Recipient Organization
CORNELL UNIVERSITY
(N/A)
ITHACA,NY 14853
Performing Department
Biological & Environmental Engineering
Non Technical Summary
Drying is a major and challenging step in the pre-treatment of biomass for many used. Biomass feed stocks are mostly wet and need to be dried from 30 to 60 moisture content to about 10 to 20 % moisture content. Large scale bio-energy plants use direct-rotary dryers and steam drying techniques but are expensive. Willow is a mature crop and there have been best practices that have been developed but the logistics of storage and drying willow are limited particularly for the smaller scale and specialty applications.= . The drying of grain is well simulated and grain conditioning technology has been well developed. These techniques and devices have been adapted to large scale bioenergy systems. However, the cost of equipment to condition (dry) can be very high. "For this reason, fuel driers are almost never found in facilities of smaller size. The typical residence furnace is less than 100,000 Btu and some use wood as a fuel. Wood can be obtained in a variety of sizes (logs, chips, pellets, etc.) and is dried and processed in variety of ways and over different lengths of time. There is a need to study the handling, drying and storage of wood chips as they might be used in a relatively "closed" system (production, processing and use near each other). At water heating system for two buildings will be used as a good representation of such a system as well as other smaller scale systems.
Animal Health Component
70%
Research Effort Categories
Basic
20%
Applied
70%
Developmental
10%
Goals / Objectives
1. Create a model for thermodynamic parameters of moist air at constant pressure for specific geographic locations, for a calendar year and on hourly basis. Model will determine amount of water that can be removed for any time period during the year for a given ventilation period and include the possibility of the use of heated air. The cost of removing the water under difference circumstances will also be calculated using estimated cost for fuel. 2. Collect data on pressure drop over a control volume of wood chips at airflows typically used for drying throughout the year. Chips samples will come from different harvesting techniques. 3. Collect data for chips from different harvesting techniques 1) to determine storage volume and changes in density over time, 2) to determine pile temperature and moisture content during drying and storage. 4. Collect data on the deterioration of energy content of wood and the development of mold as a function of storage temperatures, storage time and drying rate. Wood samples will come from different harvesting techniques. 5. Test different drying/storage durations for drying willow on an annual basis that could satisfy the needs of Cornell Boiler in Geneva. We will test storage/times variations relative to the harvest time. There will be a short(3-5 weeks) storage/ drying time (just in time burning relative to harvest) with heated air, medium (2-3 months) storage/drying time with heated and ambient air and long (4-12 months) storage/drying time with ambient air. 6. Findings during these studies will be reported in peer reviewed journals and made available through websites at Cornell and Penn State as well as appropriate conferences.
Project Methods
1. We will develop an Excel and Matlab model for drying wood chips based weather data and elevation from any location. Geneva NY will be our test case for the model but the model will also be used in Energy Courses in BEE particularly BEE4010. Economic analysis will be incorporated into the model based that is based on the energy used to heat air and operate fans to aerate the chip piles. Cost of energy will be determined. 2. We expect to collect chips harvested from different harvesters (at least one row and two row), for different growth times (at least two to four years) and different locations of the north east. 3. Chips will be analyzed for size (sieve and image processing technique), density, energy content, moisture content and biological activity during the drying processes. 4. Airflow versus pressure drop for fixed volumes of chips will be determined and compared to airflow in stacked piles. This data to be put in the form of a Shedd's Chart typical for grain drying and used to determine fan specifications. Chip characteristics will be correlated with these data also. (Behlen Manufacturing Company Columbia NE, 2013; Junan, W. and Hongwei, Z. 1998). 5. Three drying and storage processes will be used for the Geneva boiler: a) Fresh chips dried in hopper for 3 weeks and used immediately- so called Just in time drying of chips with heated and ambient air; b) drying and storage of chip piles with heated and ambient for different durations r, c) drying and storage of chips with ambient air for different durations. From these unique drying events we will be able compare results to those predictions from our weather model and airflow/pressure drop estimates.