Optimal biomass plantation replanting policy using dynamic programming

Authors

Pitchaimuthu Diban, The University of Nottingham Malaysia Campus
Mustafa Kamal Abdul Aziz, The University of Nottingham Malaysia Campus
Dominic C. Y. Foo, The University of Nottingham Malaysia Campus
Xiaoping Jia, Qingdao University of Science and Technology
Zhiwei Li, Qingdao University of Science and Technology
Raymond Girard R. Tan, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Journal of Cleaner Production

Volume

126

First Page

409

Last Page

418

Publication Date

7-10-2016

Abstract

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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Digitial Object Identifier (DOI)

10.1016/j.jclepro.2016.03.097

Recommended Citation

Diban, P., Abdul Aziz, M., Foo, D. Y., Jia, X., Li, Z., & Tan, R. R. (2016). Optimal biomass plantation replanting policy using dynamic programming. Journal of Cleaner Production, 126, 409-418. https://doi.org/10.1016/j.jclepro.2016.03.097

Disciplines

Chemical Engineering

Keywords

Biomass energy; Carbon dioxide mitigation; Land use; Plantations; Energy crops

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