| 摘要: |
| 目的 针对常规天然气处理厂因设备老化、气源波动等原因导致的能耗高、?效率低的问题，以西北某天然气处理厂为研究对象，提出基于?分析与响应面法的协同优化策略。通过工艺参数调整降低不可逆?损，提升系统能量利用效率。方法 以西北某天然气处理厂（年处理量55×108 m3）为研究对象，基于HYSYS构建工艺模型，并进行?分析，确定增压系统为关键耗能单元（?损占比68.12%）。采用敏感性分析与Box-Behnken设计，优化压缩机吸气压力（1.8~2.5 MPa）、吸气温度（6~20 ℃）、排气压力（4.8~6.0 MPa）及空冷器出口温度（35~55 ℃）四个参数，构建二次多项式回归模型（R2=0.9963，预测误差<0.9%），并通过方差分析验证模型显著性（P<0.0001）。结果 优化后最佳参数组合为：吸气压力2.5 MPa、吸气温度6.03 ℃、排气压力4.8 MPa、空冷器出口温度55 ℃，单位产品气消耗?降至6.35 kJ/m3，不可逆?损减少5104.68×104 kJ/h。经济效益分析表明，年节能量达4.5×107 kWh，CO?减排3.8万吨，投资回收期仅4个月。结论 结合?分析与响应面法，可在无需设备改造的前提下实现天然气处理厂增压系统节能优化。揭示了压缩机压力参数对?损的非线性影响机制，提出参数敏感性排序（排气压力>吸气压力>吸气温度>空冷器温度），为现场调控提供理论依据，兼具经济收益与环境效益。未来可进一步研究复杂工况下的动态适应性、多能源耦合影响机制及实时调控技术，以提升模型的工业普适性。 |
| 关键词: 天然气处理厂 ?分析 响应面法 工艺参数优化 节能 |
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| Exergic analysis of gas processing plant supercharging system process parameters optimization and exergic damage research |
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冯梁俊1, Peng XingYu2, Xu Yixin3
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1.Southwest Petrolum University;2.Southwest Petroluem University;3.Sinopec Waneng Natural Gas Co., LTD
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| Abstract: |
| Objective: To address the issues of high energy consumption and low exergy efficiency in conventional natural gas processing plants due to aging equipment and fluctuating gas sources, this study takes a natural gas processing plant in Northwest China as the research object and proposes a collaborative optimization strategy based on exergy analysis and response surface methodology to reduce irreversible exergy losses and improve the energy utilization efficiency of the system through the adjustment of process parameters. Methods: A natural gas processing plant with an annual processing capacity of 55×10^8 m3 in Northwest China was selected as the research object. A process model was constructed based on HYSYS, and exergy analysis was conducted to identify the compression system as the key energy-consuming unit (accounting for 68.12% of exergy losses). Sensitivity analysis and Box-Behnken design were used to optimize four parameters: suction pressure (1.8~2.5 MPa), suction temperature (6~20 ℃), discharge pressure (4.8~6.0 MPa), and air cooler outlet temperature (35~55 ℃). A quadratic polynomial regression model was established (R2=0.9963, prediction error <0.9%), and the significance of the model was verified through variance analysis (P<0.0001). Results: The optimal parameter combination after optimization was: suction pressure 2.5 MPa, suction temperature 6.03 ℃, discharge pressure 4.8 MPa, and air cooler outlet temperature 55 ℃. The exergy consumption per unit product gas was reduced to 6.35 kJ/m3, and the irreversible exergy loss was decreased by 5104.68×104 kJ/h. Economic benefit analysis indicated that the annual energy savings reached 4.5×107 kWh, and CO? emissions were reduced by 38,000 tons. The payback period was only 4 months. Conclusion: The integration of exergy analysis and response surface methodology can achieve energy-saving optimization of the compression system in natural gas processing plants without the need for equipment modification. The study revealed the nonlinear influence mechanism of compressor pressure parameters on exergy losses and proposed a parameter sensitivity ranking (discharge pressure > suction pressure > suction temperature > air cooler temperature), providing a theoretical basis for on-site control and demonstrating significant economic and environmental benefits. Future research should focus on the dynamic adaptability to complex operating conditions, the influence mechanism of multi-energy coupling, and intelligent real-time optimization technology to enhance the industrial applicability of the model. |
| Key words: Natural gas processing plant Energy-saving optimization Exergy loss Response surface method Parameter sensitivity analysis |
