Metal Building Manufacturers Association (MBMA) Energy...

Presented to:

Metal Building Manufacturers Association (MBMA)

Energy Workshop

Atlanta, GA

November 1, 2017

By:

Joshua New, Ph.D., CEM®

Founder and CEO, Tunation, LLC

[email protected]

Joshua New,

CEOAaron Garrett,

COO

Mark Adams,

CTO

mailto:[email protected]

MBMA Energy Workshop 2017

For people interested in using RSC in a business or as part of their quotation system

Follow instructions on “How to get started” at http://rsc.ornl.gov/web-service.shtml

Time required (~8 minutes): ○ 1c) install python – 3 minutes

○ 1e) add ;C:\Python27 to end of “Path” – 1 minute

○ 2a) download/install ez_setup.py – 1 minute

○ 2b-2g) install pip and suds – 2 minutes

○ 3a) Download client, run batch – 1 minute

Advanced #1 - setup

Joshua New, Ph.D., C.E.M. Career

2009+ Oak Ridge National Laboratory, R&D staff

○ ETSD, Building Technology Research & Integration Center (BTRIC),

Building Envelope & Urban Systems Research Group (BEUSR),

Urban Dynamics Institute (UDI)

2012+ The University of Tennessee, Joint Faculty

Education The University of Tennessee, (2004-2009), Knoxville, TN

Ph.D. Computer Science.

Jacksonville State University, AL (1997-2001, 2001-2004)

M.S. Systems&Software Design, B.S. Computer Science,

Mathematics and Physics minor.

Professional Involvement

Lead 1 of 3 core teams for EnergyPlus and OpenStudio

IEEE, Senior Member

ASHRAE, defines international building codes

○ TC1.5, Computer Applications, Voting member and officer

○ TC4.7, Energy Calculations, Voting member and officer

○ TC4.2, Climatic Information, Voting member and officer

○ SSPC169, Weather Data for Building Design Standards

(24% of page count of building code), Voting member

ASHRAE Design Conditions

ASHRAE Climate Zones

Based on

weather

stations, most

w/ 18+ yrs of

quality data

(1961-1990)

Updated every 4 years (2021)

Climate Zone 0 (extremely hot):10,800 < CDD 50°FInt’l Energy Conservation Code (IECC)

adopts for 2018 codeORNL and NASA roughly projecting CZ0 in US 2070


Weather station and population


OVERVIEW

Motivation

DOE’s Roof Savings Calculator (RSC)

RSC testing and publications

RSC latest additions


40 Years: Energy and Quality of Life

Energy Flows in U.S. (2013)

Commercial Site Energy



Figure 3. Commercial energy

loads attributed to envelope

and windowsSource: Building Energy Data Book, U.S. DOE,

Prepared by D&R International, Ltd., September

2008.

Figure 2. Residential

energy loads attributed to

envelope and windowsSource: Building Energy Data Book, U.S.

DOE, Prepared by D&R International, Ltd.,

September 2008.

-

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

Ro

of

Walls

Fo

und

atio

n

Infi

ltra

tio

n

Win

do

ws

(co

nd

uctio

n)

Win

do

ws

(so

lar g

ain

)

Inte

rnal

Gain

s

To

tal

Qu

ad

s

Cooling Heating

-

1.00

2.00

3.00

4.00

5.00

Ro

of

Walls

(2)

Fo

und

atio

n

Infi

ltra

tio

n

Ventila

tio

n

Win

do

ws

(co

nd

uctio

n)

Win

do

ws

(so

lar g

ain

)

Inte

rnal

Gain

s

To

tal

Qu

ad

s

Cooling Heating

Energy by Envelope (out of 97.6 quads)


OVERVIEW

Motivation





Website (web-based calculator) Input: details of base-case versus cool-roof (or

support roof/attic technology)

Output: energy and cost savings

Web Service Used by companies to automate creation of input files

and processing of output files (without having to select options)

Most common use: include RSC results in quotation-generation system for return-on-investment (ROI) of different products or services your company offers

What is RSC?

INDUSTRY

COLLABORATIVE

R&D

Marc LaFrance

DOE BT

R. Levinson,

H. Gilbert,

H. Akbari

Chris Scruton

CEC

A. Desjarlais,

W. Miller,

J. New

WBT

Joe Huang,

Ender Erdem

Roof Savings Calculator (RSC)

Web-based building energy model tool


Replaces:

EPA Roof Comparison Calc

DOE Cool Roof Calculator

Minimal questions (

AtticSim - ASTM C 1340 Standard For Estimating Heat Gain or Loss

Through Ceilings Under Attics

RSC = AtticSim + DOE-2.1E


AtticSim

DOE-2

Roof Savings Calculator Screenshots

RSC non-roof inputs – postcode envy

RSC non-roof inputs

RSC roof inputs

RSC roof inputs – what’s wrong?

RSC roof inputs

Personal Story

RSC outputs

RoofCalc.com impact

Average: 64

visitors/day

100,000+ visitors, 200+ feedback


Leveraging resources to facilitate deployment of building energy efficiency technologies

Software Development Public Website/service Industry & Building Owners

Roof Savings Calculator (RSC) web

site/service developed and validated

[estimates energy and cost savings

from roof and attic technologies]

CentiMark, the largest nation-wide

roofing contractor (installs 2500

roofs/mo), is integrating RSC into

their proposal generating system

(20+ companies now interested)

AtticSim

DOE-2

Engine (AtticSim/DOE-2) debugged

using HPC Science assets enabling

visual analytics on 3x(10)6 simulations

Science-enabled business solutions



OVERVIEW

Motivation




Description

Reflect

ance

Emis

sivity SRI

Houston

$ saved …13

BUR No Coating 10 90 6 42

Mineral Mod Bit 25 88 25 103

Single Ply 32 90 35 230


Metal 35 82 35 60

Aluminum Coating 43 58 35 279


Coating over BUR 49 83 55 433

Metal 49 83 55 208

…14

Cost savings for offices – local utility prices,

14 cities, 22 roof types

Heating-dominated

Northern climates

Cooling-dominated

Southern climates

Mellot, Joseph W., New, Joshua R., and Sanyal, Jibonananda. (2013). "Preliminary Analysis of Energy Consumption for

Cool Roofing Measures." In RCI Interface Technical Journal, volume 31, issue 9, pp. 25-36, October, 2013.

Nationwide studies


Nationwide studies


Large DataVisualization

Knowledge

38

Example finding

Selection of heating outliers

All have box building type and

in Miami, FL

Climate Zone

Building Type

Jan Dec

Energ

y to

heat th

e b

uild

ing

Jul

New, Joshua R. (2016). Invited Speaker. “How to use DOE’s Roof Savings Calculator." International Reflective Insulation Manufacturers

(I-RIM) Conference, Hollywood, FL, June 1, 2016. [web]

1. New, Joshua R., Miller, William A., Huang, Yu (Joe), and Levinson, Ronnen. (2016). "Comparison of Software Models for Energy Savings

from Cool Roofs" [Special issue]. Journal of Energy and Buildings on Countermeasures to Urban Heat Island, volume 114, issue 0, pp. 130-

135, February 2016. [ENB] [PDF]

2. Huang, Yu (Joe), New, Joshua R., Miller, William A., and Levinson, Ronnen (2015). "A Web-Based Simulation Tool on The Performance of

Different Roofing Systems." In Proceedings of the Building Simulation 2015 Conference, Hyderabad, India, December 7-9, 2015. [IBPSA]

[PDF] [PPT]

3. New, Joshua R., Miller, William A., Huang, Yu (Joe), and Levinson, Ronnen. (2014). "Comparison of Software Models for Energy Savings

from Cool Roofs." In Proceedings of the 3rd International Conference on Countermeasures to Urban Heat Island (IC2UHI), Venice, Italy,

October 13-15, 2014. [PDF] [PPT]

4. New, Joshua R., Levinson, Ronnen, Huang, Yu (Joe), Sanyal, Jibonananda, Miller, William A., Childs, Kenneth W., and Kriner, Scott

(2013). "In-Depth Analysis of Simulation Engine Codes for Comparison with DOE's Roof Savings Calculator and Measured Data." ORNL

internal report ORNL/TM-2014/218, June 27, 2014, 69 pages. [ORNL] [PDF]

5. Mellot, Joe, New, Joshua R., and Sanyal, Jibonananda. (2014). "Cool Roofing: Analysis of Energy Consumption for Cool Roofing." In

Western Roofing - Insulation and Siding, issue January/February, volume 37, number 1, pp. 50-56, February, 2014. [PDF]

6. New, Joshua R., Huang, Yu (Joe), Levinson, Ronnen, Sanyal, Jibonananda, Miller, William A., and Childs, Kenneth W. (2013). "Analysis of

DOE's Roof Savings Calculator with Comparison to other Simulation Engines." ORNL internal report ORNL/TM-2013/501, November 1,

2013, 63 pages. [ORNL] [PDF]

New, Joshua R. (2013). Invited Speaker. "Science Behind ORNL's Building Technology Research Integration Center (BTRIC)." Roof

Coating Manufacturer's Association, Oak Ridge, TN, October 8, 2013. [PPT]

7. Mellot, Joseph W., New, Joshua R., and Sanyal, Jibonananda. (2013). "Preliminary Analysis of Energy Consumption for Cool Roofing

Measures." In RCI Interface Technical Journal, volume 31, issue 9, pp. 25-36, October, 2013. [RCI] [PDF]

8. Mellot, Joseph W., Sanyal, Jibonananda, and New, Joshua R. (2013). "Preliminary Analysis of Energy Consumption for Cool Roofing

Measures." Presented at the International Reflective Roofing Symposium, the American Coating Association's (ACA) conference, and

in Proceedings of the ACA's Coating Regulations and Analytical Methods Conference, Pittsburgh, PA, May 14-15, 2013. [PDF] [PPT]

9. New, Joshua R., Miller, William (Bill), Desjarlais, A., Huang, Yu Joe, and Erdem, E. (2011). "Development of a Roof Savings Calculator."

In Proceedings of the RCI 26th International Convention and Trade Show, Reno, NV, April 2011. [PDF] [PPT]

Publications

http://web.eecs.utk.edu/~newhttp://dx.doi.org/10.1016/j.enbuild.2015.06.020http://web.eecs.utk.edu/~new/publications/2015_EandB_RSC_Software_Comparison.pdfhttp://www.ibpsa.org/proceedings/BS2015/p2846.pdfhttp://web.eecs.utk.edu/~new/publications/2015_BS_RSC.pdfhttp://web.eecs.utk.edu/~new/presentations/2015_BS_RSC.pdfhttp://web.eecs.utk.edu/~new/publications/2014_IC2UHI.pdfhttp://web.eecs.utk.edu/~new/presentations/2014_IC2UHI.pdfhttp://info.ornl.gov/sites/publications/Files/Pub50015.pdfhttp://web.eecs.utk.edu/~new/publications/2014_RSC_InDepthAnalysis.pdfhttp://web.eecs.utk.edu/~new/publications/2014_WesternRoofing.pdfhttp://info.ornl.gov/sites/publications/Files/Pub46387.pdfhttp://web.eecs.utk.edu/~new/publications/2013_RSC_ComparisonWithPreviousSimulations.pdfhttp://web.eecs.utk.edu/~new/presentations/2013_RCMA_RSC.pdfhttp://www.rci-online.org/interface-articles-2013.htmlhttp://web.eecs.utk.edu/~new/publications/2013_CoolRoofMeasures.pdfhttp://web.eecs.utk.edu/~new/publications/2013_ACA.pdfhttp://web.eecs.utk.edu/~new/presentations/2013_ACA.pptxhttp://web.eecs.utk.edu/~new/publications/2011_RCI.pdfhttp://web.eecs.utk.edu/~new/presentations/2011_RCI.ppt

Duct heat transfer – radiation!


OVERVIEW

Motivation




Validation Project Approval

DOE moved solely to EnergyPlus,

OpenStudio, and SOEP

Fraunhofer working on AtticSim for

EnergyPlus

Validation project to fix known issues

Thanks to the efforts of Andre

Desjarlais

Thanks for financial support from 15

organizations

Each organization has a member on

the project steering committee

1 American Iron and Steel Institute

2

Asphalt Roofing Manufacturers

Association

3

Chemical Fabrics and Film

Association

4 Cool Roof Rating Council

5 Copper Development Association

6 EPDM Manufacturers Association

7

Metal Building Manufacturers

Association

8 Metal Construction Association

9 National Coil Coaters Association

10

Polyisiocyanurate Insulation

Manufacturers Association

11

Roof Coating Manufacturers

Association

12 Spray Polyurethane Foam Alliance

13 SPRI

14 Tile Roofing Institute

15 RCI, Inc.

RSC – New Features

ASV gap sizes (11/1/16)

Dynamic roof properties – when a new roof type is

selected, the default reflectance and emittance are

dynamically changed to the average 3-year aged

values for that roof type (from referenced studies);

the user can still change these for their specific roof


Copper roof (11/1/16) – a roof type of

“Copper” is now available in both the

residential and commercial calculator

Mouse-over tooltip for roof type shows

the aging of copper from 1-30 years


Peak Demand

Reduction Calculation

(12/1/16)

RSC – Analysis

All non-configurable model inputs (e.g. envelope materials, internal heat sources) were assigned closely to the buildings used in Akbari & Konopacki for comparison

Python analysis file evolved over 43 iterations for conducting parametric analysis of multiple RSC revisions and generating statistics & charts for analysis of RSC simulations

Iterations of ~139 Excel workbooks were generated to aid in the analysis of energy performance and trends as revisions to RSC were made

RSC – Engine modifications

Modification to DOE-2+AtticSim executable

Dynamic duct-sizing

DOE-2 duct model replaces AtticSim’s duct model AtticSim’s duct model (inspec-R-8, 4% leaky; uninspec-R-5.5, 14% leaky) was changed out for DOE-2’s duct model (inspec-deltaT 4-degrees, 4%; uninspec-deltaT 6-degrees, 14% leaky)

Modifications to all prototype buildings Commercial buildings’ “existing” vintage was changed from PSZ (constant volume system) to PVAVS in order to eliminate inordinate heating penalties; this taints equipment efficiencies compared to earlier versions of RSC

Sizing runs were added to the base case and used in the comparison case so that the same-sized HVAC is used in determining energy savings

30+ updated tooltips – text, hyperlinks, images, publications

Issues under investigation: Energy savings (or penalties) and indoor air temperatures still being investigated

Simulated heating penalties and indoor air temperatures higher than expected, especially in warm climates

Presented to:

Metal Building Manufacturers Association (MBMA)

Energy Workshop

Atlanta, GA

November 1, 2017

By:

Joshua New, Ph.D., CEM®

Founder and CEO, Tunation, LLC

[email protected]

Joshua New,

CEOAaron Garrett,

COO

Mark Adams,

CTO

mailto:[email protected]

EXTRA SLIDES – USING RSC

Exercise #1 – got internet?

Building Details

HVAC efficiency and utility prices

Roof and Attic Information(base vs. comp)

Reports energy and cost savings

Residential

RSC Residential Building

Office “Big Box” Retail Warehouse

Torcellini et al. 2008, “DOE Commercial Building Benchmark Models”,

NREL/CP-550-43291, National Renewable Energy Laboratory, Golden CO.

RSC Commercial Buildings

AtticSim

DOE-2

Roof Savings Calculator Screenshots

“Pop” Quiz

What happens when you click on the bar for “Building,” “Heating/Cooling,” or “Roof 1/Roof 2”?

What is this effect called?

Exercise #2 – field sobriety test

Visit roofcalc.com Bonus: try it on your smartphone!

Select residential Select “1. Closest location” (ordered by state, then city)

Daytona Beach Jacksonville Key West Miami Tallahassee Tampa West Palm Beach

Click calculate if you must (server can only run 4 at a time)

Reports energy and cost savings

- 248 miles, 3h32m

- 333 miles, 4h38m

- 180 miles, 3h35m

- 20 miles, 27m

- 467 miles, 6h28m

- 265 miles, 3h39m

- 53 miles, 52m

Exercise #3 – hidden agenda

Change the window-to-wall ratio Default commercial – 40%

Default residential – 14.5%

RSC non-roof inputs – postcode envy

RSC non-roof inputs

AtticSim

DOE-2

RSC roof inputs

Smart surfaces

Switch at

84˚F

Switch at

65˚F

RSC roof inputs

RSC roof inputs – what’s wrong?

RSC roof inputs

Personal Story

Exercise #4 – home free

Run a simulation for your own building

RSC outputs

Expert Quiz

RSC supports roof/attic comparison, but not building or HVAC comparisons. You’re good at math, you decide to run simulations separately and compile the following table:

The trend of increase R-value means less energy savings seems right. Is this a good gas/electric comparison?

Gas Heat Electric Heat

City

Stat

e

R-

value

Cooling

Benefit

Heating

Penalty

Net

Impact

Cooling

Benefit

Heating

Penalty

Net

Impact

Rochester NY R-20 $103 ($431) ($327) $360 ($310) $51

Rochester NY R-25 $91 ($380) ($289) $315 ($275) $40

Rochester NY R-30 $80 ($341) ($261) $279 ($244) $35

RSC outputs

Expert Quiz – use the files

No! (Your math isn’t that good.)

HVAC Type (doe2.out:5993-6007) Natural gas furnace is PVAVS

Electric heat pump is HP

DOE 2 reference manual – the trail deepens http://doe2.com/download/DOE-21E/DOE-2ReferenceManualVersion2.1A.pdf

Expert Quiz – use more files

More detail of HP (pp. 323-326) and PVAVS (pp. 348-351) equipment curves hard-coded in DOE-2; WB/WT vs. WB/ODB Translation: wet bulb water temp different from outdoor temp would

yield proportionally large difference in energy consumption

Expert Quiz – the plot thickens

Autosizing RSC autosizes the HVAC based upon the building characteristics;

energy consumption varies for different tonnage units, even for the same system type, due to cycling time and other performance factors.

Unmet hours RSC’s autosizing is fairly aggressive and can lead to hundreds of

unmet hours (any fraction of the hour outside of the 2-degree deadband) Setpoint: 72°F. Which has the greatest number of unmet hours?

50°F degrees all winter

69°F degrees all winter

69.9°F for 1 minute of each hour all winter

RSC wizard – not yet releasedInput Parameter GUI

Database caching – not yet released

Database

UserRSC

Web ServerRSC Engine

Inputs

Savings

Simulate

Savings

Exists?Re

su

lts

Results

4 seconds

2 minutes

ORNL Server

Quote

“We speak piously of … making small

studies that will add another brick to the

temple of science. Most such bricks just

lie around the brickyard.”–J.R. Platt, Science 1964, 146:347-53

RSC web service (for businesses)

…download example building and batch script from rsc.ornl.gov/web-service.shtml

Try for free, license, install, change 1 line of code

Who completed download and installation of

the RSC web service?

Advanced #2 – setup checkup

ORNL Server

RSC Web Service Diagram

Database

UserRSC

Web ServerRSC Engine

Inputs

Savings

Simulate

Savings

Exists?Resu

lts

Results

4 seconds

2 minutes

Scripted System Service

Simulate

Savings

Saving

s

SoapResults = simulate(SoapModel) Accepts a model and returns the RSC results

ZipString = test(SoapModel) Forces the model to be evaluated by the engine (rather than checking

the database) and returns a zip (as a base64-encoded string) of the DOE2/AtticSim output files

ScenarioID = upload(SoapModel, SoapResults) Uploads the model and results to the database, bypassing the engine

(SoapModel, SoapResults) = download(ScenarioID, VersionNumber) Downloads a model/result pair for the scenario ID and version number

RSC Web Service

Soap Model buildingLocation

buildingType

buildingArea

buildingFloors

buildingWwr

buildingVintage

heatingType

heatingEfficiency

coolingEfficiency

atticVent

atticInsulation

atticRadiantBarrier

ductLocation

ductInspection

roofType

roofReflectance

roofEmittance

roofPitch

Soap Result source

executionTime

scenarioId

versionNumber

heatingGas01

heatingGas02…

heatingGas12

heatingElectricity01

heatingElectricity02…

heatingElectricity12

coolingElectricity01

coolingElectricity02…

coolingElectricity12

fanElectricity01

fanElectricity02…

fanElectricity12

RSC Web Service XML

$client = new SoapClient("URL/TO/WEB/SERVICE/rsc.wsdl");

$m = new Model();

$m->load_from_xml(simplexml_load_file("../examplemodel.xml"));

$sr = $client->simulate(model_to_soap($m));

print_r($sr);

$m = new Model();


print_r(model_to_soap($m));

$contents = $client->test(model_to_soap($m));

$file = fopen("phptest.zip", "w");

fwrite($file, base64_decode($contents));

fclose($file);

$m = new Model();


$r = new Results();

$r->load_from_xml(simplexml_load_file("../exampleresults.xml"));

$sid = $client->upload(model_to_soap($m), results_to_soap($r));

echo($sid);

$modres = $client->download(83356208, "0.9");

echo(soap_to_model($modres["soapmodel"])->to_string());

echo(soap_to_results($modres["soapresults"])->to_string());

RSC Web Service Example (Php)

client = suds.client.Client('URL/TO/WEB/SERVICE/rsc.wsdl')

print(client)

sm = client.factory.create('schema:soapmodel')

load_soap_model_from_xml('../examplemodel.xml', sm)

sr = client.service.simulate(sm)

print(sr)



print(sm)

contents = client.service.test(sm)

with open('pytest.zip', 'wb') as outfile:

outfile.write(base64.b64decode(contents))



sr = client.factory.create('schema:soapresults')

load_soap_results_from_xml('../exampleresults.xml', sr)

sid = client.service.upload(sm, sr)

print(sid)

modres = client.service.download(83356208, '0.9')

print(modres['soapmodel'])

print(modres['soapresults'])

RSC Web Service Example (Python)


print(client)




print(sr)



print(sm)









print(sid)





With great power

there must also come

great responsibility.

Why is this

dangerous?


print(client)




print(sr)



print(sm)









print(sid)





How do you create a custom building?

Edit example_client\examplemodel.xml

Advanced #4 – edit building

But these are only some of the options, what are all the

variables and options for those variables? http://evenstar.ornl.gov/RSC/service/rsc.xsd

Advanced #4 – edit building…

Edit examplemodel.xml to define your

building

Run rscdemo.bat to simulate it

Parse exampleresults.xml for simple results

Parse pytest.zip\[input.inp,readout.dat,

doe2.out] for more complex results

Advanced #5 – home free

Metal Building Manufacturers Association (MBMA) Energy...

Documents

Transcript of Metal Building Manufacturers Association (MBMA) Energy...