oil palm biomass
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2022 ◽  
pp. 493-514
Author(s):  
Suraini Abd‐Aziz ◽  
Mohd Azwan Jenol ◽  
Illy Kamaliah Ramle
Keyword(s):  
Oil Palm ◽  

2022 ◽  
pp. 307-324
Author(s):  
Mohamad Faizal Ibrahim ◽  
Nor A. Shaharuddin ◽  
Nurul H. Alias ◽  
Mohd A. Jenol ◽  
Suraini Abd‐Aziz ◽  
...  
Keyword(s):  
Oil Palm ◽  

2022 ◽  
pp. 221-237
Author(s):  
Jeong Eun Hyeon ◽  
Sung Ok Han
Keyword(s):  
Oil Palm ◽  

2022 ◽  
pp. 325-343
Author(s):  
Z. Nahrul Hayawin ◽  
Juferi Idris
Keyword(s):  
Oil Palm ◽  

2022 ◽  
pp. 481-503
Author(s):  
Soh Kheang Loh ◽  
Harrison Lik Nang Lau ◽  
Jalil Nursyairah ◽  
Daryl Jay Thaddeus ◽  
Vijaya Subramaniam

2022 ◽  
pp. 249-275
Author(s):  
Shuhaida Harun ◽  
Abdullah Amru Indera Luthfi ◽  
Peer Mohamed Abdul ◽  
Nurul Adela Bukhari ◽  
Jamaliah Md Jahim

2022 ◽  
pp. 505-534
Author(s):  
Soh Kheang Loh ◽  
Abu Bakar Nasrin ◽  
Mohamad Azri Sukiran ◽  
Nurul Adela Bukhari ◽  
Vijaya Subramaniam

2021 ◽  
Vol 2120 (1) ◽  
pp. 012001
Author(s):  
Chee Yau Hew ◽  
Li Wan Yoon ◽  
Yoke Kin Wan

Abstract The huge amount of biomass waste and palm oil mill effluent (POME) generated during oil extraction has prompted the need for a more sustainable framework in waste management. Since oil palm biomass waste is rich in lignocellulosic content, it can be potential to be converted into green energy such as bioelectricity via different pathway of processes such as the thermal conversion pathway and biochemical conversion pathway. This study proposes a mathematical approach to synthesise a sustainable supply chain of biomass to electricity by implementing the combined heat and power (CHP) system in palm oil mill. The optimum pathway of supply chain based on the technical, economical, and environmental aspects is generated. The purpose of this approach is to assists the industry players or owners to make decision in choosing the location of the pre-treatment technology, transportation method, location of power plant and configuration of CHP. A generic superstructure is first developed to achieve the objective. Then, a series of generic mathematical equations will then be formulated based on the pathways demonstrated in the generic superstructure. The mathematical equations involve general mass and energy balance, cost computation and carbon emission. The fuzzy optimisation concept will be adopted in this research to trade-off the conflicting objectives (maximize profit and minimize carbon footprint) in order to generate the optimum pathway. A palm oil-based bioelectricity supply chain case study in Selangor, Malaysia is solved to illustrate the presented approach. According to the optimised result in this case study, a total of 3,753.36 MW of bioelectricity can be generated per year. The result proved that the optimum pathway is feasible by comparing with the existing oil palm biomass-based power plant in Sarawak, where only 375 MW of electricity is generated by oil palm biomass. On the other hand, RM 7.25 million per year of net profit is estimated with a payback period of 2.81 years. Moreover, the CHP system is able to achieve 570 million kg CO2 per year.


2021 ◽  
Vol 1192 (1) ◽  
pp. 012028
Author(s):  
N H S Jafri ◽  
D N Jimat ◽  
N F M Azmin ◽  
S Sulaiman ◽  
Y A Nor

Abstract The oil palm industry is known as the primary producer of biomass in Malaysia. The massive production of oil palm biomass has resulted in a significant waste disposal problem. This study aims to assess the potential of waste derived from oil palm plantations and processing mills to be transformed into value-added products for various applications. The study was conducted on three oil palm estates managed by Boustead Rimba Nilai Berhad using data on the generation rates of fresh fruit bunches (FFB), crude palm oil (CPO), and oil palm biomass waste from 2018 to 2020. The availability of FFB, CPO, empty fruit bunches (EFB) and excess fibers, and palm oil mill effluents (POME) in 2030 was predicted using a forecasting approach, with trend analysis as the tool of choice. From 2018 to 2020, the output of FFB, EFB and excess fibers, as well as POME grew by 16%, 14%, 23%, and 14% respectively. Based on trend analysis, the projection of FFB, CPO, EFB and excess fibers, and POME outputs in 2030 is expected to be 80%, 56%, 92%, and 56% respectively, which are greater than the figures recorded in 2020. The state of the palm oil industry in Malaysia was described in this study and also highlighted the potential of oil palm biomass in various industries and as a source of green energy. Oil palm biomass can be commercialized in a wide range of value-added products.


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