REEFF Renovation for efficiency
Andreea Bunica Abdullah Sheikh Jun Woo Lee
index
WHY
/GLOBAL PERSPECTIVE /INVESTMENT /OPTIMISATION DATA
WHAT
/BUILDING DIAGNOSTICS
HOW
/ WORKFLOW / DATA ACQUISITION / THERMAL PREDICTION / THERMAL ANALYSIS / RECOMMENDATIONS / AUTOMATED ANALYSIS
44% New construction 2015
56% Renovation construction 2015
*reconstruction market = higher than new construction market since 2010
35%
40%
36%
EU building stock
EU energy consumption
EU Co2 emissions
= over 50 years old
= lifespan of existing buildings
= lifespan of existing buildings
1% Renovation rate *on average
=
100 years / decarbonisation
RENOVATION PROCESS
BUILDING APPRAISAL
DESIGN & PLANNING
PRIVATE SERVICE PROVIDERS /Commercial operations
ANALOGUE SERVICE PROVIDERS /Private usage
EU REGULATED APPRAISAL /Public operations
ON SITE RENOVATION
/ECONOMY /LIFE QUALITY /ECOLOGY
RENOVATION
CURRENT METHODS OF APPRAISAL
/ Mechanical resistance and stability / Safety in case of fire / Hygiene, health and the environment / Safety in use / Protection against noise / Energy economy and heat retention
40%
Greenhouse reductions by 2030 2019
EU GOAL TO 2030
32%
Renewable energy by 2030 2015
“
(10)
Apart from accelerated renovation rates, a Union-wide and sustained increase in deep
renovations is necessary. (12)
It is necessary to obtain high-quality on the building stock (...)
data
�
EU commission recommendation 2019/786 of 8 May 2019 on building renovation
EU METHODOLOGY TO 2030
RENOVATION RENOVATION
DEEP RENOVATION
SUPPORTING ACTIONS
DEEP RENOVATION
Building health & energy efficiency
Envelope efficiency renovation
Internal refurbishment
Structural refurbishment
Building services refurbishment
BUILDING ITEM DATA
MATERIAL DATA
Extracting
OPTIMISATION DATA FOR DEEP RENOVATION
RENOVATION
PROPOSAL
HOW
/WORKFLOW /DATA ACQUISITION
DATA ACQUISITION
RENOVATION
STAGES
ANALYSIS
PREDICTION
CloudCompare
COLMAP
IMAGES/rgb + depth
PHOTOGRAMMETRY
3D POINT CLOUD
Grasshopper
SEGMENTED CLOUD
CONVERTED MODEL
Grasshopper
M. LIB
REAL MATERIALS Grasshopper
HONEYBEE
PREDICTIVE BUILDING PERFORMANCE
REPLACEMENT
MATERIAL PERFORMANCE OF BUILDING COMPONENTS
THERMAL DATA
SIMULATION
Grasshopper
M. LIB
MATERIAL LIBRARY
.JSON
/PHASED DEVELOPMENT HOW
/DATA ACQUISITION /DATA PROCESSING
VIDEO FRAMES
COLMAP
PHOTOGRAMMETRY RECONSTRUCTION CONVERSION
SEGMENTED POINTCLOUD
ANALYSIS USER LIBRARY
PCD ACQUISITION
`
DENSE CLOUD FULL COLOR
CLOUDCOMPARE
CLEAN CLOUD OBJECT SEGMENTATION
RGB MATERIAL
PCD ACQUISITION
`
DOWNSAMPLED CLOUD
` ` ` ` ` `
`
` ` `
`
SEGMENTATION
OVERALL ELEMENTS BREAK-DOWN
ENVELOPE
STRUCTURE
/existing
SEGMENTED POINT CLOUD
XYZ External walls RGB normals
BOUNDING BOXES
PLANE FITTED BB PHOTOGRAMMETRY
Rooftop planes
VOLUME AVERAGE
CONVERSION
Floor plate
ANALYSIS USER LIBRARY
SCALE TO FIT
TRIM OPENINGS windows
BASIC MODEL
doors ADD ELEMENTS Rooftop skylight Beam(Primary)
ELEMENT TYPE
INSULATION TYPE
Window
SEGMENTATION
ELEMENT CLASSIFICATION
Internal wall
Component segmented pcd
Plane fitted bounding boxes (element approximation)
Bounding boxes
Volume area average & scale to fit
Final model
Scale to fit
CONVERSION
PCD TO BIM PROCESS
Trim windows
Material: Wood Conductivity: 0.049 W/m-k Density: 265 kg/m3 Specific heat: 836.800 J/kg-k Thermal Absorptance: 0.9
STRUCTURE
Cross beams
Material: Brick M01 Conductivity: 0.89 W/m-k Density: 1920 kg/m3 Specific heat: 790 J/kg-k Thermal Absorptance: 0.9
Material: Concrete HW Conductivity: 1.311 W/m-k Density: 2240 kg/m3 Specific heat: 836.800 J/kg-k Thermal Absorptance: 0.9
Material: Concrete HW Conductivity: 1.729 W/m-k Density: 2242.9 kg/m3 Specific heat: 839.999 J/kg-k Thermal Absorptance: 0.9
Columns
Beams
Material: Concrete HW Conductivity: 1.311 W/m-k Density: 2240 kg/m3 Specific heat: 836.800 J/kg-k Thermal Absorptance: 0.9 Floor plate
Internal wall- solid
Fixed window U-Factor: 2.555 W/m-k Solar heat Gain coeff: 0.45 Size: 2.54 x 0.45m
Roof skylights
Panels
Material: Composite gypsum Conductivity: 0.53 W/m-k Density: 980 kg/m3 Specific heat: 810 J/kg-k Thermal Absorptance: 0.9 Internal Walls
ENVELOPE
Windows
Fixed window U-Factor: 1.9 W/m-k Solar heat Gain coeff: 0.40 Size: 0.8 x 0.6
Material: Metal roofing Conductivity: 45.00 W/m-k Density: 7680 kg/m3 Specific heat: 418.4 J/kg-k Thermal Absorptance: 0.9 Rooftop panels
CLASSIFICATION
EXTRACTED OBJECTS
Material: Metal roofing Conductivity: 45.00 W/m-k Density: 7680 kg/m3 Specific heat: 418.4 J/kg-k Thermal Absorptance: 0.9 Rooftop panels
Material: Composite Brick M01 Conductivity: 0.89 W/m-k Density: 1920 kg/m3 Specific heat: 790 J/kg-k Thermal Absorptance: 0.9 External Walls
/PCD TO SURFACE HOW
/THERMAL ANALYSIS /RECOMMENDATIONS
BUILDING ZONES DAYSIM OPEN STUDIO
BUILDING COMPONENTS PHOTOGRAMMETRY
MATERIAL ASSIGNMENT
THERMAL SIMULATION
ANALYSIS
HONEYBEE ENERGY PLUS
USER LIBRARY
.JSON FILE
WEATHER DATA
THERM
MATERIAL PROPERTIES
.JSON FILE
LIBRARY ELEMENTS
_Construction _Construction set _Materials _Climate zone _Space types _Standarts
MATERIALS
Name: Type: Roughness: Thickness: Conductivity: Density: Specific heat: Thermal absorptance: Solar absorptance: Visible absorptance: U-Factor: RGB code:
COMPONENTS CLASSIFICATION
WALL
Basic Construction Materials
Concrete Steel Wood
FLOOR
AIR
ROOF
WINDOW
Structure Climate zone: ESP - Barcelona Space Type: Interior/ Exterior Standards: Int. Average temp
COATING
Envelope
288 Materials Construction Set
WALL Mass Basic materials Steel Frames Metal Frames Wood Frames Concrete Frames
Floor Mass Basic materials Steel Frames Wood Frames
Roof
Coating
Air
Window
Mass Steel Metal Wood Concrete
Wall board Insulation board Membrane Surfaces Sidings
Clear space Wall air space Ceiling air space Wall air space
Fixed window Theoretical glass
MATERIAL CLASSIFICATION THERMAL PROPERTIES
THERMAL ANALYSIS
THERM MATERIALS
ENERGY PLUS MATERIALS
.JSON FILE
SIMULATION
Softwares: THERM OpenStudio GH + Honeybee
INSULATION IMPROVEMENTS Composite walls
ENERGY PLUS WINDOW MATERIALS
Door
Window
Roof
Siding
Beam
Column
Steel structure
Wooden frame
ENVELOPE
STRUCTURE
LIBRARY
ANALYSIS OBJECTS
Brick wall [+]
T1
ROOF
FLOOR
DE
WALL
DET 2
COMPONENTS Metal roof deck Waterproof membrane 19 mm gypsum board Wood roof insulation R17.79IP Metal structure [cross beam]
Temperature 7.013 ~1.99 AVG = 4.50 °C
COMPONENTS M11 200mm Lightweight concrete Floor insulation 200 mm Steel decking frame
Temperature 5.36 ~3.78 AVG = 4.57 °C
DET 3
Temperature 10.615 ~ 7.25 AVG = 8.932 °C
COMPONENTS M01 Brick 15 mm Insulation board Wall insulation
Barcelona (IWEC FILE) EXT
LIBRARY
COMPOSITE MATERIALS
20 degrees INT
_envelope + windows/ doors
_internal zones
_analysis objects
SURFACE TEMPERATURE
15 mm BRICK COMPOSITE +THERMAL INSULATION
EXTERNAL WALL
CONCRETE COMPOSITE + STEEL INFILL
CROSS BEAMS
WINDOWS
5 mm GLASS SANDWICH PANELS
ANALYSIS
`
SURFACE TEMPERATURE
METAL SHEET SANDWICH + THERMAL INSULATION
ROOFTOP
FLOOR
CONCRETE COMPOSITE + STEEL INFILL + THERMAL INSULATION
WOOD FRAME + GYPSUM PANELS
PARTITION
10mm BRICK + THERMAL INSULATION
BRICK WALL
GLASS WALL
5 mm GLASS SANDWICH PANELS
BRICK COMPOSITE + GYPSUM PANELS
PLASTER WALL
ANALYSIS
`
SURFACE TEMPERATURE
458 CONCRETE
GROUND FLOOR SLAB 412
STRUCTURAL
BRICK
EXTERNAL WALLS 366
METAL
ROOFTOP 320 CROSS BEAMS
CONCRETE COMPOSITE
BEAMS
274
FLOOR
229
BEAMS- small 183 WOOD
PARTITION WALL 137
GLASS
BRICK
Z
PLASTER
INTERIOR WALL 3
91
INTERIOR WALL 2
45
INTERIOR WALL
0.0 kmw
ANALYSIS
`
TOTAL THERMAL LOAD
jan
feb
mar
apr
may
jun
jul
aug
sep
oct
nov
dec
Material Library
Genome
Galapagos Fitness
Material Types
Thickness
Density
Thermal Infiltration
Thermal conductivity
Comfort
Indoor Temp Material Library Key Component
Insulation +
Components List M01 100MM BRICK G05 25MM WOOD AIR (Variable) STEEL FLANGE EXTRUDED POLYSTYRENE GYPSUM BOARD
WALL
Material Improvement + WALL LIBRARY
DATA ACQUISITION
ANALYSIS
PREDICTION
OPTIMISE PHOTOGRAMMETRY FROM VIDEO MATERIAL EFFICIENCY & REPLACEMENT RECOMMENDATION MASK R-CNN/ AUTOMATED SEGMENTATION & CLASSIFICATION STREAMLINE HONEYBEE PROCESS THROUGH PYTHON APP RGB RADIANCE/ AUTOMATED MATERIAL DETECTION & CLASSIFICATION
PREDICTED WORKFLOW
CONCLUSIONS
NEAR FUTURE WORKFLOW
RGB RADIANCE/ AUTOMATED MATERIAL DETECTION & CLASSIFICATION
SURFACE DEFECTS & PREVENTION
INTERNAL DAMAGE PREDICTION
Final video link: https://www.youtube.com/watch?v=07CJZ0Bc3OE&feature=youtu.be