Multi-objective optimization of Organic Rankine Cycle (ORC) design considering exergy efficiency and inherent safety for LNG cold energy utilization

被引:28
|
作者
Lee, Younggeun [1 ,2 ]
Kim, Jeongnam [1 ,2 ]
Ahmed, Usama [3 ]
Kim, Changsoo [1 ,2 ]
Lee, Youn-Woo [1 ,2 ]
机构
[1] Seoul Natl Univ, Sch Chem & Biol Engn, Gwanak Ro 1, Seoul 08826, South Korea
[2] Seoul Natl Univ, Inst Chem Proc, Gwanak Ro 1, Seoul 08826, South Korea
[3] King Fahd Univ Petr & Minerals, Dept Chem Engn, Dhahran, Saudi Arabia
关键词
Organic Rankine Cycle (ORC); Liquefied natural gas (LNG); Multi-objective optimization (MOO); Inherent safety; Process design; LIQUEFIED NATURAL-GAS; TEMPERATURE WASTE HEAT; POWER CYCLE; RECOVERY; SYSTEM;
D O I
10.1016/j.jlp.2019.01.006
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Natural gas (NG) is an environment-friendly energy source with low CO2 and SOx, emission. NG is usually liquefied during processing for transportation and storage, and then vaporized before consumption for multiple purposes. Usually, cold energy from the vaporization process is not utilized and hence wasted. One of the means of utilizing the cold energy is Organic Rankine Cycle (ORC), through which electricity can be generated from any grade of heat sources. Accordingly, ORC has been extensively investigated with the aim of increasing efficiency. However, although the ORC process has high potential risk of fatality, the safety aspect has not been previously studied. In this study, ORC design considering the thermodynamic and safety aspects is explored with a multi-objective optimization methodology. Exergy efficiency is used for the thermodynamic aspect, and risk distance is used for the safety aspect, with inherent safety techniques for designing safer processes in the conceptual design. Considering the working fluid as the main factor for optimal ORC design, six working fluids in three categories (pure component, binary components, ternary components) are investigated. Pareto optimal solutions are obtained from the multi-objective optimization method with two objectives based on working fluids for ORC design. Optimization variables include working condition (pressure), working fluid conditions (components). Moreover, the final optimal solution is selected using decision techniques, such as LINMAP and TOPSIS.
引用
收藏
页码:90 / 101
页数:12
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