IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Optimal household energy management and economic analysis: from sizing to operation scheduling

  • T.T. Ha Pham

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Institut Polytechnique de Grenoble - Grenoble Institute of Technology - CNRS)

  • Cédric Clastres


    (LEPII-EDDEN - équipe EDDEN - LEPII - Laboratoire d'Économie de la Production et de l'Intégration Internationale - CNRS - Grenoble 2 UPMF - Université Pierre Mendès France)

  • F. Wurtz

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Institut Polytechnique de Grenoble - Grenoble Institute of Technology - CNRS)

  • S. Bacha

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - UJF - Université Joseph Fourier - Institut Polytechnique de Grenoble - Grenoble Institute of Technology - CNRS)

  • Éric Zamaï


    (G-SCOP_GCSP - GCSP - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Institut National Polytechnique de Grenoble (INPG) - CNRS)

Registered author(s):

    The study presented in this paper takes part in a project aiming to increase the value of solar production for residential application with a medium-term vision where preferential solar energy subsidies will decrease before to disappear. This study is dedicated to propose and develop optimal energy architecture at supply side, a multi-source system based on photovoltaic (PV) solar energy connecting to main electrical network, taking further into account the effectiveness of intelligent demand side management. To investigate this issue, a method of optimal supplying system sizing and household energy management has been developed. This method, which has been formulated employing Mix Integer Linear Programming (MILP), enables the calculation of the appropriate configuration for power supply system and the optimal operation control to be applied. Using a Net Present Value (NPV) and Probability Index (P.I) basis, the economic analysis allows estimation of the viability of the proposed system under different factors of influence such as renewable energy policies, technology evolutions leading to cheaper installed PV module cost and deregulated electricity market. Simulation results show that, the solution makes it possible for PV power to be significantly valued by the customers without subsidized measures.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by HAL in its series Post-Print with number halshs-00323581.

    in new window

    Date of creation: 2010
    Date of revision:
    Publication status: Published in Advances and Applications in Mechanical Engineering and Technology, 2010, 1 (1), pp.35-68
    Handle: RePEc:hal:journl:halshs-00323581
    Note: View the original document on HAL open archive server:
    Contact details of provider: Web page:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Sáenz de Miera, Gonzalo & del Ri­o González, Pablo & Vizcaino, Ignacio, 2008. "Analysing the impact of renewable electricity support schemes on power prices: The case of wind electricity in Spain," Energy Policy, Elsevier, vol. 36(9), pages 3345-3359, September.
    2. Lise, Wietze & Kruseman, Gideon, 2008. "Long-term price and environmental effects in a liberalised electricity market," Energy Economics, Elsevier, vol. 30(2), pages 230-248, March.
    3. Fernández-Infantes, Alberto & Contreras, Javier & Bernal-Agustín, José L., 2006. "Design of grid connected PV systems considering electrical, economical and environmental aspects: A practical case," Renewable Energy, Elsevier, vol. 31(13), pages 2042-2062.
    4. Hernández, J.C. & Vidal, P.G. & Almonacid, G., 1998. "Photovoltaic in grid-connected buildings, sizing and economic analysis," Renewable Energy, Elsevier, vol. 15(1), pages 562-565.
    5. Bernal-Agustín, José L. & Dufo-López, Rodolfo, 2006. "Economical and environmental analysis of grid connected photovoltaic systems in Spain," Renewable Energy, Elsevier, vol. 31(8), pages 1107-1128.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00323581. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.