Imperial College London

DrBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering
 
 
 
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Contact

 

b.chachuat Website

 
 
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Location

 

609Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Mutran:2019:10.1016/B978-0-12-818634-3.50061-8,
author = {Mutran, VM and Ribeiro, CO and Nascimento, COA and Chachuat, B},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-12-818634-3.50061-8},
pages = {361--366},
title = {Risk-conscious approach to optimizing bioenergy investments in the Brazilian sugarcane industry},
url = {http://dx.doi.org/10.1016/B978-0-12-818634-3.50061-8},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - © 2019 Elsevier B.V. Deciding price policies in order to attract new investments on renewable energy generation remains a challenge to many public policy-makers. This is particularly relevant to the Brazilian sugarcane industry, which has experienced a significant reduction in new bioenergy projects in recent years. Since investment costs there of are expressive, a producer's willingness to increase energy generation is highly dependent on market conditions. Herein, we propose an optimization model based on portfolio theory to assess different price policies for attracting investment, where historical variations in sugar, ethanol and spot-market electricity prices are accounted for. Results obtained on a representative case study highlight the significant role played by regulated market prices in mitigating financial risks in the sugarcane business. The analysis enables a better understanding of investors’ behavior according to their aversion to risk. It could support policy-makers with more effective pricing in the regulated market to keep promoting bioenergy generation.
AU - Mutran,VM
AU - Ribeiro,CO
AU - Nascimento,COA
AU - Chachuat,B
DO - 10.1016/B978-0-12-818634-3.50061-8
EP - 366
PY - 2019///
SP - 361
TI - Risk-conscious approach to optimizing bioenergy investments in the Brazilian sugarcane industry
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-12-818634-3.50061-8
ER -