Biomass feedstock production and provision: A system level optimization approach

Yogendra Shastri, Alan Christopher Hansen, Luis F Rodriguez, Kuan Chong Ting

Research output: Contribution to conferencePaper

Abstract

The success of biomass based energy sector depends critically on an efficient, cost-effective and sustainable biomass feedstock production system supporting the biorefinery. Spatially distributed collection of the low energy density feedstock demands a highly efficient system to ensure cost competitiveness. Further challenges arise as seasonal availability of energy crops must support year-round demand to operate refinery on a continuous basis. Consequently, an integrated system level analysis is necessary to coordinate various feedstock production related tasks. Such an analysis should incorporate not only planning level (long term) but also management and operational level (short term) aspects. This article presents the research conducted in developing a feedstock production optimization model as a step in developing such a framework. The breadth level optimization model incorporates different tasks such as harvesting, packing, storage, biomass handling and transportation that are essential for feedstock production. The objective is to determine the optimal configuration of the feedstock production system on a regional basis. The decision variables include the design/planning level decisions such as equipment selection and transportation mode selection, and also the management level decisions such as daily farm management and transportation fleet scheduling. This leads to the formulation of a mixed integer linear programming (MILP) problem. An economic objective function is formulated and established techniques from mathematical programming are used to solve the computationally challenging problem. Other performance indicators such as energy consumption and greenhouse gas emissions are also tracked for comparison. The model has been applied for the case of switchgrass production as the energy crop in southern Illinois. The results show that the optimal machine selection and storage decisions depend on the farm-size, and also highlight the importance of developing an optimization model.

Original languageEnglish (US)
StatePublished - Dec 1 2009
Event2009 AIChE Annual Meeting, 09AIChE - Nashville, TN, United States
Duration: Nov 8 2009Nov 13 2009

Other

Other2009 AIChE Annual Meeting, 09AIChE
CountryUnited States
CityNashville, TN
Period11/8/0911/13/09

Fingerprint

Feedstocks
Biomass
Farms
Crops
Planning
Mathematical programming
Gas emissions
Greenhouse gases
Linear programming
Costs
Energy utilization
Scheduling
Availability
Economics

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Cite this

Shastri, Y., Hansen, A. C., Rodriguez, L. F., & Ting, K. C. (2009). Biomass feedstock production and provision: A system level optimization approach. Paper presented at 2009 AIChE Annual Meeting, 09AIChE, Nashville, TN, United States.

Biomass feedstock production and provision : A system level optimization approach. / Shastri, Yogendra; Hansen, Alan Christopher; Rodriguez, Luis F; Ting, Kuan Chong.

2009. Paper presented at 2009 AIChE Annual Meeting, 09AIChE, Nashville, TN, United States.

Research output: Contribution to conferencePaper

Shastri, Y, Hansen, AC, Rodriguez, LF & Ting, KC 2009, 'Biomass feedstock production and provision: A system level optimization approach' Paper presented at 2009 AIChE Annual Meeting, 09AIChE, Nashville, TN, United States, 11/8/09 - 11/13/09, .
Shastri Y, Hansen AC, Rodriguez LF, Ting KC. Biomass feedstock production and provision: A system level optimization approach. 2009. Paper presented at 2009 AIChE Annual Meeting, 09AIChE, Nashville, TN, United States.
Shastri, Yogendra ; Hansen, Alan Christopher ; Rodriguez, Luis F ; Ting, Kuan Chong. / Biomass feedstock production and provision : A system level optimization approach. Paper presented at 2009 AIChE Annual Meeting, 09AIChE, Nashville, TN, United States.
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