieces
5 Daylighting Design What is good design? Tools Animations Physical models Annual simulation Annual simulation versus key design conditions
6 Daylighting Design
7 Electric Lighting Design
8 Annual Simulation Parameters
9 Illuminance Results
10 Metric Comparison
11 Tools and Current Methods Rules of thumb (Mistrick, Rubenstein) Sensor location and spatial sensitivity to avoid view of glazing EnergyPlus and DOE-2 Split flux methods Assume photosensor signal is proportional to workplane illuminance SPOT and other tools Radiance Accurately represent photosensor signal
12 NLPIP Report Sponsored by CEC et al. Rennselaer Polytechnic Institute s Lighting Research Center performed photosensor testing Spatial, spectral and control response
13 NLPIP Report
14 NLPIP Report
15 rsensor Developed by Greg Ward for SPOT v4.0 and compiled using MinGW by Francesco Anselmo Differs from psens (written by Ehrlich, et al.) psens uses pic psens applies square projected pixel shape rsensor acts like rtrace rsensor allows calculation of multiple sensors rsensor cross-platform
16 rsensor Input -rd, -dn, -h, -n and other render options View origin (-vp), orientation (-vd) and rotation (- vu), where rotation gives zero azimuthal direction Sensor file (one per view) Evenly spaced data Rows give polar angle, columns give azimuth angle
17 rsensor Input degrees
18 rsensor Output RGB values for use with human visual system or sensor spectral weights Example output with standard photometric RGB weights: Cosine 35 fc Product 3 relative signal
19 Photocell Correlation -vp vd vu 0 1 0
20 Photosensor Comparison Luminaire Zone Photocell Type Controller Algorithm Nighttime Signal Zone 1 Product Specific Continuous Dimming, Constant Setpoint 14 Zone 1 Generic Cosine Continuous Dimming, Constant Setpoint 26
21 Photosensor Analyzer - Product
22 Photosensor Analyzer - Generic
23 Annual Results Product 30% output Generic 58% output
24 Energy Model Integration Hourly LPD multiplier schedule Account for power curve of dimming ballasts Must match other schedules in energy and SPOT models Weather file Occupancy schedule SHGC due to active daylighting device
25 Annual Lighting Schedule LPD Fraction in DOE-2 Format
26 Commissioning Report - Position
27 Commissioning Report - Settings
28 Future of Daylighting Controls Modeling Photosensor report standard (Ian Ashdown IESNA LM XML) Different design workflows Optimization software PIDO (Stanford) and OptE-Plus (NREL) Others? System Design Sensors optimized using rsensor Smart sensors Closed vs open vs dual loop
29 Future SPOT Development Integrate annual simulation of optical daylighting systems Validate annual sky approach and control algorithms? Include Energy + annual lighting reduction schedule format? Annual simulation for complex fenestration? Cross-platform? Plugin to Sketchup, revit, rhino? Importing of.rif files, dwg, obj, other?
30 References Download SPOT and other info at: SPOT support SPOT Users forum NLPIP Photosensor Report
31 Questions? Thoughts on SPOT, uses of rsensor or the future of daylighting controls?
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