This page has only limited features, please log in for full access.

Unclaimed
Xiaofang Shan
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 15 April 2021 in Sustainability
Reads 0
Downloads 0

With the increasing of building energy consumptions, the related issues of energy crisis and environmental pollution become more and more prominent. As an effective energy-saving technology, the passive house (PH) has been widely applied in China to reduce the building energy utilization. However, the design and application of PH vary with different climate conditions. Therefore, it is significant to conduct the parameterization of PH and propose a suitable design zoning of PH in China. In our study, a comprehensive feasibility analysis of the implementation of PH is performed, which chooses 31 representative cities covering 5 climatic regions. The sensitivity analysis firstly filters the key parameters that heavily affect energy consumption. The results indicate that the key parameters include external wall heat transfer coefficient (WU), basement ceiling heat transfer coefficient (BCU), solar heat gain coefficient (SHGC), glass G value (UG), heat recovery efficiency (HERE) and humidity recovery efficiency (HURE). Then, with the multiple regression approach, the values of key parameters are optimized. Based on the determined values of sensitive parameters, the design zoning of PH in China is finally proposed, which can guide the design of PH as well as enhance the application of PH in China.

ACS Style

Xing Li; Qinli Deng; Zhigang Ren; Xiaofang Shan; Guang Yang. Parametric Study on Residential Passive House Building in Different Chinese Climate Zones. Sustainability 2021, 13, 4416 .

AMA Style

Xing Li, Qinli Deng, Zhigang Ren, Xiaofang Shan, Guang Yang. Parametric Study on Residential Passive House Building in Different Chinese Climate Zones. Sustainability. 2021; 13 (8):4416.

Chicago/Turabian Style

Xing Li; Qinli Deng; Zhigang Ren; Xiaofang Shan; Guang Yang. 2021. "Parametric Study on Residential Passive House Building in Different Chinese Climate Zones." Sustainability 13, no. 8: 4416.

Journal article
Published: 27 August 2020 in Energies
Reads 0
Downloads 0

As most residents spend more than 90% of their time in buildings, acceptable and reasonable control of both indoor thermal comfort and air quality is imperative to ensure occupants’ health status and work productivity. However, current control strategies generally take either thermal comfort or indoor air quality as a single loop, rather than the concurrent control of two. To analyze their mutual influence, this study investigated the performance of three multi-control approaches, i.e., proportional integral derivative (PID) control of thermal comfort and a fixed outdoor air ratio, PID control of thermal comfort and design outdoor air rate, and PID control of thermal comfort and occupancy-based demand-controlled ventilation. As a pilot study, three typical control methods were implemented to a multi-zone building via OpenModelica modeling. The results indicate that indoor air temperature can be well-maintained under three control methods, however, the CO2 concentration under the fixed outdoor air ratio was over 1000 ppm, leading to poor indoor air quality. The control strategy with the design outdoor air rate could not properly ensure the CO2 concentration, due to the over-ventilated or under-ventilated phenomena, subsequently resulting in unnecessary energy waste. The occupancy-based demand controlled ventilation could maintain the CO2 concentration under the set-point with an intermediate power energy utilization.

ACS Style

Wei Wang; Xiaofang Shan; Syed Asad Hussain; Changshan Wang; Ying Ji. Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO2 with OpenModelica Modeling. Energies 2020, 13, 4425 .

AMA Style

Wei Wang, Xiaofang Shan, Syed Asad Hussain, Changshan Wang, Ying Ji. Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO2 with OpenModelica Modeling. Energies. 2020; 13 (17):4425.

Chicago/Turabian Style

Wei Wang; Xiaofang Shan; Syed Asad Hussain; Changshan Wang; Ying Ji. 2020. "Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO2 with OpenModelica Modeling." Energies 13, no. 17: 4425.