2011 Tarik Al-Shemmeri 1

ENERGY AUDIT FOR BUILDDINGS 05/04/2011 Tarik Al-Shemmeri 1 Energy Audits Is about the What, Where, and When energy is used And suggesting how thi...
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ENERGY AUDIT FOR BUILDDINGS

05/04/2011

Tarik Al-Shemmeri

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Energy Audits Is about the What, Where, and When energy is used And suggesting how this consumption can be reduced

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Energy Audits Energy Audit will provide: !  financial, !  operational and !  Environmental

benefits 05/04/2011

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Energy Audits !  Financial Benefits ! Reduced fuel and electricity bills. ! Reduced operation and maintenance costs . ! Reduced capital expenditure.

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Energy Audits !  Operational Benefits ! Improved comfort levels ! Improved efficiency ! Better informed workers on global issues.

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Energy Audits !   Environmental benefits – ! Reduced consumption of finite resources. ! Reduced Pollution levels. ! Improved public image.

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Assessing current building performance Two methods of Energy Audit: !  The Regression Method, and !  The NPI Method.

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Assessing current building performance !  The Regression Method A standard method to assess the energy use in buildings, done by plotting the energy consumption each Month against the Degree days for that month.

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Assessing current building performance !  The Regression Method This will show the trend in Energy consumption, is fitted by a linear relation, from this it is possible to predict future consumption.

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Regression Degree Day Figure

Energy Consumed (GJ)

January

376

185.67

February

359

166.51

March

322

157.56

April

243

124.33

May

162

98.22

June

83

72.6

July

44

56.65

August

48

54.89

September

90

71.66

October

178

103.49

November

275

140.78

December

343

171.62

Month

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150

(kWh)

Energy Consumed

Regression Method

100

50

0 0

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100

200 Degree Day

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300

400

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NPI Method The Normalised Performance Indicator (NPI) comparing the building s energy consumption with similar type buildings.

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Calculating the NPI ! ! ! ! ! ! ! !

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Convert Energy Units to KWh Find the Energy Used for Space Heating Account for Weather Account for Exposure Add Non-Heating Energy Use Account for Hours of Use Factor Find Floor Area (Pool Area) (m2) Calculate the Normalised Performance Indicator (NPI).

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Calculating the NPI !  Step 1 Collate all energy use, Convert Energy Units to KWh 1 therm = 29.31 kWh Natural Gas 1 litre = 10.6 kWh Oil 1 tonne = 7600 kWh Coal

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Calculating the NPI !  Step 2 Find the Energy Used for Space Heating eg a sport centre with a swimming pool 65% of the energy is used in heating on average.

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Calculating the NPI !  Step 3 Account for Weather Weather factor = 2462 / annual degree days

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Calculating the NPI !  Step 4 Account for Exposure Factor = 1 for urban building = 1.1 for Sheltered buildings = 0.9 for Exposed buildings

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Calculating the NPI !  Step 5 Add Non Space heating energy

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Calculating the NPI !  Step 6 Multiply for hours of use Use factor = standard hours / actual hours in use

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Calculating the NPI !  Step 7 Calculate Floor area in square meters

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Calculating the NPI !  Step 8 Calculate NPI = corrected energy used / floor area

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Calculating the NPI !  Step 9 Compare NPI with tabulated values for similar buildings and hence find out in which range of performance does your building lie ?

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Comparisons of performance indicators !   Good - generally have good controls and energy management procedures, but further energy savings are often still possible. !   Fair - reasonable controls and energy management procedures, but significant energy savings should achievable. !   Poor - unnecessarily high consumption and urgent action should be taken to remedy the situation. Substantial energy savings should result from the introduction of energy efficiency measures. 05/04/2011

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Performance Yardsticks For Buildings Good

Fair

Poor

Pub

470

Sports centre with swimming Pool.

840

Theatre

900

Energy Efficiency Rating kWh/m2 per year

Type of Facility

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Savings 1.  By altering the physical construction of a building to reduce its heat loss eg double glazing, cavity insulation and loft insulation.

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Savings 2.  Replacing/upgrading the equipment and controls to make it more efficient. Time switches, occupancy switches, and Thermostat controls. 05/04/2011

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Savings 3.  Shop around for the cheapest tariff.

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Savings 4.  Continuous monitoring of Energy consumption.

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Savings 5. Using combined heat and power (CHP) plant to provide electricity and space heating/hot water.

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Case study

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Natural Gas (Therm)

Electricity (kWh)

January

1578

5325

February

1400

5220

March

1309

5400

April

1000

5225

May

750

5300

June

503

5425

July

355

5330

August

350

4990

September

500

5250

October

800

5300

November

1150

5400

December

1460

4880

11,155

63,045

Month

TOTALS

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Gas Data Month

Gas (Therm)

Gas (GJ)

Cost

% Cost

January

1578

166.5

760.44

14.1

February

1400

147.72

675

12.6

March

1309

138.12

631.32

11.7

April

1000

105.52

483

9

May

750

79.14

363

6.7

June

503

53.07

244.44

4.5

July

355

37.46

173.4

3.2

August

350

36.93

171

3.1

September

500

52.76

243

4.5

October

800

84.41

387

7.2

November

1150

121.34

555

10.3

December

1460

154.05

703.8

13.1

11,155

1177.03

5390.4

100

Totals

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Electricity Data Month

Elec. (kWh)

Cost

% Cost

January

5325

429.17

8.4

February

5220

420.77

8.3

March

5400

435.77

8.6

April

5225

42.17

8.3

May

5300

427.17

8.4

June

5425

437.17

8.6

July

5330

429.57

8.5

August

4990

402.37

7.9

September

5250

423.17

8.3

October

5300

427.17

8.4

November

5400

435.17

8.6

December

4880

393.57

7.7

Totals

63,045

5081.6

100

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Energy  C onsum ption

16%

N atural  G as Electricity

84%

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Energy  C ost

49%

51%

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N atural  G as Electricity

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Energy  C onsum ption 200 150 G as  (G J) Electricity  (G J)

100 50 0 J an Feb Mar Apr May J un

J ul Aug Sep O ct N ov Dec

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Energy  C ost 1000 800 600

G as  (£) Electricity  (£)

400 200 0 J an Feb Mar Apr May J un

J ul Aug Sep O ct N ov Dec

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Regression Degree Day Figure

Energy Consumed (GJ)

January

376

185.67

February

359

166.51

March

322

157.56

April

243

124.33

May

162

98.22

June

83

72.6

July

44

56.65

August

48

54.89

September

90

71.66

October

178

103.49

November

275

140.78

December

343

171.62

1403.99

1228.83

Month

Regression data

Totals

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The equation is given by : E = 0.365(DD) + 38

Energy Consumed (GJ)

Regression Equation Graph 150

 

100 50

  

 

 

 

 

   

 

   

0 0

100

200

300

400

Regression Degree Day Figure

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1. 

Convert your energy use into kWh units

Add your quarterly or monthly use over one year for each fuel and enter below Natural gas Electricity Total energy use for the year

{ Therms x 29.31 kWh x 1

= 11155 x 29.31 =326953 = 63045 =389998

kWh kWh kWh

A

kWh

B

kWh kWh kWh

C D E

2.Find your space heating energy use If you can identify any of the fuels above used only for space heating, enter the total energy use in kWh Add these to give total

0

If you cannot identify these then choose one of the following factors applied to the total energy used. For light industrial factory building Annual space heating energy Annual non-space heating energy

Space heating factor = 0.80 A x 0.80 = 389998x0.80 = 311998 B or C = 311998 A-D = 389998- 311998= 77999

3. Adjust the space heating energy to account for weather •  •  • 

Find the Degree Days for the energy data year = 2523 The weather correction factor = 2462/2523 = 0.976 Adjust the space heating energy to standard conditions

kWh

F G H

= D x G =311998x0.976=304455

4. Adjust the space heating energy to account for exposure • 

Obtain the exposure factor from this chapter to suit the location of the building = 1

• 

Adjusted space heating energy = H x J =

304455 x 1

=

304455

5. Find normalised annual energy use = E + K = 77999 + 304455 = 382454

J kWh

K

kWh

L

6. Correct for hours of use of building • 

Obtain standard hours of use = 2000

M

• 

Calculate the annual hours of use for your building -= 9x5x48

• 

Hours of use factor

• 

Annual energy use for standard hours

M / N =2000/2160

= =

2160 0.926

P x L = 0.926x 382454 = 354152

7. Find floor area = 25 x 25 = 625 m2 8. Find the Normalised Performance Indicator (NPI) = Q / R = 354152/ 625 = 566 9. Compare with yardstick - [ 180 to 240 kWh/m2 ] Excessive Energy consumption

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N P kWh

Q

m2

R

kWh/m2 POOR

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Calculation of Heat Losses width

height

D

W

W

depth

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Element

U-value W/m2K

Area m2

Temp. Difference (oC)

Heat loss W

Door

2

18

12.5

450

Windows

5.3

42

12.5

2782

Walls

2.3

360

12.5

10350

Roof

2.6

900

12.5

29250

Floor

0.26

900

12.5

2925

Fabric heat loss = TOTAL ( Doors, Windows, Walls, Roof & Floor) 45757 Ventilation Heat Loss

= 0.335 N V ΔT 15600 N=1.2 0

Heat gains from occupants Heat gains from lights 0 Heat gains from machines 0 Net heat transfer for the building 61357

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Energy Efficiency Measures

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Reduction of Fabric Losses

Wall Insulation

Area cost of liner board Cost

= £2952

= 360 m2 = £8.20/m = 360 * 8.2

Roriginal = 1/Uoriginal = 1/2.3 = 0.4348 Rinsulation = x /k = 0.025/0.04 = 0.625 Rnew = Roriginal + Rinsulation Unew AUwall original = 828 W/K AUwall new = 0.9436 * 360 ΔAUwall = ΔAU * 12.5 Saving = 6.104 * 65.32

= 0.4348 + 0.625 = 1.0598 = 1/1.0598 = 0.9436

Pay back period = C/F

= 2950/398.71

= 339.7 W/K = 6.104 kW = £3908.71/annum

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= 7.4 years 44

Roof Insulation Area Cost of Rockwool

= 900 m2 = £6.40 / m2

Rnew

= Rold + Ri = (1/2.6) + ( 0.1/0.04) = 2.5 + 0.3486 = 2.8846

Unew

= 1 / 2.8846 = 0.3467

AUroof original AUroof new ΔAU ΔQf Saving

= 900 x 2.6 = 900 x 0.3467 = 2340 - 312 = ΔAU * 12.5

= 25.35 * 65.32

Pay back period = C/F

= 2340 W/K = 312 W/K = 2028 W/K = 25.35 kW

= £1655.84/annum = 5760/1655.84

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= 3.48 years

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