Haoqi Duan

Dr. Haoqi Duan

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
YDYu Dong
Yu Dong
HDHaoqi Duan
Haoqi Duan
XLXueshun Li
Xueshun Li
RZRuinan Zhang
Ruinan Zhang
In this study, the influence of the gymnasium building form on energy consumption and photovoltaic (PV) potential was investigated to address its high energy consumption and carbon emissions issues. Five cities in different climate zones in China (Harbin, Beijing, Shanghai, Guangzhou, and Kunming) were selected as case study environments to simulate and calculate the energy use intensity (EUI), photovoltaic power generation potential (PVPG), and CO2 emission (CE) indicators for 10 typical gymnasium building forms, while also assessing the impact of building orientation. This study found that changes in gymnasium building orientation can cause a 0.5–2.5% difference in EUI under the five climatic conditions, whereas changes in building form can cause a 1.9–6.4% difference in EUI. After integrating a building-integrated photovoltaic (BIPV) system on the roof, changes in building orientation and form can lead to a 0–14.4% and 7.6–11.1% difference in PVPG and a 7.8–68.1% and 8.7–72.0% difference in CE. The results demonstrate that both the choice of form and orientation contribute to a reduction in carbon emissions from BIPV gymnasiums, with the rational choice of form having a higher potential for carbon savings than orientation. These research findings can guide the initial selection of gymnasium designs to pursue low-carbon goals.


10 December 2024 in Solar Energy
Verified
Journal Article
Closed access
HDHaoqi Duan
Haoqi Duan
YDYu Dong
Yu Dong
KHKuntong Huang
Kuntong Huang
RZRuinan Zhang
Ruinan Zhang

23 October 2020
Verified
Conference Paper
Closed access
XGXiangping Gao
Xiangping Gao
CZChao Zhang
Chao Zhang
HDHaoqi Duan
Haoqi Duan
Most of the existing vehicle-loaded video surveillance systems aim at recoding and analyzing the outer circumstance of the vehicles. The inside drivers' and passengers' motion and status, however, are also greatly related to vehicles' running safety. In this paper, we combined Spatial-Temporal Entropy Image (STEI) with Independent Component Analysis (ICA) to deal with in-vehicle scenes, which are usually contain dynamic background and subtle motions. The entropy which denotes the temporal discrimination of local areas is computed. Meanwhile, the short-term accumulation of the independent dynamic component is subtracted to extract drivers and passengers from an in-vehicle scene. The quantitative evaluation from experimental results show that the improved STEI achieves a better detection performance with a reasonable cost of tiny increase on false alarms.