Process simulation and stochastic multiobjective optimisation of homogeneously acid-catalysed microalgal in-situ biodiesel production considering economic and environmental criteria

被引:9
作者
Ahmed, Mukhtar [1 ]
Abdullah, Anas [1 ]
Laskar, Abdullah [2 ]
Patle, Dipesh S. [3 ]
Vo, Dai-Viet N. [1 ,4 ]
Ahmad, Zainal [1 ]
机构
[1] Univ Sains Malaysia, Sch Chem Engn, Engn Campus, Nibong Tebal 14300, Pulau Pinang, Malaysia
[2] Aligarh Muslim Univ, Zakir Hussain Coll Engn & Technol, Dept Petr Studies, Aligarh, Uttar Pradesh, India
[3] Motilal Nehru Natl Inst Technol Allahabad, Chem Engn Dept, Prayagraj 211004, UP, India
[4] Nguyen Tat Thanh Univ, Ctr Excellence Green Energy & Environm Nanomat CE, 300A Nguyen Tat Thanh,Dist 4, Ho Chi Minh City 755414, Vietnam
关键词
Multiobjective optimisation; Non-dominated sorting genetic algorithm (NSGA-II); In-situ transesterification; Algal biodiesel; Total Annualised Cost (TAC); CO2; emissions; SP MJ 11/11; TECHNOECONOMIC ANALYSIS; ENERGY; DESIGN; HETEROSTRUCTURES; BIOMASS;
D O I
10.1016/j.fuel.2022.125165
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The present work aims at the simulation and multiobjective optimisation (MOO) of dry microalgae-based in-situ biodiesel plant, modelled using the Aspen Plus V11. The process optimisation was carried out by excel-based multiobjective optimisation (EMOO) considering the non-dominated sorting genetic algorithm-II (NSGA-II). Economic and environmental criteria were considered for constrained MOO with total annualised cost (TAC), organic wastes, and CO2 emissions as objectives. The statistical trade-offs were analysed by assessing the impacts of the decision variables on the chosen objectives. Firstly, bi-objective optimisation scenarios were studied, and finally, a tri-objective optimisation scenario was investigated. The results imply that the TAC increases with the decrease in organic waste generation and CO2 emissions. The decision-makers will be able to assess the Paretooptimal front to find the preferred optimal solution to enhance plant performance. The first rank solution in the generated Pareto-optimal front was chosen by the net flow method (NFM). Compared to the base case study with a TAC of 69.31 million USD, Scenario A, Scenario B, and Scenario C resulted in an optimal plant operation with a TAC of 62.64 million USD, 61.52 million USD, and 60.23 million USD, respectively, with a saving of 6.67 million USD, 7.79 million USD, and 9.08 million USD respectively. Simultaneous optimisation of all three conflicting objectives yielded significant reductions in TAC (13.1%), organic waste (55%), and CO2 emissions (41%), respectively.
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页数:14
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