Toward the Optimization of Hydrogen, Ammonia, and Methanol Supply Chains
Year: 2019
Type: article
Abstract: Despite the development of renewable energy technologies becoming more economically favorable, their implementation on a large scale is still decades away. In the meantime, hybrid energy systems (fossil fuel & renewable based) are required as transitional bridges to the future. Renewable energy systems also suffer from temporal and geographical variability issues. Chemical storage in hydrogen-dense compounds is a potential solution. A multi-period planning optimization model of hydrogen networks in California is constructed to analyze its deployment as a transitional energy system for replacing vehicle fuel. A supply chain optimization model of ammonia and methanol networks in Texas is built to understand the future economic viability of chemically storing renewable energy to displace electricity generated from fossil fuels. Results indicate that both are promising viable candidates for transitional and future energy systems.
Source: IFAC-PapersOnLine
Authors: Gerald S. Ogumerem, William W. Tso, C. Doga Demirhan, Seung Y. Lee, Han E. Song, Efstratios N. Pistikopoulos
Institution: Texas A&M University
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2955492619