東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Environmental Assessment of Bio-base...

Montazeri, Mahdokht.

Linked to FindBook

Google Book

Amazon

博客來

Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology./
Author:	Montazeri, Mahdokht.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	205 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Contained By:	Dissertation Abstracts International78-10B(E).
Subject:	Environmental engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10276044
ISBN:	9781369806601

Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology.
Montazeri, Mahdokht.

Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 205 p.

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--Northeastern University, 2017.

This item is not available from ProQuest Dissertations & Theses.

Based on US EPA and DOE projections, biomass derived fuels and chemicals will supply up to 17% and 10% of total demand for transport fuels and basic chemicals, respectively, during the coming decade. Such large-scale production requires environmental assessment at a systems level using tools such as life cycle assessment (LCA). This dissertation combines chemical engineering process modeling with LCA to assess environmental impacts of novel bio-based products and synthesis routes. Four projects of this dissertation include, (1) a statistical meta-analysis of life cycle GHG emission and energy use results for priority bio-based chemicals; (2) a process design and LCA analysis of a novel catalytic depolymerization process for production of aromatics from the lignin fraction of woody biomass; (3) an industry-sponsored assessment of the net environmental benefits of substitution of renewable chemical building blocks in the formulation of wood flooring coatings; and (4) evaluation of integrated fuel, energy, and chemicals production from a microalgal biorefinery, considering time-dependent fractional growth kinetics of freshwater and marine microalgae.

ISBN: 9781369806601Subjects--Topical Terms:

548583
Environmental engineering.

Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology.
LDR:03649nmm a2200337 4500 001 2156077
005 20180517123955.5
008 190424s2017 ||||||||||||||||| ||eng d
020 $a 9781369806601
035 $a (MiAaPQ)AAI10276044
035 $a (MiAaPQ)coe.neu:10850
035 $a AAI10276044
040 $a MiAaPQ $c MiAaPQ
100 1 $a Montazeri, Mahdokht. $3 3341836
245 1 0 $a Environmental Assessment of Bio-based Fuels and Chemicals Using LCA Methodology.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 205 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Matthew J. Eckelman.
502 $a Thesis (Ph.D.)--Northeastern University, 2017.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Based on US EPA and DOE projections, biomass derived fuels and chemicals will supply up to 17% and 10% of total demand for transport fuels and basic chemicals, respectively, during the coming decade. Such large-scale production requires environmental assessment at a systems level using tools such as life cycle assessment (LCA). This dissertation combines chemical engineering process modeling with LCA to assess environmental impacts of novel bio-based products and synthesis routes. Four projects of this dissertation include, (1) a statistical meta-analysis of life cycle GHG emission and energy use results for priority bio-based chemicals; (2) a process design and LCA analysis of a novel catalytic depolymerization process for production of aromatics from the lignin fraction of woody biomass; (3) an industry-sponsored assessment of the net environmental benefits of substitution of renewable chemical building blocks in the formulation of wood flooring coatings; and (4) evaluation of integrated fuel, energy, and chemicals production from a microalgal biorefinery, considering time-dependent fractional growth kinetics of freshwater and marine microalgae.
520 $a In general, assessment results of bio-based fuels and chemicals were found to be sensitive to process and LCA model parameters, especially the choice of conversion process, co-product allocation method, and inclusion/exclusion of emissions from land use change. Net GHG emissions results for most sugar-derived chemicals met existing sustainability thresholds, while thermochemical conversions routes typically did not. High-yield conversion of lignin to catechol via catalytic depolymerization is environmentally preferable, when coupled with upstream process modifications such as use of lignin-rich sources and recovery/substitution of chlorinated solvents and ozone-depleting substances. Such a modified pathway showed 6%-80% reduction in impacts, compared to fossil-based catechols. For use of renewable building blocks in industrial coating formulations, substitution of corn-derived chemicals with identical chemicals derived from corn stover reduced impacts by more than 50% across impact categories, primarily due to reductions in on-field emissions. Finally, time-dependent microalgal biorefinery designs were optimized through simultaneous consideration of on-site energy production and protein recovery, in addition to conventional lipid-derived biofuel. Overall, this dissertation develops novel LCA modeling methods and provides guidance for bio-based product design and development and policy.
590 $a School code: 0160.
650 4 $a Environmental engineering. $3 548583
650 4 $a Sustainability. $3 1029978
650 4 $a Alternative Energy. $3 1035473
690 $a 0775
690 $a 0640
690 $a 0363
710 2 $a Northeastern University. $b Civil and Environmental Engineering. $3 1035254
773 0 $t Dissertation Abstracts International $g 78-10B(E).
790 $a 0160
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10276044