Impact of energy prices and cellulosic biomass supply on agriculture, energy, and the environment: An integrated modeling approach

2015 ◽  
Vol 51 ◽  
pp. 77-87 ◽  
Author(s):  
Rebecca S. Dodder ◽  
P. Ozge Kaplan ◽  
Amani Elobeid ◽  
Simla Tokgoz ◽  
Silvia Secchi ◽  
...  
2017 ◽  
Vol 2017 (12) ◽  
pp. 2075-2095
Author(s):  
Richard R Isleib ◽  
Keith Mahoney ◽  
Jason Cassara

2017 ◽  
Vol 17 (6) ◽  
pp. 1811-1821 ◽  
Author(s):  
Roberto D. Ponce ◽  
Francisco Fernández ◽  
Alejandra Stehr ◽  
Felipe Vásquez-Lavín ◽  
Alex Godoy-Faúndez

Author(s):  
Chidambaranathan Subramanian ◽  
Muralidharan Chandrasekaran ◽  
Deshmukh Sanjeev Govind

2019 ◽  
Vol 66 (4) ◽  
pp. 509-519 ◽  
Author(s):  
Shaghaygh Akhtari ◽  
Taraneh Sowlati ◽  
Verena C Griess

Abstract Economic viability is one of the main considerations in bioenergy and biofuel projects and is impacted by uncertainty in biomass availability, cost, and quality, and bioenergy and biofuel demand and prices. One important aspect of decisionmaking under uncertainty is the viewpoint of the decision maker towards risk, which is overlooked in the biomass supply chain management literature. In this paper, we address this gap by evaluating alternative supply chain designs taking into account uncertain future conditions resulting from changes in biomass availability and cost, and bioproduct and energy prices. Three decision rules, maximax, minimax regret, and maximin, representing, respectively, optimistic, opportunistic, and pessimistic perspectives, are used for evaluation. It is assumed that the decision maker has knowledge about the potential future events, but the likelihood of their occurrence is unknown. According to the results of the case study, investment in bioenergy and biofuel conversion facilities was recommended based on optimistic and opportunistic viewpoints. Production of both bienergy and biofuels would not be profitable under pessimistic conditions. Therefore, investment in only bienergy facilities was prescribed under pessimistic conditions.


Author(s):  
Rocío Uría-Martínez ◽  
Paul N. Leiby ◽  
Maxwell L. Brown

This analysis estimates the cost of selected oil and biomass supply shocks for producers and consumers in the light-duty vehicle fuel market under various supply chain configurations using a mathematical programing model, BioTrans. The supply chain configurations differ by whether they include selected flexibility levers: multi-feedstock biorefineries; advanced biomass logistics; and the ability to adjust ethanol content of low-ethanol fuel blends, from E10 to E15 or E05. The simulated scenarios explore market responses to supply shocks including substitution between gasoline and ethanol, substitution between different sources of ethanol supply, biorefinery capacity additions or idling, and price adjustments. Welfare effects for the various market participants represented in BioTrans are summarized into a net shock cost measure. As oil accounts for a larger fraction of fuel by volume, its supply shocks are costlier than biomass supply shocks. Corn availability and the high cost of adding biorefinery capacity limit increases in ethanol use during gasoline price spikes. During shocks that imply sudden decreases in the price of gasoline, the renewable fuel standard (RFS) biofuel blending mandate limits the extent to which flexibility can be exercised to reduce ethanol use. The selected flexibility levers are most useful in response to cellulosic biomass supply shocks.


2007 ◽  
Vol 23 (6) ◽  
pp. 747-755 ◽  
Author(s):  
M. A. Thomas ◽  
B. A. Engel ◽  
M. Arabi ◽  
T. Zhai ◽  
R. Farnsworth ◽  
...  

2012 ◽  
Vol 17 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Yuanchang Xie ◽  
Mashrur Chowdhury ◽  
Parth Bhavsar ◽  
Yan Zhou

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