TY - JOUR
T1 - Does age matter? A strategic planning model to optimise perennial crops based on cost and discounted carbon value
AU - Rajakal, Jaya Prasanth
AU - Tan, Raymond R.
AU - Andiappan, Viknesh
AU - Wan, Yoke Kin
AU - Pang, Ming Meng
N1 - Funding Information:
The authors would like to acknowledge the financial support by Taylor's University through its grant in Taylor's Ph.D. Scholarship Programme ( TUFR/2017/001/01 ) and also LINDO Systems for providing academic licenses to conduct this research.
Funding Information:
The authors would like to acknowledge the financial support by Taylor's University through its grant in Taylor's Ph.D. Scholarship Programme (TUFR/2017/001/01) and also LINDO Systems for providing academic licenses to conduct this research.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/10/10
Y1 - 2021/10/10
N2 - Many perennial crops are cultivated in large plantation estates by agro-industrial companies. Some of the attributes of perennial crops, like annual variation in yields and time lag from planting to initial yield, create complex challenges in developing land utilisation strategies in plantations. This work develops a mathematical programming model to determine the optimal maturity (age) of the different plantations needed to meet the demand with reduced environmental impacts. The model also determines the corresponding planting period for new plantations, accounting for the yield profile of the perennial crops. Piecewise linearisation technique is used to model the yield profile, thus reducing the model to mixed integer linear programming. The optimisation is carried under two approaches – total cost and discounted carbon value (DCV). The total cost approach aims to determine the planting strategy that results in minimising the capital and operations cost at plantations. The DCV approach aims to delay the peak carbon emissions, thereby reducing the intensity of climate change effects and also buying time for mitigation and adaptive measures. The model developed in this work is illustrated with an oil palm plantation case study, which showed that though the total cost is the same for both the approaches, carbon emissions are 3.28% lower in the DCV result compared to the cost approach.
AB - Many perennial crops are cultivated in large plantation estates by agro-industrial companies. Some of the attributes of perennial crops, like annual variation in yields and time lag from planting to initial yield, create complex challenges in developing land utilisation strategies in plantations. This work develops a mathematical programming model to determine the optimal maturity (age) of the different plantations needed to meet the demand with reduced environmental impacts. The model also determines the corresponding planting period for new plantations, accounting for the yield profile of the perennial crops. Piecewise linearisation technique is used to model the yield profile, thus reducing the model to mixed integer linear programming. The optimisation is carried under two approaches – total cost and discounted carbon value (DCV). The total cost approach aims to determine the planting strategy that results in minimising the capital and operations cost at plantations. The DCV approach aims to delay the peak carbon emissions, thereby reducing the intensity of climate change effects and also buying time for mitigation and adaptive measures. The model developed in this work is illustrated with an oil palm plantation case study, which showed that though the total cost is the same for both the approaches, carbon emissions are 3.28% lower in the DCV result compared to the cost approach.
KW - Carbon emissions
KW - Discounted carbon value
KW - Land use change
KW - Mathematical optimisation
KW - Perennial crops
KW - Yield profile
UR - http://www.scopus.com/inward/record.url?scp=85112592385&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2021.128526
DO - 10.1016/j.jclepro.2021.128526
M3 - Article
AN - SCOPUS:85112592385
SN - 0959-6526
VL - 318
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 128526
ER -