姓名：解玉磊
热科学与能源工程系
讲师
办公地点：
机电楼914
办公电话：

Email：
xieyulei001@ustb.edu.cn


解玉磊热科学与能源工程系

教育及工作经历：
本科及以上学位：
2004.09-2008.07 内蒙古科技大学、能源与环境学院、环境工程，获学士学位
2008.09-2011.04 华北电力大学、能源与环境研究院、环境工程，获硕士学位
2011.09-2015.06 华北电力大学、能源与环境研究院、能源环境工程，获博士学位
工作至今的经历：
2015.07-至今 北京科技大学能源与环境工程学院热科学与能源工程系，讲师


开设课程：
本科生课程：工程流体力学
研究领域：
环境系统分析、水资源与水环境、环境系统优化模型、能源与环境效应、能源规划与管理、不确定性优化及风险规避


奖励荣誉：
2014年，博士研究生国家奖学金，教育部
2015年，北京市优秀博士毕业生


学术成果：
[1] Xie YL, Xia DH, Huang GH, Li W, Xu Y. A multistage stochastic robust optimization model with fuzzy probability distribution for water supply management under uncertainty. Stochastic Environmental Research and Risk Assessment, 2016, DOI 10.1007/s00477-015-1164-8.
[2] Xie YL, Huang GH, Li YF, Cui JX, Sun XW. A risk-based balance inexact optimization model for water quality management with sustainable wetland system development—a case study of North China. Wetland, 2015, China Coastal Wetlands.
[3] Xie YL, Huang GH, Li W, Ji L. Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—a case study of Jining City, China. Applied Energy, 2014, 136:150-167.
[4] Xie YL, Huang GH. Development of an inexact two-stage stochastic model with downside risk control for water quality management and decision analysis under uncertainty. Stochastic Environmental Research and Risk Assessment, 2014, 28:1555–1575.
[5] Xie YL, Huang GH. An optimization model for water resources allocation risk analysis under uncertainty. Journal of Hydroinformatics, 2014, 16(1): 144-164.
[6] Xie YL, Huang GH, Li W, Li JB, Li YF. An inexact two-stage stochastic programming model for water resources management in Nansihu Lake Basin, China. Journal of Environmental Management, 2013, 127: 188-205.
[7] Xie YL, Li YP, Huang GH, Li YF, Chen LR. An inexact chance-constrained programming model for water quality management in Binhai New Area of Tianjin, China. Science of the Total Environment, 2011, 409:1757–1773.
[8] Xie YL, Li YP, Huang GH, Li YF. An interval fixed-mix stochastic programming method for greenhouse gas mitigation in energy systems under uncertainty. Energy, 2010, 35: 4627-4644.