Supply chain optimization of agricultural biomass waste for centralized power generation

Jixiang Zhang, Jun Li, Changqing Dong, Zongming Zheng, Hao Liu

Research output: Contribution to conferencePaper

Abstract

Pre-treatment and storage of agriculture residue are crucial for its supply chain. To investigate the effect of pre-treatment methods (i.e. torrefaction and compaction), the number of storage depot, and power generation technology on supply chain model, this work compared 7 scenarios in order to optimize supply chain model for power generation in China using corn stalk as feedstock. Furthermore, the influential roles of supply chain parameters on power generation profitability will be investigated through sensitivity analysis. It was found that combined heat and power based power generation shows significant profitability compared with electricity generation. The results approved that supply chain model reaches the highest profitability with compaction as pre-treatment method and 9 storage depots. According to sensitivity analysis results, the capital investment cost of power plant is the most influential parameter for supply chain profitability, the followed by is the purchasing price of corn stock residues
Original languageEnglish
Number of pages6
Publication statusAccepted/In press - 3 Jun 2019
EventICAE2019: The 11th International Conference on Applied Energy - Västerås, Sweden
Duration: 12 Aug 201915 Aug 2019
http://www.applied-energy.org/icae2019/

Conference

ConferenceICAE2019: The 11th International Conference on Applied Energy
CountrySweden
CityVästerås
Period12/08/1915/08/19
Internet address

Fingerprint

Supply chains
Power generation
Biomass
Profitability
Sensitivity analysis
Compaction
Purchasing
Agriculture
Feedstocks
Power plants
Electricity
Costs

Keywords

  • agriculture residues
  • pre-treatment
  • supply chain model
  • CHP

Cite this

Zhang, J., Li, J., Dong, C., Zheng, Z., & Liu, H. (Accepted/In press). Supply chain optimization of agricultural biomass waste for centralized power generation. Paper presented at ICAE2019: The 11th International Conference on Applied Energy, Västerås, Sweden.
Zhang, Jixiang ; Li, Jun ; Dong, Changqing ; Zheng, Zongming ; Liu, Hao. / Supply chain optimization of agricultural biomass waste for centralized power generation. Paper presented at ICAE2019: The 11th International Conference on Applied Energy, Västerås, Sweden.6 p.
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abstract = "Pre-treatment and storage of agriculture residue are crucial for its supply chain. To investigate the effect of pre-treatment methods (i.e. torrefaction and compaction), the number of storage depot, and power generation technology on supply chain model, this work compared 7 scenarios in order to optimize supply chain model for power generation in China using corn stalk as feedstock. Furthermore, the influential roles of supply chain parameters on power generation profitability will be investigated through sensitivity analysis. It was found that combined heat and power based power generation shows significant profitability compared with electricity generation. The results approved that supply chain model reaches the highest profitability with compaction as pre-treatment method and 9 storage depots. According to sensitivity analysis results, the capital investment cost of power plant is the most influential parameter for supply chain profitability, the followed by is the purchasing price of corn stock residues",
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author = "Jixiang Zhang and Jun Li and Changqing Dong and Zongming Zheng and Hao Liu",
year = "2019",
month = "6",
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Zhang, J, Li, J, Dong, C, Zheng, Z & Liu, H 2019, 'Supply chain optimization of agricultural biomass waste for centralized power generation' Paper presented at ICAE2019: The 11th International Conference on Applied Energy, Västerås, Sweden, 12/08/19 - 15/08/19, .

Supply chain optimization of agricultural biomass waste for centralized power generation. / Zhang, Jixiang; Li, Jun; Dong, Changqing; Zheng, Zongming; Liu, Hao.

2019. Paper presented at ICAE2019: The 11th International Conference on Applied Energy, Västerås, Sweden.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Supply chain optimization of agricultural biomass waste for centralized power generation

AU - Zhang, Jixiang

AU - Li, Jun

AU - Dong, Changqing

AU - Zheng, Zongming

AU - Liu, Hao

PY - 2019/6/3

Y1 - 2019/6/3

N2 - Pre-treatment and storage of agriculture residue are crucial for its supply chain. To investigate the effect of pre-treatment methods (i.e. torrefaction and compaction), the number of storage depot, and power generation technology on supply chain model, this work compared 7 scenarios in order to optimize supply chain model for power generation in China using corn stalk as feedstock. Furthermore, the influential roles of supply chain parameters on power generation profitability will be investigated through sensitivity analysis. It was found that combined heat and power based power generation shows significant profitability compared with electricity generation. The results approved that supply chain model reaches the highest profitability with compaction as pre-treatment method and 9 storage depots. According to sensitivity analysis results, the capital investment cost of power plant is the most influential parameter for supply chain profitability, the followed by is the purchasing price of corn stock residues

AB - Pre-treatment and storage of agriculture residue are crucial for its supply chain. To investigate the effect of pre-treatment methods (i.e. torrefaction and compaction), the number of storage depot, and power generation technology on supply chain model, this work compared 7 scenarios in order to optimize supply chain model for power generation in China using corn stalk as feedstock. Furthermore, the influential roles of supply chain parameters on power generation profitability will be investigated through sensitivity analysis. It was found that combined heat and power based power generation shows significant profitability compared with electricity generation. The results approved that supply chain model reaches the highest profitability with compaction as pre-treatment method and 9 storage depots. According to sensitivity analysis results, the capital investment cost of power plant is the most influential parameter for supply chain profitability, the followed by is the purchasing price of corn stock residues

KW - agriculture residues

KW - pre-treatment

KW - supply chain model

KW - CHP

M3 - Paper

ER -

Zhang J, Li J, Dong C, Zheng Z, Liu H. Supply chain optimization of agricultural biomass waste for centralized power generation. 2019. Paper presented at ICAE2019: The 11th International Conference on Applied Energy, Västerås, Sweden.