Optimal biomass plantation replanting policy using dynamic programming

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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Bibliographic Details
Main Authors: Diban, Pitchaimuthu, Abdul Aziz, Mustafa Kamal, Foo, Dominic C. Y., Jia, Xiaoping, Li, Zhiwei, Tan, Raymond Girard R.
Format: text
Published: Animo Repository 2016
Subjects:
Biomass energy
Carbon dioxide mitigation
Land use
Plantations
Energy crops
Chemical Engineering
Online Access: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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Institution: De La Salle University
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Summary: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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