IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v327y2025ics0360544225020699.html

Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm

Author

Listed:
  • Fang, Wei
  • Farouk, Naeim
  • Abed, Azher M.
  • Khalil, Sana Ahmed
  • Abdullaev, Sherzod
  • Alhomayani, Fahad M.
  • Khan, Mohammad Nadeem
  • Bayhan, Zahra
  • Knani, Salah
  • Afzal, Abdul Rahman

Abstract

The optimization of biomass to energy systems using metaheuristic particle swarm optimization (PSO) technique holds great promise for advancing the efficiency, sustainability, and competitiveness of bioenergy production. The importance of this research field lies in its potential to address key challenges in biomass utilization and contribute to achieving global energy and environmental goals. This study employs the metaheuristic PSO technique to optimize banana peel-based combined heat and power systems. Various regression models are developed for response variables and their accuracy is evaluated. R-squared values exceeding 93 % strongly suggests that the independent variables account for a significant portion of the variability in the dependent variables, indicating robust predictive capabilities and high reliability in the models. Different Pareto-front solutions are derived to reach near-optimal conditions to achieve maximum exergy and electrical efficiencies and minimize emission levels (the ratio of the carbon dioxide emission to the outputs of the system). The optimum outcome measures include an electrical efficiency of 27.29 %, exergy efficiency of 19.56 %, and emissions level of 1052 kg/MW. By addressing these research areas, it is possible to advance the development and deployment of efficient, cost-effective, and sustainable biomass-based energy systems to meet the growing global demand for renewable energy by focusing on metaheuristic optimization technique.

Suggested Citation

  • Fang, Wei & Farouk, Naeim & Abed, Azher M. & Khalil, Sana Ahmed & Abdullaev, Sherzod & Alhomayani, Fahad M. & Khan, Mohammad Nadeem & Bayhan, Zahra & Knani, Salah & Afzal, Abdul Rahman, 2025. "Optimizing waste-to-energy conversion of banana peel biomass-based scheme using metaheuristic particle swarm optimization (PSO) algorithm," Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020699
    DOI: 10.1016/j.energy.2025.136427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225020699
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136427?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Tavakoli, Navid & Pourfayaz, Fathollah & Mehrpooya, Mehdi, 2025. "Tri-optimization of cost, power and efficiency of a waste biomass gasification integrated with a molten carbonate fuel cell by a combined approach," Energy, Elsevier, vol. 314(C).
    2. Ahmed, Rasel & Mahadzir, Shuhaimi & Ferdush, Jannatul & Matovu, Fahad & Mota-Babiloni, Adrián & Hafyan, Rendra Hakim, 2024. "Surrogate-assisted constrained hybrid particle swarm optimization algorithm for propane pre-cooled mixed refrigerant LNG process optimization," Energy, Elsevier, vol. 305(C).
    3. Liu, Yi & Xu, Xiao & Liu, Youbo & Liu, Junyong & Hu, Weihao & Yang, Nan & Jawad, Shafqat & Wei, Zhaobin, 2024. "Operational optimization of a rural multi-energy system supported by a joint biomass-solid-waste-energy conversion system and supply chain," Energy, Elsevier, vol. 312(C).
    4. Afzal, Asif & Buradi, Abdulrajak & Jilte, Ravindra & Shaik, Saboor & Kaladgi, Abdul Razak & Arıcı, Muslum & Lee, Chew Tin & Nižetić, Sandro, 2023. "Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Martin Wagner, 2023. "Correction to: Residual-based cointegration and non-cointegration tests for cointegrating polynomial regressions," Empirical Economics, Springer, vol. 65(3), pages 1511-1511, September.
    6. Yang, Mao & Li, Xiangyu & Fan, Fulin & Wang, Bo & Su, Xin & Ma, Chenglian, 2024. "Two-stage day-ahead multi-step prediction of wind power considering time-series information interaction," Energy, Elsevier, vol. 312(C).
    7. Loha, Chanchal & Chattopadhyay, Himadri & Chatterjee, Pradip K., 2011. "Thermodynamic analysis of hydrogen rich synthetic gas generation from fluidized bed gasification of rice husk," Energy, Elsevier, vol. 36(7), pages 4063-4071.
    8. Soleimanpour, Mohammad & Ebrahimi, Masood, 2024. "Energy and exergy analysis of dry and steam external reformers for a power cycle based on biogas-fueled solid oxide fuel cell," Energy, Elsevier, vol. 305(C).
    9. Xu, Hangwei & Wang, Jiangjiang & Zhou, Yuan & Jiang, Haowen, 2024. "Thermodynamic analysis of trigeneration system with controlled thermal-electric ratio by coupling liquefied natural gas cold energy and biomass partial gasification," Energy, Elsevier, vol. 308(C).
    10. Han, Fengwu & Zhao, Yunlong & Zeng, Jianfeng & Zhang, Shengnan & Wu, Tianyu, 2024. "Uncertain parameters adjustable two-stage robust optimization of a rural housing integrated energy system considering biomass on-site utilization," Energy, Elsevier, vol. 296(C).
    11. Li, Zhenghui & Yao, Shunchun & Chen, Da & Li, Longqian & Lu, Zhimin & Liu, Wen & Yu, Zhuliang, 2024. "Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization," Energy, Elsevier, vol. 306(C).
    12. Yin, Linfei & Zhang, Yifan, 2024. "Particle swarm optimization based on data driven for EV charging station siting," Energy, Elsevier, vol. 310(C).
    13. Theogan Logan Pillay & Akshay Kumar Saha, 2024. "A Review of Metaheuristic Optimization Techniques for Effective Energy Conservation in Buildings," Energies, MDPI, vol. 17(7), pages 1-36, March.
    14. da Silva Carvalho, Nayara Tamires & Silveira, Edgar A. & de Paula Protásio, Thiago & Mendoza-Martinez, Clara & Bianchi, Maria Lúcia & Trugilho, Paulo Fernando, 2025. "Optimizing catalytic hydrothermal carbonization of Eucalyptus grandis sawdust for enhanced biomass energy production: Statistical analysis and insights of sustainable carbon-neutral pathways," Energy, Elsevier, vol. 317(C).
    15. Dunlap, J. & Schramski, J.R., 2024. "Energy-systems accounting in industrial-natural systems; An energy analysis of a managed forest ecosystem including food web biomass dynamics," Ecological Modelling, Elsevier, vol. 488(C).
    16. Wang, Yongfeng & Li, Shuguang & Bu sinnah, Zainab Ali & Ghandour, Raymond & Khan, Mohammad Nadeem & Ali, H. Elhosiny, 2024. "Optimizing energy efficiency and emission reduction: Leveraging the power of machine learning in an integrated compressed air energy storage-solid oxide fuel cell system," Energy, Elsevier, vol. 313(C).
    17. Georgios Papazoglou & Pandelis Biskas, 2023. "Review and Comparison of Genetic Algorithm and Particle Swarm Optimization in the Optimal Power Flow Problem," Energies, MDPI, vol. 16(3), pages 1-25, January.
    18. Yan, Caozheng & Abed, Azher M. & Singh, Pradeep Kumar & Li, Xuetao & Zhou, Xiao & Lei, Guoliang & Abdullaev, Sherzod & Elmasry, Yasser & Mahariq, Ibrahim, 2024. "Metaheuristic optimizing energy recovery from plastic waste in a gasification-based system for waste conversion and management," Energy, Elsevier, vol. 312(C).
    19. Yi, Xinning & Lu, Tianguang & Li, Yixiao & Ai, Qian & Hao, Ran, 2025. "Collaborative planning of multi-energy systems integrating complete hydrogen energy chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abouzied, Amr S. & Farouk, Naeim & Shaban, Mohamed & Abed, Azher M. & Alhomayani, Fahad M. & Formanova, Shoira & Khan, Mohammad Nadeem & Alturise, Fahad & Alkhalaf, Salem & Albalawi, Hind, 2025. "Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance," Energy, Elsevier, vol. 322(C).
    2. Yuyi Hu & Bojun Wang & Yanping Yang & Liwei Yang, 2024. "A Novel Approach for Predicting CO 2 Emissions in the Building Industry Using a Hybrid Multi-Strategy Improved Particle Swarm Optimization–Long Short-Term Memory Model," Energies, MDPI, vol. 17(17), pages 1-17, September.
    3. Hooshmandian, Mehrnaz & Derakhshan, Ghasem & Hakimi, Seyed Mehdi & Rezaee Jordehi, Ahmad, 2025. "A two-stage framework for the joint planning and operation of battery-integrated renewable generation in microgrids coupled with energy hubs and electric vehicle parking lots," Energy, Elsevier, vol. 323(C).
    4. Vairagade, Vikrant S. & Bahoria, Boskey & Bangre, Abhishek & Uparkar, Satyajit & Pethe, Yoginee S. & Shelare, Sagar D. & Sharma, Shubham & Bisht, Yashwant Singh & Sharma, Manish & Kulshreshta, Ankur &, 2025. "Multi-criteria decision-making approaches to resource optimization in renewable energy systems," Renewable Energy, Elsevier, vol. 245(C).
    5. Han, Gao & Pan, Haiyang & Liu, Yanming & Li, Qian & Wang, Ping, 2025. "A methodology for integrating hydrogen refueling stations in multi-microgrids and coordination of distribution systems and transmission system," Energy, Elsevier, vol. 322(C).
    6. Yan, Gongxing & Yang, Xiaoqiang & Shaban, Mohamed & Abed, Azher M. & Abdullaev, Sherzod & Alhomayani, Fahad M. & Khan, Mohammad Nadeem & Alkhalaf, Salem & Alturise, Fahad & Albalawi, Hind, 2025. "Artificial intelligence-powered study of a waste-to-energy system through optimization by regression-centered machine learning algorithms," Energy, Elsevier, vol. 320(C).
    7. Wenxian Hu & Xudong Sun & Yating Qin, 2025. "Simulation of a Natural Gas Solid Oxide Fuel Cell System Based on Rated Current Density Input," Energies, MDPI, vol. 18(16), pages 1-20, August.
    8. Iqbal, Sajid & Zhang, Qingyu & Chang, Ming, 2025. "Turning waste to watts: studying tyre pyrolysis oil production supply for electricity generation and net-zero carbon emission with life cycle assessment approach," Energy, Elsevier, vol. 324(C).
    9. Cao, Wenqiang & Yu, Junqi & Ru, Chengyi & Wang, Meng & Wang, Ke, 2025. "A two-stage distributionally robust optimization operation scheduling model for solar PT-PV systems based on integrated load consumption prediction," Energy, Elsevier, vol. 332(C).
    10. Lizárraga-Morazán, Juan Ramón & Picón-Núñez, Martín, 2024. "Optimal design of parabolic through solar collector networks: A design approach for year-round operation," Energy, Elsevier, vol. 306(C).
    11. Wang, Mingtao & Chen, Pengji & Liu, Huanwei, 2024. "Analysis of the performance enhancement of dual-pressure organic flash cycle using a split-flow evaporator and an ejector driven by low-grade energy," Energy, Elsevier, vol. 312(C).
    12. Zhang, Liwen & Liu, TingHao & Xu, Chenzhou & Zhang, Jun & Gao, Yujie & Li, Xin Cheng & Wang, HaoTian & Li, Xin & Mir, Mahdi, 2025. "A risk-averse cooperative framework for neighboring energy hubs under joint carbon, heat and electricity trading market with P2G and renewables," Renewable Energy, Elsevier, vol. 250(C).
    13. Hou, Rui & Zhang, Nachuan & Gao, Wei & Chen, Kang & Liu, Yongqiu, 2023. "Thermodynamic, environmental, and exergoeconomic feasibility analyses and optimization of biomass gasifier-solid oxide fuel cell boosting a doable-flash binary geothermal cycle; a novel trigeneration plant," Energy, Elsevier, vol. 265(C).
    14. Oliveira Rodrigues, Pedro Paulo de & Lamas, Giulia Cruz & Ghesti, Grace F. & Macedo, Lucélia A. & Luz, Sandra M. & Francisco Alves, José Luiz & de Paula Protásio, Thiago & Rousset, Patrick & Silveira,, 2025. "Effect of extractive removal and heating rates on pequi seed torrefaction: A detailed kinetic and predictive study for biofuel production," Energy, Elsevier, vol. 321(C).
    15. Gupta, Saurabh & De, Santanu, 2022. "An experimental investigation of high-ash coal gasification in a pilot-scale bubbling fluidized bed reactor," Energy, Elsevier, vol. 244(PB).
    16. Rafael B. S. Veras & Clóvis B. M. Oliveira & Shigeaki L. de Lima & Osvaldo R. Saavedra & Denisson Q. Oliveira & Felipe M. Pimenta & Denivaldo C. P. Lopes & Audálio R. Torres Junior & Francisco L. A. N, 2023. "Assessing Economic Complementarity in Wind–Solar Hybrid Power Plants Connected to the Brazilian Grid," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    17. Lee, Chien-Chiang & Hussain, Jafar & Mu, Xian, 2024. "Renewable energy and carbon-neutral gaming: A holistic approach to sustainable electricity," Energy, Elsevier, vol. 297(C).
    18. Haltor Mataifa & Senthil Krishnamurthy & Carl Kriger, 2023. "Comparative Analysis of the Particle Swarm Optimization and Primal-Dual Interior-Point Algorithms for Transmission System Volt/VAR Optimization in Rectangular Voltage Coordinates," Mathematics, MDPI, vol. 11(19), pages 1-29, September.
    19. Sugunakar Mamidala & Yellapragada Venkata Pavan Kumar & Rammohan Mallipeddi, 2025. "Revolutionizing Electric Vehicle Charging Stations with Efficient Deep Q Networks Powered by Multimodal Bioinspired Analysis for Improved Performance," Energies, MDPI, vol. 18(7), pages 1-30, March.
    20. Kaoud, Omar G. & Elbassoussi, Muhammad H. & Abido, M.A. & Zubair, Syed M., 2026. "Optimized solar and wind-powered RO systems for sustainable water solutions in Sinai resorts using different optimization techniques," Renewable Energy, Elsevier, vol. 257(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020699. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.