TY  - JOUR
VL  - 144
A1  - James Rubinsin, N.
A1  - Daud, W.R.W.
A1  - Kamarudin, S.K.
A1  - Masdar, M.S.
A1  - Rosli, M.I.
A1  - Samsatli, S.
A1  - Tapia, J.F.D.
A1  - Wan Ab Karim Ghani, W.A.
A1  - Hasan, A.
A1  - Lim, K.L.
JF  - Biomass and Bioenergy
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098463910&doi=10.1016%2fj.biombioe.2020.105912&partnerID=40&md5=33cee3c7b094116143e8b752228abea4
PB  - Elsevier Ltd
SN  - 09619534
Y1  - 2021///
TI  - Modelling and optimisation of oil palm biomass value chains and the environmentâ??foodâ??energyâ??water nexus in peninsular Malaysia
ID  - scholars15953
KW  - Biomass; Bioproducts; Economic and social effects; Environmental impact; Multiobjective optimization; Optimal systems; Petroleum industry; Profitability; Sustainable development
KW  -  Environmental and economic impacts; Fuzzy analytic hierarchy; Modelling and optimisation; Optimal solutions; Processing facilities; Sustainability issues; Value chain model; Water consumption
KW  -  Palm oil
KW  -  biomass; carbon emission; economic impact; environmental economics; integrated approach; modeling; optimization; sustainability
KW  -  West Malaysia
KW  -  Elaeis
N2  - This study aims to develop a decision model to optimise the oil palm biomass value chains by minimising the environmental impact whiles generating economy value from their bioproducts. The model considers two major components, namely, a fuzzy analytic hierarchy (FAHP) framework and a multi-objective optimisation model. Both components will be used by integrating the priorities of the environmental and economic impacts obtained from experts' judgement with the multi-objective optimisation model to generate an optimal solution based on expert's judgement. The framework used to study different case study for the oil palm industry in Peninsular Malaysia. Results show that a maximum profit of 267,116,398 USD per year can be achieved. However, to minimise the environmental impact, a 34 cut of the profit is needed to reduce 91 of CO2 emissions generated and 97 of water consumption. Moreover, the model generates optimal pathways by selecting the processing facilities that are needed in the value chain to achieve the objectives. The biomass or bio-product distribution networks around Peninsular Malaysia are also presented in this paper. Several scenarios are discussed to observe the effects on the optimal value chain solutions by manipulating the production level. On the basis of the results, the interactions of the environmentâ??foodâ??energyâ??water nexus are investigated. Therefore, this study can contribute to the improvement of oil palm industry policies while addressing sustainability issues through the proposed value chain model. © 2020 Elsevier Ltd
N1  - cited By 16
AV  - none
ER  -