TY - JOUR
T1 - An integrated mathematical optimisation approach to synthesise and analyse a bioelectricity supply chain network
AU - Ling, Wen Choong
AU - Verasingham, Arati Banu
AU - Andiappan, Viknesh
AU - Wan, Yoke Kin
AU - Chew, Irene M.L.
AU - Ng, Denny K.S.
N1 - Funding Information:
The authors would like to acknowledge LINDO Systems for providing academic licenses to conduct this research. In addition, the authors would like to acknowledge the financial support provided from the Ministry of Higher Education, Malaysia through the LRGS Grant ( LRGS/2013/UKM-UNMC/PT/05 ) and the School fund provided from the Department of Chemical and Environmental Engineering/Centre of Sustainable Palm Oil Research ( CESPOR ), The University of Nottingham , Malaysia Campus.
Funding Information:
The authors would like to acknowledge LINDO Systems for providing academic licenses to conduct this research. In addition, the authors would like to acknowledge the financial support provided from the Ministry of Higher Education, Malaysia through the LRGS Grant (LRGS/2013/UKM-UNMC/PT/05) and the School fund provided from the Department of Chemical and Environmental Engineering/Centre of Sustainable Palm Oil Research (CESPOR), The University of Nottingham, Malaysia Campus.
Publisher Copyright:
© 2019 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - This paper presents an integrated mathematical optimisation approach to synthesise a bioelectricity supply chain network with minimal costs. Detailed economic evaluation was performed to determine the optimum location of centralised or decentralised biomass pre-treatment and power plants. Once the optimum bioelectricity supply chain network is established, input-output modelling of the network is formed. Next, feasible operating range analysis is performed. A palm-based bioelectricity supply chain case study in Malaysia is used to illustrate the proposed approach. Based on the optimised results, a total of 80.90 MW of bioelectricity are generated with an estimated net present value of USD 123.94 million and a payback period of 5 years. Meanwhile, the feasible operating range analysis indicated that the synthesised bioelectricity supply chain network possessed multiple feasible operating ranges; 5.06–10.04 MW, 11.88–36.08 MW and 44.26–101.16 MW. Based on the result, the decision makers can determine the potential of the future bioelectricity projects according to different seasons of supply and demand variations.
AB - This paper presents an integrated mathematical optimisation approach to synthesise a bioelectricity supply chain network with minimal costs. Detailed economic evaluation was performed to determine the optimum location of centralised or decentralised biomass pre-treatment and power plants. Once the optimum bioelectricity supply chain network is established, input-output modelling of the network is formed. Next, feasible operating range analysis is performed. A palm-based bioelectricity supply chain case study in Malaysia is used to illustrate the proposed approach. Based on the optimised results, a total of 80.90 MW of bioelectricity are generated with an estimated net present value of USD 123.94 million and a payback period of 5 years. Meanwhile, the feasible operating range analysis indicated that the synthesised bioelectricity supply chain network possessed multiple feasible operating ranges; 5.06–10.04 MW, 11.88–36.08 MW and 44.26–101.16 MW. Based on the result, the decision makers can determine the potential of the future bioelectricity projects according to different seasons of supply and demand variations.
KW - Bioelectricity supply chain network
KW - Feasible operating range analysis
KW - Input-output modelling
KW - Palm oil
UR - http://www.scopus.com/inward/record.url?scp=85065462939&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2019.04.141
DO - 10.1016/j.energy.2019.04.141
M3 - Article
AN - SCOPUS:85065462939
SN - 0360-5442
VL - 178
SP - 554
EP - 571
JO - Energy
JF - Energy
ER -