5 years ago

Survey of Biomass Resource Assessments and Assessment ... - NREL

Survey of Biomass Resource Assessments and Assessment ... - NREL


Biomass Resource Assessment Capabilities It is clear from the examples above that Mexico has very good biomass resource assessment capabilities. The primary agencies providing expertise in agriculture and forestry include the National Forest Commission (CONAFOR); the Secretariat of Agriculture, Livestock, Rural Development, Fishes and Feeding (SAGARPA); and the Mexican National Institute of Forestry, Agriculture, and Livestock Research (INIFAP). Two other agencies analyze biomass resources as feedstock for power generation – the Institute of Electrical Investigations (IIE) and the Secretariat of Energy (SENER). Integrated Techniques. GIS and RS have been used by all agencies listed above for mapping cropland areas and monitoring crop production. Additionally, the National Autonomous University of Mexico (UNAM)’s Center for Ecosystems Research has been working in the field of forestry resources using geospatial techniques. UNAM conducted a wood-fuel supply and demand spatial analysis to identify high-priority (or hot spot) areas where actions to ensure the sustainability of fuelwood use are urgently needed. The approach used in the Woodfuel Integrated Supply/Demand Overview Mapping (WISDOM) model is illustrated in Figure 23. Source: Ghilardi, A., et al. 2007 Figure 23. WISDOM Analysis Steps 77

As noted in Figure 23, the WISDOM approach combines geospatial techniques and sample surveys. A combination of different methods has been used by the INIFAP in crop yield prediction and by SAGARPA for collecting crop information. INIFAP uses a set of simulation models with input data taken on-site at sample plots as well as remotely sensed data. The different levels of government agencies – federal, state and municipal – are already benefiting from timely information on the condition of agricultural crops, including the relationship with climatic effects and other potentially adverse factors as well as the impact on crop production. SAGARPA collects agricultural information via sample ground and paper surveys as well as remote sensing. The study by CENER-BID-GTZ conducted an economic analysis using numeric modeling to estimate the cost of producing ethanol and biodiesel from different feedstock. Data Availability. SAGARPA and Mexico State’s Institute of Agriculture, Livestock, Water, and Forestry Research and Training (ICAMEX) provide crop and livestock statistics by state, district and municipality. Additionally, the National Institute for Statistics and Geography (INEGI) provides agricultural and forestry statistics at the BGA level, collected via paper surveys. References 1. Arita, G. and Galarza, J. M, Centro de Estadistica Agropecuaria, SAGARPA, Remote Sensing in Mexico: An Application in the Agricultural Sector, 2000 (Secured) 2. Comisión Nacional Forestal (CONAFOR) y la Asociación Nacional de Energía Solar (ANES), La Bioenergia En Mexico: Un Catalizador Del Desarrollo Sustentable, 2006 3. Feregrino, Alma Santa Rita, Secretaria de Energia (SENER), Biocombustibles: Perspectivas del Desarrollo en Mexico, Presentation at the Second Latin American and the Caribbean Biofuels Seminar, El Salvador, September 2007,ía3/Sesión12­ Dia%203/AlmaSantaRita.pdf 4. Ghilardi, A. et al (2007), “Spatial analysis of residential fuelwood supply and demand patterns in Mexico using the WISDOM approach”, Biomass & Bioenergy (31):475-481 5. Institute of Agriculture, Livestock, Water, and Forestry Research and Training (ICAMEX), Accessed April 2008, 6. Instituto de Investigaciones Eléctricas (IIE), Sistema de Información Geográfica para las Energías Renovables (SIGER), Accessed May 2008, htm 7. Instituto Nacional de Estadística Geografía e Informática (INEGI), Accessed April 2008, 8. Secretariat of Agriculture, Livestock, Rural Development, Fishes and Feeding (SAGARPA), Accessed April 2008, 9. Secretaría de Energía (SENER), Banco Interamericano de Desarrollo (BID), and Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ), Potenciales y Viabilidad 78

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