The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 71-74). === India has a remarkably large inventory of biomass, but the operation of biorefineries has been difficul...

Full description

Bibliographic Details
Main Author: Yan, YanS.M.Massachusetts Institute of Technology.
Other Authors: Ahmed Ghoniem.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/122230
id ndltd-MIT-oai-dspace.mit.edu-1721.1-122230
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1222302019-11-23T03:50:52Z The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India Yan, YanS.M.Massachusetts Institute of Technology. Ahmed Ghoniem. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering Mechanical Engineering. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 71-74). India has a remarkably large inventory of biomass, but the operation of biorefineries has been difficult due to the uncertainty in biomass availability and the lack of biomass supply chain management in the industry. To help biorefinery operators make strategic decisions, this study develops a model that optimizes and evaluates the economic viability of bioenergy/biofuel production technologies in India. To enhance the accuracy of the simulation, bioenergy potential is mapped out using geospatial information system, and biomass transportation distances are calculated using geospatial network analysis. The optimization model is built as a mixed integer linear programming problem to solve for the optimal locations, number and scale of the biorefinery, and biomass flows to it. Biosynthetic natural gas (bioSNG) production technology, GoBiGas, is used to test the model. The levelized cost of bioSNG and the ensuing cost sensitivity analysis concludes that this particular technology configuration is not sustainably profitable in India, but a less capital intensive technology might be able to demonstrate otherwise. by Yan Yan. S.M. S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering 2019-09-17T19:48:51Z 2019-09-17T19:48:51Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122230 1119388851 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 74 pages application/pdf a-ii--- Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Mechanical Engineering.
spellingShingle Mechanical Engineering.
Yan, YanS.M.Massachusetts Institute of Technology.
The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 71-74). === India has a remarkably large inventory of biomass, but the operation of biorefineries has been difficult due to the uncertainty in biomass availability and the lack of biomass supply chain management in the industry. To help biorefinery operators make strategic decisions, this study develops a model that optimizes and evaluates the economic viability of bioenergy/biofuel production technologies in India. To enhance the accuracy of the simulation, bioenergy potential is mapped out using geospatial information system, and biomass transportation distances are calculated using geospatial network analysis. The optimization model is built as a mixed integer linear programming problem to solve for the optimal locations, number and scale of the biorefinery, and biomass flows to it. Biosynthetic natural gas (bioSNG) production technology, GoBiGas, is used to test the model. The levelized cost of bioSNG and the ensuing cost sensitivity analysis concludes that this particular technology configuration is not sustainably profitable in India, but a less capital intensive technology might be able to demonstrate otherwise. === by Yan Yan. === S.M. === S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
author2 Ahmed Ghoniem.
author_facet Ahmed Ghoniem.
Yan, YanS.M.Massachusetts Institute of Technology.
author Yan, YanS.M.Massachusetts Institute of Technology.
author_sort Yan, YanS.M.Massachusetts Institute of Technology.
title The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
title_short The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
title_full The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
title_fullStr The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
title_full_unstemmed The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
title_sort design of a bioenergy potential map and a gis-enabled optimization model for biofuel production in india
publisher Massachusetts Institute of Technology
publishDate 2019
url https://hdl.handle.net/1721.1/122230
work_keys_str_mv AT yanyansmmassachusettsinstituteoftechnology thedesignofabioenergypotentialmapandagisenabledoptimizationmodelforbiofuelproductioninindia
AT yanyansmmassachusettsinstituteoftechnology designofabioenergypotentialmapandagisenabledoptimizationmodelforbiofuelproductioninindia
_version_ 1719295313362026496