Jiachen Mao

ORCID: 0000-0003-0504-6529
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About
Contact & Profiles
Research Areas
  • Building Energy and Comfort Optimization
  • Wind and Air Flow Studies
  • Urban Heat Island Mitigation
  • Hybrid Renewable Energy Systems
  • Geothermal Energy Systems and Applications
  • Energy Efficiency and Management
  • Sustainable Building Design and Assessment
  • Infection Control and Ventilation
  • Smart Grid Energy Management
  • Facilities and Workplace Management
  • Heat Transfer and Optimization
  • Advanced Battery Technologies Research
  • Architecture and Computational Design
  • Hydrological Forecasting Using AI
  • Phase Change Materials Research
  • Integrated Energy Systems Optimization
  • Water Quality Monitoring Technologies
  • Greenhouse Technology and Climate Control
  • Financial Markets and Investment Strategies
  • Fuzzy Logic and Control Systems
  • Corporate Finance and Governance
  • Private Equity and Venture Capital
  • Electric Vehicles and Infrastructure
  • Noise Effects and Management

Massachusetts Institute of Technology
2016-2021

Decision Systems (United States)
2020-2021

Tongji University
2014-2016

A seasonal solar soil heat storage (SSSHS) system applied in greenhouse heating has been designed and introduced. The consists of collector subsystem, hydronic subsystem control subsystem. By applying storage, energy stored the under can be transferred utilized winter to realize utilization cross-seasonal energy. TRNSYS is used simulate process effect collection Shanghai, simulation calibrated improve precision model. When indoor air temperature kept at 12°C throughout year, saving by using...

10.4028/www.scientific.net/amm.672-674.21 article EN Applied Mechanics and Materials 2014-10-01

This paper proposed a prediction approach for the performance of mechanical draft wet cooling tower based on artificial neural network (ANN). The inlet water temperature, ambient bulb temperature and ratio to air mass flow rate in were selected as input parameters four-layer back propagation (BPNN) predict at outlet. After test available data set, BPNN results correlation coefficient 0.9 between predicted experimental values. Thus is good such proves be feasible effective.

10.4028/www.scientific.net/amr.1070-1072.1994 article EN Advanced materials research 2014-12-01

In the traditional concept, performance of internal shading system is inferior compared with that external one. actual projects, however, shadings are subject to severe limitations due damage artistic appearance in building design, high initial investment and difficult maintenance late stage. Besides, residential buildings measures single, mainly including shadings, window types quite similar. Therefore, through theoretical calculation experimental test this paper, feasibility substituting...

10.4028/www.scientific.net/amm.672-674.546 article EN Applied Mechanics and Materials 2014-10-01

10.1016/j.compenvurbsys.2015.12.004 article EN Computers Environment and Urban Systems 2016-02-03

10.26868/25222708.2015.2896 article EN Building Simulation Conference proceedings 2015-12-07
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