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

BIOMASS Outline 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

BIOMASS Framework 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

Theory BIOMASS Biomass – a biological material that can be found from living organisms Sources of Biomass:

Theory BIOMASS Primary Feed stocks in the Philippines

Theory BIOMASS Primary Feed stocks in the Philippines

Theory BIOMASS Primary Feed stocks in the Philippines

Theory BIOMASS Primary Feed stocks in the Philippines

Theory BIOMASS Primary Feed stocks in the Philippines

Theory BIOMASS Crop residueMetric ton/MW Rice Hull8,150 Coconut Husk7,372 Sugarcane Bagasse6,832 Sugarcane Trash7,000 Corn Cobs6, 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 Hull8,150 MT/MW

Mathematical Model BIOMASS 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 Model BIOMASS Available Potential - refers to the energy content of the biomass potential. Where:

Mathematical Model BIOMASS Biomass Resource Assumption Used in 2000 Biomass Atlas Basis Rice hull1 ton = 225 kg Rice hullDOE-CBRED Coconut waste 1000 whole nuts of coconut United Coconut Association of the Philippines = tons cocoshell = 0.4 tons cocohusk = 0.28 tons coir dust Bagasse Cane contains 29% Bagasse (50% mc) with 20-25% recovery Sugar Regulatory Administration Corn cob27% of grain weightDOE-CBRED

Workflow

Work Flow

Negros Occidental Landsat image Landsat image after classification Initial Results

Negros Occidental Land Cover Map

BIOMASS Initial 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) ,783,77914, ,435,34812, ,914,18515, ,613,84213, ,340,39512,413 Parameter Values Crop Area (ha)140,525 Efficiency Factor25% Availability for Energy Production100% Lower Heating Value (MJ/kg)16.56 Provincial Area (ha)780,548 Bagasse = 29% of Sugarcane Bureau of Agricultural Statistics

BIOMASS Initial 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.

BIOMASS Initial 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) ,2727, ,3057, ,2727, ,5606, ,0456,913 Parameter Values Crop Area (ha)129,078 Efficiency Factor100% Availability for Energy Production100% Lower Heating Value (MJ/kg)16.50 Provincial Area (ha)300,849

Biomass Available Potential (MJ) from Rice Hulls (Tarlac)

BIOMASS Summary 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