Abstract
A mixed integer linear programming (MILP) model for the optimal design and operation of a hydrogen supply chain (HSC) under CO2 emission constraints is presented. The mathematical model includes carbon capture and storage (CCS) methods and carbon tax as CO2 mitigation strategies. A case study of a future hydrogen supply chain in the United Arab Emirates (UAE) is analyzed. The optimization objective consists of the minimization of the total network cost, both in terms of capital and operating expenditures, under techno-economic and environmental constraints. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The aim of this work is to determine the optimal design and operation of a future hydrogen supply chain in the United Arab Emirates with and without CO2 emission regulations. Also, the model determines the most suitable delivered product form (i.e., gaseous or liquid) into the market. The optimization results show that the mathematical model is a valuable tool for designing the optimal hydrogen supply chain of the country, minimize the supply chain costs, and reduce the CO2 emissions.
| Original language | British English |
|---|---|
| Title of host publication | International Conference on Smart Energy Grid Engineering, SEGE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467379328 |
| DOIs | |
| State | Published - 10 Nov 2015 |
| Event | International Conference on Smart Energy Grid Engineering, SEGE 2015 - Oshawa, Canada Duration: 17 Aug 2015 → 19 Aug 2015 |
Publication series
| Name | International Conference on Smart Energy Grid Engineering, SEGE 2015 |
|---|
Conference
| Conference | International Conference on Smart Energy Grid Engineering, SEGE 2015 |
|---|---|
| Country/Territory | Canada |
| City | Oshawa |
| Period | 17/08/15 → 19/08/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 13 Climate Action
Keywords
- hydrogen supply chain
- mixed integer linear programming
- United Arab Emirates
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