• Login
    View Item 
    •   Home
    • Theses & Dissertations
    • 2021 - Mines Theses & Dissertations
    • View Item
    •   Home
    • Theses & Dissertations
    • 2021 - Mines Theses & Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Mines RepositoryCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjects

    My Account

    Login

    Mines Links

    Arthur Lakes LibraryColorado School of Mines

    Statistics

    Display Statistics

    Modeling and solving large-scale optimization problems: case studies in renewable energy and mining

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Ogunmodede_mines_0052E_12136.pdf
    Size:
    3.408Mb
    Format:
    PDF
    Download
    Author
    Ogunmodede, Oluwaseun B.
    Advisor
    Newman, Alexandra M.
    Bogin, Gregory E.
    Date issued
    2021
    Keywords
    efficient formulation
    optimization modeling
    underground mining production scheduling
    mixed integer programming
    dispatch optimization
    renewable energy
    
    Metadata
    Show full item record
    URI
    https://hdl.handle.net/11124/176440
    Abstract
    Large-scale optimization modeling is becoming more prevalent in industry practices.As computational hardware and software continue to improve, the problems practitioners attempt to solve increase in complexity. We explain in detail how to improve the tractability and efficiency of large-scale models with the use of the following techniques: (i) Data management, (ii) efficient formulations, (iii) numerical analysis, (iv) heuristics, (v) specialized algorithms, and (vi) decomposition techniques. We apply these techniques to real-world problems in heavy-industry applications: renewable-energy and mining. The former consists of a design and dispatch model that incorporates renewable energy technologies, combined heat and power, and conventional generation. The latter is an underground production scheduling model that considers ventilation and refrigeration while managing heat load output. We highlight the importance and benefits of the modeling techniques in each of the applications, and discuss improvements with respect to the applications we model. The energy application exhibits savings of millions of dollars using an optimized solution. The underground production scheduling model admits feasible solutions where they had not previously been generated. In both applications, we significantly expedite solutions, allowing for optimization approaches to be used where they would otherwise be considered too slow for operational use.
    Rights
    Copyright of the original work is retained by the author.
    Collections
    2021 - Mines Theses & Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.