2006 IPCC Softwre for Ntionl Greenhouse Gs Inventories: Appliction nd use for Indi Presenttion for NGGIP Side Event Bonn, June 8, 2013 Prof. Amit Grg (mitgrg@iimhd.ernet.in), INDIA
GHG Inventory Softwre Objectives for Indin inventory preprtion (by IIMA tem) Creting TACCC nd UNFCCC complint GHG inventory for ltest yers Converting ll previous yers inventories into consistent frmework through n pproprite softwre Softwre should be esy to become prt of ny proposed Ntionl Inventory Mngement System (NIMS) for Indi s nd when designed Historicl GHG inventory preprtion Indin government hs submitted INC nd SNC to UNFCCC Yers covered in vrious Indin officil GHG inventory reports 1994, 2000, 2005 nd 2007 IIMA tem hs been creting ntionl inventories for lst 15 yers (covering ll sectors except LULUCF) nd lso feeding into Indi s ntionl inventory process ppropritely Resons for using IPCC 2006 softwre (by us) We were not using ny inventory softwre before Hd n option for prepring our own softwre, but went for this softwre Of course IPCC 2006 softwre hs mny dvntges Other vilble softwres were not esily vilble, or we didn t look enough
Resons for Using 2006 IPCC Softwre It s the ltest vilble softwre for GHG inventory preprtion For preprtion of 2006 IPCC guidelines, mny LAs / CLAs from Indi, so more conversnt with guidelines of vrious sectors Mny Indin experts lso involved with 2006 IPCC softwre cretion process The softwre is simple to use It is ble to produce different reporting tbles s per requirement It helps cpturing missing sources for emission reporting It hs helped synchroniztion of ctivity dt cross sectors Energy nd Non-energy from Iron & Steel sector Biomss consumption for energy (CH 4 & N 2 O) nd its reporting in AFOLU sector Energy from wste sector Checking time series consistency of dt cross yers hs become esier It fits in the proposed Ntionl plns of Ntionl Inventory Mngement System (NIMS)
2006 IPCC Softwre Allows flexibility of CO 2 equivlent numbers i.e. given scenrios nd user defined Allows region selection nd incorportion of country specific numbers Selection of bse yer nd ddition of new yers vilble to see constncy of vlues Provides with proper structure for detiled estimtion of sectorl emissions It cptures TACCC Trnsprency: cretes dtbse with dt checks t different levels Completeness: by checking if ll the sources re covered Consistency: helps revise the older emission number for ltest methodology nd guidelines Helps nlyze uncertinty % in AD nd EF t different sectors nd gs levels from bse yer to current This ids in QA of existing dtbse
CO 2 Emission Estimtion, 2005 Source ctegories 1996 guidelines 2006 guidelines* Power 638 603 Industry 334 384 Cement 98 43 Iron & Steel 103 96 Fertilizer 24 22 Other Industries 109 223 Trnsport 155 111 Rod 143 93 Rilwy 6 6 Avition 5 10 Shipping 1 2 Residentil - 56 Industril Processes - 179 Other Sectors 102 146 TOTAL 1229 1478 * Reclculted numbers using softwre, lso some revised EF nd updted AD
CH 4 Emission Estimtion with two methodologies EFs obtined from ctul Detiled plnt type estimtion mde mesurements (NATCOM) used. Source ctegories bsed on the orgnic content in the 1995 2005 plnt 1996 2006 1996 Actul Averge sub-district 2006 MSW Meth Meth Meth level genertion popultion number Meth numbers obtined vilble from ltest All Energy* EF numbers refined t process 2.98 3.98 3.63 4.87 Used CPCB more report precise Biomss level like Flring (offshore / 1.67 2.81 1.8 3.01 Indi MSW specific disposl Col mining onshore), venting etc 0.67 0.38 0.79 distributed 0.96 s (NATCOM) emission Oil & nturl gs 0.64 0.79 1.04 Lndfill 0.90 / fctors Agriculture 14.67 12.19 14.82 Composting used 14.61/ No Indi Averge specific MSW wter genertion regime Actul tretment ge from wise Indi Field burning of griculture residue 0.181 0.10 0.182 numbers vilble 0.41 modified number from obtined other from detiled ltest specific studies Enteric studies fermenttion CPCB using report more precise 9.42 7.26 9.62 Emission 9.78 fctor Mnure mesurement mngement EF estimted bsed on Indi methods 0.99 0.92 1.00 estimted 0.97 bsed on Rice cultivtion specific secondry literture Indi specific EFs used bsed 4.08 4.01 4.02 DOC, DOCf, 3.86 Wste Used ctul wstewter on NATCOM study 1.20 2.24 1.63 Methne-Crbon 1.03 genertion nd methne Solid wste 0.75 1.82 0.96 rtio, etc emission numbers for some 0.88 chrcteristics of Wstewter smpled Indin industries of 0.45 0.42 0.67 0.15 wste TOTAL different products, covering 60% 18.85 18.41 20.08 20.51 * Sources such of the s biogs industril for energy sources hve lso been estimted, but found miniscule nd thus not reported here. Used wstewter generted dt from Clss II cities of Indi
N 2 O emissions estimtions (Gg) for 2005 Inclusion of some new New EF source ctegories tht (0.0065 16.8 were kg GgN dded 2 missed O N per due in kg our to N from synthetic previous fertilizer estimtes pplied New 11.5 Methodology: Gg dded due full to sectorl coverge Orgnic of N indirect pplied N 2 to O the soil Source Ctegory 1996 guidelines Synthetic fertilizer crop use residue 151 left Field burning insted of of erlier 0.01) griculture residue 20 Indirect soil emissions 30 Mnure mngement emissions 8 Fossil fuel combustion 19 Chnged ctivity dt for 2005 Industril processes 16 (ctul numbers vilble now Wste 9 ginst estimtes in previous Totl N 2 O Emissions 253 inventory) Source Ctegory 2006 guidelines Direct N 2 O emissions 159 Synthetic fertilizer use* 131 N from crop residue left* 17 Orgnic N pplied to the soil* 12 Indirect N 2 O emissions 34 Field burning of griculture residue 8 Biomss burning 26 Col consumption 13 Petroleum fuels consumption 3 Gs consumption 0.09 Industril processes 9 Wste 14 Totl N 2 O Emissions 267
Methodology for CH 4 (2006 IPCC Guidelines) Emission source Methodology (2006 IPCC) Remrks Enteric fermenttion Vol. 4, Ch. 10 Tier 2 methodology; use of country Mnure mngement specific EFs for livestock Rice cultivtion Vol. 4, Ch. 5 Indi specific mesured EF nd cultivtion period used Biomss burning (offsite) Vol. 2, Ch. 2 Col mining nd Vol. 2, Ch. 4 Indi specific sem level dt ws hndling vilble Oil nd nturl gs Vol. 2, Ch. 4 Actul crude consumption dt used systems for ctivity dt nd refined EF Agriculture crop Vol. 4, Ch. 2 Some mesured ctivity dt ws residue burning (onsite) extrpolted for country level with consulttion with experts Municipl solid wste Vol. 5, Ch. 3 Industry specific ctivity dt nd mesured EFs re used Wstewter disposl Domestic wstewter Vol. 5, Ch. 6 Industril wstewter Vol. 5, Ch. 3
Methodology for N 2 O (2006 IPCC Guidelines) Emission source IPCC 2006 Methodology Tier Eqution no. Direct N 2 O emissions Vol. 4 (AFOLU), Ch. 11 2 11.1 Synthetic fertilizer used Vol. 4 (AFOLU), Ch. 11 2 11.2 Orgnic nitrogen pplied to the soil Vol. 4 (AFOLU), Ch. 10, 11 2 11.2 to 11.4, 10.34 Nitrogen from crop residue left Vol. 4 (AFOLU), Ch. 11 2 11.6 Indirect N 2 O emission Vol. 4 (AFOLU), Ch. 11 2 11.9, 11.10 Agriculture residue burning (onsite) Vol. 4 (AFOLU), Ch. 2, 11 2 2.27 Biomss burning (offsite) Vol. 2 (ENERGY), Ch. 2 1 2.1 Fossil fuel combustion Vol. 2 (ENERGY), Ch. 2 1, 2/3* 2.1 Industril processes Vol. 3 (IPPU), Ch. 3 2, 3 3.5 Wste mngement Vol. 5 (WASTE), Ch. 4, 6 1, 2 4.2, 6.7, 6.8 *Trnsport nd residentil t tier 1 level, while industry nd power estimtions t tier 2/3 levels
Some Interntionl Comprisons for CH 4
N 2 O Emission Distribution Per cpit N 2 O emission distributions of Indi during 1990, 1995 nd 2005 s compred to some other countries in 2005 2.5 0.26 Indi 1990 0.88 Chin 2.12 UK 2.58 Germny 3.78 Austrli 4.38 Cnd 4.96 USA 2.0 1995 1.5 2005 1.0 0.5 0.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 N 2 O emissions (kg person -1 ) Indin N 2 O emissions re 0.26 kg cpit, which incresed nnully by 1.5% over 1995 2005
My Wish List Provide focused trining in IPCC 2006 softwre Common inventory softwres for IPCC 2006 nd UNFCCC tools If not possible, then t lest llow semless dt portbility More clrity on dtbse cretion nd mngement, especilly for time series cretion, linking tier 3 dt (e.g. lrge point sources) with ntionl totls, linking tier 3 modeling (e.g. trnsport sector) To fit into proposed Ntionl Systems for prties willing to dopt IPCC-2006 softwre, e.g. Indin plns of Ntionl Inventory Mngement System (NIMS) Linking GHG inventory softwre nd NAMA (Policies nd Mesures) modeling
Thnks