Technology Options for Emission Mitigation in Indian Residential and Transport Sectors · 2020. 2....
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Technology Options for Emission Mitigation in Indian Residential and Transport Sectors Manmohan Kapshe, Satish Yawale Maulana Azad National Institute of Technology, Bhopal, India Aashish Deshpande National Institute of Technical Teachers' Training and Research, Bhopal, India 21 th AIM International Workshop, NIES, Tsukuba Japan 13-14 November 2015
Transcript of Technology Options for Emission Mitigation in Indian Residential and Transport Sectors · 2020. 2....
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Technology Options for Emission Mitigation in Indian Residential and Transport Sectors
Manmohan Kapshe, Satish YawaleMaulana Azad National Institute of Technology, Bhopal, India
Aashish DeshpandeNational Institute of Technical Teachers' Training and Research, Bhopal, India
21th AIM International Workshop, NIES, Tsukuba Japan13-14 November 2015
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Maulana Azad National Institute of Technology, Bhopal, India
Presentation Sequence
BackgroundResidential and Transport SectorsModelling the Select SectorsScenario DefinitionsResults and Findings
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Maulana Azad National Institute of Technology, Bhopal, India
Mega UAs/Cities• Three megacities in India as per Census 2011
with 10 million or more population• These are:
• Greater Mumbai UA 18.4 million• Delhi UA 16.3 million• Kolkata UA 14.1 million
53 Million Plus UAs/Cities in India with population of one million or more. In Census 2001 the number was 35.
Million Plus UAs/Cities India: 2011
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Maulana Azad National Institute of Technology, Bhopal, India
Age/Gender Profile
Population Projec tion for 2030
70 60 50 40 30 20 10 0 10 20 30 40 50 60 70
0-4 5-9
10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
Age
grou
p
Population (million)
Female Male
Population Projec tion for 2010
70 60 50 40 30 20 10 0 10 20 30 40 50 60 70
0-4 5-9
10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
Age
grou
p
Population (million)
Female Male
Population Projec tion for 2050
70 60 50 40 30 20 10 0 10 20 30 40 50 60 70
0-4 5-9
10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
Age
grou
p
Population (million)
Female Male
Population in 1970
50 40 30 20 10 0 10 20 30 40 50
0-4 5-9
10-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
Age
grou
p
Population (million)
Female Male
1970 2010
2030 2050
Chart4
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2030
50.892
-53.347
53.437
-56.008
55.626
-58.313
56.721
-59.519
56.669
-59.535
56.12
-58.992
55.553
-58.38
54.217
-56.918
50.822
-53.198
46.166
-47.892
39.48
-40.47
36.596
-36.914
31.629
-31.087
25.833
-24.531
19.578
-17.81
13.055
-11.142
7.612
-5.849
3.681
-2.589
1.363
-0.901
0.333
-0.215
0.05
-0.032
Medium Data
Female population (1000)
0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
1950271682180719859179981565413424115589962841969536089478239403152200610213191132850
1970419213519330779260722219719585177601580713492113799585795662474483305915746011793340
1990563675018343623414873739733009286962403120254176231558113294105197806543833741514501124192
20005882056640535454926642781404623638632086278102310319149161781356110595739145642431936258476
201058316571575685955959528714837341759394033537531037265762156917109134041004066393612155150510414
20305089253437556265672156669561205555354217508224616639480365963162925833195781305576123681136333350
2050465494780548413483625011452826548575569355332544525346551446468714035431381249321674791493742993160
male population (1000)
1950278342219420294188511677614566126501104495508034647255264188218717709142961183571
19704470038140336292855123543202931839716757146421241910373851867004841303617145921243340
1990596495376047120451914093336285317222651621515181191576313452106057693515130861404477108192
2000620176019257185528244623943998396133497230377250571981215984129719953677840122034780222425
2010613506036460171594235640351636445794203037641329732813522444167301228787315555292012133848011
2030533475600858313595195953558992583805691853198478924047036914310872453117810111425849258990121532
205048626498865053050511523705517257254580755760356484550205217646299381652803520731128036353233955278
1950
FemaleMale
0-427.17-27.83
5-921.81-22.19
10-1419.86-20.29
15-1918.00-18.85
20-2415.65-16.78
25-2913.42-14.57
30-3411.56-12.65
35-399.96-11.04
40-448.42-9.55
45-496.95-8.03
50-546.09-6.47
55-594.78-5.53
60-643.94-4.19
65-693.15-2.19
70-742.01-1.77
75-791.02-0.91
80-840.32-0.30
85-890.11-0.12
90-950.03-0.04
95-990.01-0.01
100+0.00-0.00
1950
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1950
1970
FemaleMale
0-441.92-44.70
5-935.19-38.14
10-1430.78-33.63
15-1926.07-28.55
20-2422.20-23.54
25-2919.59-20.29
30-3417.76-18.40
35-3915.81-16.76
40-4413.49-14.64
45-4911.38-12.42
50-549.59-10.37
55-597.96-8.52
60-646.25-6.70
65-694.48-4.84
70-743.06-3.04
75-791.57-1.71
80-840.60-0.59
85-890.18-0.12
90-950.03-0.03
95-990.00-0.00
100+0.000.00
1970
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1970
1990
FemaleMale
0-456.37-59.65
5-950.18-53.76
10-1443.62-47.12
15-1941.49-45.19
20-2437.40-40.93
25-2933.01-36.29
30-3428.70-31.72
35-3924.03-26.52
40-4420.25-21.52
45-4917.62-18.12
50-5415.58-15.76
55-5913.29-13.45
60-6410.52-10.61
65-697.81-7.69
70-745.44-5.15
75-793.37-3.09
80-841.51-1.40
85-890.50-0.48
90-950.12-0.11
95-990.02-0.02
100+0.00-0.00
1990
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1990
2000
Population (million)
FemaleMale
0-458.82-62.02
5-956.64-60.19
10-1453.545-57.19
15-1949.266-52.82
20-2442.781-46.24
25-2940.462-44.00
30-3436.386-39.61
35-3932.086-34.97
40-4427.81-30.38
45-4923.103-25.06
50-5419.149-19.81
55-5916.178-15.98
60-6413.561-12.97
65-6910.595-9.95
70-747.391-6.78
75-794.564-4.01
80-842.431-2.03
85-890.936-0.78
90-950.258-0.22
95-990.047-0.04
100+0.006-0.01
2000
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2000
2010
FemaleMale
0-458.316-61.35
5-957.157-60.364
10-1456.859-60.171
15-1955.959-59.423
20-2452.871-56.403
25-2948.373-51.636
30-3441.759-44.579
35-3939.403-42.03
40-4435.375-37.641
45-4931.037-32.973
50-5426.576-28.135
55-5921.569-22.444
60-6417.109-16.73
65-6913.404-12.287
70-7410.04-8.731
75-796.639-5.555
80-843.612-2.92
85-891.551-1.213
90-950.505-0.384
95-990.104-0.08
100+0.014-0.011
2010
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2010
2030
FemaleMale
0-450.89-53.347
5-953.44-56.008
10-1455.63-58.313
15-1956.72-59.519
20-2456.67-59.535
25-2956.12-58.992
30-3455.55-58.38
35-3954.22-56.918
40-4450.82-53.198
45-4946.17-47.892
50-5439.48-40.47
55-5936.60-36.914
60-6431.63-31.087
65-6925.83-24.531
70-7419.58-17.81
75-7913.06-11.142
80-847.61-5.849
85-893.68-2.589
90-951.36-0.901
95-990.33-0.215
100+0.05-0.032
2030
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2030
2050
FemaleMale
0-446.55-48.63
5-947.81-49.89
10-1448.41-50.53
15-1948.36-50.51
20-2450.11-52.37
25-2952.83-55.17
30-3454.86-57.25
35-3955.69-58.08
40-4455.33-57.60
45-4954.45-56.48
50-5453.47-55.02
55-5951.45-52.18
60-6446.87-46.30
65-6940.35-38.17
70-7431.38-28.04
75-7924.93-20.73
80-8416.75-12.80
85-899.15-6.35
90-953.74-2.34
95-990.99-0.55
100+0.16-0.08
2050
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2050
Chart3
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2010
58.316
-61.35
57.157
-60.364
56.859
-60.171
55.959
-59.423
52.871
-56.403
48.373
-51.636
41.759
-44.579
39.403
-42.03
35.375
-37.641
31.037
-32.973
26.576
-28.135
21.569
-22.444
17.109
-16.73
13.404
-12.287
10.04
-8.731
6.639
-5.555
3.612
-2.92
1.551
-1.213
0.505
-0.384
0.104
-0.08
0.014
-0.011
Medium Data
Female population (1000)
0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
1950271682180719859179981565413424115589962841969536089478239403152200610213191132850
1970419213519330779260722219719585177601580713492113799585795662474483305915746011793340
1990563675018343623414873739733009286962403120254176231558113294105197806543833741514501124192
20005882056640535454926642781404623638632086278102310319149161781356110595739145642431936258476
201058316571575685955959528714837341759394033537531037265762156917109134041004066393612155150510414
20305089253437556265672156669561205555354217508224616639480365963162925833195781305576123681136333350
2050465494780548413483625011452826548575569355332544525346551446468714035431381249321674791493742993160
male population (1000)
1950278342219420294188511677614566126501104495508034647255264188218717709142961183571
19704470038140336292855123543202931839716757146421241910373851867004841303617145921243340
1990596495376047120451914093336285317222651621515181191576313452106057693515130861404477108192
2000620176019257185528244623943998396133497230377250571981215984129719953677840122034780222425
2010613506036460171594235640351636445794203037641329732813522444167301228787315555292012133848011
2030533475600858313595195953558992583805691853198478924047036914310872453117810111425849258990121532
205048626498865053050511523705517257254580755760356484550205217646299381652803520731128036353233955278
1950
FemaleMale
0-427.17-27.83
5-921.81-22.19
10-1419.86-20.29
15-1918.00-18.85
20-2415.65-16.78
25-2913.42-14.57
30-3411.56-12.65
35-399.96-11.04
40-448.42-9.55
45-496.95-8.03
50-546.09-6.47
55-594.78-5.53
60-643.94-4.19
65-693.15-2.19
70-742.01-1.77
75-791.02-0.91
80-840.32-0.30
85-890.11-0.12
90-950.03-0.04
95-990.01-0.01
100+0.00-0.00
1950
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1950
1970
FemaleMale
0-441.92-44.70
5-935.19-38.14
10-1430.78-33.63
15-1926.07-28.55
20-2422.20-23.54
25-2919.59-20.29
30-3417.76-18.40
35-3915.81-16.76
40-4413.49-14.64
45-4911.38-12.42
50-549.59-10.37
55-597.96-8.52
60-646.25-6.70
65-694.48-4.84
70-743.06-3.04
75-791.57-1.71
80-840.60-0.59
85-890.18-0.12
90-950.03-0.03
95-990.00-0.00
100+0.000.00
1970
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1970
1990
FemaleMale
0-456.37-59.65
5-950.18-53.76
10-1443.62-47.12
15-1941.49-45.19
20-2437.40-40.93
25-2933.01-36.29
30-3428.70-31.72
35-3924.03-26.52
40-4420.25-21.52
45-4917.62-18.12
50-5415.58-15.76
55-5913.29-13.45
60-6410.52-10.61
65-697.81-7.69
70-745.44-5.15
75-793.37-3.09
80-841.51-1.40
85-890.50-0.48
90-950.12-0.11
95-990.02-0.02
100+0.00-0.00
1990
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1990
2000
Population (million)
FemaleMale
0-458.82-62.02
5-956.64-60.19
10-1453.545-57.19
15-1949.266-52.82
20-2442.781-46.24
25-2940.462-44.00
30-3436.386-39.61
35-3932.086-34.97
40-4427.81-30.38
45-4923.103-25.06
50-5419.149-19.81
55-5916.178-15.98
60-6413.561-12.97
65-6910.595-9.95
70-747.391-6.78
75-794.564-4.01
80-842.431-2.03
85-890.936-0.78
90-950.258-0.22
95-990.047-0.04
100+0.006-0.01
2000
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2000
2010
FemaleMale
0-458.316-61.35
5-957.157-60.364
10-1456.859-60.171
15-1955.959-59.423
20-2452.871-56.403
25-2948.373-51.636
30-3441.759-44.579
35-3939.403-42.03
40-4435.375-37.641
45-4931.037-32.973
50-5426.576-28.135
55-5921.569-22.444
60-6417.109-16.73
65-6913.404-12.287
70-7410.04-8.731
75-796.639-5.555
80-843.612-2.92
85-891.551-1.213
90-950.505-0.384
95-990.104-0.08
100+0.014-0.011
2010
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2010
2030
FemaleMale
0-450.89-53.347
5-953.44-56.008
10-1455.63-58.313
15-1956.72-59.519
20-2456.67-59.535
25-2956.12-58.992
30-3455.55-58.38
35-3954.22-56.918
40-4450.82-53.198
45-4946.17-47.892
50-5439.48-40.47
55-5936.60-36.914
60-6431.63-31.087
65-6925.83-24.531
70-7419.58-17.81
75-7913.06-11.142
80-847.61-5.849
85-893.68-2.589
90-951.36-0.901
95-990.33-0.215
100+0.05-0.032
2030
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2030
2050
FemaleMale
0-446.55-48.63
5-947.81-49.89
10-1448.41-50.53
15-1948.36-50.51
20-2450.11-52.37
25-2952.83-55.17
30-3454.86-57.25
35-3955.69-58.08
40-4455.33-57.60
45-4954.45-56.48
50-5453.47-55.02
55-5951.45-52.18
60-6446.87-46.30
65-6940.35-38.17
70-7431.38-28.04
75-7924.93-20.73
80-8416.75-12.80
85-899.15-6.35
90-953.74-2.34
95-990.99-0.55
100+0.16-0.08
2050
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2050
Chart1
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2050
46.549
-48.626
47.805
-49.886
48.413
-50.53
48.362
-50.511
50.114
-52.37
52.826
-55.172
54.857
-57.254
55.693
-58.075
55.332
-57.603
54.452
-56.484
53.465
-55.02
51.446
-52.176
46.871
-46.299
40.354
-38.165
31.381
-28.035
24.932
-20.731
16.747
-12.803
9.149
-6.353
3.742
-2.339
0.993
-0.552
0.16
-0.078
Medium Data
Female population (1000)
0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
1950271682180719859179981565413424115589962841969536089478239403152200610213191132850
1970419213519330779260722219719585177601580713492113799585795662474483305915746011793340
1990563675018343623414873739733009286962403120254176231558113294105197806543833741514501124192
20005882056640535454926642781404623638632086278102310319149161781356110595739145642431936258476
201058316571575685955959528714837341759394033537531037265762156917109134041004066393612155150510414
20305089253437556265672156669561205555354217508224616639480365963162925833195781305576123681136333350
2050465494780548413483625011452826548575569355332544525346551446468714035431381249321674791493742993160
male population (1000)
1950278342219420294188511677614566126501104495508034647255264188218717709142961183571
19704470038140336292855123543202931839716757146421241910373851867004841303617145921243340
1990596495376047120451914093336285317222651621515181191576313452106057693515130861404477108192
2000620176019257185528244623943998396133497230377250571981215984129719953677840122034780222425
2010613506036460171594235640351636445794203037641329732813522444167301228787315555292012133848011
2030533475600858313595195953558992583805691853198478924047036914310872453117810111425849258990121532
205048626498865053050511523705517257254580755760356484550205217646299381652803520731128036353233955278
1950
FemaleMale
0-427.17-27.83
5-921.81-22.19
10-1419.86-20.29
15-1918.00-18.85
20-2415.65-16.78
25-2913.42-14.57
30-3411.56-12.65
35-399.96-11.04
40-448.42-9.55
45-496.95-8.03
50-546.09-6.47
55-594.78-5.53
60-643.94-4.19
65-693.15-2.19
70-742.01-1.77
75-791.02-0.91
80-840.32-0.30
85-890.11-0.12
90-950.03-0.04
95-990.01-0.01
100+0.00-0.00
1950
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1950
1970
FemaleMale
0-441.92-44.70
5-935.19-38.14
10-1430.78-33.63
15-1926.07-28.55
20-2422.20-23.54
25-2919.59-20.29
30-3417.76-18.40
35-3915.81-16.76
40-4413.49-14.64
45-4911.38-12.42
50-549.59-10.37
55-597.96-8.52
60-646.25-6.70
65-694.48-4.84
70-743.06-3.04
75-791.57-1.71
80-840.60-0.59
85-890.18-0.12
90-950.03-0.03
95-990.00-0.00
100+0.000.00
1970
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1970
1990
FemaleMale
0-456.37-59.65
5-950.18-53.76
10-1443.62-47.12
15-1941.49-45.19
20-2437.40-40.93
25-2933.01-36.29
30-3428.70-31.72
35-3924.03-26.52
40-4420.25-21.52
45-4917.62-18.12
50-5415.58-15.76
55-5913.29-13.45
60-6410.52-10.61
65-697.81-7.69
70-745.44-5.15
75-793.37-3.09
80-841.51-1.40
85-890.50-0.48
90-950.12-0.11
95-990.02-0.02
100+0.00-0.00
1990
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1990
2000
Population (million)
FemaleMale
0-458.82-62.02
5-956.64-60.19
10-1453.545-57.19
15-1949.266-52.82
20-2442.781-46.24
25-2940.462-44.00
30-3436.386-39.61
35-3932.086-34.97
40-4427.81-30.38
45-4923.103-25.06
50-5419.149-19.81
55-5916.178-15.98
60-6413.561-12.97
65-6910.595-9.95
70-747.391-6.78
75-794.564-4.01
80-842.431-2.03
85-890.936-0.78
90-950.258-0.22
95-990.047-0.04
100+0.006-0.01
2000
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2000
2010
FemaleMale
0-458.316-61.35
5-957.157-60.364
10-1456.859-60.171
15-1955.959-59.423
20-2452.871-56.403
25-2948.373-51.636
30-3441.759-44.579
35-3939.403-42.03
40-4435.375-37.641
45-4931.037-32.973
50-5426.576-28.135
55-5921.569-22.444
60-6417.109-16.73
65-6913.404-12.287
70-7410.04-8.731
75-796.639-5.555
80-843.612-2.92
85-891.551-1.213
90-950.505-0.384
95-990.104-0.08
100+0.014-0.011
2010
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2010
2030
FemaleMale
0-450.89-53.347
5-953.44-56.008
10-1455.63-58.313
15-1956.72-59.519
20-2456.67-59.535
25-2956.12-58.992
30-3455.55-58.38
35-3954.22-56.918
40-4450.82-53.198
45-4946.17-47.892
50-5439.48-40.47
55-5936.60-36.914
60-6431.63-31.087
65-6925.83-24.531
70-7419.58-17.81
75-7913.06-11.142
80-847.61-5.849
85-893.68-2.589
90-951.36-0.901
95-990.33-0.215
100+0.05-0.032
2030
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2030
2050
FemaleMale
0-446.55-48.63
5-947.81-49.89
10-1448.41-50.53
15-1948.36-50.51
20-2450.11-52.37
25-2952.83-55.17
30-3454.86-57.25
35-3955.69-58.08
40-4455.33-57.60
45-4954.45-56.48
50-5453.47-55.02
55-5951.45-52.18
60-6446.87-46.30
65-6940.35-38.17
70-7431.38-28.04
75-7924.93-20.73
80-8416.75-12.80
85-899.15-6.35
90-953.74-2.34
95-990.99-0.55
100+0.16-0.08
2050
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2050
Chart6
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population in 1970
41.921
-44.7
35.193
-38.14
30.779
-33.629
26.072
-28.551
22.197
-23.543
19.585
-20.293
17.76
-18.397
15.807
-16.757
13.492
-14.642
11.379
-12.419
9.585
-10.373
7.956
-8.518
6.247
-6.7
4.483
-4.841
3.059
-3.036
1.574
-1.714
0.601
-0.592
0.179
-0.124
0.033
-0.033
0.004
-0.004
0
0
Medium Data
Female population (1000)
0-45-910-1415-1920-2425-2930-3435-3940-4445-4950-5455-5960-6465-6970-7475-7980-8485-8990-9595-99100+
1950271682180719859179981565413424115589962841969536089478239403152200610213191132850
1970419213519330779260722219719585177601580713492113799585795662474483305915746011793340
1990563675018343623414873739733009286962403120254176231558113294105197806543833741514501124192
20005882056640535454926642781404623638632086278102310319149161781356110595739145642431936258476
201058316571575685955959528714837341759394033537531037265762156917109134041004066393612155150510414
20305089253437556265672156669561205555354217508224616639480365963162925833195781305576123681136333350
2050465494780548413483625011452826548575569355332544525346551446468714035431381249321674791493742993160
male population (1000)
1950278342219420294188511677614566126501104495508034647255264188218717709142961183571
19704470038140336292855123543202931839716757146421241910373851867004841303617145921243340
1990596495376047120451914093336285317222651621515181191576313452106057693515130861404477108192
2000620176019257185528244623943998396133497230377250571981215984129719953677840122034780222425
2010613506036460171594235640351636445794203037641329732813522444167301228787315555292012133848011
2030533475600858313595195953558992583805691853198478924047036914310872453117810111425849258990121532
205048626498865053050511523705517257254580755760356484550205217646299381652803520731128036353233955278
1950
FemaleMale
0-427.17-27.83
5-921.81-22.19
10-1419.86-20.29
15-1918.00-18.85
20-2415.65-16.78
25-2913.42-14.57
30-3411.56-12.65
35-399.96-11.04
40-448.42-9.55
45-496.95-8.03
50-546.09-6.47
55-594.78-5.53
60-643.94-4.19
65-693.15-2.19
70-742.01-1.77
75-791.02-0.91
80-840.32-0.30
85-890.11-0.12
90-950.03-0.04
95-990.01-0.01
100+0.00-0.00
1950
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1950
1970
FemaleMale
0-441.92-44.70
5-935.19-38.14
10-1430.78-33.63
15-1926.07-28.55
20-2422.20-23.54
25-2919.59-20.29
30-3417.76-18.40
35-3915.81-16.76
40-4413.49-14.64
45-4911.38-12.42
50-549.59-10.37
55-597.96-8.52
60-646.25-6.70
65-694.48-4.84
70-743.06-3.04
75-791.57-1.71
80-840.60-0.59
85-890.18-0.12
90-950.03-0.03
95-990.00-0.00
100+0.000.00
1970
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population in 1970
1990
FemaleMale
0-456.37-59.65
5-950.18-53.76
10-1443.62-47.12
15-1941.49-45.19
20-2437.40-40.93
25-2933.01-36.29
30-3428.70-31.72
35-3924.03-26.52
40-4420.25-21.52
45-4917.62-18.12
50-5415.58-15.76
55-5913.29-13.45
60-6410.52-10.61
65-697.81-7.69
70-745.44-5.15
75-793.37-3.09
80-841.51-1.40
85-890.50-0.48
90-950.12-0.11
95-990.02-0.02
100+0.00-0.00
1990
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 1990
2000
Population (million)
FemaleMale
0-458.82-62.02
5-956.64-60.19
10-1453.545-57.19
15-1949.266-52.82
20-2442.781-46.24
25-2940.462-44.00
30-3436.386-39.61
35-3932.086-34.97
40-4427.81-30.38
45-4923.103-25.06
50-5419.149-19.81
55-5916.178-15.98
60-6413.561-12.97
65-6910.595-9.95
70-747.391-6.78
75-794.564-4.01
80-842.431-2.03
85-890.936-0.78
90-950.258-0.22
95-990.047-0.04
100+0.006-0.01
2000
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2000
2010
FemaleMale
0-458.316-61.35
5-957.157-60.364
10-1456.859-60.171
15-1955.959-59.423
20-2452.871-56.403
25-2948.373-51.636
30-3441.759-44.579
35-3939.403-42.03
40-4435.375-37.641
45-4931.037-32.973
50-5426.576-28.135
55-5921.569-22.444
60-6417.109-16.73
65-6913.404-12.287
70-7410.04-8.731
75-796.639-5.555
80-843.612-2.92
85-891.551-1.213
90-950.505-0.384
95-990.104-0.08
100+0.014-0.011
2010
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2010
2030
FemaleMale
0-450.89-53.347
5-953.44-56.008
10-1455.63-58.313
15-1956.72-59.519
20-2456.67-59.535
25-2956.12-58.992
30-3455.55-58.38
35-3954.22-56.918
40-4450.82-53.198
45-4946.17-47.892
50-5439.48-40.47
55-5936.60-36.914
60-6431.63-31.087
65-6925.83-24.531
70-7419.58-17.81
75-7913.06-11.142
80-847.61-5.849
85-893.68-2.589
90-951.36-0.901
95-990.33-0.215
100+0.05-0.032
2030
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2030
2050
FemaleMale
0-446.55-48.63
5-947.81-49.89
10-1448.41-50.53
15-1948.36-50.51
20-2450.11-52.37
25-2952.83-55.17
30-3454.86-57.25
35-3955.69-58.08
40-4455.33-57.60
45-4954.45-56.48
50-5453.47-55.02
55-5951.45-52.18
60-6446.87-46.30
65-6940.35-38.17
70-7431.38-28.04
75-7924.93-20.73
80-8416.75-12.80
85-899.15-6.35
90-953.74-2.34
95-990.99-0.55
100+0.16-0.08
2050
0-40-4
5-95-9
10-1410-14
15-1915-19
20-2420-24
25-2925-29
30-3430-34
35-3935-39
40-4440-44
45-4945-49
50-5450-54
55-5955-59
60-6460-64
65-6965-69
70-7470-74
75-7975-79
80-8480-84
85-8985-89
90-9590-95
95-9995-99
100+100+
Female
Male
Female
Male
Age group
Population (million)
Population Projection for 2050
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Maulana Azad National Institute of Technology, Bhopal, India
Demographic trends and projections
Share of Urban population
Source: Mckinsey 2010Growth of large cities in India
Source: Census 2001
Million-plus Cities and Urban Agglomerations
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Maulana Azad National Institute of Technology, Bhopal, India
Source: 1. IEA Statistics 2. Energy statistics 2013
India’s commercial energy consumption
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Maulana Azad National Institute of Technology, Bhopal, India
Source: MoEF 2010
GHG Emissions
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Maulana Azad National Institute of Technology, Bhopal, India
Since 1981, the population of Bhopalhas multiplied about 2.5 times andnumber of registered vehicles hasincreased 85 times. Of the 0.79 millionregistered vehicles in 2011, 92% are carsand two wheelers which accounts for28% of modal share.Population growth (lakh nos)
Vehicular growth(lakh nos)
Population v/s Vehicle Growth
Chart1
1981
2011
Population
6.71
17.96
Sheet1
Population
19816.71
201117.96
To resize chart data range, drag lower right corner of range.
Chart1
1981
2011
Population
0.1
7.9
Sheet1
Population
19810.1
20117.9
To resize chart data range, drag lower right corner of range.
Chart1
Walk
Two Wheelers
Car
Bus
Others
Sales
43
25
3
23
5
Sheet1
Sales
Walk43
Two Wheelers25
Car3
Bus23
Others5
To resize chart data range, drag lower right corner of range.
Chart1
Cars
Two wheelers
Others
Sales
12
80
8
Sheet1
Sales
Cars12
Two wheelers80
Others8
To resize chart data range, drag lower right corner of range.
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Maulana Azad National Institute of Technology, Bhopal, India
1. Rapid Growth of Travel Demand
2. Insufficient Transport Infrastructure
Consequences……• Congestion• Growth in number of
vehicles• Limitation to road
expansion• Pollution• Accidents• Public Transport
Deterioration• Declining reliance on
NMT
Travel Demand• Trip rate (per capita trip)• Size of the population• Per capita income• Trip length• City size and urban sprawl
Transport Sector Issues
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Maulana Azad National Institute of Technology, Bhopal, India
Income and energy in Residential Sector
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Maulana Azad National Institute of Technology, Bhopal, India
Residential and Transport Characteristics1. Technology shift is swift
2. Population increase3. Energy demand increasing
4. Emission reduction potential
5. Co benefits 0200
400
600
800
1000
1200
1400
1600
1800
POPU
LATI
ON
IN m
illio
n
POPULATION OF INDIA ACTUAL AND PROJECTED
Census(1952-2011)
Census projection(2011-2026)
UNPDHIGH(2000-2036)
PFI(2000-2036)
UN population
UNPD: United nations population DivisionPFI: Population foundation of India
Short Life span of technologyRapid advancement of new technology
Introduction of efficient technologyMultiple fuel options
Passenger and freight kilometerHouseholdFamily sizeIncome levelHousehold Appliance …..
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Maulana Azad National Institute of Technology, Bhopal, India
Some Important Questions
1. What drives energy demand and technologychoices in Indian residential and transport sector?
2. What has been the technology profile andresulting energy and emission in these sectors?
3. How energy and emission trajectory is likely tochange in future under different scenarios?
4. What is the role of clean/renewable energytechnology in bringing out this change?
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Maulana Azad National Institute of Technology, Bhopal, India
Residential and Transport Energy Scenario• India has experienced many changes in energy
consumption pattern in both residential and transport sector. This is because of following factors:– Population growth – Increase in economy and development
• Electricity demand in the Indian household sector has also been growing at a very rapid rate over the last decades
• There is a large variation in energy consumption across different sections of households like urban/rural, low/high income group
• As the income of the people increases demand for personalized modes of transport is expected to increase more rapidly
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Maulana Azad National Institute of Technology, Bhopal, India
Associated Problems and Co-benefits
• Local pollution is one of the serious problems faced by the people in the country.
• Rapid population growth, industrialization and urbanization in country are adversely affecting the environment as
• India’s two third of the population resides in rural areas and fuelwood and kerosene is the main fuel for cooking and lighting, both cause harm to the women cooking food in houses.
• Due to increase in the number of vehicle, traffic congestion is a serious problem in most of the cities in India.
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Maulana Azad National Institute of Technology, Bhopal, India
Technology
Climate change& Emissions
Local & Global Environment
Concerns
Technology options
Energy Type
Energy Mix
Emission mitigation
Outcomes
Socio-economic DevelopmentSectoral Development Energy
Emission
Mitigation
efforts
ENERGY
ENVIRONMENTECONOMY
SOCIETY
PopulationLife style change
UrbanizationIncome
Analytical Tool
Model
Drivers
Analysis Framework
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Maulana Azad National Institute of Technology, Bhopal, India
Modeling Framework
Energy System Optimization
(AIM/ENDUSE)
End use services
Industry Transport Agriculture Residential Commercial
Passenger travel
Freight Travel
Cooking Lighting
Demand projection
OutcomesTechnology mixEmissionSectoral energy consumption
Cooling Heating
Other Electric end use
Technology Share
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Maulana Azad National Institute of Technology, Bhopal, India
Diesel train
Electric Train
Air craft
Ship
Animal Cart
Battery operated two wheeler
Battery operated four wheeler
Two Wheeler
Three Wheeler
Four Wheeler
Bus
HCV
LCV
Gasoline
Heavy Oil
Diesel
CNG
Electricity
Coal
ATF
Animal power
Solar
Bio-Diesel
Steam Train
Road Passenger kms
Road Tons kms
RailPassenger kms
Rail Tons kms
AirPassenger kms
WaterTons kms
WaterPassenger kms
Satish Yawale 093113201
Reference Energy Systems
-
Maulana Azad National Institute of Technology, Bhopal, India
Electricity
Water Heating
Petromax lanternHurricane lantern
Wick lantern
Solar Lantern
LED Lighting
CFL Light
Tube light
Incandescent Lamp
Lighting
LPG
Coal
Fuel wood
Dung
Crop residue
Charcoal
Solar
LPG StoveCharcoal stove
Coal StoveFuel wood Stove
Crop residue stove
Kerosene Stove
Electric stoveMicrowave oven
OTG StoveGas Oven
Solar CookerSolar Concentrator
Cooking
Solar Water heater
Immersion heater
AppliancesFan, Cooler, A/C
RefrigeratorTV
Computer/LaptopsMusic players
Washing MachineHot Iron
Other electrical appliance
Space Cooling/HeatingRefrigeration
EntertainmentWashing
Other end use
Kerosene
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Maulana Azad National Institute of Technology, Bhopal, India
Scenario Description
• Business as Usual: – BaU scenario for future emission projections assumes
continuation with present trend. • Constraint on Carbon:
– Different level of CO2 emission reduction.• Taxes on Carbon:
– Energy and emission taxes are applied with assumption to shift towards efficient and cleaner technology
• Renewable Energy Technology:– Energy and emission taxes along with subsidy on
renewable energy technology.
-
Maulana Azad National Institute of Technology, Bhopal, India
Primary Energy and CO2 Emission
Results from ongoing study. Please do not quote.
-
Maulana Azad National Institute of Technology, Bhopal, India
Energy and Emission Residential Sector
Results from ongoing study. Please do not quote.
-
Maulana Azad National Institute of Technology, Bhopal, India
Energy and Emission in Transport Sector
Results from ongoing study. Please do not quote.
-
Maulana Azad National Institute of Technology, Bhopal, India
Technology options in Residential Cooking
Technology options in Residential Lighting
Results from ongoing study. Please do not quote.
-
Maulana Azad National Institute of Technology, Bhopal, India
Technology options in Passenger Transportation
Technology options in Freight Transportation
Results from ongoing study. Please do not quote.
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Maulana Azad National Institute of Technology, Bhopal, India
Scenario wise Energy Consumption
Future Energy Consumption in Transport Sector
Future Energy Consumption in Residential sector
0.0
2.8
5.6
8.4
11.2
14.0
2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Tran
spor
t Sec
tor
Ene
rgy
Con
sum
ptio
n
YearsBaU_Transport CoC_Transport TCoC_Transport RET_Transport
Index Year 2000 = 1
0.0
0.7
1.4
2.1
2.8
3.5
2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Res
iden
tial S
ecto
r E
nerg
y C
onsu
mpt
ion
Years
BaU_Residential CoC_Residential TCoC_Residential RET_Residential
Index Year 2000 = 1
Results from ongoing study. Please do not quote.
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Maulana Azad National Institute of Technology, Bhopal, India
Scenario wise CO2 Emission Future Emission
in Transport Sector
Future Emission in Residential Sector
0.0
3.0
6.0
9.0
12.0
15.0
2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Tran
spor
t Sec
tor
CO
2E
mis
sion
Years
BaU_Transport CoC_Transport TCoC_Transport RET_Transport
Index Year 2000 = 1
0.0
0.5
1.0
1.5
2.0
2.5
2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Res
iden
tial S
ecto
r C
O2
Em
issi
on
YearsBaU_Residential CoC_Residential TCoC_Residential RET_Residential
Index Year 2000 = 1
Results from ongoing study. Please do not quote.
-
Maulana Azad National Institute of Technology, Bhopal, India
Energy: Conventional fuels: bio-mass, wood, charcoal, cow dung reduce Commercial fuels : electricity, natural gas, renewables, etc. increase Residential Sector: LPG and Electricity - Main source of energy, Kerosene &
Coal - Decline its share by 2030 & 2020. Solar Energy - increases withsubsidy
Transport Sector: Diesel and gasoline - increase in BaU, Decline slightly inRET. Decrease in these fuels is possible with the use of bio-diesel andpromotion of cycling and walking.
Emission: Over the analysis period the CO2 emission from residential and transport
sector of India increases by 2.5 fold and 8 fold respectively in BaU.. Advances in technologies and upcoming renewable options can bring down
the CO2 emission by 40% in year 2050. In constraint scenarios, transport sector has higher potential to mitigate
emission whereas in RET scenario, residential sector takes the prominentposition.
Technology choices:Residential Sector: CFL, LED, Solar water heater, 3-5 star rating appliancesTransport sector: Walking, cycling, bio-diesel, public transport
Major Findings
-
Maulana Azad National Institute of Technology, Bhopal, India
Workshop on “Climate Change Scenario Development for Policy Analysis” Under TCS Colombo Plan, Ministry of External Affairs, Government of India at NITTTR, Bhopal
January 05-16, 2015
Participants from Myanmar, Lao PDR, Sri Lanka presenting regional analysis.
-
Maulana Azad National Institute of Technology, Bhopal, India
Forthcoming Training Workshops on Climate Change Issues and Challenges
January 04-08, 2016 Modeling for Energy & Emission Policy Design(Using AIM EndUse & ExSS)
February 15-19, 2016 Sustainable Development Practices forTechnical Institutions (LCS Concepts)
December 06-18, 2015 Climate Change, Scenario Development forPolicy Analysis (Using AIM ExSS for LCS)
For details contact:Prof. Aashish Deshpande, Department of Management,NATIONAL INSTITUTE OF TECHNICAL TEACHERS’ TRAINING & RESEARCH, BHOPAL, INDIA
-
Thank You….
mailto:[email protected]:[email protected]
Technology Options for Emission Mitigation in �Indian Residential and Transport SectorsPresentation SequenceMillion Plus UAs/Cities India: 2011Age/Gender ProfileDemographic trends and projectionsIndia’s commercial energy consumptionGHG EmissionsPopulation v/s Vehicle GrowthTransport Sector IssuesIncome and energy in Residential SectorResidential and Transport CharacteristicsSome Important QuestionsResidential and Transport Energy ScenarioAssociated Problems and Co-benefitsAnalysis FrameworkModeling FrameworkReference Energy Systems スライド番号 18Scenario DescriptionPrimary Energy and CO2 EmissionEnergy and Emission Residential SectorEnergy and Emission in Transport Sectorスライド番号 23スライド番号 24Scenario wise Energy ConsumptionScenario wise CO2 Emission Major FindingsWorkshop on “Climate Change Scenario Development for Policy Analysis” Under TCS Colombo Plan, Ministry of External Affairs, Government of India at NITTTR, BhopalForthcoming Training Workshops on Climate Change Issues and ChallengesThank You….��[email protected]��[email protected]��
