Life Cycle Assessment of Hydrogen Supply Chain: A Case Study for Japanese Automotive Use

2018 ◽  
pp. 499-519
Author(s):  
Yuki Kudoh ◽  
Akito Ozawa
2015 ◽  
Vol 18 (2) ◽  
pp. 140-154 ◽  
Author(s):  
David McCarthy ◽  
Aristides Matopoulos ◽  
Philip Davies

Author(s):  
Xuda Lin ◽  
Xing Li ◽  
Sameer Kulkarni ◽  
Fu Zhao

Life Cycle Assessment (LCA) is a widely recognized tool used to evaluate environmental impacts of a product or process, based on the environmental inventory database and bills of material. Data quality is one of the most significant factors affecting the analysis results. However, currently most datasets in inventory databases are generic i.e., they may represent material and energy flow of a process at market average, instead of a specific process used by a manufacturer. As a result, stockholders are unable to track their supply chain to find out the actual environmental impact from each supplier and to compare the environmental performance of alternative options. In this paper, we developed a new framework i.e., blockchain based LCA (BC-LCA), where block-chain technology is adapted to secure and transmit inventory data from upstream suppliers to downstream manufacturers. With BC-LCA, more specific data can be acquired along the supply chain in a real-time manner. Moreover, the availability, accuracy, privacy, and automatic update of inventory data can be improved. A case study is provided based on an industrial supply chain, to demonstrate the utilization of BC-LCA.


2018 ◽  
Vol 170 ◽  
pp. 451-461 ◽  
Author(s):  
López Isabel Noya ◽  
Vasileia Vasilaki ◽  
Valentina Stojceska ◽  
Sara González-García ◽  
Chantelle Kleynhans ◽  
...  

2022 ◽  
Vol 334 ◽  
pp. 02003
Author(s):  
Federico Parolin ◽  
Paolo Colbertaldo ◽  
Stefano Campanari

Hydrogen is recognized as a key element of future low-carbon energy systems. For proper integration, an adequate delivery infrastructure will be required, to be deployed in parallel to the electric grid and the gas network. This work adopts an optimization model to support the design of a future hydrogen delivery infrastructure, considering production, storage, and transport up to demand points. The model includes two production technologies, i.e., steam reforming with carbon capture and PV-fed electrolysis systems, and three transport modalities, i.e., pipelines, compressed hydrogen trucks, and liquid hydrogen trucks. This study compares a multi-modality formulation, in which the different transport technologies are simultaneously employed and their selection is optimized, with a mono-modality formulation, in which a single transport technology is considered. The assessment looks at the regional case study of Lombardy in Italy, considering a long-term scenario in which an extensive hydrogen supply chain is developed to supply hydrogen for clean mobility. Results show that the multi-modality infrastructure provides significant cost benefits, yielding an average cost of hydrogen that is up to 11% lower than a mono-modality configuration.


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