Philippine Renewable Energy Resource Mapping from LiDAR Surveys (REMap) Estimation of Biomass...

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