IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v88y2011i2p449-457.html
   My bibliography  Save this article

Design optimization of a polygeneration plant fuelled by natural gas and renewable energy sources

Author

Listed:
  • Rubio-Maya, Carlos
  • Uche-Marcuello, Javier
  • Martínez-Gracia, Amaya
  • Bayod-Rújula, Angel A.

Abstract

A new and systematic procedure to select and size a polygeneration plant fuelled by natural gas, solar energy and gasified biomass is presented in this paper. The proposed procedure is based on the superstructure definition, containing a long list of possible configurations for a polygeneration plant simultaneously producing electricity, heat, cold and fresh water. Based on that superstructure, a mathematical programming model was developed and applied to a Spanish tourist resort. Three key aspects were optimized in the mathematical programming problem: energy savings, greenhouse gases (GHG) emission reduction and economic feasibility. The results show, firstly, that the simultaneous production of electricity, heat, cold and fresh water is reliable upon the established assumptions. Secondly, that today higher economic profitability is yet achieved with only natural gas-based technologies, although higher energy savings and GHG reduction are obtained through the gradual increase of renewable energy sources.

Suggested Citation

  • Rubio-Maya, Carlos & Uche-Marcuello, Javier & Martínez-Gracia, Amaya & Bayod-Rújula, Angel A., 2011. "Design optimization of a polygeneration plant fuelled by natural gas and renewable energy sources," Applied Energy, Elsevier, vol. 88(2), pages 449-457, February.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:2:p:449-457
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(10)00262-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Arcuri, P. & Florio, G. & Fragiacomo, P., 2007. "A mixed integer programming model for optimal design of trigeneration in a hospital complex," Energy, Elsevier, vol. 32(8), pages 1430-1447.
    2. Khan, K. H. & Rasul, M. G. & Khan, M. M. K., 2004. "Energy conservation in buildings: cogeneration and cogeneration coupled with thermal energy storage," Applied Energy, Elsevier, vol. 77(1), pages 15-34, January.
    3. Bruno, Joan Carles & Ortega-López, Víctor & Coronas, Alberto, 2009. "Integration of absorption cooling systems into micro gas turbine trigeneration systems using biogas: Case study of a sewage treatment plant," Applied Energy, Elsevier, vol. 86(6), pages 837-847, June.
    4. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    5. Stassen, H.E., 1995. "Small-Scale Biomass Gasifiers for Heat and Power," Papers 296, World Bank - Technical Papers.
    6. Onovwiona, H.I. & Ugursal, V.I., 2006. "Residential cogeneration systems: review of the current technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(5), pages 389-431, October.
    7. Ruan, Yingjun & Liu, Qingrong & Zhou, Weiguo & Firestone, Ryan & Gao, Weijun & Watanabe, Toshiyuki, 2009. "Optimal option of distributed generation technologies for various commercial buildings," Applied Energy, Elsevier, vol. 86(9), pages 1641-1653, September.
    8. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Distributed multi-generation: A comprehensive view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 535-551, April.
    9. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Analysis of cooling, heating, and power systems based on site energy consumption," Applied Energy, Elsevier, vol. 86(6), pages 928-932, June.
    10. Desideri, Umberto & Proietti, Stefania & Sdringola, Paolo, 2009. "Solar-powered cooling systems: Technical and economic analysis on industrial refrigeration and air-conditioning applications," Applied Energy, Elsevier, vol. 86(9), pages 1376-1386, September.
    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. Jiang-Jiang, Wang & Chun-Fa, Zhang & You-Yin, Jing, 2010. "Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China," Applied Energy, Elsevier, vol. 87(4), pages 1247-1259, April.
    2. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    3. Wang, Yaodong & Huang, Ye & Chiremba, Elijah & Roskilly, Anthony P. & Hewitt, Neil & Ding, Yulong & Wu, Dawei & Yu, Hongdong & Chen, Xiangping & Li, Yapeng & Huang, Jincheng & Wang, Ruzhu & Wu, Jingyi, 2011. "An investigation of a household size trigeneration running with hydrogen," Applied Energy, Elsevier, vol. 88(6), pages 2176-2182, June.
    4. Sahoo, U. & Kumar, R. & Pant, P.C. & Chaudhury, R., 2015. "Scope and sustainability of hybrid solar–biomass power plant with cooling, desalination in polygeneration process in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 304-316.
    5. Fazlollahi, Samira & Mandel, Pierre & Becker, Gwenaelle & Maréchal, Francois, 2012. "Methods for multi-objective investment and operating optimization of complex energy systems," Energy, Elsevier, vol. 45(1), pages 12-22.
    6. Naraharisetti, Pavan Kumar & Karimi, I.A. & Anand, Abhay & Lee, Dong-Yup, 2011. "A linear diversity constraint – Application to scheduling in microgrids," Energy, Elsevier, vol. 36(7), pages 4235-4243.
    7. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    8. Khan, Ershad Ullah & Martin, Andrew R., 2015. "Optimization of hybrid renewable energy polygeneration system with membrane distillation for rural households in Bangladesh," Energy, Elsevier, vol. 93(P1), pages 1116-1127.
    9. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    10. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    11. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    12. Mojica, Jose L. & Petersen, Damon & Hansen, Brigham & Powell, Kody M. & Hedengren, John D., 2017. "Optimal combined long-term facility design and short-term operational strategy for CHP capacity investments," Energy, Elsevier, vol. 118(C), pages 97-115.
    13. Facci, Andrea Luigi & Andreassi, Luca & Ubertini, Stefano, 2014. "Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming," Energy, Elsevier, vol. 66(C), pages 387-400.
    14. Gabriele Loreti & Andrea Luigi Facci & Stefano Ubertini, 2021. "High-Efficiency Combined Heat and Power through a High-Temperature Polymer Electrolyte Membrane Fuel Cell and Gas Turbine Hybrid System," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    15. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
    16. Piacentino, Antonio & Barbaro, Chiara & Cardona, Fabio & Gallea, Roberto & Cardona, Ennio, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method," Applied Energy, Elsevier, vol. 111(C), pages 1204-1221.
    17. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    18. Facci, Andrea L. & Cigolotti, Viviana & Jannelli, Elio & Ubertini, Stefano, 2017. "Technical and economic assessment of a SOFC-based energy system for combined cooling, heating and power," Applied Energy, Elsevier, vol. 192(C), pages 563-574.
    19. Su, Bosheng & Han, Wei & Jin, Hongguang, 2017. "Proposal and assessment of a novel integrated CCHP system with biogas steam reforming using solar energy," Applied Energy, Elsevier, vol. 206(C), pages 1-11.
    20. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.

    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:appene:v:88:y:2011:i:2:p:449-457. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.