Abstract
Recent developments in the palm oil industry have encouraged mill operators to expand downstream operations. In this regard, mill operators have considered implementing green technology systems such as biorefineries. Green technology systems significantly alter the way that an industry operates in order to improve economic performance and sustainability of the plant and can expand the firm’s business portfolio. However, there is a challenge in convincing stakeholders to invest in such systems, especially when the technology is still unproven and/or is uncommon. In this chapter, an integrated approach is presented to determine the allocation of incremental profits for green technology systems such as a palm-based biorefinery (PBB) in a palm-based eco-industrial park (PEIP). The integrated approach presented in this chapter consists of cooperative game theory and stability analysis . The results suggest that the optimal allocation of incremental profits is 14% (US$800,000) for the PBB. Subsequent stability analysis determines that the green technology system with the PBB is economically stable for as long as additional investment costs are within the range of 10–30% of the PBB’s raw material costs.
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Abbreviations
- u :
-
Index for technology systems
- z :
-
Index for coalitions
- w :
-
Index for coalitions with technology u
- \( {\text{GP}}_{{}}^{\text{OVERALL}} \) :
-
Total gross profit of all technology systems u in USD/yr
- \( {\text{GP}}_{u}^{{}} \) :
-
Gross profit of technology system u in USD/yr
- \( {\text{IP}}_{u}^{{}} \) :
-
Incremental profits of technology system u in USD/yr
- \( {\text{IP}}_{z}^{{}} \) :
-
Incremental profits of a technology coalition in USD/yr
- \( {\text{IP}}_{w}^{{}} \) :
-
Incremental profits of a coalition without technology u in USD/yr
- \( C_{u}^{\text{EIP}} \) :
-
Cost of material in technology u from EIP in USD/yr
- \( C_{u}^{\text{Ext}} \) :
-
Cost of material technology u from external facilities in USD/yr
- \( {\text{PA}}_{u}^{{}} \) :
-
Allocation of incremental profits to technology system u in USD/yr
- \( {\text{AI}}_{u}^{{}} \) :
-
Additional investment cost of technology u in USD
- \( cf_{u}^{{}} \) :
-
Fraction of raw material costs in technology u
- \( {\text{DC}}_{u}^{{}} \) :
-
Distribution coefficient of each technology u
- \( {\text{ADC}}_{u}^{{}} \) :
-
Asymmetric distribution coefficient of each technology u
- AOT:
-
Annual operating time in h/yr
- \( {\text{ADC}}_{u}^{\hbox{max} } \) :
-
Maximum limit for asymmetric distribution coefficient of each technology u
- \( {\text{ADC}}_{u}^{\hbox{min} } \) :
-
Minimum limit for asymmetric distribution coefficient of each technology u
- PRu:
-
Product revenue for technology u
- RMCu:
-
Raw material cost for technology u
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Acknowledgements
The financial support from the Ministry of Higher Education, Malaysia through the LRGS Grant (Project Codes: LRGS UPM Vot 5526100 and LRGS/2013/UKM-UNMC/PT/05) are gratefully acknowledged.
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Andiappan, V., Ng, D.K.S., Tan, R.R. (2019). Cooperative Game Theory Analysis for Implementing Green Technologies in Palm Oil Milling Processes. In: Foo, D., Tun Abdul Aziz, M. (eds) Green Technologies for the Oil Palm Industry. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-2236-5_8
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