Optimizing Biorefinery Design and Operations via Linear Programming Models
Abstract
The ability to assess and optimize economics of biomass resource utilization for the production of fuels, chemicals and power is essential for the ultimate success of a bioenergy industry. The team of authors, consisting of members from the National Renewable Energy Laboratory (NREL) and the Idaho National Laboratory (INL), has developed simple biorefinery linear programming (LP) models to enable the optimization of theoretical or existing biorefineries. The goal of this analysis is to demonstrate how such models can benefit the developing biorefining industry. It focuses on a theoretical multipathway, thermochemical biorefinery configuration and demonstrates how the biorefinery can use LP models for operations planning and optimization in comparable ways to the petroleum refining industry. Using LP modeling tools developed under U.S. Department of Energy's Bioenergy Technologies Office (DOEBETO) funded efforts, the authors investigate optimization challenges for the theoretical biorefineries such as (1) optimal feedstock slate based on available biomass and prices, (2) breakeven price analysis for available feedstocks, (3) impact analysis for changes in feedstock costs and product prices, (4) optimal biorefinery operations during unit shutdowns / turnarounds, and (5) incentives for increased processing capacity. These biorefinery examples are comparable to crude oil purchasing and operational optimization studies that petroleummore »
 Authors:
 Publication Date:
 Research Org.:
 National Renewable Energy Lab. (NREL), Golden, CO (United States)
 Sponsoring Org.:
 USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE3B)
 OSTI Identifier:
 1349552
 Report Number(s):
 NREL/PO510067346
 DOE Contract Number:
 AC3608GO28308
 Resource Type:
 Conference
 Resource Relation:
 Conference: Presented at the Symposium on Thermal and Catalytic Sciences for Biofuels and Biobased Products (TCS 2016), 14 November 2016, Chapel Hill, North Carolina
 Country of Publication:
 United States
 Language:
 English
 Subject:
 09 BIOMASS FUELS; biomass; biopower; biofuels; biochemicals; linear programmning; thermochemical; biorefinery; feedstock
Citation Formats
Talmadge, Michael, Batan, Liaw, Lamers, Patrick, Hartley, Damon, Biddy, Mary, Tao, Ling, and Tan, Eric. Optimizing Biorefinery Design and Operations via Linear Programming Models. United States: N. p., 2017.
Web.
Talmadge, Michael, Batan, Liaw, Lamers, Patrick, Hartley, Damon, Biddy, Mary, Tao, Ling, & Tan, Eric. Optimizing Biorefinery Design and Operations via Linear Programming Models. United States.
Talmadge, Michael, Batan, Liaw, Lamers, Patrick, Hartley, Damon, Biddy, Mary, Tao, Ling, and Tan, Eric. Tue .
"Optimizing Biorefinery Design and Operations via Linear Programming Models". United States.
doi:. https://www.osti.gov/servlets/purl/1349552.
@article{osti_1349552,
title = {Optimizing Biorefinery Design and Operations via Linear Programming Models},
author = {Talmadge, Michael and Batan, Liaw and Lamers, Patrick and Hartley, Damon and Biddy, Mary and Tao, Ling and Tan, Eric},
abstractNote = {The ability to assess and optimize economics of biomass resource utilization for the production of fuels, chemicals and power is essential for the ultimate success of a bioenergy industry. The team of authors, consisting of members from the National Renewable Energy Laboratory (NREL) and the Idaho National Laboratory (INL), has developed simple biorefinery linear programming (LP) models to enable the optimization of theoretical or existing biorefineries. The goal of this analysis is to demonstrate how such models can benefit the developing biorefining industry. It focuses on a theoretical multipathway, thermochemical biorefinery configuration and demonstrates how the biorefinery can use LP models for operations planning and optimization in comparable ways to the petroleum refining industry. Using LP modeling tools developed under U.S. Department of Energy's Bioenergy Technologies Office (DOEBETO) funded efforts, the authors investigate optimization challenges for the theoretical biorefineries such as (1) optimal feedstock slate based on available biomass and prices, (2) breakeven price analysis for available feedstocks, (3) impact analysis for changes in feedstock costs and product prices, (4) optimal biorefinery operations during unit shutdowns / turnarounds, and (5) incentives for increased processing capacity. These biorefinery examples are comparable to crude oil purchasing and operational optimization studies that petroleum refiners perform routinely using LPs and other optimization models. It is important to note that the analyses presented in this article are strictly theoretical and they are not based on current energy market prices. The pricing structure assigned for this demonstrative analysis is consistent with $4 per gallon gasoline, which clearly assumes an economic environment that would favor the construction and operation of biorefineries. The analysis approach and examples provide valuable insights into the usefulness of analysis tools for maximizing the potential benefits of biomass utilization for production of fuels, chemicals and power.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 28 00:00:00 EDT 2017},
month = {Tue Mar 28 00:00:00 EDT 2017}
}

Nonlinear programming method for optimizing parallelhole collimator design
The effects of radiation on the functional vasculature of the hamster cheek pouch was evaluated by isotopic techniques. The $sup 86$Rb extraction system was used to measure blood flow, while $sup 51$Crlabeled erythrocytes were utilized to determine changes in blood volume. Modifications in these two parameters were determed by comparisons between irradiated and control pouches in the same animal. As early as 2 wk after irradiation, the isotope techniques indicated increases in blood flow and volume for doses of 2000 and 3000 rads. At later times, modification in both flow and volume were indicated with doses of 500, 2000, andmore » 
OnOff MinimumTime Control With Limited Fuel Usage: Global Optima Via Linear Programming
A method for finding a global optimum to the onoff minimumtime control problem with limited fuel usage is presented. Each control can take on only three possible values: maximum, zero, or minimum. The simplex method for linear systems naturally yields such a solution for the reformulation presented herein because it always produces an extreme point solution to the linear program. Numerical examples for the benchmark linear flexible system are presented. 
Fixeddimensional parallel linear programming via relative {Epsilon}approximations
We show that linear programming in IR{sup d} can be solved deterministically in O((log log n){sup d}) time using linear work in the PRAM model of computation, for any fixed constant d. Our method is developed for the CRCW variant of the PRAM parallel computation model, and can be easily implemented to run in O(log n(log log n){sup d1}) time using linear work on an EREW PRAM. A key component in these algorithms is a new, efficient parallel method for constructing Enets and Eapproximations (which have wide applicability in computational geometry). In addition, we introduce a new deterministic set approximationmore » 
Minimumtime control of systems with Coloumb friction: Near global optima via mixed integer linear programming
This work presents a method of finding near global optima to minimumtime trajectory generation problem for systems that would be linear if it were not for the presence of Coloumb friction. The required final state of the system is assumed to be maintainable by the system, and the input bounds are assumed to be large enough so that they can overcome the maximum static Coloumb friction force. Other than the previous work for generating minimumtime trajectories for non redundant robotic manipulators for which the path in joint space is already specified, this work represents, to the best of the authors'more »