Universiti Teknologi Malaysia Institutional Repository

Spatial planning of photovoltaic-based hydrogen supply chain: optimal site location and supply chain operation

Mah, Angel Xin Yee and Ho, Wai Shin and Hassim, Mimi Haryani and Hashim, Haslenda (2020) Spatial planning of photovoltaic-based hydrogen supply chain: optimal site location and supply chain operation. Chemical Engineering Transactions, 81 . pp. 613-618. ISSN 2283-9216

Full text not available from this repository.

Official URL: http://dx.doi.org/10.3303/CET2081103

Abstract

The transition of energy system from fossil-based to low-carbon based is crucial for sustainable development. Hydrogen is a potential fuel of the future as it has a clean emission aside with high gravimetric energy density. To minimise the cost of the future hydrogen supply network, the location of hydrogen production site should be well-selected. While most of the past studies have employed mathematical model to optimise the hydrogen supply chain, spatial conditions such as availability of energy sources, transportation network and land-use should also be considered when identifying the optimal site location. This study proposes a two-stage spatiallyexplicit hydrogen supply chain optimisation framework that integrates the Geographical Information System and mathematical optimisation model. The first stage involves spatial analysis to identify potential production site and demand site locations based on the geographical factors. Transportation distance between the potential production sites and the demand sites will be computed and input to the mathematical optimisation model. In the second stage, the mathematical model is solved to identify the cost-optimal production site location. The proposed methodology is applied to Malaysia case study and the optimal site location has been identified. The annual cost of the optimised hydrogen supply chain is determined to be 159.3 million USD.

Item Type:Article
Uncontrolled Keywords:hydrogen supply chain, site location
Subjects:T Technology > TP Chemical technology
Divisions:Chemical and Energy Engineering
ID Code:28887
Deposited By: Yanti Mohd Shah
Deposited On:30 Nov 2012 01:16
Last Modified:31 Jan 2022 08:38

Repository Staff Only: item control page