IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_110.html
   My bibliography  Save this book chapter

Mathematical Modeling and Simulation Validation in Optimizing Multi-objective Energy Systems Performance

In: Handbook of Smart Energy Systems

Author

Listed:
  • Mohammad Pazouki

    (University of Tehran)

  • Ali Bozorgi-Amiri

    (University of Tehran)

Abstract

This chapter aims to develop a decision framework for finding the best energy retrofit strategy for buildings, which are responsible for a considerable amount of energy consumption around the world. Building energy retrofit can be financially beneficial to the stakeholders and reduce the footprint of human life on the environment. The proposed framework includes essential economic and environmental criteria such as project profitability, maintenance costs, and the energy-saving obtained by renovating the inefficient facilities with better alternatives. The uncertainty of input data is taken into account to reduce the risk of investment and increase the project’s resiliency against possible changes in critical parameters. The framework is also used for a real academic building as a case study, which caused the building to experience a remarkable reduction in the total energy consumption. The framework of this chapter is a generalized model, which helps to get familiar with the process of developing similar frameworks for building energy retrofit analysis. It can also be extended according to the needs of the decision-maker and the circumstances of each project.

Suggested Citation

  • Mohammad Pazouki & Ali Bozorgi-Amiri, 2023. "Mathematical Modeling and Simulation Validation in Optimizing Multi-objective Energy Systems Performance," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 873-894, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_110
    DOI: 10.1007/978-3-030-97940-9_110
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-97940-9_110. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.