Publication detail

Stochastic techno-economic evaluation model for biomass supply chain: A biomass gasification case study with supply chain uncertainties

LO, S. HOW, B. TENG, S. HON LOONG, L. LIM, C. RHAMDHANI, M. SUNARSO, J.

Original Title

Stochastic techno-economic evaluation model for biomass supply chain: A biomass gasification case study with supply chain uncertainties

Type

journal article in Web of Science

Language

English

Original Abstract

Sustainable development has been a goal for many industries, which can be achieved via the substitution of non-renewable feedstocks with greener alternatives such as substituting coal with biomass for gasification process. The sustainably produced biomass-derived syngas has a lower carbon emission when utilized as a fuel. Although most studies have reported the possible impact of biomass quality on the feasibility of biomass conversion process, there is still little published works on the incorporation of biomass quality directly into developed mathematical evaluation model. Therefore, this paper aims to perform techno-economic feasibility evaluation on biomass gasification process, with the consideration of various supply chain uncertainties via Monte Carlo simulation (i.e., biomass supply, biomass quality, biomass pricing, transportation fuel price, and syngas sale price). This is achieved via integration of a generic correlation equation relating biomass quality to specific syngas yield into the Monte Carlo model. Upon consideration of the uncertainties, this study revealed that mesocarp fibre has a higher net present value (NPV) in the range of Malaysian Ringgit (MYR) 70 million to greater than MYR 120 million amongst the three types of palm-based biomass (empty fruit bunches (EFB), palm kernel shells (PKS), and mesocarp fibre). Additionally, environmental assessment performed deduced that mesocarp fibre is slightly more preferable in the impact category for HTPI and TTP with a probability of 98 % to achieve the equivalent emissions within the lower range of 0-0.2 kg 1,4-C6H4Cl2, eq whereas EFB and PKS has a probability of 18 % and 28 %, respectively.

Keywords

Biomass gasification; Monte Carlo; Optimization; Aspen plus; Biomass quality; Uncertainty

Authors

LO, S.; HOW, B.; TENG, S.; HON LOONG, L.; LIM, C.; RHAMDHANI, M.; SUNARSO, J.

Released

1. 12. 2021

Publisher

PERGAMON-ELSEVIER SCIENCE LTD

Location

OXFORD

ISBN

1364-0321

Periodical

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Year of study

152

Number

1

State

United States of America

Pages from

111644-1

Pages to

111644-21

Pages count

23

URL