IES VE - Modelling More Complex Buildings

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Coursework Exercise 3: Modelling More Complex Buildings (IESVE) Course Leader: Dr. David Jenkins Student Name: Paul McEvoy Student Number: H00167659 Submission Date: 13th December 2013 Architectural Engineering Design Software Applications School of the Built Environment Heriot Watt University

Transcript of IES VE - Modelling More Complex Buildings

 

       

   

 

 

   

 

Coursework  Exercise  3:  Modelling  More  Complex  Buildings  (IES-­‐VE)  

    Course  Leader:     Dr.  David  Jenkins  

      Student  Name:                      Paul  McEvoy  

      Student  Number:   H00167659  

      Submission  Date:     13th  December  2013  

Architectural  Engineering  

Design  Software  Applications  

School  of  the  Built  Environment  

Heriot  Watt  University  

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Table  of  Contents  Introduction  ......................................................................................................................  2  

The  Post  Graduate  Centre  ..................................................................................................  3  

Modelling  of  the  Post  Graduate  Centre  ..............................................................................  3  

Summary  of  Results  ...........................................................................................................  8  Annual  Energy  Result:  ................................................................................................................  8  

Results  Analysis  .................................................................................................................  9  Energy  Consumption  ..................................................................................................................  9  

Electricity  .......................................................................................................................................  9  Natural  Gas  ..................................................................................................................................  11  

Carbon  Emissions  ......................................................................................................................  12  

Conclusion  .......................................................................................................................  15    

   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Introduction  The  following  report  is  an  investigation  into  the  performance  of  Heriot  Watt  Universities  Post  Graduate  Centre  from  an  energy  consumption  and  carbon  emissions  point  of  view.  An  IES-­‐VE  model  of  the  building  has  being  completed  and  a  dynamic  simulation  has  been  carried  out.  The  results  from  this  simulation  will  be  used  to  compare  the  Post  Graduate  Centre  with  similar  buildings  of  its  kind  within  the  UK  using  available  benchmark  values  to  establish  if  the  building  is  performing  to  its  recommended  state.  The  simulation  results  will  also  be  compared  with  the  buildings  actual  recorded  energy  data  to  find  out  if  it  is  performing  better  or  worse  than  the  modelled  building.  An  analysis  into  each  individual  part  of  the  building  will  be  completed  to  see  which  uses  the  most  energy  and  also  to  detect  any  heating  or  cooling  problems  in  those  areas.  Finally,  a  conclusion  will  be  made  for  the  differences  between  modelled  and  measured  energy  results.    

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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The  Post  Graduate  Centre  Heriot  Watts  Post  Graduate  Centre  is  a  state  of  the  art  academic  building  located  on  the  university’s  campus.  Construction  of  the  Post  Graduate  Centre,  designed  by  Hypostyle  Architects,  began  in  2007  and  was  officially  opened  in  2009.  This  three-­‐storey  building  comprises  of  a  large  lecture  auditorium,  a  150  capacity  rated  lecture  theatre  along  with  two  additional  lecture  rooms.  Seminar  rooms,  study  areas  and  social  spaces  are  all  equipped  with  video  conferencing  facilities  and  Wi-­‐Fi  communications.  The  centre  likes  to  encourage  social  networking  and  therefore  has  provided  open  communal  spaces  on  the  top  floor  (Crush  Area)  and  with  the  large  areas  of  glazing  on  this  part  of  the  building;  beautiful  views  of  the  surrounding  outside  areas  are  provided.  Self-­‐catering  facilities  are  available  to  students  as  is  a  café  and  study  spaces  for  small  groups  or  individuals.    The  Centre  has  the  capacity  to  cater  for  an  average  of  1,500  postgraduate  students  ranging  from  100  different  countries.  

Modelling  of  the  Post  Graduate  Centre    A  basic  model  of  the  Post  Graduate  Centre  was  available.  However  the  relevant  glazing  and  solar  shading  was  not  in  this  model  and  the  appropriate  templates  had  not  been  assigned  to  the  specific  room  types.    

After  visiting  the  Post  Graduate  Centre  and  taking  the  relevant  notes  and  photographs,  the  half-­‐finished  modelled  building  was  completed  on  IES-­‐VE.  With  the  aid  of  photographs  and  notes,  glazing,  solar  shading  and  thermal  templates  were  added  were  they  were  considered  necessary.  The  glazing  was  added  to  approximately  the  same  locations  and  dimensions  as  the  actual  building,  100%  in  some  cases  and  an  assumed  window  dimension  for  the  rest  of  the  glazing.  Since  the  building  consists  of  mostly  large  glazed  areas,  quite  a  lot  of  solar  shading  had  to  be  included  in  the  model.    

               

The  solar  shading  was  included  not  only  to  replicate  the  look  of  the  actual  building  but  also  to  have  an  impact  on  the  simulation  results.  The  construction  materials  were  set  to  a  default  construction  template  as  this  complies  with  the  2002  building  regulations,  the  regulations  in  which  the  building  would  possibly  have  been  constructed  under.  Most  of  the  thermal  templates  were  already  created  for  the  model  apart  from  one  for  the  lecture  rooms  and  another  for  crush  areas.    

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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   These  new  templates  are  highlighted  in  yellow  in  the  tables  below.  

Room  Conditions:  

Template  Heating  Set  Point  (°C)   H.  Profile  

Cooling  Set  Point  (°C)   C.  Profile  

Café   21   7am-­‐9pm  Weekday   24   Off  Continuously  

Circulation   19   7am-­‐9pm  Weekday   23   Off  Continuously  

Crush  Area   21  9am-­‐5pm  Weekday  Working   23  

9am-­‐5pm  Weekday  Working  

Lecture  Auditorium   21   7am-­‐9pm  Weekday   23   7am-­‐9pm  Weekday  Lecture  Rooms   19  

9am-­‐5pm  Weekday  Working   23  

9am-­‐5pm  Weekday  Working  

Offices   21  9am-­‐5pm  Weekday  Working   23  

9am-­‐5pm  Weekday  Working  

Toilets   18   7am-­‐9pm  Weekday   23   Off  Continuously  

Voids   19   Off  Continuously   23   Off  Continuously    

System:  

Template   System   Aux.  Ventilation   DHW  Out.  Air  Min.  Flow  rate   Out.  Air  Var.  Profile  

Café  Radiator/Natural  Vent.  

Radiator/Natural  Vent.  

Radiator/Natural  Vent.   0.8  l/s/m²   Off  Continuously  

Circulation  Radiator/Natural  Vent.  

Radiator/Natural  Vent.  

Radiator/Natural  Vent.   0.8  l/s/m²   Off  Continuously  

Crush  Area   Fan  Coil  System   Fan  Coil  System   Fan  Coil  System   10  l/s  7am-­‐9pm  Weekday  

Lecture  Auditorium   Fan  Coil  System   Fan  Coil  System   Fan  Coil  System   10  l/s  

7am-­‐9pm  Weekday  

Lecture  Rooms   Fan  Coil  System   Fan  Coil  System   Fan  Coil  System   10  l/s  

9am-­‐5pm  Weekday  Working  

Offices   Fan  Coil  System   Fan  Coil  System   Fan  Coil  System   10  l/s  7am-­‐9pm  Weekday  

Toilets  Radiator/Natural  Vent.  

Radiator/Natural  Vent.  

Radiator/Natural  Vent.   0.8  l/s/m²   Off  Continuously  

Voids   None   None   None   0.8  l/s/m²   Off  Continuously    

 

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Internal  Gains:  

Template   Gain   Max  Sens.   Max  Lat.   Occupancy  Max  Power   Variation  Profile  

Café   Lighting   14  w/m²          14  w/m²   7am-­‐9pm  weekday  

    People    80  w/person  

60  w/person   4  m²/person      

9am-­‐5pm  weekday  working  

    Cooking   50  w/m²   20  w/m²      70  w/m²   Kitchen  Equipment  

Circulation   Lighting   10  w/m²          10  w/m²   7am-­‐9pm  weekday  

Crush  Area   Lighting   10  w/m²          10  w/m²  

9am-­‐5pm  weekday  working  

    People    90  w/person  

60  w/person   10  m²/person      

9am-­‐5pm  weekday  working  

    Computers   5  w/m²           5  w/m²  9am-­‐5pm  weekday  working  

Lecture  Auditorium   Lighting   15  w/m²          

15  w/m²  

9am-­‐5pm  weekday  working  

    People    80  w/person  

60  w/person   4  m²/person      

9am-­‐5pm  weekday  working  

    Equipment   10  w/m²          10  w/m²  

9am-­‐5pm  weekday  working  

Lecture  Rooms   Lighting   15  w/m²          15  w/m²  

9am-­‐5pm  weekday  working  

    People    80  w/person  

60  w/person   4  m²/person      

9am-­‐5pm  weekday  working  

    Equipment   10  w/m²          10  w/m²  

9am-­‐5pm  weekday  working  

Offices   Lighting   10  w/m²          10  w/m²  

9am-­‐5pm  weekday  working  

    People    90  w/person  

60  w/person   10  m²/person      

9am-­‐5pm  weekday  working  

    Computers   25  w/m²          25  w/m²  

9am-­‐5pm  weekday  working  

Toilets   Lighting   6  w/m²           6  w/m²   7am-­‐9pm  weekday  Voids                          

 

 

 

 

 

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Air  Changes:  

Template   Type   Max  Flow   Variation  Profile  Café   Infiltration   0.2  ach   on  continuously       Natural  Vent.     10  l/s/m²   Weekly  Nat.  Vent.  Circulation   Infiltration   0.2  ach   on  continuously       Natural  Vent.     10  l/s/m²   Weekly  Nat.  Vent.  Crush  Area   Infiltration   0.2  ach   on  continuously  Lecture  Auditorium   Infiltration   0.2  ach   on  continuously  Lecture  Rooms   Infiltration   0.2  ach   on  continuously  Offices   Infiltration   0.2  ach   on  continuously  Toilets   Infiltration   0.2  ach   on  continuously  Voids   Infiltration   0.2  ach   on  continuously  

 

The  ‘crush  area’  template  is  similar  to  the  ‘office’  template,  however  the  internal  gains  for  computers  is  only  5  w/m²  as  opposed  to  25  w/m².  This  is  due  to  the  fact  that  there  is  less  computers  in  this  area  and  therefore  a  lower  heat  gain.  The  ‘Lecture  Rooms’  template  is  similar  to  the  ‘Lecture  Auditorium’  template  with  the  only  variation  being  its  weekly  profile.  Lecture  Rooms  has  a  profile  of  ‘9am-­‐5pm  weekdays  working’  due  to  the  fact  that  this  is  the  likely  hours  in  which  teaching  with  take  place  and  hence,  the  rooms  being  occupied.    

After  the  new  templates  were  created,  all  rooms  were  assigned  to  the  most  suitable  template.  The  table  below  shows  each  allocation.    

 

 

 

 

 

 

 

 

 

 

 

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Floor  Room  Name   Assigned  Template  

Ground  Floor   café   Café  

    Lecture  Auditorium   Lecture  Auditorium  

    Managers  Office   Office  

    Entrance   Circulation  

    Toilets   Toilets  

    Lifts/Stores/stairs/Plant  R.   Voids  

First  Floor   Office   Office  

    Lifts/Stores/stairs/Plant  R.   Voids  

    Lobby/Misc./Space   Circulation  

    Toilets   Toilets  

Second  Floor   Lecture  Rooms   Lecture  Rooms  

    Stairs/Store/Serv./Lift   Voids  

    Toilets   Toilets  

    Misc./Space   Circulation  

Third  Floor   Crush  Area   Crush  Area  

    Stairs/Store/Serv./Lift   Voids  

    Unheated  Space   Voids  

    Crush  Area  (Roof)   Voids  

    Toilets   Toilets  

    Misc./Space   Circulation    

 

   

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Summary  of  Results  On  completion  of  the  model,  a  dynamic  simulation  was  carried  out  to  identify  the  Post  Graduate  Centres  annual  energy  consumption  and  the  resulting  carbon  emissions.    

Annual  Energy  Result:    

Date  Total  natural  Gas  (MWh)   Total  Electricity  (MWh)   Total  energy  (MWh)  

Jan  01-­‐31   16.9382   12.1661   29.1043  Feb  01-­‐28   13.5751   10.5841   24.1593  Mar  01-­‐31   8.8143   11.1262   19.9405  Apr  01-­‐30   4.6376   11.7086   16.3463  May  01-­‐31   1.5777   12.4533   14.031  Jun  01-­‐30   0.5455   11.1251   11.6706  Jul  01-­‐31   0.3988   13.6942   14.093  Aug  01-­‐31   0.3143   13.3967   13.711  Sep  01-­‐30   0.9536   11.9003   12.8539  Oct  01-­‐31   6.6778   12.2411   18.9188  Nov  01-­‐30   12.1069   11.1078   23.2147  Dec  01-­‐31   16.0427   11.6365   27.6792  Summed  total   82.5826   143.1402   225.7226  

 

Annual  Carbon  Results:  

   

Date  Natural  Gas  CE  (kgCO2)   Electricity  CE  (kgCO2)  

Total  system  CE  (kgCO2)  

Jan  01-­‐31   3354   1970   5324  Feb  01-­‐28   2688   1716   4403  Mar  01-­‐31   1745   1808   3553  Apr  01-­‐30   918   1921   2840  May  01-­‐31   312   2119   2431  Jun  01-­‐30   108   1995   2103  Jul  01-­‐31   79   2760   2839  Aug  01-­‐31   62   2794   2856  Sep  01-­‐30   189   2208   2397  Oct  01-­‐31   1322   2009   3331  Nov  01-­‐30   2397   1798   4196  Dec  01-­‐31   3176   1884   5060  Summed  total   16351   24983   41334    

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Results  Analysis  After  the  dynamic  simulation  on  IES-­‐VE,  the  results  taken  from  Vista  will  be  compared  with  the  Post  Graduate  Centres  actual  monitored  results  as  will  they  be  compared  with  similar  non-­‐domestic  buildings  in  the  UK  through  available  energy  consumption  benchmark  guides.  

Energy  Consumption    

CIBSE  TM46  Energy  Benchmarks  

Benchmark  figures  have  been  taken  from  CIBSE  TM46  based  on  the  fact  that  CIBSE  (Chartered  Institute  of  Building  Service  Engineers)  is  a  well-­‐established  and  reliable  organisation  and  has  been  for  many  years.  This  guide  gives  energy  benchmark  values  for  buildings  across  the  UK  under  energy  performance  of  buildings  and  under  the  building  regulations  2007.  The  guide  describes  the  benchmarks  and  explains  the  approach  to  their  development  and  use.    

Energy  Consumption  Guide  54  –  Energy  Efficiency  in  Further  and  Higher  Education    

The  energy  consumption  guide  54  is  more  directed  towards  buildings  similar  to  the  Post  Graduate  Centre  as  it  primarily  focuses  on  University  buildings  across  the  UK.  This  is  the  reason  why  this  guide  was  used.  It  gives  energy  consumption  benchmarks  for  individual  areas  (i.e.  Lecture  Rooms)  of  a  higher  educational  building  along  with  a  total  benchmark  figure  for  the  building.    

 

 

Electricity    

Source   Electricity  kWh/m²/year  Monitored  Results   128  IES  Modelled  Results   62  CIBSE  TM46  Benchmarks   40  ECG  54  Benchmarks   75  

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Fig  1.0  Compared  Annual  Electrical  Consumption  kWh/m²/year  

The  electrical  consumption  of  the  modelled  Post  Graduate  Centre  has  been  compared  with  actual  monitored  results,  benchmark  figures  from  CIBSE  TM46  guide  and  also  benchmark  figures  from  Energy  Consumption  Guide  54.  As  you  can  see  from  the  table  above,  the  actual  monitored  electrical  consumption  for  the  building  is  much  higher  than  the  IES  results  and  industry  benchmarks.    

So  what  are  the  reasons  for  this?  

The  variation  profiles  on  IES  are  set  to  9am  –  5pm  Monday  to  Friday  and  7am  to  9pm  Monday  to  Friday  and  off  completely  on  Saturday  and  Sunday.  This  means  that  IES  is  calculating  loads  for  these  times  only.  The  actual  Post  Graduate  Centre  will  have  a  constant  flow  of  students  coming  into  the  centre  and  using  the  centres  services  in  and  outside  of  these  variation  profiles  especially  during  the  weekends.  Therefore  the  actual  electrical  consumption  is  much  higher  than  the  modelled  results  due  to  electricity  from  lights,  computers  etc.  being  consumed  at  times  outside  of  these  variation  profiles,  for  example  students  coming  in  to  use  the  computers  during  the  weekends  to  complete  project  work.    

The  values  given  in  CIBSE  TM46  and  ECG  54  are  relatively  close  to  the  IES  results  but  are  still  a  little  short  of  the  monitored  results.  Although  the  values  from  CIBSE  and  ECG  are  accurate,  they  are  still  only  a  general  guide  for  this  type  of  building  and  therefore  the  values  will  be  different.    

 

   

0  

20  

40  

60  

80  

100  

120  

140  

Monitored  Results  

IES  Modelled  Results  

CIBSE  TM46  

ECG  54  

               Electricity  kWh/m²/year  

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

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Natural  Gas    

Source   Natural  Gas  kWh/m²/year  Monitored  Results   18  IES  Modelled  Results   36  CIBSE  TM46  Benchmarks   150  ECG  54  Benchmarks   185  

 

 

Fig  2.0  Compared  Annual  Natural  Gas  Consumption  kWh/m²/year  

Like  the  electrical  consumption,  the  Natural  Gas  consumption  of  the  modelled  Post  Graduate  Centre  has  been  compared  with  actual  monitored  results,  benchmark  figures  from  CIBSE  TM46  guide  and  also  benchmark  figures  from  Energy  Consumption  Guide  54.  As  you  can  see  from  the  table  above,  the  modelled  and  monitored  results  are  quite  similar  with  the  monitored  being  the  lesser  of  the  two.  However  there  is  quite  a  significant  difference  in  the  monitored  and  modelled  results  with  the  benchmark  figures.    

Since  the  Post  Graduate  Centre  is  quite  a  new  building,  it  would  have  been  designed  to  preform  efficiently.  Certain  design  measures  have  been  incorporated  in  the  building  to  achieve  this  energy  efficiency.  The  heating  system  operates  only  when  the  room  temperature  drops  below  21oC.  This  is  done  using  room  thermostats  that  basically  detect  when  the  temperature  in  a  zone  has  dropped  below  the  design  temperature  and  if  so,  a  signal  is  sent  to  the  heating  system  telling  it  to  turn  on  and  then  of  once  the  optimum  temperature  is  reached.  This  design  is  much  more  efficient  (using  less  fuel)  than  old  heating  systems  which  in  some  cases  were  designed  to  run  constantly  for  a  set  period  of  time  resulting  in  higher  fuel  consumption.  CIBSE  TM46  has  based  their  benchmark  values  on  buildings  that  were  built  during  the  nineties  which  may  not  have  the  same  efficient  design  

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 !"  

 

as  the  Post  Graduate  Centre.  Likewise  with  ECG  54,  they  have  based  their  benchmarks  on  university  buildings  that  were  possibly  constructed  many  years  ago  and  therefore  the  building  and  its  associated  heating  system  would  be  dated.    Since  these  guides  have  based  their  benchmarks  on  dated  buildings,  this  would  be  the  reason  for  the  difference  in  the  modelled  and  monitored  results  with  the  energy  benchmarks.    

 

Carbon  Emissions  The  Carbon  Emissions  from  the  modelled  results  has  been  compared  with  the  actual  monitored  data  (calculated)  and  benchmarks  from  CIBSE  TM46  and  BSRIA  Rules  of  Thumb.  

BSRIA  Rules  of  Thumb  

BSRIA  has  been  used  to  compare  the  carbon  emissions  based  on  the  fact  that  it  is  a  reliable  source  as  it  has  been  around  since  1955.  This  edition  of  BSRIA  (5th  edition)  was  produced  in  2011  so  therefore  it  is  relatively  new.    

CIBSE  TM46  Energy  Benchmarks  

CIBSE  TM46  has  also  being  used  once  again  based  on  the  fact  that  it  is  a  well-­‐established  and  reliable  organisation.  This  time  however,  it  will  be  used  to  compare  the  Carbon  Emissions  benchmarks  with  the  modelled  buildings  emissions  and  also  with  the  monitored  emissions  (calculated).  

Actual  Post  Graduate  Centres  Carbon  Emissions  

Carbon  Emissions  for  the  Post  Graduate  Centre  have  been  calculated  simply  by  multiplying  the  total  Electrical  and  Natural  Gas  consumption  loads  (monitored  results)  by  their  carbon  emissions  factor  which  was  taken  from  BSRIA  Table  27  -­‐  CO2  emissions  factors  for  different  fuel  types.    

Natural  Gas  Carbon  Emissions:  

18  kWh/m2/year  X  0.198  kgCO2/kWh    

=  3.49  kgCO2/m2/year  

Electricity  Carbon  Emissions:  

128  kWh/m2/year  X  0.517  kgCO2/kWh    

=  66  kgCO2/m2/year  

Total  Carbon  Emissions:  

3.49  kgCO2/m2/year  +  66  kgCO2/m2/year  

=  69.58  kgCO2/m2/year  

 

Design  Software  Applications  Modelling  More  Complex  Buildings  (IES-­‐VE)  

 

 !"  

 

 

 

Fig  3.0  BSRIA  Table  27:  CO2  Emissions  factors  for  different  fuel  types.  

 

Source   Nat.  Gas  CE  (kgCO2/m²)   Electricity  CE  (kgCO2/m²)   Total  CE  (kgCO2/m²/yr)  IES-­‐VE  Modelled  Results   7.109   10.86   17.97  Monitored  Results   3.49   66   69.58  BSRIA   29.7   20.7   50.4  CIBSE  TM46  Benchmarks   28.5   22   50.5  

 

 

Fig  4.0  Compared  Total  Carbon  Emissions  kgCO2/m²/year  

ENER

GY

RULES OF THUMB 5TH EDITION 69

© BSRIA BG 9/2011

Energy and carbon Table 27: CO2 emissions factors for different fuel types

Fuel type Carbon emissions factor (kgCO2/kWh)

Comments Ref

Mains gas 0.198 77

LPG 0.245

Heating oil 0.274

Wood pellets 0.028

Wood chips 0.009

Grid supplied electricity 0.517

Grid displaced electricity 0.529

Waste heat 0.058

Dual fuel (mineral + wood) 0.206

Your notes:

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As  you  can  see  from  the  table  above,  the  monitored  carbon  emissions  seem  to  be  in  line  with  carbon  emissions  of  similar  type  buildings.    The  values  are  quite  similar  to  the  benchmarks.  This  is  telling  us  that  the  Post  Graduate  Centre  is  preforming  to  a  recommended  standard  as  set  out  in  the  guides.    

 

Fig  5.0  Compared  Natural  Gas,  Electrical  and  Total  Carbon  Emissions  kgCO2/m²/year  

This  chart  shows  a  breakdown  of  the  different  fuel  types  carbon  emissions.  As  you  can  see,  the  IES-­‐VE  carbon  emissions  are  quite  low  compared  to  the  other  three  sources.  The  reason  for  this  is  that  the  variations  profiles  set  up  in  the  model  only  account  for  the  building  being  in  use  from  Monday  to  Friday  and  within  the  specific  time  frame.  IES  assumes  that  everything  is  turned  of  during  the  weekend.  However  this  would  not  be  the  real  case  since  some  students  tend  to  use  the  building  at  the  weekends  for  study  or  some  other  academic  purposes.    

Although  the  total  carbon  emissions  for  the  Post  Graduate  Centre  are  quite  similar  to  the  benchmarks  it  is  interesting  to  see  that  there  is  a  significant  difference  in  the  Natural  Gas  and  Electrical  emissions.  As  said  previously  the  difference  in  the  Natural  gas  would  be  due  to  the  fact  that  these  guides  have  based  their  benchmarks  on  possibly  dated  buildings  with  inefficient  heating  systems,  and  hence  a  higher  Natural  Gas  consumption.  The  Electrical  could  be  different  due  to  the  specific  building  in  the  guides  does  not  completely  replicate  the  actual  Postgraduate  centre,  and  therefore  the  emissions  will  not  be  exactly  the  same.    

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 !"  

 

Conclusion  This  exercise  has  showed  us  that  although  the  building  model  is  similar  in  some  ways,  it  is  difficult  to  identically  replicate  the  exact  building  and  this  can  be  seen  in  the  comparison  of  the  results.  The  building  looks  to  be  preforming  better  than  the  modelled  building  and  also  better  than  industry  benchmarks  from  a  Natural  Gas  consumption  point  of  view.  The  electrical  consumption  is  higher  than  the  model  but  again  as  said  before;  it  is  hard  to  completely  replicate  the  actions  of  the  building  and  its  users.