TY - CHAP
T1 - Application of CAPE Tools into Prospective Life Cycle Assessment
T2 - A Case Study in Recycling Systems Design of Lithium-Ion Battery
AU - Kikuchi, Yasunori
AU - Heiho, Aya
AU - Dou, Yi
AU - Suwa, Izuru
AU - Tokoro, Chiharu
N1 - Funding Information:
This work was supported by MEXT/JSPS KAKENHI Grant Number JP21H03660 and JST-Mirai Program Grant Number JPMJMI19C7. Activities of the Presidential Endowed Chair for “Platinum Society” at the University of Tokyo are supported by the KAITEKI Institute Incorporated, Mitsui Fudosan Corporation, Shin-Etsu Chemical Co., ORIX Corporation, Sekisui House, Ltd., the East Japan Railway Company, and Toyota Tsusho Corporation.
Funding Information:
This work was supported by MEXT/JSPS KAKENHI Grant Number JP21H03660 and JST-Mirai Program Grant Number JPMJMI19C7. Activities of the Presidential Endowed Chair for “Platinum Society” at the University of Tokyo are supported by the KAITEKI Institute Incorporated, Mitsui Fudosan Corporation, Shin-Etsu Chemical Co. ORIX Corporation, Sekisui House, Ltd. the East Japan Railway Company, and Toyota Tsusho Corporation.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/1
Y1 - 2022/1
N2 - In this study, we are tackling systems design with assessments for emerging technologies. Because of the data limitation on the systems and processes adopting emerging technologies, computer-aided process engineering (CAPE) tools such as process design heuristics, process simulation, optimization, parametric analysis for characterizing sensitivity and alternative generation, and decision making with uncertainties have huge potential to compensate such data limitation and jump up to the deep technology assessments with quantified results. In this paper, we examine the applicability of CAPE tools for systems design and assessment adopting emerging technologies with a case study of recycling systems design of Lithium-ion battery (LiB).
AB - In this study, we are tackling systems design with assessments for emerging technologies. Because of the data limitation on the systems and processes adopting emerging technologies, computer-aided process engineering (CAPE) tools such as process design heuristics, process simulation, optimization, parametric analysis for characterizing sensitivity and alternative generation, and decision making with uncertainties have huge potential to compensate such data limitation and jump up to the deep technology assessments with quantified results. In this paper, we examine the applicability of CAPE tools for systems design and assessment adopting emerging technologies with a case study of recycling systems design of Lithium-ion battery (LiB).
KW - Positive electrode active materials
KW - Recycling
KW - Spent lithium-ion batteries
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U2 - 10.1016/B978-0-323-95879-0.50265-4
DO - 10.1016/B978-0-323-95879-0.50265-4
M3 - Chapter
AN - SCOPUS:85135341790
T3 - Computer Aided Chemical Engineering
SP - 1585
EP - 1590
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -