结合液化天然气（LNG）稳定、连续、低冷值和太阳能清洁、环保、可再生的互补优势,构建一种集成超临界CO2再压缩布雷顿循环（SCRBC）、双级有机朗肯循环（ORC）、轻烃分离（LHS）及数据中心冷却（DCC）的多联产系统,通过双罐储热（TES）平抑太阳能波动,耦合LNG冷能梯级回收技术实现冷-电-轻烃多能联供。采用NSGA-Ⅱ与MOPSO算法,以热效率、㶲效率及净现值为目标进行多目标优化,结合优劣解距离法（TOPSIS）决策确定帕累托最优解。结果表明：系统冷能利用率达69.73%,脱重烃塔㶲损占比为57.03%;净现值（NPV）对年利率的敏感性显著高于电价。相较于传统系统,该方案在热力学性能与经济性方面更具优势。
Abstract
This study combines the complementary advantages of LNG’s stability, continuity, low cooling value, and solar energy’s cleanliness, environmental friendliness, and renewability to construct polygeneration system integrating supercritical CO2 re-compression Brayton cycle （SCRBC）, a two-stage organic Rankine cycle （ORC）, light hydrocarbon separation （LHS）, and data center cooling （DCC）. The system utilizes dual-tank thermal energy storage （TES） to mitigate solar energy fluctuations and couples LNG cold energy cascade recovery technology to achieve combined cooling, power, and light hydrocarbon production. Multi-objective optimization is performed using NSGA-Ⅱ and MOPSO algorithms, targeting thermal efficiency, exergy efficiency, and net present value （NPV）, with the Pareto optimal solution determined via the technique for order preference by similarity to ideal solution （TOPSIS） decision-making. Results indicate that the system achieves a cold energy utilization rate of 69.73%, with the de-heavy hydrocarbon tower accounting for 57.03% of the exergy destruction. The NPV demonstrates significantly higher sensitivity to the annual interest rate than to electricity prices. Compared with conventional systems, this solution exhibits superior thermodynamic performance and greater economic viability.
关键词
太阳能 /
液化天然气 /
轻烃分离 /
多目标优化 /
性能分析 /
数值模拟
Key words
solar energy /
liquefied natural gas /
light hydrocarbon separation /
multi-objective optimization /
performance analysis /
numerical simulation
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基金
国家自然科学基金（52274064; 51774237）; 西安石油大学研究生创新基金（YCX2512025）
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