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Philippine Renewable Energy Resource Mapping from LiDAR Surveys (REMap)
Estimation of Biomass Available Potential From Crop Areas
Identified Using Landsat Images
4 October 2014 | GE Theater, UP Diliman | Speaker: Imee A. Saladaga
BIOMASSOutline
• Objectives of biomass component• General framework of RE Map for Biomass• Expected outputs• Theory• Mathematical model• Work flow• Initial results• Summary
BIOMASS
1. Develop algorithms and work flow for biomass energy resource assessment and site suitability analysis
2. Evaluate biomass resource available in the Philippines with the use of LIDAR data
3. Perform a site suitability analysis for biomass resource extraction and site location
4. Generate biomass resource and site potential maps
Objectives for Biomass Component
BIOMASSFramework of Biomass Mapping
BIOMASS
Expected Outputs of Biomass
Biomass Theoretical Resource Map (ton)
Expected Outputs of Biomass
Biomass Available Resource Map (MJ)
BIOMASS
Site Suitability Map
Expected Outputs of Biomass
Potential Site Map for Biomass Development
Expected Outputs of Biomass
BIOMASS
Work flow and algorithms for biomass resource assessment and site suitability analysis
Expected Outputs of Biomass
TheoryBIOMASS
Biomass – a biological material that can be found from living organisms
Sources of Biomass:
TheoryBIOMASS
Primary Feed stocks in the Philippines
TheoryBIOMASS
Primary Feed stocks in the Philippines
TheoryBIOMASS
Primary Feed stocks in the Philippines
TheoryBIOMASS
Primary Feed stocks in the Philippines
TheoryBIOMASS
Primary Feed stocks in the Philippines
TheoryBIOMASS
Crop residue Metric ton/MW
Rice Hull 8,150
Coconut Husk 7,372
Sugarcane Bagasse 6,832
Sugarcane Trash 7,000
Corn Cobs 6, 378
Estimated Biomass Feedstock Requirement per Year (DOE)
6 wheeler = 8 tons
1 day: 22.3 metric tons rice hull
1 MW Power plant requirement per day
Rice Hull 8,150 MT/MW
Mathematical ModelBIOMASS
Theoretical Potential - is the total annual production of residues in a region. It is a function of cultivated area and the biomass production yield of each crop:
Where:
Mathematical ModelBIOMASS
Available Potential - refers to the energy content of the biomass potential.
Where:
Mathematical ModelBIOMASS
Biomass Resource
Assumption Used in 2000 Biomass Atlas
Basis
Rice hull 1 ton = 225 kg Rice hull DOE-CBRED
Coconut waste
1000 whole nuts of coconut
United Coconut Association of the Philippines
= 0.180 tons cocoshell
= 0.4 tons cocohusk
= 0.28 tons coir dust
BagasseCane contains 29% Bagasse (50% mc) with 20-25% recovery
Sugar Regulatory Administration
Corn cob 27% of grain weight DOE-CBRED
Workflow
Work Flow
Negros Occidental
Landsat imageLandsat image after
classification
Initial Results
Initial ResultsNegros Occidental Land Cover Map
BIOMASSInitial Results of Model
SUGARCANE (NEGROS OCCIDENTAL)
Year
Crop Density Yield
(metric tons/ha)
Residue Density Yield
(metric tons/ha)
Biomass Theoretical
Potential (metric tons)
Biomass Available
Potential (MJ)
2006 68.31 19.81 2,783,779 14,7652007 59.76 17.33 2,435,348 12,9172008 71.51 20.74 2,914,185 15,4572009 64.14 18.60 2,613,842 13,8642010 57.43 16.65 2,340,395 12,413
Parameter ValuesCrop Area (ha) 140,525
Efficiency Factor 25%Availability for Energy Production 100%
Lower Heating Value (MJ/kg) 16.56Provincial Area (ha) 780,548
Bagasse = 29% of Sugarcane
Bureau of Agricultural Statistics
BIOMASSInitial Results
Please note:Data used to fom this map is very old (1980’s DA) and may no longer be applicable to the present. We just used this to test our work flow and mathematical model since lidar derived crop areas are not yet available to us as of now.
BIOMASSInitial Results
RICE HULL (TARLAC)
Year
Crop Density Yield
(metric tons/ha)
Residue Density Yield
(metric tons/ha)
Biomass Theoretical
Potential (metric tons)
Biomass Available
Potential (MJ)2006 4.52 1.02 131,272 7,2002007 4.59 1.03 133,305 7,3112008 4.52 1.02 131,272 7,2002009 4.22 0.95 122,560 6,7222010 4.34 0.98 126,045 6,913
Parameter ValuesCrop Area (ha) 129,078
Efficiency Factor 100%Availability for Energy Production 100%
Lower Heating Value (MJ/kg) 16.50Provincial Area (ha) 300,849
Biomass Available Potential (MJ)from Rice Hulls (Tarlac)
BIOMASSSummary
• Crop areas were identified using Landsat images.
• From the delineated crop areas, the validity of the mathematical model was tested together with other parameters derived from statistical data.
• LiDAR-derived crop areas, once available, will be used for the final assessment of biomass available potential.
Philippine Renewable Energy Resource Mapping from LiDAR Surveys (REMap)
Thank you!
Estimation of Biomass Available Potential From Crop Areas Identified Using Landsat
Images