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

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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.