Optimal biomass plantation replanting policy using dynamic programming
Optimal utilization of existing cropland can reduce climatic impacts, including those arising from land-use change due to encroachment into pristine ecosystems. This work presents dynamic programming (DP) method to obtain an optimum replanting policy that has minimum CO2 emission over a finite time...
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| Main Authors: | , , , , , |
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| 格式: | text |
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Animo Repository
2016
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| 在線閱讀: | https://animorepository.dlsu.edu.ph/faculty_research/2267 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3266/type/native/viewcontent |
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| 總結: | Optimal utilization of existing cropland can reduce climatic impacts, including those arising from land-use change due to encroachment into pristine ecosystems. This work presents dynamic programming (DP) method to obtain an optimum replanting policy that has minimum CO2 emission over a finite time horizon for commercial agriculture plantations. The periodic replanting of fuel crops is an area of interest, as CO2 emissions and commercial considerations are two important factors that should be balanced in considering the development of a policy. With the development of a DP model, the preceding problem of finding the optimum replanting policy can be solved. A Malaysian oil palm plantation is used as illustrative case study. © 2016 Elsevier Ltd. |
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