Huajing Sha

Huajing Sha
Tongji University · Architecture and Urban Space Research Institute

About

14
Publications
2,810
Reads
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192
Citations
Citations since 2017
11 Research Items
192 Citations
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2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
Introduction
Huajing Sha currently works at the College of Mechanical and Thermal Engineering , Tongji University. Huajing does research in IFC based HVAC automatic design, machine learning, building energy management, building simulation .

Publications

Publications (14)
Data
This is a dataset used in EnergyDetective 2020, which is a competition on building energy consumption prediction hold in 2020 by Xupeng Research Group. With the prediction case provided in the competition, which is to predict the energy consumption of a building with some physical information but without historical data of its own, the dataset wil...
Article
Building heating, ventilation, and air conditioning (HVAC) systems consume large amounts of energy, and precise energy prediction is necessary for developing various energy-efficiency strategies. Energy prediction using data-driven models has received increasing attention in recent years. Typically, two types of driven models are used for building...
Article
Although computer technologies have greatly advanced in recent years and help engineers improve work efficiency, the heating, ventilation, and air conditioning (HVAC) design process is still very time-consuming. In this paper, we propose a conceptual framework for automating the entire design process to replace current human-based HVAC design proce...
Article
With the evolution of new energy and carbon trading systems, it is important to accurately predict building energy consumption to help energy arrangements. Additionally, the widespread use of smart meters has introduced a new data context for building energy prediction. Building energy prediction techniques need improvement but the ideas of various...
Article
The peak load caused by heating, ventilation, and air-conditioning (HVAC) systems is one of the main control targets of a demand response (DR) program. One key issue related to DR is the baseline energy consumption forecasting based on which the DR strategies and performance can be evaluated. Data-driven models, as a promising method for HVAC energ...
Article
Heating, ventilation, and air conditioning (HVAC) systems, combined with the internal thermal mass of buildings, have been deemed to be promising means of providing demand response (DR) resources, particularly for buildings with active energy storage systems. DR resources, such as peak-load reduction potential, can provide grid-responsive support r...
Article
Electric demand flexibility in buildings has been deemed to be a promising demand response resource, particularly for large commercial buildings, and it can provide grid-responsive support. A building with a higher electricity flexibility potential has a higher degree of involvement with the grid response. If the electricity flexibility potential o...
Article
Full-text available
Traditional HVAC design process contains a large amount of time-consuming work such as load calculation for each space, hydraulic calculation to determine duct size and careful duct layout arrangement to avoid collision. Computer is more suitable for such kind of "dumb" work with higher efficiency and less fault. Also present building design work i...
Article
Full-text available
Shading system plays a significant role in reducing building energy demand. To analyse the performance of a shading system, traditional method is either conducting experimental tests for solar heat gain coefficient (SHGC) or through detailed energy simulation for energy saving during specific period. But no simulation tool is able to accomplish the...
Conference Paper
Full-text available
Future hourly Typical Meteorological Year (TMY) weather file is a prerequisite for utilization of building energy simulation software to estimate the impact of global climate change on building energy demand. On basis of Intergovernmental Panel on Climate Change - IPCC’s latest predictions, this paper produces future TMYs of three representative ci...

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