An Economic and Environmental Assessment for Microalgal Energy Systems

Po-Han; Wang; Jo Shu Chang; Wei Wu; Erdorng Wu

doi:10.1016/j.egypro.2017.03.633

An Economic and Environmental Assessment for Microalgal Energy Systems

Po-Han, Wang, Jo Shu Chang, Wei Wu, Erdorng Wu

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

The superstructure modeling of microalgal energy system including cultivation, dewatering, harvesting, extraction, biodiesel production, gasification and power output is achieved by using Aspen Plus® and experimental data. To address the multi-objective optimization (MOO) of microalgal energy system with respect to e economic cost and life cycle assessment (LCA), the mixed-integer nonlinear programming (MINLP) is solved by GAMS^®. Bilinear relaxation is applied for the nonconvex constraints to reach the global optimum by using the piecewise bilinear relaxation convex envelope. Finally, a Pareto-curve graph for evaluating the trade-offs between environmental impacts and economic feasibility is successfully investigated.

Original language	English
Pages (from-to)	3051-3061
Number of pages	11
Journal	Energy Procedia
Volume	105
DOIs	https://doi.org/10.1016/j.egypro.2017.03.633
Publication status	Published - 2017
Event	8th International Conference on Applied Energy, ICAE 2016 - Beijing, China Duration: 2016 Oct 8 → 2016 Oct 11

All Science Journal Classification (ASJC) codes

Energy(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2017.03.633

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@article{c48ad848b7e84d4fa626eb9bad5ed224,

title = "An Economic and Environmental Assessment for Microalgal Energy Systems",

abstract = "The superstructure modeling of microalgal energy system including cultivation, dewatering, harvesting, extraction, biodiesel production, gasification and power output is achieved by using Aspen Plus{\textregistered} and experimental data. To address the multi-objective optimization (MOO) of microalgal energy system with respect to e economic cost and life cycle assessment (LCA), the mixed-integer nonlinear programming (MINLP) is solved by GAMS{\textregistered}. Bilinear relaxation is applied for the nonconvex constraints to reach the global optimum by using the piecewise bilinear relaxation convex envelope. Finally, a Pareto-curve graph for evaluating the trade-offs between environmental impacts and economic feasibility is successfully investigated.",

author = "Po-Han and Wang and Chang, {Jo Shu} and Wei Wu and Erdorng Wu",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 8th International Conference on Applied Energy, ICAE 2016 ; Conference date: 08-10-2016 Through 11-10-2016",

year = "2017",

doi = "10.1016/j.egypro.2017.03.633",

language = "English",

volume = "105",

pages = "3051--3061",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier BV",

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TY - JOUR

T1 - An Economic and Environmental Assessment for Microalgal Energy Systems

AU - Po-Han,

AU - Wang,

AU - Chang, Jo Shu

AU - Wu, Wei

AU - Wu, Erdorng

PY - 2017

Y1 - 2017

N2 - The superstructure modeling of microalgal energy system including cultivation, dewatering, harvesting, extraction, biodiesel production, gasification and power output is achieved by using Aspen Plus® and experimental data. To address the multi-objective optimization (MOO) of microalgal energy system with respect to e economic cost and life cycle assessment (LCA), the mixed-integer nonlinear programming (MINLP) is solved by GAMS®. Bilinear relaxation is applied for the nonconvex constraints to reach the global optimum by using the piecewise bilinear relaxation convex envelope. Finally, a Pareto-curve graph for evaluating the trade-offs between environmental impacts and economic feasibility is successfully investigated.

AB - The superstructure modeling of microalgal energy system including cultivation, dewatering, harvesting, extraction, biodiesel production, gasification and power output is achieved by using Aspen Plus® and experimental data. To address the multi-objective optimization (MOO) of microalgal energy system with respect to e economic cost and life cycle assessment (LCA), the mixed-integer nonlinear programming (MINLP) is solved by GAMS®. Bilinear relaxation is applied for the nonconvex constraints to reach the global optimum by using the piecewise bilinear relaxation convex envelope. Finally, a Pareto-curve graph for evaluating the trade-offs between environmental impacts and economic feasibility is successfully investigated.

UR - http://www.scopus.com/inward/record.url?scp=85020693759&partnerID=8YFLogxK

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U2 - 10.1016/j.egypro.2017.03.633

DO - 10.1016/j.egypro.2017.03.633

M3 - Conference article

AN - SCOPUS:85020693759

SN - 1876-6102

VL - 105

SP - 3051

EP - 3061

JO - Energy Procedia

JF - Energy Procedia

T2 - 8th International Conference on Applied Energy, ICAE 2016

Y2 - 8 October 2016 through 11 October 2016

ER -

An Economic and Environmental Assessment for Microalgal Energy Systems

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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