Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation.
The delineation of the open-pit mining boundary, particularly in the context of medium to long-term planning, forms the foundation of mining design. However, due to the non-linear and dynamic nature of the economic and technical parameters influencing boundary delineation, determining the optimal mi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296932&type=printable |
| _version_ | 1797291689565487104 |
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| author | Shuai Wang Bo Cao Runcai Bai Guangwei Liu |
| author_facet | Shuai Wang Bo Cao Runcai Bai Guangwei Liu |
| author_sort | Shuai Wang |
| collection | DOAJ |
| description | The delineation of the open-pit mining boundary, particularly in the context of medium to long-term planning, forms the foundation of mining design. However, due to the non-linear and dynamic nature of the economic and technical parameters influencing boundary delineation, determining the optimal mining boundary can be exceedingly challenging. Currently, most boundary optimization methods assume that block parameters remain fixed, which results in enterprises assuming a certain level of risk when facing changes in internal and external conditions. In this regard, this paper introduces the concept of "achievement degree" to reflect the risk associated with the results of boundary design. Using coal prices as an example, this article applies the predicted coal price curve to boundary optimization adjustments by specifying the "achievement degree" requirements for various time periods, thereby facilitating risk-controlled and economically optimal boundary decisions. Taking the illustrative case of an idealized small-scale inclined coal seam open-pit mine, adjustments to the boundary closely track variations in coal prices, further enhancing returns. The results demonstrate that the method proposed in this paper can increase overall revenue by approximately 51.15% within the forecast period, while effectively managing risks. |
| first_indexed | 2024-03-07T19:40:25Z |
| format | Article |
| id | doaj.art-31d6d92341ea470fb1c7694dc52e64e8 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-07T19:40:25Z |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-31d6d92341ea470fb1c7694dc52e64e82024-02-29T05:31:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01192e029693210.1371/journal.pone.0296932Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation.Shuai WangBo CaoRuncai BaiGuangwei LiuThe delineation of the open-pit mining boundary, particularly in the context of medium to long-term planning, forms the foundation of mining design. However, due to the non-linear and dynamic nature of the economic and technical parameters influencing boundary delineation, determining the optimal mining boundary can be exceedingly challenging. Currently, most boundary optimization methods assume that block parameters remain fixed, which results in enterprises assuming a certain level of risk when facing changes in internal and external conditions. In this regard, this paper introduces the concept of "achievement degree" to reflect the risk associated with the results of boundary design. Using coal prices as an example, this article applies the predicted coal price curve to boundary optimization adjustments by specifying the "achievement degree" requirements for various time periods, thereby facilitating risk-controlled and economically optimal boundary decisions. Taking the illustrative case of an idealized small-scale inclined coal seam open-pit mine, adjustments to the boundary closely track variations in coal prices, further enhancing returns. The results demonstrate that the method proposed in this paper can increase overall revenue by approximately 51.15% within the forecast period, while effectively managing risks.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296932&type=printable |
| spellingShingle | Shuai Wang Bo Cao Runcai Bai Guangwei Liu Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. PLoS ONE |
| title | Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. |
| title_full | Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. |
| title_fullStr | Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. |
| title_full_unstemmed | Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. |
| title_short | Mid-long term boundary dynamic optimization of open-pit coal mine considering coal price fluctuation. |
| title_sort | mid long term boundary dynamic optimization of open pit coal mine considering coal price fluctuation |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296932&type=printable |
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