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4th International Conference on “Advances in Energy Research’’
Department of Energy Science and Engineering
Indian Institute of Technology Bombay

Analysis of weather conditions of Indian cities with respect to
rating conditions for HVAC equipments

Pramod Kumar, Manoj Singh, Anant Joshi, Jyotirmay Mathur

Center for Energy & Environment
Malaviya National Institute of Technology Jaipur
Introduction
• Indian has five distinct climatic zones
with wide variance

• HVAC
ratings
have
direct
dependence on weather conditions.
• Presently HVAC systems in India are
rated as per AHRI standards.
•Outdoor Rating conditions based on
DBT (air cooled) & WBT(water cooled)
Introduction……..Contd.
• Rating condition should be country specific – recommendations by
ISO 19289 for rating of HVAC equipments
• European countries have separate standard (Eurovent 14511) even
with marginal difference with AHRI standards (550/590)
Chiller type

AHRI

Eurovent

Water cooled chiller

Condenser EWT:
O
29.4 C at 100%
O
23.9 C at 75%
O
18.3 C at 50%
O
18.3 C at 25%

Condenser EWT:
O
30 C at 100%
O
26 C at 75%
O
22 C at 50%
O
18 C at 25%

Air cooled chiller

Condenser EAT:
O
35 C at 100%
O
27 C at 75%
O
19 C at 50%
O
13 C at 25%

Condenser EAT:
O
35 C at 100%
O
30 C at 75%
O
25 C at 50%
O
20 C at 25%
3
Introduction …….. Contd.
• Oriental countries; China, Japan, Malaysia etc have their
own standards based on their climatic conditions.

• Chiller standards for Indian climatic conditions……… An
emergent need.

4
Objectives of the study
To check the suitability of prevailing rating condition (AHRI)
for HVAC equipments with respect to Indian climatic
conditions.

 Identification of a representative city(s) through statistical
analysis of weather data for different climatic zones.

5
Methodology
 Weather data analysis of

prominent cities : All climatic
zones.
 ISHARE weather data
considered in analysis.
 Identification of Representative
cities for each climatic zone.
- Through statistical analysis
- Criteria as per GOI classification
for cities.
- Metro/larger city considered.
6
Methods … Weather analysis
 Wide

Zones; Warm & humid
and composite covers more
number of large cities
-Additional representative
cities identified for such
zones

Hot & Dry

Composite

Warm & Humid

50

40

Max

30

DBT C

variance observed in
weather profiles within the
zones and in cities within
the same zone.

20

Min

10

0
Jan

Feb

Mar

Apr May

Jun

Jul

Aug

Sep

Oct

Nov Dec

Months

7
Analysis : Summary of weather condition in representative
cities
Type of
city

Annual
Max temp
(OC) DBT

Annual
Min temp
(OC) DBT

Annual
Mean temp
(OC) DBT

Mumbai

X

37.6

13.0

25.3

Chennai

X

43.4

18.6

31.0

Kolkata

X

39.8

9.4

24.6

Composite New Delhi

X

44.0

5.0

24.5

Hyderabad

X

41.7

11.6

26.6

Hot & Dry

Ahmedabad

Y

43.2

9.6

26.4

Moderate

Bangalore

X

37.1

13.4

25.2

Climatic
zone
Warm
& Humid

City name

X: 30% HRA
Y : 20% HRA
8
Analysis : Pattern of weather profile of representative
cities
in zone
50

Mumbai Kolkata Chennai Avg of all cities of zone

DBT C

40
30

Warm &
humid

20
10

50

New Delhi

 Hyderabad

Dec

Oct

Sep

Nov

Months

Aug

Jul

Jun

May

Apr

Mar

Feb

Jan

0

 Avg of all cities of zone

40

Composite

20
10

Months

Dec

Nov

Oct

Sep

Aug

Jul

Jun

May

Apr

Mar

Feb

0
Jan

DBT C

30

9
Analysis: Temperature frequency distribution
 Post identification detailed analysis of weather data of all
representative cities
− Temperature frequency distribution of DBT and WBT
for complete year.

− Percentage coverage of total hours in a year at
different temperature condition (DBT/WBT)

10
Analysis: Temperature frequency distribution of DBT
of representative cities
City

Coverage

33
34
84.36 88.77

DBT (OC)
35
36
37
91.99 93.97 95.58

38
96.87

39
40
97.79 98.52

New Delhi

% hours

32
80.4

Mumbai

% hours

92.05 96.68 98.82

99.54

99.92

99.99

99.99

99.99 99.99

Chennai

% hours

83.95 89.02 93.34

95.98

97.51

98.39

99.05

99.46 99.61

Hyderabad

% hours

87.55 90.13 92.23

94.38

96.35

97.69

98.93

99.43 99.78

Kolkata

% hours

88.8

92.32 95.13

96.91

98.34

99.33

99.82

99.97 99.99

Ahmedabad

% hours

78.37 82.75 86.14

88.77

91.35

93.46

95.19

96.76 97.82

Bangalore

% hours

96.59 98.18 99.12

99.76

99.94

99.99

99.99

99.99 99.99

Average

% hours

86.82 90.49 93.36

95.33

96.77

97.78

98.55

99.06 99.39

11
Analysis: Temperature frequency distribution of
WBT of representative cities
WBT (OC)
City

Coverage

25

26

27

28

29

New Delhi

% hours

76.04

84.21

92.99

98.28

99.62

Mumbai

% hours

64.35

84.10

96.66

99.65

99.98

Chennai

% hours

63.11

81.22

93.72

98.80

99.50

Hyderabad

% hours

98.92

99.82

99.93

99.99

99.99

Kolkata

% hours

55.39

68.03

82.05

92.44

97.31

Ahmedabad

% hours

71.61

85.06

94.38

99.70

99.97

Bangalore

% hours

99.92

99.97

99.99

99.99

99.99

Average

% hours

71.57

83.74

93.29

98.14

99.28

12
Summary: Observations
 Coverage of percentage of total hrs/yr at particular temperature
condition different for each representative cities.
on an average basis AHRI rating conditions for air cooled chiller
covers only 95.33% of total hrs in a year.

 With urban heat island (UHI) consideration of 3OC, the AHRI
condition would come to 32OC cover only 86.82% of total hrs in a
year.

13
Conclusion
 Analytical

status underline the variance of temperature condition
compared to existing rating condition for chillers (Air cooled).
WBT rating condition for water cooled chiller is suitable as per
Indian climatic conditions.
 Any further increment of temperature would increase coverage
of hrs.
 There is need to revise the prevailing rating condition according
the Indian climatic condition

14
Future work
 Extending

the study for unitary air condition system/other
HVAC equipments

 Revision of the part load coefficients

15
Reference
[1] J. Hansen, R. Ruedy, M. Sato, and K. Lo (2010), Global Surface Temperature Change, Reviews of
Geophysics, 48, RG4004 / 2010
[2] Mehmet Azmi Aktacir ,Orhan Bu yu kalaca , Husamettin Bulut , Tuncay Yılmaz, (2008) Influence of different outdoor
design conditions on design cooling load and design capacities of air conditioning equipments, Energy Conversion and
Management 49, 1766–1773
[3] Danny H.W.Li, S.L. Wong, Joseph C. Lam (2003), Climatic effect on cooling load determination in subtropical
regions, Energy Conservation and Management 44, 1831-1843.
[4] Tianzhen Hong, Wen-Kuei Chang, Hung-Wen Lin (2013), A fresh look at weather impact on peak electricity demand
and energy use of buildings using 30-year actual weather data, Applied Energy 111, 333–350.
[5] Y.H. Yau, H.L. Pean, (2011) The climate change impact on air conditioner system and reliability in Malaysia—A
review, Renewable and Sustainable Energy Reviews 15, 4939– 4949.
[6] ANSI/AHRI Standard 550/590 (I-P)-2011, Standard for Performance Rating Of water-Chilling and Heat Pump WaterHeating Packages Using the Vapor Compression Cycle.
[7] European Standard EN 14511-1(2011), Air conditioners, liquid chilling packages and heat pumps with electrically
driven compressors for space heating and cooling.
[8] International Standard ISO/TC 86/SCG/WG9 (2006) Liquid-chilling packages using the vapour compression cycle.
[9] Energy Conservation Building Code User Guide for India (2011), Bureau of Energy Efficiency, ISBN No 978-81-9090253-3.
[10] Department of Personnel and training, Ministry of personnel and public grievance and pensions, Government of
India - http://www.irfc-nausena.nic.in/irfc/dpa/HRA_CCA_RULE.pdf
[11] Suryadevara S. Devi, (2006) Urban heat islands and environmental impact, American Metrological Society, 104770
[12] Manju Mohan, Yukihiro Kikegawa, B. R. Gurjar, Shweta Bhati, Narendra Reddy Kolli, (2012), Assessment of urban
heat island effect for different land use–land cover from micrometeorological measurements and remote sensing data
for megacity Delhi, Theoretical and Applied Climatology 112:647–658.
16
17

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297 manoj singh

  • 1. 4th International Conference on “Advances in Energy Research’’ Department of Energy Science and Engineering Indian Institute of Technology Bombay Analysis of weather conditions of Indian cities with respect to rating conditions for HVAC equipments Pramod Kumar, Manoj Singh, Anant Joshi, Jyotirmay Mathur Center for Energy & Environment Malaviya National Institute of Technology Jaipur
  • 2. Introduction • Indian has five distinct climatic zones with wide variance • HVAC ratings have direct dependence on weather conditions. • Presently HVAC systems in India are rated as per AHRI standards. •Outdoor Rating conditions based on DBT (air cooled) & WBT(water cooled)
  • 3. Introduction……..Contd. • Rating condition should be country specific – recommendations by ISO 19289 for rating of HVAC equipments • European countries have separate standard (Eurovent 14511) even with marginal difference with AHRI standards (550/590) Chiller type AHRI Eurovent Water cooled chiller Condenser EWT: O 29.4 C at 100% O 23.9 C at 75% O 18.3 C at 50% O 18.3 C at 25% Condenser EWT: O 30 C at 100% O 26 C at 75% O 22 C at 50% O 18 C at 25% Air cooled chiller Condenser EAT: O 35 C at 100% O 27 C at 75% O 19 C at 50% O 13 C at 25% Condenser EAT: O 35 C at 100% O 30 C at 75% O 25 C at 50% O 20 C at 25% 3
  • 4. Introduction …….. Contd. • Oriental countries; China, Japan, Malaysia etc have their own standards based on their climatic conditions. • Chiller standards for Indian climatic conditions……… An emergent need. 4
  • 5. Objectives of the study To check the suitability of prevailing rating condition (AHRI) for HVAC equipments with respect to Indian climatic conditions.  Identification of a representative city(s) through statistical analysis of weather data for different climatic zones. 5
  • 6. Methodology  Weather data analysis of prominent cities : All climatic zones.  ISHARE weather data considered in analysis.  Identification of Representative cities for each climatic zone. - Through statistical analysis - Criteria as per GOI classification for cities. - Metro/larger city considered. 6
  • 7. Methods … Weather analysis  Wide Zones; Warm & humid and composite covers more number of large cities -Additional representative cities identified for such zones Hot & Dry Composite Warm & Humid 50 40 Max 30 DBT C variance observed in weather profiles within the zones and in cities within the same zone. 20 Min 10 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Months 7
  • 8. Analysis : Summary of weather condition in representative cities Type of city Annual Max temp (OC) DBT Annual Min temp (OC) DBT Annual Mean temp (OC) DBT Mumbai X 37.6 13.0 25.3 Chennai X 43.4 18.6 31.0 Kolkata X 39.8 9.4 24.6 Composite New Delhi X 44.0 5.0 24.5 Hyderabad X 41.7 11.6 26.6 Hot & Dry Ahmedabad Y 43.2 9.6 26.4 Moderate Bangalore X 37.1 13.4 25.2 Climatic zone Warm & Humid City name X: 30% HRA Y : 20% HRA 8
  • 9. Analysis : Pattern of weather profile of representative cities in zone 50 Mumbai Kolkata Chennai Avg of all cities of zone DBT C 40 30 Warm & humid 20 10 50 New Delhi  Hyderabad Dec Oct Sep Nov Months Aug Jul Jun May Apr Mar Feb Jan 0  Avg of all cities of zone 40 Composite 20 10 Months Dec Nov Oct Sep Aug Jul Jun May Apr Mar Feb 0 Jan DBT C 30 9
  • 10. Analysis: Temperature frequency distribution  Post identification detailed analysis of weather data of all representative cities − Temperature frequency distribution of DBT and WBT for complete year. − Percentage coverage of total hours in a year at different temperature condition (DBT/WBT) 10
  • 11. Analysis: Temperature frequency distribution of DBT of representative cities City Coverage 33 34 84.36 88.77 DBT (OC) 35 36 37 91.99 93.97 95.58 38 96.87 39 40 97.79 98.52 New Delhi % hours 32 80.4 Mumbai % hours 92.05 96.68 98.82 99.54 99.92 99.99 99.99 99.99 99.99 Chennai % hours 83.95 89.02 93.34 95.98 97.51 98.39 99.05 99.46 99.61 Hyderabad % hours 87.55 90.13 92.23 94.38 96.35 97.69 98.93 99.43 99.78 Kolkata % hours 88.8 92.32 95.13 96.91 98.34 99.33 99.82 99.97 99.99 Ahmedabad % hours 78.37 82.75 86.14 88.77 91.35 93.46 95.19 96.76 97.82 Bangalore % hours 96.59 98.18 99.12 99.76 99.94 99.99 99.99 99.99 99.99 Average % hours 86.82 90.49 93.36 95.33 96.77 97.78 98.55 99.06 99.39 11
  • 12. Analysis: Temperature frequency distribution of WBT of representative cities WBT (OC) City Coverage 25 26 27 28 29 New Delhi % hours 76.04 84.21 92.99 98.28 99.62 Mumbai % hours 64.35 84.10 96.66 99.65 99.98 Chennai % hours 63.11 81.22 93.72 98.80 99.50 Hyderabad % hours 98.92 99.82 99.93 99.99 99.99 Kolkata % hours 55.39 68.03 82.05 92.44 97.31 Ahmedabad % hours 71.61 85.06 94.38 99.70 99.97 Bangalore % hours 99.92 99.97 99.99 99.99 99.99 Average % hours 71.57 83.74 93.29 98.14 99.28 12
  • 13. Summary: Observations  Coverage of percentage of total hrs/yr at particular temperature condition different for each representative cities. on an average basis AHRI rating conditions for air cooled chiller covers only 95.33% of total hrs in a year.  With urban heat island (UHI) consideration of 3OC, the AHRI condition would come to 32OC cover only 86.82% of total hrs in a year. 13
  • 14. Conclusion  Analytical status underline the variance of temperature condition compared to existing rating condition for chillers (Air cooled). WBT rating condition for water cooled chiller is suitable as per Indian climatic conditions.  Any further increment of temperature would increase coverage of hrs.  There is need to revise the prevailing rating condition according the Indian climatic condition 14
  • 15. Future work  Extending the study for unitary air condition system/other HVAC equipments  Revision of the part load coefficients 15
  • 16. Reference [1] J. Hansen, R. Ruedy, M. Sato, and K. Lo (2010), Global Surface Temperature Change, Reviews of Geophysics, 48, RG4004 / 2010 [2] Mehmet Azmi Aktacir ,Orhan Bu yu kalaca , Husamettin Bulut , Tuncay Yılmaz, (2008) Influence of different outdoor design conditions on design cooling load and design capacities of air conditioning equipments, Energy Conversion and Management 49, 1766–1773 [3] Danny H.W.Li, S.L. Wong, Joseph C. Lam (2003), Climatic effect on cooling load determination in subtropical regions, Energy Conservation and Management 44, 1831-1843. [4] Tianzhen Hong, Wen-Kuei Chang, Hung-Wen Lin (2013), A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data, Applied Energy 111, 333–350. [5] Y.H. Yau, H.L. Pean, (2011) The climate change impact on air conditioner system and reliability in Malaysia—A review, Renewable and Sustainable Energy Reviews 15, 4939– 4949. [6] ANSI/AHRI Standard 550/590 (I-P)-2011, Standard for Performance Rating Of water-Chilling and Heat Pump WaterHeating Packages Using the Vapor Compression Cycle. [7] European Standard EN 14511-1(2011), Air conditioners, liquid chilling packages and heat pumps with electrically driven compressors for space heating and cooling. [8] International Standard ISO/TC 86/SCG/WG9 (2006) Liquid-chilling packages using the vapour compression cycle. [9] Energy Conservation Building Code User Guide for India (2011), Bureau of Energy Efficiency, ISBN No 978-81-9090253-3. [10] Department of Personnel and training, Ministry of personnel and public grievance and pensions, Government of India - http://www.irfc-nausena.nic.in/irfc/dpa/HRA_CCA_RULE.pdf [11] Suryadevara S. Devi, (2006) Urban heat islands and environmental impact, American Metrological Society, 104770 [12] Manju Mohan, Yukihiro Kikegawa, B. R. Gurjar, Shweta Bhati, Narendra Reddy Kolli, (2012), Assessment of urban heat island effect for different land use–land cover from micrometeorological measurements and remote sensing data for megacity Delhi, Theoretical and Applied Climatology 112:647–658. 16
  • 17. 17