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Ph.D. Heating and Air Conditioning Engineering

School of  Architecture, Tsinghua University, Beijing, China, 2000

Dissertation:  HVAC System Simulation and Analysis Based on Uncertain Inner Heat Gains

Advisor: Prof.  Yi Jiang

B.Eng. Heating and Air  Conditioning Engineering

      Department of Thermal Engineering, Tsinghua University,  Beijing, China, 1995


Professional Experience

Associate  Professor, School of Architecture, Tsinghua University, 2009 till now

Lecturer,   School of Architecture, Tsinghua University,  2007-2009

Postdoctoral  Fellow,  School of Architecture, Tsinghua University, 2005-2007


Since 2005, Da  Yan has made significant original contributions across a diverse set of  research areas and projects. His research focuses on energy efficiency  of buildings in the following four areas:

l        Human Energy-Related Behavior in Buildings

Human behavior  influence the building energy use greatly, as well as has big impacts on  building performance but is over-simplified or ignored in the building  life cycle. Da Yan has been leading a research team conducting a large  amount of measurements and questionnaire surveys nationwide to model  occupant behavior in both residential and office buildings. An occupancy  model based the Markov chain and stochastic models to describe  occupants’ operations on appliances have been developed. He is the  operating agent of IEA EBC Annex 66 with more than 100 participants from  more than 20 countries. The annex aims to set up a standard definition  platform, to establish a quantitative simulation methodology to model  occupant behavior in buildings, and to understand the influence of  occupant behavior on building energy use and the indoor environment.

l        DeST Research and Development 

Building  simulation tool is essential for designers and engineers to optimize  their design and operation in real applications. Da Yan devoted his  effort into the development of the building energy simulation tool DeST  (Designer’s Simulation Tool) since 2000. DeST integrated with the  AutoCAD platform, a high accuracy and user-friendly interface, is proved  to be prominent among peer simulation programs worldwide. The major  features of DeST include, three dimensional underground heat transfer  simulation, coupling CFD and energy simulations, occupant behavior  simulation, uncertainty analysis methodology for internal heat gains,  and so on.

l        Building Energy Code and Standards

Building energy  code and standards have become more and more stringent in order to  support the latest energy goals of central and local governments. His  research includes climate data, supporting code development, and  enhancing DeST as a compliance tool. He led the development of a climate  database with 270 cities and 30 years hourly weather data, which is  widely used for building simulation and design in China. He also  performed a quite large-scale survey on occupant behavior to set up a  more accurate use pattern for energy simulation in code compliance. In  addition, he used DeST as a research tool, to analyze the proper  insulation level for building fabric in Beijing for both residential and  commercial buildings energy efficiency standards. He actively  contributed to the development of ASHRAE standard 140 by performing the  standard tests for DeST and provided inputs to improve the design new  test cases.

l        National Building Energy and Policy Study

With the  dynamic development of the economy and raising living standard in China,  the energy usage in building has been rapidly increased in last 20  years. It is extremely important to investigate the status of total  energy usage in buildings in China, and also figure out the key  bottleneck on technology and policy. Da Yan co-leads a research group  focusing on the energy usage and policy study in China building stock  with Prof. Yi Jiang. This group has performed the investigation on  20,000 units, including residential buildings, office buildings, hotels,  etc. The group continuously publishes the Annual Report on Building  Energy Research in China, the most reputable reference for building  research in China. IEA has adopted this dataset as the China building  energy usage, and has a joint publication with Tsinghua University. The  research outputs have significant impacts on government policy and  industry decision making as well.


Teaching Experience

1. Simulation  methodology of HVAC systems, a graduate course, 2011 till now

2. Simulation  and application of indoor thermal environment in buildings, a graduate  course, 2005 till now

3. Professional  education in HVAC engineering, an under-graduate course, 2012 till now

4. New  evolution of HVAC engineering, an under-graduate course, 2007 till now



1. Operating  Agent, IEA EBC Annex 66, definition and simulation of occupant behavior  in buildings, 2013-2017.

2. National  Representative, IBPSA-China (International Building Performance  Simulation Association), 2006-present.

3. Assistant  Editor, International Journal of Building Simulation, 2007-present.

4. Secretary-general, Association of Simulation in Heating and air  conditioning of China, 2005 till now.

5. Secretary-general, International Building Performance Simulation  Conference, Beijing, 2007.

6. Member,  International Building Performance Simulation Association (IBPSA),  2006-present.

7. International Scientific Committee, ASIM 2014, Windsor conference.

8. Journal  Referee for Automation in Construction, Applied Energy, Energy Policy,  Energy and Buildings, Building and Environment, Renewable Energy, Energy  Research & Social Science, Journal of Building Performances Simulation.

9. Proposal  Reviewer, International Collaboration Program of Ministry of Science and  Technology, NSF of China.


Sampled Invited Presentations (6)

1. “Introduction to standard for energy consumption of buildings in  China”, Joint workshop ISO/TC 163 and ISO/TC 205, WuXi, China, September  15, 2014.

2. “Influence  of Centralization Degree to consumption and system performance of HVAC  system”, EETD, LBNL, USA, August 30, 2014.

3. “Human  Behavior and Energy Standards”, annual meeting of US-China Clean Energy  Center, Building Energy Efficiency Sector, Berkeley, USA, August 26,  2014.

4. “ANNEX 66  for Occupant Behavior”, ASHRAE meeting, Seattle, USA, June 30, 2014.

5. “Case  studies of Centralized and Distributed Cooling system in Residential  building”, Occupant Behavior Workshop, EETD, LBNL, USA, July 17, 2013.

6. “Building  Energy Research in China”, IEA, Paris, February 27, 2013.


Main Research  Projects (18)

1. IEA  (International Energy Agency) Annex 66: Definition and Simulation of  Occupant Behavior in Buildings.

2. 12th  Five-year Plan National Support Program in China: Technology Research  and Demonstration of Building Energy Saving and Efficiency Upgrade in  Northeast Cold Regions.

3. 12th  Five-year Plan National Support Program in China: Research on Methods  and Indicators to Assess Building Energy Efficiency.

4. U.S.-China  Clean Enegy Research Center. Sino-US Cooperation in Ultra-low Energy  Building Technology Research and Demonstration.

5. National  Natural Science Foundation for Youths: Research on Simulation of  Occupant Behavior in Buildings.

6. National  Natural Science Foundation for Key Program: Research on Theory of Rural  Building Thermal Environment and Energy-saving Technology.

7. Specialized  Research Fund for the Doctoral Program: Quantitative Modeling of Energy  Use of Occupants in Buildings.

8. Beijing  Natural Science Foundation of China General Program: Analysis Method of  Cooling and Heating Load Simulation of Building Communities.

9. International Co-operation Program of Ministry of Science and  Technology: Strategic Research of Housing and Urban Systems to Tackle  Climate Change.

10. United  Technologies Research Center. Research on Personnel Movement System of  Occupants in Buildings.

11. Academy of  Engineering Project: Research on Suitability of Technology in Buildings.

12. Key  Research Program of Ministry of Railways China. Research on Building  Energy Integrated Technology of Large Railway Stations.

13. International Science and Technology Co-operation Program: Key  Technologies and Applications of Building Energy Data Collection,  Monitoring and Simulation Analysis.

14. International Science and Technology Co-operation Program:  Comparative Analysis of Different Building Energy Simulation Programs.

15. International School-Enterprise Co-operation Program: Research on  VRF Air Conditioning System Design Methods.

16. International School-Enterprise Co-operation Program: Model  Development of Standard Building Energy Consumption Simulation.

17. 11th  Five-year Plan National Support Program in China: Design of Building  Energy Conservation Methods and Software of Simulation and Analysis of  Building Energy Conservation.

18. 10th  Five-year Plan National Support Program in China: Research and  Development of Software for Analyzing Energy Consumption of Solar  Buildings.


List of Publications


Referred SCI Journal articles (13)

1. Feng, X.,  Yan, D., Hong, T. (2014). Simulation of occupancy in buildings. Energy  and Buildings, In Press.

2. Zhou, X.,  Yan, D., Hong, T., & Ren, X. (2014). Data analysis and stochastic  modeling of lighting energy use in large office buildings in China.  Energy and Buildings, 81, 172-182.

3. Ren, X.,  Yan, D., & Wang, C. (2014). Air-conditioning usage conditional  probability model for residential buildings. Building and Environment,  81, 172-182.

4. Sun, K.,  Yan, D., Hong, T., & Guo, S. (2014). Stochastic modeling of overtime  occupancy and its application in building energy simulation and  calibration. Building and Environment, 79, 1-12.

5. Zhou, X.,  Hong, T., & Yan, D. (2014, February). Comparison of HVAC system modeling  in EnergyPlus, DeST and DOE-2.1 E. In Building Simulation (Vol. 7, No.  1, pp. 21-33). Springer Berlin Heidelberg.

6. Li, C.,  Hong, T., & Yan, D. (2014). An insight into actual energy use and its  drivers in high-performance buildings. Applied Energy, 131, 394-410.

7. Zhu, D. D.,  Yan, D., & Li, Z. (2013). Modelling and applications of annual  energy-using simulation module of separated heat pipe heat exchanger.  Energy and Buildings, 57, 26-33.

8.  hu, D.,  Hong, T., Yan, D. (2013). A detailed loads comparison of three building  energy modeling programs: EnergyPlus, DeST and DOE-2.1E. Building  Simulation, 6, 323-335.

9.  Qin, R.,  Yan, D., Zhou, X., & Jiang, Y. (2012). Research on a dynamic simulation  method of atrium thermal environment based on neural network. Building  and Environment, 50, 214-220.

10. Peng, C.,  Yan, D., Wu, R., Wang, C., Zhou, X., & Jiang, Y. (2012, June).  Quantitative description and simulation of human behavior in residential  buildings. In Building Simulation (Vol. 5, No. 2, pp. 85-94). Tsinghua  Press.

11. Wang, C.,  Yan, D., & Jiang, Y. (2011, June). A novel approach for building  occupancy simulation. In Building simulation (Vol. 4, No. 2, pp.  149-167). Tsinghua Press.

12. Yan, D.,  Xia, J., Tang, W., Song, F., Zhang, X., & Jiang, Y. (2008, June). DeST -  An integrated building simulation toolkit Part I: Fundamentals. In  Building Simulation (Vol. 1, No. 2, pp. 95-110). Tsinghua Press.

13. Yan, D.,  Song, F., Yang, X., Jiang, Y., Zhao, B., Zhang, X. & Sahm, M. (2008). An  integrated modeling tool for simultaneous analysis of thermal  performance and indoor air quality in buildings. Building and  Environment, 43(3), 287-293.


Referred Journal articles in Chinese  (25)

1. Zhang, Q.,  Yan D., et. al. Impact analysis of indoor heat gain spatial diverse  characteristics on air conditioning system design and capacity in office  building. (2014) Heating Ventilating & Air Conditioning, 44(10), 26-32.  In Chinese.

2. Ren, X.,  Yan, D. A study of lighting energy consumption model for office  buildings based on occupant behavior. (2014) Building Science, 30(6),  1-9. In Chinese.

3. Zhou, X.,  Yan, D., et. al. Comparison and research about centralized and  distributed air conditioning systems in residential buildings. (2014)  Heating Ventilating & Air Conditioning, 7, 18-25. In Chinese.

4. Guo, S.,  Yan, D., et. al. Case studies and key questions of space heating in  residential buildings in Yangtze Rive basin. (2014) Heating Ventilating  & Air Conditioning, 44(6), 25-32. In Chinese.

5. Zhou, X.,  Yan, D., An, J., Hong, T. Comparison and analysis of energy consumption  of four office buildings in China and the United States. (2014) Building  Science, 30(6), 55-65. In Chinese.

6. Guo, S., Yan  D., el. al. Status investigation and test on heating of residential  buildings in winter in Shanghai. (2014) Heating Ventilating & Air  Conditioning, 44(6), 11-15. In Chinese.

7. Zhou, X.,  Yan, D., Hong, T., Zhu, D. Comparison and research on HVAC system  simulation part for different building energy modeling programs. (2014)  Heating Ventilating & Air Conditioning, 44(4), 113-131. In Chinese.

8. Feng, X.,  Yan, D., Peng, C., Jiang, Y. Influence of residential building air  tightness on energy consumption. (2014) Heating Ventilating & Air  Conditioning, 44(2), 5-14. In Chinese.

9. Sun, H., Wu,  R., Yan, D. Development and application of BIM data interface for  building energy consumption simulation software. (2013) Building  Science, 29(12), 11-15. In Chinese.

10. Zhou, X.,  Yan, D., Ren, X., Hong, T. Data analysis and modeling of lighting energy  use in large office buildings. (2013) China Illuminating Engineering  Journal, 24(4), 14-23. In Chinese.

11. Liu, Y.,  Deng, G., Peng C., Yan, D. Current situation investigation and numerical  simulation study of natural air infiltration in railway stations. (2012)  Heating Ventilating & Air Conditioning, 42(12), 53-59. In Chinese.

12. Zhu, D.,  Yan, D., Li, Z. Annual energy consumption simulation of separated  heat-pipe heat exchanger. (2012) Heating Ventilating & Air Conditioning,  43(2), 118-123. In Chinese.

13. Zhu, D.,  Yan, D. Calculation of solar radiation and generated energy on inclined  plane and optimal inclined angle. (2012) Building Science, 28(2),  277-281. In Chinese.

14. Jiang, Y.,  Peng, C., Yan, D. China Road Map for Building Energy Conservation.  (2012) Construction Science and Technology, 2, 12-19. In Chinese.

15. Zhu, D.,  Yan, D., Wang, C., Hong, T. Comparison of building energy simulation  programs: DeST, EnergyPlus and DOE-2. (2012) Building Science, 28(2),  213-222. In Chinese.

16. Ren, X., Hu,  S., Yan, D., Peng, C. Research on electricity use modelling of household  appliances based on measurements. (2012) Building Science, 28(2),  223-230. In Chinese.

17. Sun, K.,  Zhang, Q., Yan, D. Comparison and analysis of cooling energy consumption  in large-scale office buildings in Beijing and Hong Kong. (2012)  Building Science, 28(2), 232-235. In Chinese.

18. Luo, T.,  Yan, D., el. al. Investigation and optimization design for daylighting  of railway station. (2012) China Illuminating Engineering Journal,  23(1), 20-29. In Chinese.

19. Luo, T.,  Yan, D., et. al. Comparative study on simulation software of neutral  lighting environment. (2011) Building Science, 27(10), 1-6. In Chinese.

20. Liu, Y.,  Peng, C., Yan, D. Indoor environment status and energy saving design  investigation of railway stations. (2011) Heating Ventilating & Air  Conditioning, 41(7), 51-57. In Chinese.

21. Luo, T.,  Yan D., Lin, R., Wang, S. Study and application on the typical yearly  daylight illuminance. (2011) China Illuminating Engineering Journal,  22(5), 1-6. In Chinese.

22. Peng, C.,  Yan, D., Zhou, X. Effect of building air tightness on energy consumption  for heating. (2010) Heating Ventilating & Air Conditioning, 40(9),  107-111. In Chinese.

23. Qin, R.,  Liu, Y., Yan, D., Jiang, Y. Influence of raising set temperature of air  conditioning systems in summer on energy consumption of office  buildings. Heating Ventilating & Air Conditioning, 37(8), 3-7. In  Chinese.

24. Li, Z.,  Jiang, Y., Yan, D. Simulation and analysis of intermittent heating in  residential buildings. (2005) Heating Ventilating & Air Conditioning,  35(8), 110-113. In Chinese.

25. Yan, D.,  Xie, X., Song, F., Jiang, Y. Building environment design simulation  software DeST(1): an overview of developments and information of  building simulation and DeST. (2004) Heating Ventilating & Air  Conditioning, 34(7), 49-56. In Chinese.


Referred Conference papers (11)

1. Zhou, X.,  Yan, D., Deng, G. Influence of occupant behavior on the efficiency of a  district cooling system. Proceedings of the 13th Conference of  International Building Performance Simulation Association, Chambery,  France, August 26-28, 2013.

2. Zhu, D.,  Yan, D., Li, Z. Annual energy-using simulation of separate heat-pipe  heating exchanger. Proceedings of the 12th Conference of International  Building Performance Simulation Association, Sydney, 14-16 November,  2011.

3. Zhu, Q.,  Yan, D. Dynamic simulation of atrium thermal environment aiding building  design. Proceedings of the 10th Conference of International Building  Performance Simulation Association, Beijing, 3-6 September, 2007.

4. Yan, D.,  Jiang, Y. HVAC system simulation and analysis based on uncertain inner  heat gains. Proceedings of the 10th Conference of International Building  Performance Simulation Association, Beijing, 3-6 September, 2007.

5. Gao, Y.,  Zhang, X., Yan, D. Building use modes impact on simulation results and  scheme evaluation. Proceedings of the 10th Conference of International  Building Performance Simulation Association, Beijing, 3-6 September,  2007.

6. Yi, Y., Lee,  J., Malkawi, A., Wang, C., Jiang, Y., Yan, D. Data-centric simulation  interoperability using the DeST simulation platform. Proceedings of the  10th Conference of International Building Performance Simulation  Association, Beijing, 3-6 September, 2007.

7. Zhang, X.,  Yan, D., Jiang, Y. Energy labeling system for residential building in  China. Proceedings of the 10th Conference of International Building  Performance Simulation Association, Beijing, 3-6 September, 2007.

8. Yan, D.,  Tang W., Xia J. A Study on HVAC Scheme Design Simulation Methodology,  7th International Conference on System Simulation in Buildings, Liège,  December 11-13, 2006

9. Yan D., Song  F., et. al. An Integrated Modeling Tool for Simultaneous Analysis of  Thermal Performance and Indoor Air Quality in Building, Proceedings of  the 10th International conference on Indoor Air Quality and Climate,  September 4-9, 2005

10. Yan D.,  Tang W., Jiang Y. An overview of developments and information of a  Building Simulation Tool – DeST, Proceedings of the 9th Conference of  the International Building Performance Simulation Association, August  9-11, 2005

11. Yan D., Zhu  Y.. Case Study: YBS Building Simulation Using DeST. IEA Annex 40, 2003


Books and Reports  (9)

1. China Annual  Report on building energy efficiency. China Architecture and Building  Press. 2011, 2013 and 2014.

2. Simulation  and analysis on building environment system – DeST. China Building  Industry Press.

3. Meteorological datasets for building thermal environment in China.  China Building Industry Press.

4. Hong, T.,  Yan, D., et. al. Integrated Design for High Performance Buildings.  Lawrence Berkeley National Laboratory. June 2014.

5. Hong, T.,  Yan, D., Sun, K., Guo, S. Stochastic Modeling of Overtime Occupancy and  Its Application in Building Energy Simulation and Calibration. Lawrence  Berkeley National Laboratory. May 2014.

6. Hong, T.,  Yan, D., Zhou X. Comparison of Building Energy Modeling Programs: HVAC  Systems. Lawrence Berkeley National Laboratory. August 2013.

7. Hong, T.,  Yan, D., et. al. Building Performance Simulation. Lawrence Berkeley  National Laboratory. June 2013.

8. Stolten, D.,  Scherer, V., Peng, C., Yan, D., Jiang, Y. China Road Map for Building  Energy Conservation. Transition to Renewable Energy Systems, pp.  891-911.

9. Hong, T.,  Yan, D., Zhu, D., Wang, C. Comparison of Building Energy Modeling  Programs: Building Loads. Lawrence Berkeley National Laboratory. June  2012.


Standards and Codes (4)

1. GB50019-201x. Design Code for Heating Ventilation and Air  Conditioning of Industrial Buildings. Ministry of Housing and  Urban-Rural Development of the People’s Republic of China, General  Administration of Quality Supervision, Inspection and Quarantine of the  People’s Republic of China.

2. DB11/687-2009. Design Standard for Energy Efficiency of Public  Buildings. Beijing Municipal Commission of Urban Planning, Beijing  Municipal Administration of Quality and Technology Supervision.

3. DB11/891-2012. Design Standard for Energy Efficiency of Residential  Buildings. Beijing Municipal Commission of Urban Planning, Beijing  Municipal Administration of Quality and Technology Supervision.

4. DB11/Txxx-201x. Assessment Standard for Energy Efficiency of Public  Buildings. Beijing Municipal Commission of Housing and Urban-Rural  Development, Beijing Municipal Administration of Quality and Technology  Supervision.



Honors and awards (8)

1. Youth  outstanding paper award. The adaptability of residential buildings with  high-performance envelop in China. HVAC National Academic Conference,  2014.

2. Best paper  award. Quantitative description and simulation of human behavior in  residential buildings. Journal of Building Simulation, 2012.

3. Youth  outstanding paper award. Research on electricity use modelling of  household appliances based on measurements. HVAC National Academic  Conference, 2012.

4. Youth  outstanding paper award. Calculation of solar radiation and generated  energy on inclined plane and optimal inclined angle. HVAC National  Academic Conference, 2012.

5. Best paper  award. A novel approach for building occupancy simulation. Journal of  Building Simulation, 2011.

6. Second prize  for science and technology of Ministry of Railways, China. Research on  building energy integrated technology of large railway stations, 2011.

7. Youth  outstanding paper award. Measurement and research on partial load  property of VRF systems. HVAC National Academic Conference, 2010.

8. Second  national prize for scientific and technological progress of China.  Development and application of DeST for building energy conservation,  2009.

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