---

---

一、教师简介（含主要经历）
（1）工作经历
2016.12至今：中山大学，副教授
2016.01-2016.12：香港理工大学，Research Fellow
2013.01-2016.01：香港理工大学，博士后
2004.4-2007.4：深圳市建筑科学研究院，工程师
（2）学历
2009.02-2013.06：香港理工大学，屋宇设备工程专业，博士

---

二、学科方向
专注于城市智慧能源领域的研究，属于建筑环境技术、工程热物理以及控制科学的多学科交叉领域。
面向智能电网(Smart Grid)应用的建筑能源智能管理与控制
复杂中央空调系统智能优化控制及故障诊断
新能源建筑一体化系统的优化控制
绿色建筑与零能耗建筑技术
新能源、储能技术在建筑中的应用

---

三、科研项目
1.国家自然科学基金项目（面上），快速需求响应机制下相变蓄能建筑多系统非稳态耦合响应特性量化研究与调控机理（**），2018.1-2021.12，主持。
2. 香港理工大学研究基金，Energy Performance Assessment and Optimization on Existing Campus Buildings，2015-2018，主要参与完成人。
3. 香港政府研究资助委员会，**，Development of A Fast Building Power Demand Response Control Strategy for Smart Grids，2015/01-2018/12,主要参与完成人。
4. 香港政府研究资助委员会，An Interactive Building Energy Demand Management Strategy for Smart Grid，2014/01-2017/12, 主要参与完成人。
5. 香港政府研究资助委员会，Design and Control Optimizations of Net-Zero Energy Buildings Integrated with Micro-Grid，2013/01-2016/12, 主要参与完成人。
6. 香港政府研究资助委员会，533109，Study on the Thermodynamic Characteristics and Optimal Control of Buildings with Energy Performance Enhanced by Integrating Phase Change Materials (PCMs)，2009/01-2013/12, 主要参与完成人。
7. 企业研究项目，香港新世界中心能源优化项目（30万平米），2012-2017，主要参与完成人，具体负责项目实施。
8. 企业研究项目，香港地铁集团（MTR）能源优化项目，2013-2016，主要参与完成人，具体负责项目实施。
9. 企业研究项目，香港民航处总部能源优化项目，2014-1016，主要参与完成人，具体负责项目实施。
10. 企业研究项目，复杂空调系统优化控制软件包开发，2012-2013，主要参与完成人，具体负责项目实施。

---

四、论著专利
[1] Lingshi Wang, Fu Xiao, Xiaofeng Niu & Dian-ce Gao. A dynamic dehumidifier model for simulations and control of liquid desiccant hybrid air conditioning systems. Energy and Buildings 2017;140:418-429.
[2]Borui Cui, Dian-ce Gao, Fu Xiao, Shengwei Wang. Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings. Applied Energy 2017; 201：382-396.
[3] Lingshi Wang, Fu Xiao, Xiaofeng Niu, Dian-ce Gao. Experimental study of dynamic characteristics of liquid desiccant dehumidification processes. Science and Technology for the Built Environment. 2016;23(1):91-104.
[4] Rui Tang, Shengwei Wang, Dian-ce Gao, Kui, Shan. A Power Limiting Control Strategy Based on Adaptive Utility Function for Fast Demand Response of Buildings in Smart Grids. Science and Technology for the Built Environment. 2016; 22(6):810-819.
[5] Wenjie Gang, Shengwei wang, Fu Xiao, Dian-ce Gao. District Cooling Systems: Technology Integration, System Optimization, Challenges and Opportunities for Applications. Renewable & Sustainable Energy Reviews 2016; 53:253-264.
[6] Kui Shan, Shengwei wang, Dian-ce Gao, Fu Xiao. Development and Validation of An Effective and Robust Chiller Sequence Control Strategy Using Data Driven Models. Automation in Construction 2016; 65: 78-85.
[7] Dian-ce Gao, Wang S.W., Shan Kui. In-situ Implementation and Evaluation of An Online Robust Control Strategy for avoiding Low delta-T Syndrome in Complex Chilled Water Systems of High-rise Buildings. Applied Energy 2016; 171:541-554.
[8] Dian-ce Gao, Wang S.W., Gang W.J., Xiao F., A Model-based Adaptive Method for Evaluating The Energy Impact of Low Delta-T Syndrome In Complex HVAC Systems Using Support Vector Regression. Building Services Engineering Research and Technology 2016; 37(5): 573-596.
[9] Wenjie Gang, Shengwei Wang, Fu Xiao, Dian-ce Gao. Performance Assessment of District Cooling System Coupled with Different Energy Technologies in Subtropical Area. Energy Procedia 2015；75：1235-1241.
[10] Dian-ce Gao, Yongjun Sun. A GA-Based Coordinated Demand Response Control for Building Group Level Peak Demand Limiting with Benefits to Grid Power Balance. Energy and Buildings 2016; 110:31-40.
[11] Wenjie Gang, Shengwei wang, Fu Xiao, Dian-ce Gao. Robust Optimal Design of Building Cooling Systems Considering Cooling Load Uncertainty and Equipment Reliability. Applied Energy 2015;159:265-275.
[12] Dian-ce Gao, Yongjun Sun, Yuehong Lu. A Robust Demand Response Control for Commercial Buildings with Load Prediction Uncertainty Considered. Energy 2015; 93:275-283.
[13] Shan Kui, Wang Shengwei, Gao Dian-ce, Sam Lee. In-situ validation of a fault tolerant control strategy for VAV systems. Applied Thermal Engineering 2015; 87: 362-370.
[14] Borui Cui, Dian-ce Gao, Shengwei Wang, Xue Xue. Effectiveness and Life-cycle Cost-Benefit Analysis of Active Cold Storages for Building Demand Management for Smart Grid Applications. Applied Energy 2015; 147: 523-535
.
[15] Wenjie Gang, Shengwei Wang, Kui Shan, Diance Gao. Impacts of Cooling Load Calculation Uncertainties on the Design Optimization of Building Cooling Systems. Energy and Buildings 2015; 94: 1-9.
[16] Wenjie Gang, Shengwei Wang, Diance Gao, Fu Xiao. Performance assessment of district cooling systems for a new development district at planning stage. Applied Energy 2015; 140: 33-43.
[17] Yan C.C., Wang S.W., Xiao F., Dian-ce Gao. A Multi-level Energy Performance Diagnosis Method for Energy Information Poor Buildings. Energy 2015; 83:189-203.
[18] Dian-ce Gao, Wang S.W., Shan Kui, Yan C.C. A system-level fault detection and diagnosis method for low delta-T syndrome in the complex HVAC systems. Applied Energy 2016; 164: 1028-1038.
[19] Dian-ce Gao, Shengwei Wang, Fu Xiao and Kui Shan, A fault detection and diagnosis method for low delta-T syndrome in a complex air-conditioning system. Energy Procedia 2014; 61: 2514-2517.
[20] Sun Y.J. Wang S.W., Xiao F. and Dian-ce Gao, Peak Load Shifting Control Using Different Cold Thermal Energy Storage Facilities in Commercial Buildings: A Review. Energy Conversion and Management 2013; 71: 101-114.
[21] Wang S.W., Dian-ce Gao, Sun Y.J. and Xiao F. An online adaptive optimal control strategy for complex building chilled water systems involving intermediate heat exchangers. Applied Thermal Engineering 2013; 50(1): 614-628.
[22] Dian-ce Gao, Wang S.W., Sun Y.J. and Xiao F. Diagnosis of the low temperature difference syndrome in the chilled water system of a super high-rise building: a case study. Applied Energy 2012; 98(1): 597-606.
[23] Dian-ce Gao, Wang S.W., and Sun Y.J. A fault-tolerant and energy efficient control strategy for primary–secondary chilled water systems in buildings. Energy and buildings 2011; 43(12): 3646–3656.
[24] S.W. Wang, Z.J. Ma and Dian-ce Gao. Performance enhancement of a complex chilled water system using a check valve: Experimental validations, Applied Thermal Engineering 2010; 30(17-18):2827-2832.

---

五、荣誉获奖情况
1. 入选2016年中山大学“****”。
2. 香港新世界中心能源优化项目，获2014年美国采暖、制冷与空调工程师学会“ASHRAE” 技术奖。

---

六、社会服务
参编深圳市地方标准《公共建筑中央空调控制系统技术规程》

---

七、联系方式
电子邮箱： gaodiance@126.com