Process Integration Tools for Optimal Allocation of Palm Biomass
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4847-3_7
Reference9 articles.
1. Foo, D. C. Y. (2022). A novel graphical targeting technique for optimal allocation of biomass resources. Processes, 10(5), 905. https://doi.org/10.3390/pr10050905
2. Foo, D. C. Y. (2019). A simple mathematical model for palm biomass supply chain. In D. Foo & M. Aziz (Eds.), Green technologies for the oil palm industry (pp. 115–130). Springer. https://doi.org/10.1007/978-981-13-2236-5_6
3. Foo, D. C. Y., Tan, R. R., Lam, H. L., Abdul Aziz, M. K., & Klemeš, J. J. (2013). Robust models for the synthesis of flexible palm oil-based regional bioenergy supply chain. Energy, 55, 68–73. https://doi.org/10.1016/j.energy.2013.01.045
4. International Energy Agency, I. (2021). Global energy review 2021 [WWW Document]. Global Energy Review 2021. https://www.iea.org/reports/global-energy-review-2021
5. Ng, T. L., & Ng, D. K. S. (2013). Systematic approach for synthesis of integrated palm oil processing complex. Part 1: Single owner. Industrial & Engineering Chemistry Research, 52, 10206–10220. https://doi.org/10.1021/ie302926q
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