Building Performance Assessment Proposed methodology and - - PowerPoint PPT Presentation

Building Performance Assessment

Proposed methodology and consultation on validation procedures, streamlining and assuring project Impact Introductory Session #2: 12 Aug 2014 Presenter: Tom Hamlin, UN DESA

ESD eQUEST Webinar - CAPACITY BUILDING AND TRAINING SERIES

AGEN ENDA

11:30 AM EDT KHM Hospital, Belize 12:40 PM Weather TMYs – the theory

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KHM Hospital

Actual year data. When a typical year is needed, TMY2 or WYEC2 data are recommended. In some cases you may want a specific year for a given location rather than a typical year. If so, you may create your own DOE-2 weather files from a wide variety of standard format weather data using the DOE-2 weather processor utility program

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DOEWth: Convert NOAA/NCDC and Other Common Format Files into eQUEST and DOE-2 BIN Files*

The DOE-2 processor that can convert a variety of standard formats, obtained from NOAA/NCDC and other sources, into DOE-2 bin files. This utility can process TMY2, WYEC2 CZ2 and other common formats but is a DOS box tool that does not include a windows user interface. A DOE22 directory will be created with a util32 subdirectory containing a number of batch procedures to utilize the DOEWth processor. These are described in the Readme.txt file in the util32 sub-directory, and include:

• LSTABIN- used to list a DOE-2 bin file
• LSTATMY- used to list a NOAA TMY format text file
• LSTATRY- used to list a NOAA TRY format text file
• MKAFT- used to create a text file (.ft format) from a bin file
• PKAFT- used to create a bin file from a text file (.ft format)
• PKATPE- used to process a NOAA text file into a DOE-2 bin file
• STAT - used to create a weather file statistical summary of a bin file

* http://doe2.com/index_wth.html

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Belize City

Unit Climate data location Project location Latitude ˚N 17.5 17.5 Longitude ˚E

• 88.3
• 88.3

Elevation m 5 5 Heating design temperature °C 18.1 Cooling design temperature °C 32.2 Earth temperature amplitude °C 7.1 Month Air temperature Relative humidity Daily solar radiation - horizontal Atmospheric pressure Wind speed Earth temperature Heating degree-days Cooling degree-days °C % kWh/m²/d kPa m/s °C °C-d °C-d January 23.7 83.4% 3.91 100.3 3.0 23.1 425 February 24.8 81.7% 4.70 100.2 3.4 24.1 414 March 26.1 79.5% 5.43 100.1 3.8 25.7 499 April 27.1 79.2% 5.97 100.0 3.8 26.7 513 May 28.1 80.0% 5.72 99.9 3.8 27.0 561 June 28.4 81.7% 5.19 99.9 3.8 26.9 552 July 28.1 82.3% 5.13 100.1 3.6 26.5 561 August 28.3 82.4% 5.14 100.1 3.0 26.7 567 September 28.3 83.6% 4.86 99.9 2.7 26.8 549 October 26.8 85.3% 4.46 100.0 2.8 26.0 521 November 25.2 85.6% 4.02 100.1 2.7 24.7 456 December 24.1 85.3% 3.66 100.3 2.7 23.5 437 Annual 26.6 82.5% 4.85 100.1 3.3 25.6 6,056 Measured at m 10.0 0.0

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Meridia

Unit Climate data location Project location Latitude ˚N 21.0 21.0 Longitude ˚E

• 89.7
• 89.7

Elevation m 9 9 Heating design temperature °C 15.4 Cooling design temperature °C 37.1 Earth temperature amplitude °C 11.0 Month Air temperature Relative humidity Daily solar radiation - horizontal Atmospheri c pressure Wind speed Earth temperatur e Heating degree- days Cooling degree- days °C % kWh/m²/d kPa m/s °C °C-d °C-d January 23.2 73.9% 4.25 101.3 3.6 22.5 409 February 24.4 70.4% 4.97 101.2 4.1 24.2 403 March 25.9 66.1% 5.77 101.0 4.6 27.2 493 April 27.7 64.3% 6.35 100.9 4.8 28.6 531 May 28.9 66.6% 6.31 100.8 4.8 28.8 586 June 28.4 75.2% 5.87 100.9 4.0 27.6 552 July 27.8 77.9% 5.90 101.1 3.5 27.2 552 August 27.7 79.8% 5.71 101.0 3.0 27.2 549 September 27.4 81.5% 5.36 100.8 2.8 26.8 522 October 26.5 79.7% 4.78 101.0 3.2 25.5 512 November 25.1 77.6% 4.33 101.1 3.4 24.1 453 December 23.6 77.0% 3.98 101.3 3.5 22.7 422 Annual 26.4 74.2% 5.30 101.0 3.8 26.0 5,983 Measured at m 10.0 0.0

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Montego Bay

Unit Climate data location Project location Latitude ˚N 18.5 18.5 Longitude ˚E

• 77.9
• 77.9

Elevation m 8 8 Heating design temperature °C 22.1 Cooling design temperature °C 32.1 Earth temperature amplitude °C 4.2 Month Air temperatur e Relative humidity Daily solar radiation - horizontal Atmospher ic pressure Wind speed Earth temperatur e Heating degree- days Cooling degree- days °C % kWh/m²/d kPa m/s °C °C-d °C-d January 25.6 77.3% 4.58 100.9 4.1 25.5 484 February 25.6 75.4% 5.30 100.9 4.0 25.7 437 March 26.0 75.8% 6.04 100.8 3.8 26.5 496 April 26.8 75.3% 6.55 100.7 3.7 27.6 504 May 27.5 77.8% 6.14 100.7 3.5 27.5 543 June 28.3 75.7% 6.36 100.7 3.9 27.7 549 July 28.5 75.5% 6.42 100.8 4.0 27.7 574 August 28.5 76.6% 6.12 100.7 3.4 27.9 574 September 28.1 77.4% 5.74 100.6 2.9 27.9 543 October 27.6 79.0% 5.15 100.6 2.9 27.4 546 November 27.1 79.1% 4.54 100.6 3.6 26.8 513 December 26.2 77.8% 4.26 100.8 4.0 26.0 502 Annual 27.2 76.9% 5.60 100.7 3.6 27.0 6,263 Measured at m 10.0 0.0

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Demo sites during the training / consultation

• Gov’t Office building each?
• Hospital each?
• 3 Hotels
• 2 supermarket/stores/strip malls
• 2 restaurants

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Training roll-out plans for each country

• Trainers,
• Institutions
• Industry Participants

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Preparing for 3rd session

• Continue reading Tutorial Workbook Introductory

Tutorial: Simulation Basics, Schematic Design Wizard and Energy Efficiency Measures sections

• Gather data for your buildings
• We can start RETScreen next week

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