Statistics-based Yield Estimation Model for Designing Integrated Plant Resource Utilization System Considering Interannual Meteorological Variances: Implications from Case Studies on Combined Sugar-ethanol Production from Sugarcane

DOI Web Site Web Site 18 References

Bibliographic Information

Other Title
  • 気象要因を考慮した植物資源利用システム設計のための単収予測統計モデル：サトウキビからの砂糖・エタノール複合生産システムへの適用事例
  • キショウ ヨウイン オ コウリョ シタ ショクブツ シゲン リヨウ システム セッケイ ノ タメ ノ タンシュウヨソク トウケイ モデル : サトウキビ カラ ノ サトウ ・ エタノール フクゴウ セイサン システム エ ノ テキヨウ ジレイ

Search this article

Abstract

<p>In the recently proposed integrated approach for designing the entire agro-industrial process, there has been a lack of consideration on interannual meteorological variability consequences on production for particular plant cultivars/varieties grown at a specific region. In this study, we discuss how this shortcoming influences the simulation of productivity and GHG emission using a case study on two sugarcane cultivars and their processing system producing raw sugar and bioethanol. We also explore if consideration of interannual weather variability is possible by widely available meteorological data. From the results, we confirmed that it was possible to construct a modified multiple linear regression model that reflect the interannual variability of meteorological conditions from commonly available data sets without any additional data collection requirement, and that the productivity and GHG emission results derived by the simulation with and without such enhancement may disagree in some cases.</p>

Journal

References(18)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top