Closing the LOOP - Int'l High Performance Building Conference (Lansing Community College)

Closing the Loop: Completing the Design/Analysis > Fabrication > Validation Cycle

PROJECT OVERVIEW

PROJECT OVERVIEW

New York City College of Technology (CUNY)

International High Performance Building Conference 2013


PROJECT OVERVIEW

ATE

Advanced
Technological
Education




ANALYSIS


DESIGN

PROJECT OVERVIEW

FABRICATION


Areas

Faculty

Building
Information
Modeling

Faculty Initiative
Alexander Aptekar
Assistant Professor, NYCCT
BIM Director, FUSELab

Computation &
Fabrication

PROJECT OVERVIEW

Anne Leonhardt
co-PI, FUSELab
co-PI, Center for Performative Design

Alexander Aptekar, Assistant Professor
BIM Director
Anne Leonhardt, Assistant Professor
Co-PI
Computation & Fabrication Director
Brian Ringley, Adjunct Professor
Technology Coordinator
Sanjive Vaidya, Assistant Professor
Building Performance Director

Brian Ringley
Adjunct Professor, NYCCT
Fabrication Lab Coordinator, NYCCT
Technology Coordinator, FUSELab

Building
Performance &
Energy Modeling
Sanjive Vaidya
Building Performance Director, FUSELab



Areas

Faculty

PROJECT OVERVIEW

Industry Advisors

Building
Information
Modeling
Alexander Aptekar

Robert Cervellione
CERVER Design Studio

Industry Partnerships

Zach Downey
PARABOX Labs

Brian Ringley

Brigette Borders
form. FLATCUT_

Sanjive Vaidya

Computation &
Fabrication

Anne Leonhardt
co-PI, FUSELab

Arpan Bakshi
SOM Digital Design Group
form. YR&G Sustainability

Robert Cervellione, CERVER Design Studio
Zach Downey, PARABOX Labs
Brigette Borders, FLATCUT_
Arpan Bakshi, SOM Digital Design Group
Srinithya Lavu, Green Building Specialist

Building
Performance &
Energy Modeling


Srinithya Lavu
Green Building Specialist
MS Sustainable Design, Carnegie Mellon


Areas

Faculty

Industry Advisors

Courses

Alexander Aptekar

Robert Cervellione

Building Technology
Seminar

Anne Leonhardt
co-PI, FUSELab

Zach Downey
PARABOX Labs

PROJECT OVERVIEW

Building
Information
Modeling

Computation &
Fabrication

Student Collaboration
Computation and
Fabrication Seminar

Brian Ringley

Brigette Borders
form. FLATCUT_

Sanjive Vaidya

Arpan Bakshi

Building Technology Seminar
Computation & Fabrication Seminar
Building Performance Lab

Building
Performance &
Energy Modeling


Srinithya Lavu

Building Performance
Lab


Departments

Areas

Faculty

Industry Advisors

Courses

Alexander Aptekar

Robert Cervellione

Building Technology
Seminar

Anne Leonhardt
co-PI, FUSELab

PROJECT OVERVIEW

Zach Downey
PARABOX Labs

Building
Information
Modeling

Architectural
Technology

Computation &
Fabrication

Computation and
Fabrication Seminar

Brian Ringley

Arpan Bakshi

Architectural Technology
Environmental Engineering
Mechanical Engineering

Brigette Borders
form. FLATCUT_

Sanjive Vaidya

“Interdepartmentality”

Building
Performance &
Energy Modeling
Srinithya Lavu

Building Performance
Lab

Environmental
Engineering
Robert Polchinski
Environmental Engineering

Mechanical
Engineering



Performance
Analysis
Steps
Performance
Analysis
Steps

PROJECT OVERVIEW

Step 1
Climate

Step 2
Massing
and Light

Step 3
Massing
and Energy

Step 4
Façade
and Light

Step 5
Façade
and Energy

Step 6
Benchmarking
Performance

Tools

Step 1
Rhino 3D, Vasari
Climate

Step 2
DIVA
Massing
and Light

Step 3
Vasari
Massing
and Energy

Step 4
DIVA
Façade
and Light

Step 5
Vasari
Façade
and Energy

Step 6
Equest
Benchmarking
Performance

Inquiry
Tools

Identify % of year above
and below the comfort
Rhino 3D, Vasari
band (70-75 deg F).

Identify hot and cold site
exposures.
DIVA

Run first energy and load
analysis.
Vasari

Identify maximum glazing
area needed by
Identify hot and cold site
exposure to adequately
exposures.
illuminate perimeter
zones if massing is set,
Identify maximum glazing
and iterate between floor
area needed bymassing
plate outlines if
exposure to adequately
is flexible.
illuminate perimeter
zones if massing is set,
and iterate between floor
plate outlines if massing
is flexible.

Discuss results and use
them to question Step 2
Run first decisions. load
massing energy and
analysis.
Repeat steps 2 and 3 as
Discuss results and use
needed.
them to question Step 2
massing decisions.

Identify façade strategies
using a range of
DIVA
geometric densities,
depths, and bay sizes to
generate a matrix of
Identify façade strategies
options.
using a range of
geometric densities,
Discuss the “sensitivity”
depths, and bay sizes to
of various variables to
generate a matrix of
related performance
options.
outcomes.

Translate geometric
complexities into their
Vasari
vertical and horizontal
counterparts.

Export Vasari model of
final design into Equest,
Equest
apply daylight dimming
sensors, add utility costs,
and compare results
Export Vasari model of
against two baselines.
final design into Equest,
apply daylight dimming
Baseline A – 90.1
sensors, Baseline B –
building; add utility costs,
and compare results
status quo fully glazed
against two baselines.
building.

needed.

Discuss the “sensitivity”
of various variables to
related performance
outcomes.

DIVA
Iterative runs of solar
radiation analysis.
Iterative runs of
workplane illuminance
DIVA
analysis.
Iterative runs of solar
radiation analysis.
Iterative runs of
workplane illuminance
analysis.

Vasari
Build or transfer desired
massing with proper floor
count and glazing areas.
Run energy analysis.
Vasari
Build or transfer desired
massing with proper floor
count and glazing areas.
Run energy analysis.

DIVA
Parametric runs using
DIVA Grasshopper
components.

Inquiry

Identify % of humidity.
60% relative year above
and below the comfort
band (70-75 deg and
Identify summer F).
winter primary wind
direction and velocity.
60% relative humidity.
Identify summer and
winter primary wind
direction and velocity.

Activity

Activity

Rhino 3D
Build zoning boundary
and extrude to maximum
building height. Build
surrounding buildings as
Rhino surface masses.
single 3D
Build zoning boundary
and extrude to maximum
Vasari
building nearest Build
Identify height. weather
surrounding buildings as
station. Document
single surface masses.
climate data.
Vasari
Identify nearest weather
station. Document
climate data.

Concurrent BIM and fabrication scope not listed

New York City College ofnot listed
Concurrent BIM and fabrication scope Technology (CUNY)

DIVA
Parametric runs using
DIVA Grasshopper
components.

Translate geometric
Identify three geometries
complexities into their
representative of the
vertical and horizontal
range of variation (smallcounterparts. in Rhino
medium-large)
and model those in
Identify three geometries
Vasari.
representative of the
range ofsteps 4 and 5 as
Repeat variation (smallmedium-large) in Rhino
needed.
and model those in
Vasari.
Vasari
needed.
Run energy analysis and

discuss trends within
loads results. You will
see more variation in the
Vasariresults than the
loads
energy results between
discussoptions.within
façade trends While
loads results. You will
high performing facades
see more variation in of
reduce less than 5% the
loads results than the
building energy
energy resultsthey can
consumption, between
façade options. While up
reduce peak loads by
high performing facades
to 30%, resulting in lower
reducefirst costs and of
HVAC less than 5%
building energy demand
potentially lower
consumption, they can
on power plants.
reduce peak loads by up
to 30%, resulting in lower
HVAC first costs and
potentially lower demand
on power plants.

Baseline A – 90.1 5 as
Repeat steps 2 thru
building;based on B –
needed Baseline
status quo fully glazed
baseline comparisons.
building.
Repeat steps 2 thru 5 as
Equest
needed based on
baselinereductions
discuss comparisons.
between design and
baseline cases.
Equest
discuss reductions
between design and
baseline cases.


Building
Information
Modeling

Define Existing Building Geometry
(BIM)

PROJECT OVERVIEW

Schematic Solar & Wind Analysis
(BIM)

Generate BIM Model of Existing
Building and Run Initial Series of
Environmental Analysis Using Vasari



Building
Information
Modeling

(BIM)

PROJECT OVERVIEW

(BIM)

Rhino/Revit
Interoperability
Existing Building Geometry
(Live Instance)

Parametric
Modeling
Develop Shading Geometry
(Parametric Model)


Instance Desired BIM Families into
Rhino, Develop Concept for
Shading Panels Based on Initial
Vasari Analysis, and Create
Parametric Definition to Drive
Variable Panel System


Building
Information
Modeling

(BIM)

PROJECT OVERVIEW

(BIM)

Rhino/Revit
Interoperability
(Live Instance)

Parametric
Modeling
(Parametric Model)


Gather Solar Data to Drive Shading
(Data-Based Parametric Model)

Remap Solar Radiation Data from
DIVA Calculations to Drive Design
Parameters of Variable Screen


Building
Information
Modeling

(BIM)

(BIM)

Rhino/Revit
Interoperability

PROJECT OVERVIEW

Energy Analysis w/Shading
(BIM)

Shading Geometry
(Native 3DM Translation)
(Live Instance)

Parametric
Modeling
(Parametric Model)



Natively Translate Rhino Shading
Geometry into Vasari using
CASEapps OpenNURBS for Basic
Energy Analysis (Prior to Creating
Full Energy Model)


Building
Information
Modeling

(BIM)

(BIM)

Rhino/Revit
Interoperability

(BIM)

PROJECT OVERVIEW

Custom Curtain Wall Model
(BIM)

Shading Geometry
(Live Instance)

Curtain Wall Geometry
(Adaptive Component)

Parametric
Modeling
(Parametric Model)



Import Freeform Curtain Wall
Geometry into Revit as Adaptive
Component System for
Design and Detailing


Building
Information
Modeling

(BIM)

(BIM)

(BIM)

Rhino/Revit
Interoperability

(BIM)

Shading Geometry
(Live Instance)


Parametric
Modeling
(Parametric Model)

Energy Data
Interoperability

PROJECT OVERVIEW


Import Building and Screen
Geometry into SketchUp and
Integrate with gbXML and
Daylighting Control Data Using
OpenStudio

Energy Zone Data
(Green Building File)

Energy
Modeling
Import gbXML & Place Daylighting Controls
(3DM to IDF Translation)



Building
Information
Modeling

(BIM)

(BIM)

(BIM)

Rhino/Revit
Interoperability

(BIM)

Shading Geometry
(Live Instance)


Parametric
Modeling

(Parametric Model)

Energy Data
Interoperability

PROJECT OVERVIEW

Import IDF File from OpenStudio,
Specify Controls, Add HVAC Data,
and Run Energy Simulations within
EnergyPlus

Energy Zone Data

Energy
Modeling


Spec Controls, Add HVAC,
& Run Simulations
(Energy Model)


Building
Information
Modeling

(BIM)

(BIM)

(BIM)

Rhino/Revit
Interoperability

(BIM)

Shading Geometry
(Live Instance)


Parametric
Modeling

Export Heat Gain and Daylighting
Autonomy Data from DIVA along
with Data from Energy Model to
Derive Performance Conclusions


(Parametric Model)

Energy Data
Interoperability

PROJECT OVERVIEW

Energy Zone Data

Energy
Modeling


& Run Simulations
(Energy Model)

Draw Numbers & Derive
Performance Conclusions
(Energy Model)


Building
Information
Modeling

(BIM)

(BIM)

(BIM)

Rhino/Revit
Interoperability

PROJECT OVERVIEW

(BIM)

Shading Geometry
(Live Instance)


Parametric
Modeling
(Parametric Model)

Energy Data
Interoperability

Create Bending Drawings and
Digitally Fabricate Stainless Steel
Panel Prototype for Field Testing


Energy Zone Data

Energy
Modeling

Part Nesting
(Laser Cutter Machine File)

Add Thickness, Bend Radii,
& Bend Sequencing
(Solid Assembly Model)

Data for CNC Brake Operator
(Bending Drawings)


& Run Simulations
(Energy Model)

Draw Numbers & Derive
Performance Conclusions
(Energy Model)

Fabrication
for Field
Testing



SITE ANALYSIS (Revit/Vasari)

SITE ANALYSIS
Revit/Vasari





City Tech’s Environmental (“E”) Building
Near the Brooklyn Entrance
to the Brooklyn Bridge

South Face
of Building




Site Insolation at Equinox (BTU/ft2)


Site Insolation at Summer Solstice (BTU/ft2)

Site Insolation at Winter Solstice (BTU/ft2)




Existing South Face of E Building





Thermal Imaging of E Building South Face
Note the time of day. The sun reflecting off of the masonry adversely affects the reading.




Existing Window Frame Condition Within E Building





Thermal Imaging of Existing Window Frame Condition Within E Building
Note the thermal leak where the wood framing is splitting, and the probable
thermal bridge at the metal connector.




Wind Rose and CFD Wind Simulation
Showing Breadth of Preliminary Analysis Tools
Available in Revit/Vasari





Annual Coolings Loads:
Glass South Facade

Annual Heating Loads:
Glass South Facade

Clear Indication that Annual
Heating and Cooling Loads
are Primarily Driven by Glazing




RESPONSIVE SHADING SYSTEM (Rhino/Gh3D + DIVA)

RESPONSIVE SHADING SYSTEM
Rhino/Gh3D + DIVA




Typical Workflow:
Revit > DXF/DWG > Rhino



Desired Level of Detail
for Subsequent Operations
Requires Custom Workflow




Custom 3D View in Revit
with Family Visibility Overrides





Revit Family Live-Instanced
via Chameleon Plug-In
as Mesh Geometry





Convert Meshes to
BReps and Cull
Unwanted Geometry





Simplify Slabs




Existing Condition:
Low Solar Radiation Variation



Freeform Facade:
High Solar Radiation Variation



DIVA GH/Excel Tool
AB 2013_0316


DIVA calculates cumulative solar radiation incident on the building surface (kWh/m2). Extract the following values from DIVA/GH.
Import from DIVA/GH

Calculated Value

User Input

Import data from GH. Importing Glass, Wall and Floor area is simply surface areas.
Calculating Total Radiation
To import Total Radiation, in GH, first find a way to multiply the simulated kWh/m2 values by the the glass area within each threshold radiation threshold.
One way to do this may be setting up threshold bands. For example, for all glass area between 500 and 600 kWh/m2, collect that glass area, and multiply
by 550 kWh/m2. Do the same for all 100 kWh/m2 bands of data, and sum all kWh values from all radiation thresholds to obtain the total kWh for the entire
wall.
Calculating Heat Gain
If all three floors of the E building are being served by a single mechanical system, we do not need to calculate multiple heat gain values for each zone, we
can sum all of the facade heat gain and assume the cooling load on the single rooftop system.

Introduction
Imported Data from DIVA/Gh3D

Perimeter Floor Area
Buildings typically divide perimeter zones seperately from core zones (15 to 30 foot perimeter depth). For perimeter area, sum the floor area on each floor
within 15 feet of the exterior wall, i.e. building width x 15 feet floor depth x number of floors.
Total Area of Glass (ft2)

Total Wall Area (ft2)

Perimeter Floor Area (ft2)

Total Radiation (kWh)


Total Heat Gain (kWh)

Total Area of Glass (ft2) x Glass SHGC x Total Radiation (kWh) = Total Heat Gain
Heat Gain Calculation



Glass SHGC


Closing the Loop:

Completingwall. Design/Analysis > Fabrication > Validation Cycle
the

Introduction









Glass SHGC

Enter Total Heat Gain from above in the Proposed Design cell. Have GH simulate an alternate version of the design as the code-minimum option. For that
option, model a vertical wall with 40% window-to-wall ratio (window area / total wall area, incl. window area)
Comparisons for Benchmarking

Existing Building (SHGC = 0.4)

Typical Curtain Wall (SHGC = 0.7)

Proposed Design (kWh)

Report how much more efficient the proposed design is over a code-minimum Baseline (theoretical)
1 - (Proposed / Baseline) x 100
Performance Report

Heat Gain Reduction (%) v Existing


Heat Gain Reduction (%) v Typical


high irradiance

low irradiance

high irradiance

Variable Panel Concept (Cindy Alonzo)
high irradiance

low irradiance

Variable Panel Concept (Luiza DeSouza)

low irradiance

Variable Panel Concept (Cynthia Alonzo)
high irradiance

low irradiance

Variable Panel Concept (Ronny Mora)

Loft Curves

Lofted Surface

Subdivided
Surface

Rationalized
Glazing Panels

Cindy Alonzo
u12, v12

Cynthia Alonzo
u8, v8

Luiza DeSouza

u6, v11

Ronny Mora

u8, v8



Lofted Surface

Subdivided Surface with
Sample Points and Normals

Offset Surface
(Clashing Threat)

Solar Radiation
Analysis

Cindy Alonzo
6”, 6”, 6”, 6”

u12, v12

47 - 700 w/m2

12”, 12”, 12”, 12”

u16, v16

63 - 652 w/m2

12”, 12”, 12”, 12”

u12, v22

104 - 990 w/m2

36”, 12”, 12”, 36”

u8, v8

5 - 414 w/m2

Cynthia Alonzo

Luiza DeSouza

Ronny Mora





Psychrometrics (Thermal Comfort)




DIVA Simulation Settings
Using Local Weather (EPW) File





Responsive Screen (Cindy Alonzo)





Responsive Screen (Cynthia Alonzo)





Responsive Screen (Luiza DeSouza)





Responsive Screen (Ronny Mora)





u8, v8
57 - 497 w/m2

glazing
8 - 846 w/m2
1 vector per
panel


u16, v8
1 - 541 w/m2
higher sampling
needed

glazing
16 - 338 w/m2
higher sampling
needed again



Design to Subsurface Centroid
315 w/m2



Design to Sampled Subsurface Mean
337 w/m2

Design to Sample Subsurface Worst Case
444 w/m2



ENERGY & DAYLIGHTING ANALYSIS (Vasari/DIVA/EnergyPlus)

ENERGY & DAYLIGHTING ANALYSIS
Vasari / DIVA / EnergyPlus





Natively Importing 3DM Geometry
into Vasari Beta 2 Using
CASEapps openNURBS





Unsimplified Panel
Developable (Planar) Geometry

Simplified Panel
Undevelopable Geometry
Max Deviation of 2.53” from Unsimplified

2400 Faces (> 1024)

960 Faces (< 1024)





Vasari Limitations:
Maximum Geometry Count
Alignment Issues with Non-Orthogonal Geometry
Inability to Handle Large, Complex Masses
Automated Analysis Ranges
Overall Lack of User Input for Analysis Tools





HVAC

Similarities Arising from Vasari’s
Inability to Account for Change in
Lighting Energy

Typical


The lighting energy in the three
scenarios is the result of having
lights switched on from 8:00am to
5:00pm everyday of the year,
regardless of daylight availability.
This is a limitation of user input
options in the Vasari analysis
toolset, and a primary reason that,
while good for preliminary
decisions early in the design
process, Vasari is not a true
energy modeler.



Glazing Panels
(Optimized for DIVA)



Glazing Panels
(Optimized for OpenStudio/EnergyPlus)
Gap Modeled Between Glazing Panels
Gap Modeled at Tops of Floor Slabs
Panels Placed on Layers Corresponding
with Floor Level


Interior Lighting
97328
87822
88128
92128
Exterior Lighting
0
0
0
0
Interior Equipment
109200
109200
109200
109200
in Kwh
Exterior EquipmentExisting Windows
0
0
0
0
Glass Façade
Shading Profile1
Shading Profile2
Shading Profile3
Heating
30019
35178 33358
34708
31989
Fans
31406
33203
32464 30167
Cooling
45575 756
54244
54097
51356
Pumps
769
769
761 45656
Interior Lighting
97328
87822
88128
92128
94825
Heat Rejection
0
0
0
0
Exterior Lighting
0
0
0
0
0
Humidification
0
0
0
0
Interior Equipment
109200
109200
109200
109200
109200
Heat Recovery
0
0
0
Exterior Equipment
0 0
0
0
0
0
Water Systems
0
0
0 31272
Fans
31406 0
33358
33203
32464
Pumps
756 0
769
769
761
Refrigeration
0
0
0 756
Heat Rejection
0 0
0
0
0
0
Generators
0
0
0
Humidification
Heat Recovery
Total End Uses
Water Systems
Refrigeration
Generators

0
0

0

0

0

314283

0

0

0

320575

0

0
320103

Total
Area in sqm End Uses
in kWh/sq.m

50961
756

70000

764

89053

0

100000

0

109200

90000

0

0

80000

0

0
32486

70000

0

30000

0 764

60000

0

20000

50000

0

10000

40000

0

0

0
0

0

0

0

0

0

0

0

0

320103

317897

311875

315756

314283

320575

Shading Profile1

0

Alonzo- CY

in Kwh
Shading Profile2

Shading Profile3

DeSouza

31406
0
756
1866
0 314283

0

31989

30167

54097

0

0

314283

168

1866
168

0
0
320575

33358
769
320575

51356

45656

0
0
1866
0
172

Cooling

Alonzo- CY

33294

DeSouza

50961

33203 0
769 0
320103 0

0

0

1866 320103
172

1866
172

317897
1866
172

0
32464
0
761
0
317897

Mora

0

30000

31272
20000
18660 756
0
31187510000
0

170

0

311875
1866

170

315756

1866
167

Cooling

Interior Lighting

Mora

97328
87822 Façade
88128
94825
89053 Shading3
Existing Windows
Glass
Shading192128
Shading2
Shading4
100000
0
0
0
0 34708
0
0
Glass
30019
35178
31989
30167
90000
109200
109200
109200
109200
109200
109200
façade
45575
54244
54097
51356
45656
80000
0
0
0
0
0
0
over
97328
87822
88128
92128
94825
31406
33203
32464
31272
existing
Existing Windows
Glass33358
Façade
Shading1
Shading2
Shading3 32486
Shading4
70000
109200 769
109200
109200
109200
109200
756 30019
761
756
764 3016760000
35178 769
34708
31989
33294
-17%
31406
33358
33203
324640 45656
31272
0 45575
0
0
0
54244
54097 0
51356
50961
-19%
50000
769
769
7610 94825
756
0 97328 756
0
0
0
0
87822
88128
92128
89053
10%
40000
0 109200
0
0
0 320103
0
0
314283
317897 109200
311875
109200320575
109200
109200
109200
0%
0

Heating

Heating

Shading Profile4

34708

Alonzo- CI

40000

0

0

311875

0

50000

10000

0

317897

Energy Consumption in
kWh

60000

0

0

0

Alonzo- CI

in kWh/sq.m

32486

0

0

54244

33294
31272

0

0

45575

80000

0

0

35178

0

20000

0

30019

Shading Profile40

0

0

0

Heating
Cooling
Interior Lighting
Heating Exterior Lighting
Interior Equipment
Cooling
Exterior Equipment
Interior Lighting
Fans
Interior Equipment
Pumps
Heating
Fans
Heat Rejection
Cooling
Pumps Lighting
Interior Humidification
Heat Recovery
Total
Interior Equipment
Water Systems
Fans
Pumps
Area in sqmRefrigeration
Generators
Total

90000

0

0

Glass Façade

109200

315756
30000

0

0

Existing Windows

109200

100000
0
0

0

0

Total End Uses

89053

0

0

0

94825

0

32486
1866 764
315756

167

Heating
1866

169

-6%
-2%
-2%

Glass
façade
over
Shadng 1 Shadng 2 Shadng 3 Shadng 4
kWh
existing
over glass
over glass over glassExisting Windows over glass
33294
-17%
1%
-7%
14%
4%
Glass Façade
50961
-19%
0%
-13%
16%
6%
174
89053
10%
0%
5%Shading1 -8%
-1%
over glass over glass over glass over glass
109200
0%
0%
0% 172
0%
0%
1%
-7%
14%
4%
Shading2
32486
-6%
6%
2%
0%
-13%
16%0%
6% -3% 170
764
-2%
1%
0%
5%
-8%0%
-1% -1%Shading3 2%
315756
-2%
3%
1%
0%
0%
0%0%
0% -1% 168
0%
0%
1866
0%

169

Cooling

-3%
-1%
-1%

6%
2%
3%
Interior Lighting

2%
1%
1%

Heating

Mora
Glass

17

EUI

Shading4

166

17

16

16

16

16

164

16

162
160
Existing
Windows

DeSouza
New York City College of TechnologyAlonzo- CI Existing Windows
(CUNY) Alonzo- CY
Pumps

17

Glass Façade


S

0
0
0
0
er Systems
0
0
0
0
0
0
314283
317897
efrigeration Total End Uses Completing the Design/Analysis > Fabrication > Validation Cycle0
0
0
0320575
0 320103
0
Closing the Loop:
Generators
0
0
0
0
0
0
0

0

0

0

0

314283

l End Uses

0
320575

320103

317897

311875

30000

0

0

Glass Façade

Alonzo- CI

in Kwh
Shading Profile2

Shading Profile1

Alonzo- CY

Shading Profile3

Shad

Heating

Cooling

311875
315756
20000
10000

315756

Existing Windows

0

0
Heating

DeSouza

Cooling

Interior Lighting

Mora

Shading Profile4

Glass
Heating
30019
35178
34708
31989
30167
33294
kWh
Cooling
45575
54244
54097
51356
45656 DeSouza
50961
façade
Alonzo- CI
Alonzo- CY
Mora
Existing
terior Lighting
97328
87822
88128
92128
94825
89053
over
Shadng 1 Windows
Shadng 2 Shadng 3 Shadng 4
100000
Glass
terior Lighting
0
0
0
0
0
0
existing
overGlass Façade
glass over glass over glass over glass
Existing Windows
Glass Façade
Shading1
Shading2 90000
Shading3
Shading4
façade
ior Equipment
109200
109200
109200
109200
109200
109200
Heating
30019
35178
34708
31989
30167 1 Shadng 2 Shadng 3 Shadng 4
33294
-17%
-7%
14%
4%
over
Shadng
174 1%
ior Equipment
80000
0
0
0
0
0
0
Shading1
Cooling
45575 33203
54244
54097 32486
51356
50961
-19%
0%
-13%
16%
6%
existing 45656glass over glass over glass over glass
over
Glass Façade
Shading1
Shading2
Shading4
Fans Existing Windows
31406
33358
32464
31272 Shading3
70000
172
Interior Lighting
97328 769
88128
92128 33294
10%
0%
5%
-8%
-1%
30019
34708 87822
31989
30167
-17%94825 1%
-7% 89053
14%
4%
Pumps
756
769 35178
761
756
764
60000
Shading2
45575
54244
54097109200
513560 109200
45656
50961
-19%
0%
-13% 109200
16%
6%
Heat Rejection Equipment 0
Interior
109200
109200
109200
0%
0%
0%
0%
0
0
0
0
170 0%
50000
ng
97328
87822
88128 33358
921280 33203
94825
89053
10%31272 0%
5% 32486
-8%
-1%
Humidification
0
0
0
0
0
Fans
31406
32464
-6%
0%
-3%
6%
2%
Shading3
168
pment
109200
109200
109200
1092000
109200 40000
109200
0%
0%
0%
0%
0%
Heat Recovery
0
0
0
0
0
Pumps
756
769
769
761
756
764
-2%
0%
-1%
2%
1%
31406
33358
33203
324640
31272 30000
32486
-6%
0%
-3%
6%
2%
Shading4
Water Systems
0
0
0
0
0
166 0%
Total
314283
320575
320103
317897
311875
315756
-2%
-1%
3%
1%
769
769
7610
764
-2%
0%
-1%
2%
1%
20000
Refrigeration
0 756
0
0
0
0756
164
314283
320103
3178970
311875 10000
315756
-2%
0%
-1%
3%
1%
Generators
0
0 320575
0
0
0

EUI in kWh/sq.m

Area in sqm
in kWh/sq.m
Total End Uses

ighting
quipment

qm
q.m

17

0

1866
0
1866 168
320103

0

1866
314283

320575

168

1866
0
1866317897
172

172

1866
172

0

1866
311875

172

170

0

1866
315756
167

0

1866
170

1866
Heating

1866
167Cooling

1866
169
Interior Lighting

169

162

Pumps

Alonzo- CY

160

35%

Interior
Lighting
1866
31%
172

1866
172

Pumps

Existing Windows
Fans

Heating
10% Shading3
31989
51356
92128
109200
32464
761
Interior
317897

Equipment
35%
1866
170

Shading1

Shading2

Heating
Shading4 10%

30167
45656
94825
109200
Cooling
31272
14%
756
311875
1866
Interior
167
Lighting
31%

33294
50961
89053
109200
32486
764
315756
1866
169

Glass
façade
over
existing
over glass over glass over glass over glass
-17%
1%
-7%
14%
4%
-19%
0%
-13%
16%
6%
10%
0%
5%
-8%
-1%
0%
0%
0%
0%
0%
-6%
0%
-3%
6%
2%
-2%
0%
-1%
2%
1%
-2%
0%
-1%
3%
1%

EUI in kWh/sq.m
174
172
170
168
166
164
162
160
Existing
Windows

Glass Façade

Shading1

Shading2

Shading3

Shading4

Heating
10%

10%
Cooling

Fans
10%

Glass Façade

Mora

Existing Windows Existing Windows
Pumps

Existing Windows
Glass Façade
Shading1
Shading2
30019
35178
34708
Fans
45575
54244
54097
10%
97328
87822
88128
109200
109200
109200 Cooling
31406
33358
33203 14%
Interior
756
769
769
Equipment
314283
320575
320103
1866
168

DeSouza

17

16

16

16

16

16
Existing
Windows

Alonzo- CI

17



DIVA GH/Excel Tool
AB 2013_0316


DIVA calculates cumulative solar radiation incident on the building surface (kWh/m2). Extract the following values from DIVA/GH.
Import from DIVA/GH

Calculated Value

User Input

Import data from GH. Importing Glass, Wall and Floor area is simply surface areas.
wall.

Introduction
Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE


5209.773603
4605.551257
4548.728991
5401.537673
4941.397881


3583.391062
2361.897555
37523.53676
4348.285306
11954.27767


0


490301.7204
681729.406
2214297.921
495919.9132
970562.2403

New York City College of Technology (CUNY)(ft2) x Glass SHGC x Total Radiation (kWh) = Total Heat Gain
Total Area of Glass



Table 5-C—Example Prescriptive Criteria Set, St. Louis, Missouri
(This is Table 5.5-4 in the Standard.)
Building Envelope Requirements for Climate Zone 4 (A,B,C)
NONRESIDENTIAL

RESIDENTIAL

SEMIHEATED

Assembly

Insulation

Assembly

Insulation

Assembly

Insulation

Maximum

Min. R-Value

Maximum

Min. R-value

Maximum

Min. R-Value

Insulation Entirely above Deck

U-0.048

R-20.0 ci

U-0.048

R-20.0 ci

U-0.173

R-5.0 ci

Metal Building

U-0.065

R-19.0

U-0.065

R-19.0

U-0.097

R-10.0

Attic and Other

U-0.027

R-38.0

U-0.027

R-38.0

U-0.053

R-19.0

U-0.104

R-9.5 ci

U-0.090

R-11.4 ci

U-0.580

NR

U-0.113

R-13.0

U-0.113

R-13.0

U-0.134

R-10.0

OPAQUE ELEMENTS
Roofs

Walls, Above-Grade
Mass
Metal Building
Steel-Framed

U-0.064

R-13.0 + R-7.5 ci

U-0.064

R-13.0 + R-7.5 ci

U-0.124

R-13.0

Wood-Framed and Other

U-0.089

R-13.0

U-0.064

R-13.0 + R-3.8

U-0.089

R-13.0

C-1.140

NR

ci
Wall, Below-Grade
Below-Grade Wall

C-1.140

Floors
Mass

NR

C-0.119

R-7.5 ci

ASHRAE Standard 90.1
Table 5-C

U-0.087

R-8.3 ci

U-0.074

R-10.4 ci

U-0.137

R-4.2 ci

Steel-Joist

U-0.038

R-30.0

U-0.038

R-30.0

U-0.069

R-13.0

Wood-Framed and Other

U-0.033

R-30.0

U-0.033

R-30.0

U-0.066

R-13.0

Unheated

F-0.730

NR

F-0.540

R-10 for 24 in.

F-0.730

NR

Heated

F-0.860

R-15 for 24 in.

F-0.860

R-15 for 24 in.

F-1.020

R-7.5 for 12 in.

Slab-On-Grade Floors

Opaque Doors
Swinging

U-0.700

U-0.700

U-0.700

U-0.500

U-0.500

U-1.450

Assembly

Assembly

Assembly

Assembly

Assembly

Assembly

Max. U

Max. SHGC

Max. U

Max. SHGC

Max. U

Max. SHGC

U-0.40

FENESTRATION

SGHC-0.40 all

U-0.40

SGHC-0.40 all

U-1.20

The specified solar heat gain
coefficient for a non-residential
curtain wall with metal framing in
climate zone 4 is 0.40.

SGHC-NR all

Vertical Glazing, 0-40% of Wall
Nonmetal framing, alla
Metal framing, curtainwall/storefront

U-0.50

U-0.50

U-1.20

Metal framing, entrance doorb

U-0.85

U-0.85

U-1.20

Metal framing, all otherb

U-0.55

U-0.55

U-1.20

Skylight with Curb, Glass, % of Roof
0-2.0%

Uall-1.17

SHGCall-

0.49

Uall-0.98

SHGCall-

0.36

Uall-1.98

SHGCall-

NR

Uall-1.17

SHGCall-

0.39

Uall-0.98

SHGCall-

0.19

Uall-1.98

SHGCall-

NR

0-2.0%

Uall-1.30

SHGCall-

0.65

Uall-1.30

SHGCall-

0.62

Uall-1.90

SHGCall-

NR

2.1-5.0%

Uall-1.30

SHGCall-

0.34

Uall-1.30

SHGCall-

0.27

Uall-1.90

SHGCall-

NR

Uall-0.69

SHGCall-

0.49

Uall-0.58

SHGCall-

0.36

Uall-1.36

SHGCall-

NR

Uall-0.69

SHGCall-

0.39

Uall-0.58

SHGCall-

0.19

Uall-1.36

SHGCall-

NR

b

2.1-5.0%
Skylight with Curb, Plastic, % of Roof

Skylight without Curb, All, % of Roof
0-2.0%
2.1-5.0%
a

Nonmetal framing includes framing materials other than metal with or without metal reinforcing or cladding.

b

Metal framing includes metal framing with or without thermal break. The all other subcategory includes operable windows, fixed windows, and non-entrance.

5-20

User’s Manual for ANSI/ASHRAE/IESNA Standard 90.1-2007


Closing the Loop:

CompletingOne way to do this may be setting up threshold bands. For example, for all glass area between 500 and 600 kWh/m2, collect that glass area, and multiply
the Design/Analysis > Fabrication > Validation Cycle ENERGY & DAYLIGHTING ANALYSIS (Vasari/DIVA/EnergyPlus)
wall.

Introduction
Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE


5209.773603
4605.551257
4548.728991
5401.537673
4941.397881



3583.391062
2361.897555
37523.53676
4348.285306
11954.27767


0

490301.7204
681729.406
2214297.921
495919.9132
970562.2403



Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE


5209.773603
4605.551257
4548.728991
5401.537673
4941.397881

Glass SHGC

0.7
0.7
0.7
0.7
0.7

490301.7204
681729.406
2214297.921
495919.9132
970562.2403

1788100000.00
2197800000.00
7050600000.00
1875100000.00
3227900000

Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE





1788100000.00
2197800000.00
7050600000.00
1875100000.00
3227900000



Heat Gain Completing the Design/Analysis > Fabrication > Validation Cycle
Glass SHGC
Closing the Loop: Calculation
Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE

5209.773603
4605.551257
4548.728991
5401.537673
4941.397881

0.7
0.7
0.7
0.7
0.7

ENERGY & DAYLIGHTING ANALYSIS Total Heat Gain (kWh)
(Vasari/DIVA/EnergyPlus)

490301.7204
681729.406
2214297.921
495919.9132
970562.2403

1788100000.00
2197800000.00
7050600000.00
1875100000.00
3227900000

Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE




1788100000.00
2197800000.00
7050600000.00
1875100000.00
3227900000

1 - (Proposed / Baseline) x 100
Performance Report
Cindy Alonzo
Cynthia Alonzo
Luiza DeSouza
Ronny Mora
AVERAGE

Heat Gain Reduction (%) v Existing


Heat Gain Reduction (%) v Typical



Mean Daylight Autonomy
(from DIVA calculations)

Recommended Light Level
in Different Workspaces
(from engineeringtoolbox.com)

Cindy
Cynthia
Ronny
Luiza
Existing Building



Mean Daylight
Autonomy
95%
95%
95%
95%
69%

Expected to qualify
for LEED-NC 2.1
Daylit Area (DA
Daylighting Credit 8.1 300lux[50%])
Yes
100%
Yes
100%
Yes
100%
Yes
100%
No

76%

18.60%
32.10%
20.60%
19.50%
2.40%



FURTHER WORK

FURTHER WORK

BIM Integration, Fabrication, & Field Testing




FURTHER WORK

BIM Integration Using Typical Curtain Wall
(Not Ideal)




FURTHER WORK

BIM Integration Using
Custom Pattern Curtain Walls
(Model by Dave Fano, CASE)
Many Grasshopper Tools
(Including Chameleon)
Have Adaptive Components
Interoperability Tools

BIM Integration Using
Adaptive Components & Python Shell
(Model by Nathan Miller, CASE)


FURTHER WORK

Typical Waterjet Layout



FURTHER WORK

HOW TO GENERATE FLAT PATTERNS FOR SHEET METAL PARTS:
WHEN THE SHEET METAL IS PUT THROUGH THE PROCESS OF BENDING THE METAL AROUND THE BEND IS DEFORMED
AND STRETCHED. AS THIS HAPPENS YOU GAIN A SMALL AMOUNT OF TOTAL LENGTH IN YOUR PART(BEND ALLOWANCE).
LIKEWISE WHEN YOU ARE TRYING TO DEVELOP A FLAT PATTERN YOU WILL HAVE TO MAKE A DEDUCTION FROM YOUR DESIRED PART SIZE TO GET THE CORRECT FLAT SIZE(BEND DEDUCTION).
BEND DEDUCTION:
THE BEND DEDUCTION IS DEFINED AS THE MATERIAL YOU WILL HAVE TO REMOVE FROM THE TOTAL LENGTH OF YOUR
FLANGES IN ORDER TO ARRIVE AT THE FLAT PATTERN.
BEND ALLOWANCE:
THE BEND ALLOWANCE IS DEFINED AS THE MATERIAL YOU WILL ADD TO THE ACTUAL LEG LENGTHS OF THE PART IN ORDER TO DEVELOP A FLAT PATTERN.




AIR BENDING
TYPES OF BENDING:

COINING

FURTHER WORK

BOTTOM BENDING

AIR BENDING:
IS THE MOST COMMON TYPE OF BENDING PROCESS USED IN SHEET METAL SHOPS TODAY. IN THIS PROCESS THE WORK
PIECE IS ONLY IN CONTACT WITH THE EDGE OF THE DIE AND THE TIP OF THE PUNCH. THE PUNCH IS THEM FORCED PAST
THE TOP OF THE DIE INTO THE V-OPENING WITHOUT COMING INTO CONTACT WITH THE BOTTOM OF THE V.
COINING:
IS A BASIC TYPE OF BENDING IN WHICH THE WORKPIECE IS STAMPED BETWEEN THE PUNCH AND DIE. BOTH THE PUNCH
TIP AND THE PUNCH ACTUALLY PENETRATE INTO THE METAL PAST THE NEUTRAL AXIS UNDER A HIGH AMOUNT OF PRESSURE. THE TERM COINING COMES FROM THE IDEA THAT WHEN IT COMES TO MONEY EACH METAL COIN IS MADE EXACTLY THE SAME AS THE LAST DESPITE BEING MASS PRODUCED. FROM THIS IDEA THE NAME COINING WAS APPLIED TO THE
BENDING METHOD WHICH CREATES ACCURATE BENDS CONSISTENTLY.
BOTTOM BENDING:
HAS SIMILARITIES TO BOTH AIR BENDING AND COINING. IN THIS PROCESS THE DIE ANGLE SHOULD MATCH THE INTENDED ANGLE OF THE WORK PIECE, ADJUSTING A FEW DEGREES FOR SPRING BACK, HENCE THE EXISTENCE OF 88 DEGREE
TOOLING TO ACHIEVE 90 DEGREE ANGLES. THE WORK PIECE IS FIRST BOTTOMED AGAINST THE DIE, THEN THE RADIUS
OF THE PUNCH IS FORCED INTO THE WORK PIECE WHICH ACHIEVES THE ANGLE OF THE PUNCH, IT IS THEN RELEASED
AND THE WORK PIECE SPRINGS BACK TO MEET THE DIE AGAIN. UNLIKE COINING HOWEVER THE MATERIAL IS NOT UNDER SO MUCH TONNAGE ..THAT THE METAL FLOWS. BECAUSE OF THIS THERE IS STILL SPRING BACK WHICH MUST BE
COMPENSATED FOR.



1.68"


1.68"

57.70"

0"

2.85"

3.0

11.12"

3.0

0"

12
0°"

2.85"

3.0

18.00"

0"

3.21"

"

0
3.0

TYP. FOR ALL
INSIDE RADII

2.85"

0"

3.0

12

TYP. FOR ALL
INSIDE RADII

F L A T C U T _
L L C
N E W
Y O R K
6 8 J A Y S T R E E T
S T U D I O
8 0 1
BROOKLYN NY 11201
F L A T C U T _
L L C
N E W
J E R S E Y
90 DAYTON AVENUE
B L D G .
1 6 C
PASSAIC, NJ 07055
P :
F :

2 1 2 - 5 4 2 - 5 7 3 2
2 1 2 - 5 4 2 - 5 7 3 3

T HIS SHOP DRAWING IS
RELE AS ED BY FLATCU T_
LLC FOR APPROVAL INTENT
FOR CUSTOMER ONLY. THE
INFORMATION CONTAINED
HEREIN REMAINS NOT FOR
FABRICATION PENDING
FINAL REVIEW AND
RELEASE OF APPROVED
S HO P D RAW I NGS .

SIGNATURE OF
APPROVAL

57.70"

0°"

2.85"

3.21"

"

18.00"

0"

1.48"

3.0

0
3.0

FURTHER WORK
57.70"

0"

1.48"

3.0

TYPICAL PLAN VIEW INDICATING FLANGE LENGTH AND BEND ANGLES

TYPICAL BENDING DRAWING SHOWING 3 POINT PROJECTION VIEW LAYOUT AND ISOMETRIC VIEWS.

BENDING DRAWING CONVENTIONS:
•
•
•
•
•

3 POINT PROJECTION
FLANGE LENGTH DIMENSIONS FROM APEX OF ANGLE.
INDICATE INSIDE BEND ANGLE
PROVIDE ISOMETRIC VIEWS OF PART FOR REFERENCE.
INDICATE METAL GAGE/THICKNESS.




COLLABORATION TOOLS

COLLABORATION TOOLS





COLLABORATION TOOLS


Closing the LOOP - Int'l High Performance Building Conference (Lansing Community College)

Recommended

Recommended

More Related Content

Similar to Closing the LOOP - Int'l High Performance Building Conference (Lansing Community College)

Similar to Closing the LOOP - Int'l High Performance Building Conference (Lansing Community College) (20)

More from NYCCTfab

More from NYCCTfab (20)

Recently uploaded

Recently uploaded (20)

Closing the LOOP - Int'l High Performance Building Conference (Lansing Community College)