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Minimising carbon footprint of regional biomass supply chains

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  • Lam, Hon Loong
  • Varbanov, Petar
  • Klemeš, Jiří

Abstract

A new method for regional energy targeting and supply chain synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters by using the developed Regional Energy Clustering (REC) algorithm. The REC targets aim at minimising the system carbon footprint (CFP). The biomass energy supply and management are targeted using new graphical representations. Regional Energy Surplus–Deficit Curves (RESDC) visualises the formation and the sizes of introduced energy clusters. Regional Resource Management Composite Curve (RRMCC) an analogy of the Process Integration approach shows the energy imbalances helping in trading-off resources management. These graphical tools provide straightforward information of how to manage the surplus resources (biomass and land use) in a region.

Suggested Citation

  • Lam, Hon Loong & Varbanov, Petar & Klemeš, Jiří, 2010. "Minimising carbon footprint of regional biomass supply chains," Resources, Conservation & Recycling, Elsevier, vol. 54(5), pages 303-309.
    • Handle: RePEc:eee:recore:v:54:y:2010:i:5:p:303-309
    DOI: 10.1016/j.resconrec.2009.03.009
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    References listed on IDEAS

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    2. Zahraee, Seyed Mojib & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2022. "Application of geographical information system and agent-based modeling to estimate particle-gaseous pollutantemissions and transportation cost of woody biomass supply chain," Applied Energy, Elsevier, vol. 309(C).
    3. Fernando, Yudi & Hor, Wei Lin, 2017. "Impacts of energy management practices on energy efficiency and carbon emissions reduction: A survey of malaysian manufacturing firms," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 62-73.
    4. Zhao, Guanhan & Jiang, Peng & Zhang, Hao & Li, Lin & Ji, Tuo & Mu, Liwen & Lu, Xiaohua & Zhu, Jiahua, 2024. "Mapping out the regional low-carbon and economic biomass supply chain by aligning geographic information systems and life cycle assessment models," Applied Energy, Elsevier, vol. 369(C).
    5. Luís Oscar Silva Martins & Roberto Antônio Fortuna Carneiro & Ednildo Andrade Torres & Marcelo Santana Silva & Eleni Iacovidou & Fábio Matos Fernades & Gaudêncio Mendonça Freires, 2024. "Supply Chain Management of Biomass for Energy Generation: A Critical Analysis of Main Trends," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(13), pages 253-253, April.
    6. Fan, Yee Van & Romanenko, Sergey & Gai, Limei & Kupressova, Ekaterina & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2021. "Biomass integration for energy recovery and efficient use of resources: Tomsk Region," Energy, Elsevier, vol. 235(C).
    7. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).

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