IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v176y2007i2p1219-1245.html
   My bibliography  Save this article

Efficient algorithms for combined heat and power production planning under the deregulated electricity market

Author

Listed:
  • Rong, Aiying
  • Lahdelma, Risto

Abstract

No abstract is available for this item.

Suggested Citation

  • Rong, Aiying & Lahdelma, Risto, 2007. "Efficient algorithms for combined heat and power production planning under the deregulated electricity market," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1219-1245, January.
  • Handle: RePEc:eee:ejores:v:176:y:2007:i:2:p:1219-1245
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(05)00706-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. Rong, Aiying & Lahdelma, Risto, 2005. "An efficient linear programming model and optimization algorithm for trigeneration," Applied Energy, Elsevier, vol. 82(1), pages 40-63, September.
    2. Rong, Aiying & Hakonen, Henri & Lahdelma, Risto, 2006. "An efficient linear model and optimisation algorithm for multi-site combined heat and power production," European Journal of Operational Research, Elsevier, vol. 168(2), pages 612-632, January.
    3. Rolfsman, Björn, 2004. "Combined heat-and-power plants and district heating in a deregulated electricity market," Applied Energy, Elsevier, vol. 78(1), pages 37-52, May.
    4. Jeremy A. Bloom, 1983. "Solving an Electricity Generating Capacity Expansion Planning Problem by Generalized Benders' Decomposition," Operations Research, INFORMS, vol. 31(1), pages 84-100, February.
    5. Lahdelma, Risto & Hakonen, Henri, 2003. "An efficient linear programming algorithm for combined heat and power production," European Journal of Operational Research, Elsevier, vol. 148(1), pages 141-151, July.
    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. Rong, Aiying & Lahdelma, Risto, 2007. "An efficient envelope-based Branch and Bound algorithm for non-convex combined heat and power production planning," European Journal of Operational Research, Elsevier, vol. 183(1), pages 412-431, November.
    2. Rong, Aiying & Lahdelma, Risto, 2007. "CO2 emissions trading planning in combined heat and power production via multi-period stochastic optimization," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1874-1895, February.
    3. Rong, Aiying & Lahdelma, Risto & Luh, Peter B., 2008. "Lagrangian relaxation based algorithm for trigeneration planning with storages," European Journal of Operational Research, Elsevier, vol. 188(1), pages 240-257, July.
    4. Rong, Aiying & Lahdelma, Risto & Grunow, Martin, 2009. "An improved unit decommitment algorithm for combined heat and power systems," European Journal of Operational Research, Elsevier, vol. 195(2), pages 552-562, June.
    5. Rong, Aiying & Hakonen, Henri & Lahdelma, Risto, 2008. "A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems," European Journal of Operational Research, Elsevier, vol. 190(3), pages 741-755, November.
    6. Rong, Aiying & Lahdelma, Risto, 2016. "Role of polygeneration in sustainable energy system development challenges and opportunities from optimization viewpoints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 363-372.
    7. Rong, Aiying & Lahdelma, Risto, 2017. "An efficient model and algorithm for the transmission-constrained multi-site combined heat and power system," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1106-1117.
    8. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    9. Podinovski, Victor V. & Kuosmanen, Timo, 2011. "Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions," European Journal of Operational Research, Elsevier, vol. 211(3), pages 577-585, June.
    10. Wang, Haichao & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling & Zhou, Zhigang, 2015. "Modelling and optimization of the smart hybrid renewable energy for communities (SHREC)," Renewable Energy, Elsevier, vol. 84(C), pages 114-123.
    11. Andersen, Anders N. & Østergaard, Poul Alberg, 2019. "Analytic versus solver-based calculated daily operations of district energy plants," Energy, Elsevier, vol. 175(C), pages 333-344.
    12. Monteiro, Eliseu & Moreira, Nuno Afonso & Ferreira, Sérgio, 2009. "Planning of micro-combined heat and power systems in the Portuguese scenario," Applied Energy, Elsevier, vol. 86(3), pages 290-298, March.
    13. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    14. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    15. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    16. Bloess, Andreas, 2020. "Modeling of combined heat and power generation in the context of increasing renewable energy penetration," Applied Energy, Elsevier, vol. 267(C).
    17. 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.
    18. Makkonen, Simo & Lahdelma, Risto, 2006. "Non-convex power plant modelling in energy optimisation," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1113-1126, June.
    19. Giuseppe Pinto & Elnaz Abdollahi & Alfonso Capozzoli & Laura Savoldi & Risto Lahdelma, 2019. "Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating," Energies, MDPI, vol. 12(9), pages 1-19, April.
    20. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.

    More about this item

    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:ejores:v:176:y:2007:i:2:p:1219-1245. 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/locate/eor .

    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.