Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem

Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem

Incorporating biomass, a potential feedstock for chemical process industry, to our existing system will require significant investments on biomass conversion technologies. A recent model, a mixed integer nonlinear program (MINLP), addresses this investment planning problem. However, it has been obse...

Full description

Bibliographic Details
Main Authors: I. Fahmi, S. Cremaschi
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2015-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4989
id doaj-023b580ca9d740d9a061ebc38b60f60e
record_format Article
spelling doaj-023b580ca9d740d9a061ebc38b60f60e2021-02-20T21:12:02ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162015-05-014310.3303/CET1543222Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning ProblemI. FahmiS. CremaschiIncorporating biomass, a potential feedstock for chemical process industry, to our existing system will require significant investments on biomass conversion technologies. A recent model, a mixed integer nonlinear program (MINLP), addresses this investment planning problem. However, it has been observed that it becomes intractable quickly with the increase in the number of technologies. This paper investigates specialized solution approaches by exploiting the MINLP structure. Replacing bilinear terms with linearly segmented tight relaxations and nonlinear terms with linearly segmented under and upper estimators, solving the resulting MIP, and initializing DICOPT at the MIP solution solves the original MINLP efficiently.https://www.cetjournal.it/index.php/cet/article/view/4989
collection DOAJ
language English
format Article
sources DOAJ
author I. Fahmi
S. Cremaschi
spellingShingle I. Fahmi
S. Cremaschi
Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
Chemical Engineering Transactions
author_facet I. Fahmi
S. Cremaschi
author_sort I. Fahmi
title Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
title_short Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
title_full Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
title_fullStr Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
title_full_unstemmed Global Solution Approaches for Biomass to Commodity Chemicals (BTCC) Investment Planning Problem
title_sort global solution approaches for biomass to commodity chemicals (btcc) investment planning problem
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2015-05-01
description Incorporating biomass, a potential feedstock for chemical process industry, to our existing system will require significant investments on biomass conversion technologies. A recent model, a mixed integer nonlinear program (MINLP), addresses this investment planning problem. However, it has been observed that it becomes intractable quickly with the increase in the number of technologies. This paper investigates specialized solution approaches by exploiting the MINLP structure. Replacing bilinear terms with linearly segmented tight relaxations and nonlinear terms with linearly segmented under and upper estimators, solving the resulting MIP, and initializing DICOPT at the MIP solution solves the original MINLP efficiently.
url https://www.cetjournal.it/index.php/cet/article/view/4989
work_keys_str_mv AT ifahmi globalsolutionapproachesforbiomasstocommoditychemicalsbtccinvestmentplanningproblem
AT scremaschi globalsolutionapproachesforbiomasstocommoditychemicalsbtccinvestmentplanningproblem
_version_ 1724259268169826304

Similar Items