科研项目
[1] 2023.12-2027.11:中温冷水集中空调系统负荷预测与耦合联动控制策略研究,十四五国家重点研发计划子课题,主持。(在研)
[2] 2024.12-2025.06:通信机房能耗仿真平台算法开发,企业委托课题,主持。(在研)
[3] 2024.01-2025.12:数据中心动态PUE及运维阶段碳排放计算模型开发,企业委托课题,主持。(在研)
[4] 2024.01-2025.12:“物理-数据”双驱动的地铁车站变压器定容方法研究,企业委托课题,主持。(在研)
[5] 2022.01-2025.12:热-湿-盐多强场耦合作用下海岛建筑表面换热系数研究,国家自然科学基金面上项目,参与。(在研)
[6] 2020.01-2022.12:基于建筑运行数据分布式建模的空调负荷预测方法研究,国家自然科学基金青年项目,主持。(已结题)
[7] 2021.07-2022.07:绿色住宅建筑碳排放强度区间模拟测算,企业委托课题,主持。(已结题)
[8] 2020.09-2022.08:集中供热系统热力站动态负荷预测模型开发,企业委托课题,主持。(已结题)
[9] 2018.07-2021.06:基于人员满意度的建筑运营成本快速建模与评价方法研究,十三五国家重点研发计划子课题,主持。(已结题)
[10] 2017.12-2019.05:空调系统夏季运行故障诊断大数据模型及其关键技术研究,中国博士后科学基金,主持。(已结题)
[11] 2020.01-2020.12:北方城镇供暖节能型低温供暖新模式,中国工程院咨询项目,参与。(已结题)
[12]2018.01-2020.12:绿色建筑室内环境与节能技术,北京市青年拔尖团队项目,中共北京市委组织部,参与。(已结题)
主要论文著作
[1] Huihui Lian, Ying Ji*, Menghan Niu, Jiefan Gu, Jingchao Xie, Jiaping Liu. A hybrid load prediction method of office buildings based on physical simulation database and LightGBM algorithm. Applied Energy, 2025, 377 (1): 124620.
[2] Ying Ji, Qianwen Lu, Menghan Niu, Nan Zhang*, Jingchao Xie, Research on the characteristics and influence factors of residential building energy usage patterns: A case study in Beijing. Energy for Sustainable Development, 2025, 85 (4): 101654.
[3] Ying Ji*, Xiang Chen, Xinyu Yang, Xinyue Wang, Xiaoxia Wang, Jingchao Xie ,Guidong Ju. Research on the framework and meteorological parameter optimization method of dynamic heating load prediction model for heat-exchange stations. Energy, 2024, 309 (11): 133125.
[4] Miao Zhao, Ying Ji *, Jingchao Xie, Peng Yin, Jiaping Liu. Understanding patterns of adaptive comfort behavior in university graduate research offices–––A case study of a university in Beijing. Energy and Buildings, 2024, 307 (3) :113945.
[5] Menghan Niu, Ying Ji*, Miao Zhao, Jiefan Gu, Aonan Li. A study on carbon emission calculation in operation stage of residential buildings based on micro electricity usage behavior Three case studies in China. Building Simulation, 2024, 17 (1), 147–164. (期刊推广报道)
[6] Nan Zhang, ……, Ying Ji*. Building energy efficiency and COVID-19 infection risk: Lessons from office room management. Building Simulation, 2023, 16 (7), 1425–1438.
[7] Ying Ji, Peng Xu*, Pengfei Duan, Xing Lu. Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data. Applied Energy. 2016,169 (5): 309–323.
[8] Ying Ji, Peng Xu*. A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity submetering data. Energy. 2015, 93(12): 2337–2350.
[9] 姬颖*, 连会会, 陈永保, 谢静超, 刘加平. 基于庞大算例变量提取的办公建筑能耗预测方法及应用. 北京工业大学学报, 2023, 49(3): 386-394.
[10] 张广凯, 姬颖*, 谢静超. 基于N-LCC模型的酒店建筑冷热源方案评价方法研究. 建筑节能, 2023, 51(3): 66-72. (期刊封面论文)
[11] 一种基于跨季节蓄热的可再生能源一体化互补利用系统. 发明专利,授权.
[12] 基于人员满意度的建筑运营成本测算软件. 软件著作权.
[13] 热回收新风机组季节性能系数测试和计算方法 第1部分:供热显热回收季节性能系数, 国标, 2025.
[14] 建筑领域绿色低碳发展技术路线图, 中国建筑工业出版社, 2022.
更新于2025年2月13日