Optimal biomass plantation replanting policy using dynamic programming

• 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
• Institution: De La Salle University

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.