邮箱：linguanjing@sz.tsinghua.edu.cn

地址：清华大学深圳国际研究生院，H楼315办公室

林冠婧，清华大学深圳国际研究生院未来人居研究院副教授，博士生导师。清华大学本科，硕士，美国德州农工大学博士。2013年到2022年曾在美国劳伦斯伯克利国家实验室担任首席研究员。

专注于智慧建筑能源管理和节能减排研究，包括能耗分析、故障监测与纠偏和优化控制等。在Nature Scientific Data, Building and Environment, Energy and Buildings等国际重要学术期刊发表多篇论文，获得4项软件著作权证书。

代表性论文

[1] Lin G*, Pritoni M, Chen Y, Vitti R, Weyandt C, Granderson J. Implementation and test of an automated control hunting fault correction algorithm in a fault detection and diagnostics Tool. Energy and Buildings. 2023 283: 112796.

[2] Lin G, Kramer H*, Nibler V, Crowe E, Granderson J*. Building analytics tool deployment across thousands of United States buildings: benefits, costs, and the state of practice. Energies. 2022 15(13), p.4858. DOI: https://doi.org/10.3390/en15134858

[3] Chen Y*, Lin G, Chen Z, Wen J, Granderson J. A simulation-based evaluation of fan coil unit fault effects. Energy and Buildings. 2022 263:112041.

[4] Pritoni M, Lin G*, Chen Y, Vitti R, Weyandt C, Granderson J. From fault-detection to automated fault correction: A field study. Building and Environment. 2022 214:108900.

[5] Chen Y, Lin G, Crowe E*, Granderson J. Development of a unified taxonomy for HVAC system faults. Energies, 2021 14(17), p.5581.

[6] Granderson J*, Lin G*, Harding A, Im P, Chen Y. Building fault detection data to aid diagnostic algorithm creation and performance testing. Nature Scientific Data. 2020 Feb 24;7(1):1-4.

[7] Lin G, Pritoni M, Chen Y, Granderson J*. Development and implementation of fault-correction algorithms in fault detection and diagnostics tools. Energies. 2020 Jan;13(10):2598.

[8] Lin G, Kramer H, Granderson J*. Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance. Building and Environment. 2020 (168):106-505.

[9]   Granderson J*, Lin G, Blum D, Page J, Spears M, Piette MA. Integrating diagnostics and model-based optimization. Energy and Buildings. 2019 (182):187-95. [10]Frank S, Lin G, Jin X, Singla R, Farthing A, Granderson J*. A performance evaluation framework for building fault detection and diagnosis algorithms. Energy and Buildings. 2019 (192):84-92.

软件著作权

[1] Vitti R, Weyandt C, Lin G, Pritoni M, Yimin C，Granderson J, Haxall-based (Axon) fault auto-correction package for building HVAC systems, 2022

[2] Yimin C, Lin G, Najibi R, Fernandes S, Retro-Commissioning Sensor Suitcase Plus, 2022

[3] Granderson J, Hu L, Blum D, Spears M, Bonvini M, PlantInsight v1: Modelica model-based optimization and fault diagnostics for central cooling plants, 2018

[4] McQuillen D, Mitchell R, Lin G, Granderson J, Retro-Commissioning Sensor Suitcase, 2017