IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v41y2012i1p31-37.html
   My bibliography  Save this article

Optimal sizing of a solar thermal building installation using particle swarm optimization

Author

Listed:
  • Bornatico, Raffaele
  • Pfeiffer, Michael
  • Witzig, Andreas
  • Guzzella, Lino

Abstract

In recent years the domestic energy management has become a non-trivial task as the number of energy sources and system components involved have increased, and all components have to operate coordinately in order to maximize global efficiency measures.

Suggested Citation

  • Bornatico, Raffaele & Pfeiffer, Michael & Witzig, Andreas & Guzzella, Lino, 2012. "Optimal sizing of a solar thermal building installation using particle swarm optimization," Energy, Elsevier, vol. 41(1), pages 31-37.
    • Handle: RePEc:eee:energy:v:41:y:2012:i:1:p:31-37
    DOI: 10.1016/j.energy.2011.05.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544211003513
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2011.05.026?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fux, Samuel F. & Benz, Michael J. & Guzzella, Lino, 2013. "Economic and environmental aspects of the component sizing for a stand-alone building energy system: A case study," Renewable Energy, Elsevier, vol. 55(C), pages 438-447.
    2. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
    3. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    4. Rey, Anthony & Zmeureanu, Radu, 2018. "Multi-objective optimization framework for the selection of configuration and equipment sizing of solar thermal combisystems," Energy, Elsevier, vol. 145(C), pages 182-194.
    5. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    6. Bram van der Heijde & Annelies Vandermeulen & Robbe Salenbien & Lieve Helsen, 2019. "Integrated Optimal Design and Control of Fourth Generation District Heating Networks with Thermal Energy Storage," Energies, MDPI, vol. 12(14), pages 1-34, July.
    7. Eisapour, Amir Hossein & Eisapour, M. & Hosseini, M.J. & Shafaghat, A.H. & Talebizadeh Sardari, P. & Ranjbar, A.A., 2021. "Toward a highly efficient photovoltaic thermal module: Energy and exergy analysis," Renewable Energy, Elsevier, vol. 169(C), pages 1351-1372.
    8. Ashouri, Araz & Petrini, Flavio & Bornatico, Raffaele & Benz, Michael J., 2014. "Sensitivity analysis for robust design of building energy systems," Energy, Elsevier, vol. 76(C), pages 264-275.
    9. Ashouri, Araz & Fux, Samuel S. & Benz, Michael J. & Guzzella, Lino, 2013. "Optimal design and operation of building services using mixed-integer linear programming techniques," Energy, Elsevier, vol. 59(C), pages 365-376.
    10. Bornatico, Raffaele & Hüssy, Jonathan & Witzig, Andreas & Guzzella, Lino, 2013. "Surrogate modeling for the fast optimization of energy systems," Energy, Elsevier, vol. 57(C), pages 653-662.
    11. Buonomano, Annamaria & Calise, Francesco & Dentice d'Accadia, Massimo & Vanoli, Laura, 2013. "A novel solar trigeneration system based on concentrating photovoltaic/thermal collectors. Part 1: Design and simulation model," Energy, Elsevier, vol. 61(C), pages 59-71.
    12. Breen, M. & Murphy, M.D. & Upton, J., 2019. "Development of a dairy multi-objective optimization (DAIRYMOO) method for economic and environmental optimization of dairy farms," Applied Energy, Elsevier, vol. 242(C), pages 1697-1711.
    13. Calise, Francesco & Dentice d'Accadia, Massimo & Palombo, Adolfo & Vanoli, Laura, 2013. "Dynamic simulation of a novel high-temperature solar trigeneration system based on concentrating photovoltaic/thermal collectors," Energy, Elsevier, vol. 61(C), pages 72-86.
    14. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    15. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    16. Myeong Jin Ko, 2015. "Multi-Objective Optimization Design for Indirect Forced-Circulation Solar Water Heating System Using NSGA-II," Energies, MDPI, vol. 8(11), pages 1-25, November.
    17. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    18. Bahria, Sofiane & Amirat, Madjid & Hamidat, Abderrahmen & El Ganaoui, Mohammed & El Amine Slimani, Mohamed, 2016. "Parametric study of solar heating and cooling systems in different climates of Algeria – A comparison between conventional and high-energy-performance buildings," Energy, Elsevier, vol. 113(C), pages 521-535.
    19. Myeong Jin Ko, 2015. "A Novel Design Method for Optimizing an Indirect Forced Circulation Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-26, October.
    20. Alaia Sola & Cristina Corchero & Jaume Salom & Manel Sanmarti, 2018. "Simulation Tools to Build Urban-Scale Energy Models: A Review," Energies, MDPI, vol. 11(12), pages 1-24, November.

    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:41:y:2012:i:1:p:31-37. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.