IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v304y2024ics0360544224018073.html
   My bibliography  Save this article

Biomass-based Brayton-Stirling-AGMD polygeneration for small-scale applications in rural areas

Author

Listed:
  • Campero, Luis A.Choque
  • Wang, Wujun
  • Cardozo, Evelyn
  • Martin, Andrew

Abstract

The lack of access to electricity and clean water still affects a substantial proportion of rural areas worldwide, in particular the global south. This paper presents a sustainable polygeneration system that can provide electricity, heat, and drinking water by using agricultural residues in remote rural areas. This polygeneration system consists of a solid biomass-fueled Brayton-Stirling combined cycle system, a boiler, and an air-gap membrane distillation unit. Four different system operation modes were designed to examine the most ideal configurations for maximizing power output, overall efficiency, and/or clean water production, considering a polygeneration system designed for a rural village with daily demands of 13450 kWh electricity and 7.5 m3 drinking water. A thermodynamic analysis are employed to analyze and compare these modes, each operating under steady state conditions. The highest electricity output, up to 160 kW, while the highest clean water is up to 0.7 m3/h. The fuel consumption can reach 0.9 kWh/kg of solid fuel and provide up to 0.0045 m3 of freshwater. In addition, nonlinear multi-objective optimization is used to meet the power demands of typical day in rural areas by varying the polygeneration operation modes and turbine inlet temperature.

Suggested Citation

  • Campero, Luis A.Choque & Wang, Wujun & Cardozo, Evelyn & Martin, Andrew, 2024. "Biomass-based Brayton-Stirling-AGMD polygeneration for small-scale applications in rural areas," Energy, Elsevier, vol. 304(C).
  • Handle: RePEc:eee:energy:v:304:y:2024:i:c:s0360544224018073
    DOI: 10.1016/j.energy.2024.132033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224018073
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.132033?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Coskun, C. & Oktay, Z. & Ilten, N., 2009. "A new approach for simplifying the calculation of flue gas specific heat and specific exergy value depending on fuel composition," Energy, Elsevier, vol. 34(11), pages 1898-1902.
    2. Timoumi, Youssef & Tlili, Iskander & Ben Nasrallah, Sassi, 2008. "Design and performance optimization of GPU-3 Stirling engines," Energy, Elsevier, vol. 33(7), pages 1100-1114.
    3. Wegener, Moritz & Villarroel Schneider, J. & Malmquist, Anders & Isalgue, Antonio & Martin, Andrew & Martin, Viktoria, 2021. "Techno-economic optimization model for polygeneration hybrid energy storage systems using biogas and batteries," Energy, Elsevier, vol. 218(C).
    4. Salomón, Marianne & Savola, Tuula & Martin, Andrew & Fogelholm, Carl-Johan & Fransson, Torsten, 2011. "Small-scale biomass CHP plants in Sweden and Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4451-4465.
    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. Ferreira, Ana Cristina & Silva, João & Teixeira, Senhorinha & Teixeira, José Carlos & Nebra, Silvia Azucena, 2020. "Assessment of the Stirling engine performance comparing two renewable energy sources: Solar energy and biomass," Renewable Energy, Elsevier, vol. 154(C), pages 581-597.
    2. Chmielewski, Adrian & Gumiński, Robert & Mączak, Jędrzej & Radkowski, Stanisław & Szulim, Przemysław, 2016. "Aspects of balanced development of RES and distributed micro-cogeneration use in Poland: Case study of a µCHP with Stirling engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 930-952.
    3. Pal, Ankit & Ilango, G. Saravana, 2024. "Design and techno-economic analysis of an off-grid integrated PV-biogas system with a constant temperature digester for a cost-effective rural application," Energy, Elsevier, vol. 287(C).
    4. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I., 2013. "Energy trends in Palestinian territories of West Bank and Gaza Strip: Possibilities for reducing the reliance on external energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 117-129.
    5. Shunyong Yin & Jianjun Xia & Yi Jiang, 2020. "Characteristics Analysis of the Heat-to-Power Ratio from the Supply and Demand Sides of Cities in Northern China," Energies, MDPI, vol. 13(1), pages 1-14, January.
    6. Marion, Michaël & Louahlia, Hasna & Gualous, Hamid, 2016. "Performances of a CHP Stirling system fuelled with glycerol," Renewable Energy, Elsevier, vol. 86(C), pages 182-191.
    7. Babaelahi, Mojtaba & Sayyaadi, Hoseyn, 2014. "Simple-II: A new numerical thermal model for predicting thermal performance of Stirling engines," Energy, Elsevier, vol. 69(C), pages 873-890.
    8. Xuejun Qian & Jingwen Xue & Yulai Yang & Seong W. Lee, 2021. "Thermal Properties and Combustion-Related Problems Prediction of Agricultural Crop Residues," Energies, MDPI, vol. 14(15), pages 1-18, July.
    9. Ahmed, Fawad & Zhu, Shunmin & Yu, Guoyao & Luo, Ercang, 2022. "A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine," Energy, Elsevier, vol. 247(C).
    10. Eksi, Guner & Karaosmanoglu, Filiz, 2017. "Combined bioheat and biopower: A technology review and an assessment for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1313-1332.
    11. Xiaomin Wu & Shaoyi Li & Shengfeng Gan & Changhui Hou, 2022. "An Adaptive Energy Optimization Method of Hybrid Battery-Supercapacitor Storage System for Uncertain Demand," Energies, MDPI, vol. 15(5), pages 1-12, February.
    12. Cheng, Chin-Hsiang & Yang, Hang-Suin, 2011. "Analytical model for predicting the effect of operating speed on shaft power output of Stirling engines," Energy, Elsevier, vol. 36(10), pages 5899-5908.
    13. Zare, Sh. & Tavakolpour-Saleh, A.R., 2016. "Frequency-based design of a free piston Stirling engine using genetic algorithm," Energy, Elsevier, vol. 109(C), pages 466-480.
    14. Formosa, Fabien & Fréchette, Luc G., 2013. "Scaling laws for free piston Stirling engine design: Benefits and challenges of miniaturization," Energy, Elsevier, vol. 57(C), pages 796-808.
    15. Ferreira, Ana C. & Nunes, Manuel L. & Teixeira, José C.F. & Martins, Luís A.S.B. & Teixeira, Senhorinha F.C.F., 2016. "Thermodynamic and economic optimization of a solar-powered Stirling engine for micro-cogeneration purposes," Energy, Elsevier, vol. 111(C), pages 1-17.
    16. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    17. Li, Ruijie & Grosu, Lavinia & Li, Wei, 2017. "New polytropic model to predict the performance of beta and gamma type Stirling engine," Energy, Elsevier, vol. 128(C), pages 62-76.
    18. Sánchez, Antonio Santos & Silva, Yuri Lopes & Kalid, Ricardo Araújo & Cohim, Eduardo & Torres, Ednildo Andrade, 2017. "Waste bio-refineries for the cassava starch industry: New trends and review of alternatives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1265-1275.
    19. Mundada, Aishwarya S. & Shah, Kunal K. & Pearce, J.M., 2016. "Levelized cost of electricity for solar photovoltaic, battery and cogen hybrid systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 692-703.
    20. Ni, Mingjiang & Shi, Bingwei & Xiao, Gang & Peng, Hao & Sultan, Umair & Wang, Shurong & Luo, Zhongyang & Cen, Kefa, 2016. "Improved Simple Analytical Model and experimental study of a 100W β-type Stirling engine," Applied Energy, Elsevier, vol. 169(C), pages 768-787.

    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:304:y:2024:i:c:s0360544224018073. 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.