IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v383y2025ics0306261925001060.html
   My bibliography  Save this article

Characterizing effective building clusters: An extensive study on diverse cluster composition, distributed energy resource utilization, and energy performance

Author

Listed:
  • Kaminski, Gregory
  • Odonkor, Philip

Abstract

Distributed energy resources (DERs) hold immense potential for urban sustainability and resilience. However, effectively integrating DERs across diverse building types remains a challenge. The concept of “building clusters,” groups of buildings with shared energy generation and storage resources, has emerged as a promising way to better utilize these DERs. Using validated synthetic building load data and multi-dimensional performance metrics, this study investigates the impact of building cluster composition on energy performance, advocating for a shift from conventional homogeneous cluster design. We analyze a vast dataset of over 15,000 unique five-building clusters, encompassing 16 distinct building types, each equipped with solar PV and storage. Using a multi-metric ranking system, we evaluate and rank cluster energy performance based on grid independence, energy cost reduction, and DER utilization efficiency. Our findings reveal that building type diversity significantly enhances cluster performance, outweighing traditionally emphasized factors such as total building area. High-performing clusters exhibit complementary load profiles across daily and seasonal timescales, enabling more efficient utilization of shared DER resources. Notably, strategic combinations of buildings with contrasting operational patterns (e.g., schools and office buildings) demonstrate superior year-round performance and grid independence. This study offers vital insights for urban planners and energy designers, highlighting the importance of prioritizing strategic diversity in building clusters over traditional homogeneity to maximize the potential of DERs. Its insights can provide an empirical foundation for zoning policies and incentives that promote mixed-use communities, which naturally support high-performing DER-integrated clusters. While focused on New York, the findings provide a foundation for broader applications in urban energy systems.

Suggested Citation

  • Kaminski, Gregory & Odonkor, Philip, 2025. "Characterizing effective building clusters: An extensive study on diverse cluster composition, distributed energy resource utilization, and energy performance," Applied Energy, Elsevier, vol. 383(C).
  • Handle: RePEc:eee:appene:v:383:y:2025:i:c:s0306261925001060
    DOI: 10.1016/j.apenergy.2025.125376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925001060
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.125376?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.

    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:383:y:2025:i:c:s0306261925001060. 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.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.