Shen Leiting, Sippola Hannu, Li Xiaobin, Lindberg Daniel, Taskinen Pekka
School of Chemical Engineering, Metallurgical Thermodynamics and Modeling Research Group, Aalto University, Espoo 02150, Finland.
School of Metallurgy and Environment, Central South University, Changsha 410083, China.
J Chem Eng Data. 2019 Jun 13;64(6):2697-2709. doi: 10.1021/acs.jced.9b00112. Epub 2019 Apr 9.
Calcium sulfate is one of the most common inorganic salts with a high scaling potential. The solubility of calcium sulfate was modeled with the Pitzer equation at a temperature range from 273.15 to 473.15 K from published solubility data, which was critically evaluated. Only two Pitzer parameters, β and β, with simple temperature dependency are required to model the solubility with excellent extrapolating capabilities up to 548.15 K. The stable temperature range for gypsum is 273.15-315.95 K, whereas above 315.95 K the stable phase is anhydrite. Hemihydrate is in the metastable phase in the whole temperature range, and the obtained metastable invariant temperature from gypsum to hemihydrate is 374.55 K. The obtained enthalpy and entropy changes at 298.15 K for the solubility reactions are in good agreement with literature values yielding solubility products of 2.40 × 10, 3.22 × 10, and 8.75 × 10 for gypsum, anhydrite, and hemihydrate, respectively. The obtained Pitzer model for the CaSO-HO system is capable of predicting the independent activity and osmotic coefficient data with experimental accuracy. The mean absolute average error of activity coefficient data at 298.15 K is less than 2.2%. Our model predicts the osmotic coefficient on the ice curve within 1.5% maximum error.
硫酸钙是最常见的无机盐之一,具有很高的结垢潜力。根据已发表的溶解度数据,在273.15至473.15 K的温度范围内,用皮泽方程对硫酸钙的溶解度进行了建模,并对其进行了严格评估。只需两个具有简单温度依赖性的皮泽参数β和β,就可以对溶解度进行建模,其外推能力极佳,最高可达548.15 K。石膏的稳定温度范围是273.15 - 315.95 K,而在315.95 K以上,稳定相是硬石膏。半水合物在整个温度范围内处于亚稳相,从石膏到半水合物获得的亚稳转变温度为374.55 K。在298.15 K下获得的溶解度反应的焓变和熵变与文献值吻合良好,石膏、硬石膏和半水合物的溶度积分别为2.40×10、3.22×10和8.75×10。所获得的CaSO-H₂O体系的皮泽模型能够以实验精度预测独立活度和渗透系数数据。298.15 K下活度系数数据的平均绝对平均误差小于2.2%。我们的模型预测冰曲线上的渗透系数,最大误差在1.5%以内。