Name: Pakistan – Biomass Mapping
Creator: World Bank Group
Published: 2016-01-01

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Sugar and rice mill scenario analysis results. Sugar mill scenario: There is a potential for implementing cogeneration plant using bagasse generated at the sugar mills. For each sugar mill, the power capacity of the cogeneration plant was defined based on the NEPRA requirement of annual capacity factor (ACF) of a newly-established cogeneration plant running on bagasse produced by the sugar mill. The ACF approved by NEPRA in 2013 was 45% based on 180 days of operation (120 days milling season and 60 days off-milling season) and a plant availability factor of 92%. The conversion technology was assumed to be a high pressure cogeneration system including a steam boiler and an extraction-condensing steam turbine. The analysis results contain the sourcing area (km²/GWh) for the additional biomass feedstock needed for operating the cogeneration plant in power-only mode for additional 5 months of the off-milling season when bagasse is not available. The sourcing area matches the best-case scenario of being able to source all of the available technical potential of the crop harvesting residues suitable for the cogeneration plant from the immediate neighborhood of the mill. Therefore, it helps ranking the sugar mills in terms of the ease of sourcing the additional feedstock. Rice mill scenario: In this analysis, the power plant potential was estimated based on an assumption that the power plant will be run with a fuel mixture of rice husk and locally sourced crop harvesting residues. The minimum fixed power plant capacity of 3 MW is assumed for all 54 surveyed rice mills. The additional biomass feedstock was calculated in order to assure an annual capacity factor of 85% for all power plants. As for the sugar mills, the analysis results for each rice mill contain the sourcing area (km²/GWh) for the additional biomass feedstock needed to operate the power plant and the sourcing area matches the best-case sourcing scenario. You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass Industrial, 2016, https://energydata.info/dataset/pakistan-biomass-industrial" 

Pakistan - Biomass Industrial

This is the Biomass Atlas for Pakistan dataset. Each of the sub-folders has a metadata folder containing the dataset component descriptions in text files. 

Pakistan - Biomass Atlas

Pakistan Biomass FieldSurvey sourced from ESMAP World Bank. You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass Field Survey, 2016, https://energydata.info/dataset/pakistan-biomass-fieldsurvey" 

Pakistan - Biomass Field Survey

Crop residue information aggregated from the Biomass Atlas project field survey raw data. * Min minimum crop residue yield; based on minimum crop yield recorded in the field survey, and the minimum Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Max maximum crop residue yield; based on maximum crop yield recorded in the field survey, and the maximum Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Mean mean crop residue yield (theoretical potential); based on mean crop yield recorded in the field survey, and the mean Residue To Crop Ratio in the background data (see: industrial\Power_plant_model.xlsx in this dataset, sheet RCR) Std standard deviation of the mean crop residue yield in the survey data N number of observations for the crop in the survey data AR availability of the crop residue based on the current residue use recorded in the field survey (technical potential) ARS standard deviation of the availability of the crop residue based on the current residue use AW availability of the crop residue based on the current residue use recorded in the field survey and farmers' willingness to participate in a feedstock supply chain (technical potential) AWS standard deviation of the availability of the crop residue based on the current residue use recorded in the field survey and farmers' willingness to participate in a feedstock supply chain where denotes an abbreviation for a crop residue, as listed below. WheStrMin Wheat straw CotStaMin Cotton stalk RicStrMin Rice straw RicHusMin Rice husk MaiStaMin Maize stalk MaiCobMin Maize cob MaiHusMin Maize husk SugTraMin Sugarcane trash SugBagMin Bagasse Feedstock summary by country and by district, including sampled district confidence intervals for yearly feedstock amounts, t/yr You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass Feedstock Crop Yield, 2016, https://energydata.info/dataset/pakistan-biomass-feedstock-cropyield" 

Pakistan - Biomass Feedstock Crop Yield

The file is in a ERMapper ERS raster GIS data format. It can be opened with for example QGIS software (http://qgis.org) Coordinate reference system: WGS 84 / UTM zone 42N (EPSG:32642) Bands: 1 land use class Unit: categorical value indicating a land use class, value interpretations: 1 cotton-maize 2 cotton-other_crop 3 cotton-rice 4 cotton-sugarcane 5 cotton-wheat 6 maize-maize 7 maize-rice 8 maize-sugarcane 9 maize-wheat 10 other_crop-other_crop 11 rice-rice 12 rice-sugarcane 13 rice-wheat 14 sugarcane-sugarcane 15 sugarcane-wheat 16 wheat-wheat 17 bare area 18 low biomass 19 medium biomass 20 high biomass 21 road 22 urban 23 water The land use class values 1-16 indicate an agricultural field. The crop pairs indicate crops for the Kharif-Rabi yearly cropping seasons. Values 18-20 indicate natural vegetation and orchards. Further information: info@simosol.fi 

Pakistan - Biomass Land Use

Pakistan - Sugar Mills

Pakistan - Diary Farms

Pakistan - MSW

Pakistan - Rice Mills

Pakistan

South Asia

The GIS Biomass Atlas of Pakistan is the final output from the biomass resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Pakistan” [Project ID: P146140]. You can find more information about the project here: https://www.esmap.org/re_mapping_pakistan To visualize the geospatial data generated in this study, please access: https://irena.masdar.ac.ae/GIS/?map=2636 Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan Biomass GIS Atlas, 2016, https://energydata.info/dataset/pakistan-biomass-gis-atlas" 

Pakistan – Biomass Mapping

Metadata