目的探究外周血白细胞溶质载体家族45成员4(solute carrier family 45 member 4,SLC45A4)和α血红蛋白稳定蛋白(αhemoglobin stabilizing protein,AHSP)基因甲基化与乳腺癌发病的关系。方法通过差异甲基化分析等方法在GSE51032、GSE104...目的探究外周血白细胞溶质载体家族45成员4(solute carrier family 45 member 4,SLC45A4)和α血红蛋白稳定蛋白(αhemoglobin stabilizing protein,AHSP)基因甲基化与乳腺癌发病的关系。方法通过差异甲基化分析等方法在GSE51032、GSE104942和GSE89093数据集中筛选与乳腺癌发病潜在相关的基因。采用病例对照研究,纳入545例乳腺癌患者和524例非乳腺癌对照作为研究对象。使用MethylTarget靶向测序检测目标基因甲基化并分析其与乳腺癌的关系。结果本研究共筛选出4个基因,控制混杂因素后,SLC45A4和AHSP高甲基化与乳腺癌关系的ORadj分别为0.218(95%CI:0.158~0.299)和0.535(95%CI:0.384~0.741)。在不同亚组中SLC45A4高甲基化与乳腺癌的关联仍有统计学意义,ORadj最高为0.427(95%CI:0.270~0.679),最低为0.153(95%CI:0.085~0.274),而AHSP高甲基化仅在管腔A型(Luminal A)、管腔B型(Luminal B)、雌激素受体阳性(estrogen receptor+,ER+)和≤60岁年龄组中与乳腺癌的关联有统计学意义。异质核糖核酸蛋白C(heterogeneous nuclear ribonucleoproteins C,HNRNPC)甲基化与乳腺癌的关系与公共数据结果相反,ORadj为0.747(95%CI:0.569~0.980),锌指蛋白425(zinc finger protein 425,ZNF425)甲基化与乳腺癌的关联无统计学意义(P=0.158)。结论外周血白细胞SLC45A4和AHSP基因高甲基化可能是乳腺癌发病的保护因素。展开更多
构建清洁、低碳、安全、高效的能源体系是我国实现碳中和的必由之路。作为未来规模储能中坚力量,热储能在推动能源绿色低碳发展方面发挥着不可替代的重要作用。热储能技术可解决热电供需时空与强度不匹配问题,是供热和发电技术创新突破...构建清洁、低碳、安全、高效的能源体系是我国实现碳中和的必由之路。作为未来规模储能中坚力量,热储能在推动能源绿色低碳发展方面发挥着不可替代的重要作用。热储能技术可解决热电供需时空与强度不匹配问题,是供热和发电技术创新突破的核心支撑。该文首先梳理并总结不同工作原理热储能技术研究现状;然后,针对最近十年Web of Science核心合集引文数据库文献,基于可视化图谱分析热储能研究热点和发展趋势,结果表明中国已成为热储能研究领域全球学术中心,相变储热技术是当前最受关注的学术热点和未来发展趋势;最后,简要介绍热储能技术在蓄热式供热和热电解耦领域的应用进展情况。储热水罐和固体储热技术成熟,相变储热技术快速发展,基于熔盐储热的燃煤发电机组高效灵活热电解耦技术将具有较大工程应用潜力。该文为可再生能源供热技术研发和高效灵活热电解耦技术突破提供方向指引和理论借鉴。展开更多
The application of multi-energy hybrid power systems is conducive to tackling global warming and the low-carbon transition of the power system.A capacity allocation model of a multi-energy hybrid power system includin...The application of multi-energy hybrid power systems is conducive to tackling global warming and the low-carbon transition of the power system.A capacity allocation model of a multi-energy hybrid power system including wind power,solar power,energy storage,and thermal power was developed in this study.The evaluation index was defined as the objective function,formulated by normalizing the output fluctuation,economic cost,and carbon dioxide emissions.Calculations under different initial conditions and output electric power scenarios were carried out with genetic algorithm.The capacity allocation model was validated with the literature results,with errors of less than 5%.Results indicate that the capacity allocation modes of the multi-energy hybrid power system can be divided into thermal power dominated mode,multi-energy complementary mode,and renewable power dominated mode.In addition,the division of capacity allocation modes is not affected by the weather conditions and energy storage ratio.The capacity factor decreases from 0.4 to 0.24 as the power system changes from the thermal power dominated mode to the renewable power dominated mode.When the output electric power is 240 MW,300 MW,and 340 MW,the optimal energy storage ratio is 10%,18%,and 16%,respectively.The model developed in this study not only enriches the theory of multi-energy complementary power generation but also guides the engineering design of the wind-photovoltaics-thermal-storage system targeting smart grid and be beneficial for the middle-long-term planning of the green and low-carbon transition of the power system.展开更多
The green transition of power systems relies on the accurate measurement of the economic cost associated with the deep peak-shaving process in coal-fired power plants. To evaluate the variation in the coal consumption...The green transition of power systems relies on the accurate measurement of the economic cost associated with the deep peak-shaving process in coal-fired power plants. To evaluate the variation in the coal consumption rate during low-load operation, a model of a 300 MW coal-fired unit was established, with less than 1% deviation from the actual operation value. The results indicate that the coal consumption rate at 20% load can increase to 1.48 times the full-load value. When the excess air coefficient is reduced by 0.3 at low-load conditions, between 40% and 20% load, the exhaust gas temperature is reduced by approximately 5℃, leading to a decrease in the coal consumption rate. In addition, elevating the steam temperature to the design value can reduce the coal consumption rate by 6% to 13%, and increase the inlet temperature of Selective Catalytic Reduction (SCR) process by 10℃. Improving the turbine efficiency during peak-shaving significantly reduces the coal consumption cost, and the enhancement of the mean steam temperature is an efficient approach. This study offers a theoretical reference for the retrofitting, design and economic operation of coal-fired units in peak-shaving, thereby supporting energy system transitions.展开更多
文摘构建清洁、低碳、安全、高效的能源体系是我国实现碳中和的必由之路。作为未来规模储能中坚力量,热储能在推动能源绿色低碳发展方面发挥着不可替代的重要作用。热储能技术可解决热电供需时空与强度不匹配问题,是供热和发电技术创新突破的核心支撑。该文首先梳理并总结不同工作原理热储能技术研究现状;然后,针对最近十年Web of Science核心合集引文数据库文献,基于可视化图谱分析热储能研究热点和发展趋势,结果表明中国已成为热储能研究领域全球学术中心,相变储热技术是当前最受关注的学术热点和未来发展趋势;最后,简要介绍热储能技术在蓄热式供热和热电解耦领域的应用进展情况。储热水罐和固体储热技术成熟,相变储热技术快速发展,基于熔盐储热的燃煤发电机组高效灵活热电解耦技术将具有较大工程应用潜力。该文为可再生能源供热技术研发和高效灵活热电解耦技术突破提供方向指引和理论借鉴。
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No.XDA29010500)。
文摘The application of multi-energy hybrid power systems is conducive to tackling global warming and the low-carbon transition of the power system.A capacity allocation model of a multi-energy hybrid power system including wind power,solar power,energy storage,and thermal power was developed in this study.The evaluation index was defined as the objective function,formulated by normalizing the output fluctuation,economic cost,and carbon dioxide emissions.Calculations under different initial conditions and output electric power scenarios were carried out with genetic algorithm.The capacity allocation model was validated with the literature results,with errors of less than 5%.Results indicate that the capacity allocation modes of the multi-energy hybrid power system can be divided into thermal power dominated mode,multi-energy complementary mode,and renewable power dominated mode.In addition,the division of capacity allocation modes is not affected by the weather conditions and energy storage ratio.The capacity factor decreases from 0.4 to 0.24 as the power system changes from the thermal power dominated mode to the renewable power dominated mode.When the output electric power is 240 MW,300 MW,and 340 MW,the optimal energy storage ratio is 10%,18%,and 16%,respectively.The model developed in this study not only enriches the theory of multi-energy complementary power generation but also guides the engineering design of the wind-photovoltaics-thermal-storage system targeting smart grid and be beneficial for the middle-long-term planning of the green and low-carbon transition of the power system.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA 29010500)the Special Research Assistant Project of the Chinese Academy of Sciences.
文摘The green transition of power systems relies on the accurate measurement of the economic cost associated with the deep peak-shaving process in coal-fired power plants. To evaluate the variation in the coal consumption rate during low-load operation, a model of a 300 MW coal-fired unit was established, with less than 1% deviation from the actual operation value. The results indicate that the coal consumption rate at 20% load can increase to 1.48 times the full-load value. When the excess air coefficient is reduced by 0.3 at low-load conditions, between 40% and 20% load, the exhaust gas temperature is reduced by approximately 5℃, leading to a decrease in the coal consumption rate. In addition, elevating the steam temperature to the design value can reduce the coal consumption rate by 6% to 13%, and increase the inlet temperature of Selective Catalytic Reduction (SCR) process by 10℃. Improving the turbine efficiency during peak-shaving significantly reduces the coal consumption cost, and the enhancement of the mean steam temperature is an efficient approach. This study offers a theoretical reference for the retrofitting, design and economic operation of coal-fired units in peak-shaving, thereby supporting energy system transitions.
