TY - JOUR
T1 - Multiple biogenic waste valorization via pyrolysis technologies in palm oil industry
T2 - economic and environmental multi-objective optimization for sustainable energy system
AU - Teh, Khai Chyi
AU - Tan, Jully
AU - Chew, Irene Mei Leng
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/8
Y1 - 2023/8
N2 - Agricultural biomass is one of the major wastes in the world. Most of these wastes end up in landfills and incineration, causing significant environmental problems that are detrimental to human health and other species on the Earth. Thermochemical conversion can solve this issue by utilizing the energy embedded inside the biomass, mainly organic matter, into high-grade fuels and chemicals. Fast pyrolysis is one of the technologies that can convert biomass waste to a high yield of bio-oil, which can then be used as biofuels in vehicles. In this study, palm oil biomass wastes are valorized to generate bio-oil sustainably via several pyrolysis technologies such as conventional pyrolysis, microwave pyrolysis, and thermo-catalytic pyrolysis in a multi-objective optimization framework. The formulated multi-objective mixed-integer linear programming problems are solved using the ɛ-constraint method. The Pareto-optimal solutions have illustrated a clear trade-off between two conflicting objectives: total annualized profit and the global warming potential. The most profitable solution economically has an annualized profit of $237 per ton of biomass with an emission of 628 kg CO2 equivalent per ton of biomass. On the other hand, the most environmentally sustainable solution, while still generating positive income, has an annualized profit of $122 per ton of biomass with an emission of 132 kg CO2 equivalent per ton of biomass. A second scenario with a case study presented on the palm oil industry in Malaysia has also demonstrated the selection of biomass during feedstock blending when a constraint on biomass feedstock availability is pre-defined. The proposed model is robust for planning bioenergy complex, especially those involving multiple biomass feedstocks. In fact, this study has addressed the research gap in comparison of multiple distinctive pyrolysis processes with respect to multiple palm biomass feedstocks.
AB - Agricultural biomass is one of the major wastes in the world. Most of these wastes end up in landfills and incineration, causing significant environmental problems that are detrimental to human health and other species on the Earth. Thermochemical conversion can solve this issue by utilizing the energy embedded inside the biomass, mainly organic matter, into high-grade fuels and chemicals. Fast pyrolysis is one of the technologies that can convert biomass waste to a high yield of bio-oil, which can then be used as biofuels in vehicles. In this study, palm oil biomass wastes are valorized to generate bio-oil sustainably via several pyrolysis technologies such as conventional pyrolysis, microwave pyrolysis, and thermo-catalytic pyrolysis in a multi-objective optimization framework. The formulated multi-objective mixed-integer linear programming problems are solved using the ɛ-constraint method. The Pareto-optimal solutions have illustrated a clear trade-off between two conflicting objectives: total annualized profit and the global warming potential. The most profitable solution economically has an annualized profit of $237 per ton of biomass with an emission of 628 kg CO2 equivalent per ton of biomass. On the other hand, the most environmentally sustainable solution, while still generating positive income, has an annualized profit of $122 per ton of biomass with an emission of 132 kg CO2 equivalent per ton of biomass. A second scenario with a case study presented on the palm oil industry in Malaysia has also demonstrated the selection of biomass during feedstock blending when a constraint on biomass feedstock availability is pre-defined. The proposed model is robust for planning bioenergy complex, especially those involving multiple biomass feedstocks. In fact, this study has addressed the research gap in comparison of multiple distinctive pyrolysis processes with respect to multiple palm biomass feedstocks.
KW - Biogenic waste
KW - Biomass
KW - Multi-objective optimization
KW - Palm oil
KW - Pyrolysis
KW - Waste-to-energy
UR - http://www.scopus.com/inward/record.url?scp=85151148899&partnerID=8YFLogxK
U2 - 10.1007/s41660-023-00327-w
DO - 10.1007/s41660-023-00327-w
M3 - Article
AN - SCOPUS:85151148899
SN - 2509-4238
VL - 7
SP - 847
EP - 860
JO - Process Integration and Optimization for Sustainability
JF - Process Integration and Optimization for Sustainability
ER -