国家高新技术企业
杭州市西湖区优秀创新人才“325”计划入选单位
杭州市高层次人才项目

Air change rates driven by the flow around and through a building storey with fully open or tilted windows: An experimental and numerical study

DOI：10.1016/j.enbuild.2014.07.020

Online：2014-07-30

Life cycle assessment and life cycle cost implications of wall assemblages designs

DOI：10.1016/j.enbuild.2014.07.041

Received：2013-09-06 ; Revised：2014-06-28 ; Accepted：2014-07-20 ; Online：2014-07-29

Appliance daily energy use in new residential buildings: Use profiles and variation in time-of-use

DOI：10.1016/j.enbuild.2014.07.045

Received：2014-01-28 ; Revised：2014-06-11 ; Accepted：2014-07-21 ; Online：2014-07-29

Development of synthetic hemispheric projections suitable for assessing the sky view factor on horizontal planes

DOI：10.1016/j.enbuild.2014.06.057

Received：2014-03-28 ; Revised：2014-05-28 ; Accepted：2014-06-14 ; Online：2014-07-29

Comparative environmental life cycle assessment of thermal insulation materials of buildings

DOI：10.1016/j.enbuild.2014.05.057

Received：2013-09-17 ; Revised：2014-04-26 ; Accepted：2014-05-05 ; Online：2014-07-29

A composite cylindrical model and its application in analysis of thermal response and performance for energy pile

DOI：10.1016/j.enbuild.2014.07.046

Received：2014-04-03 ; Revised：2014-06-19 ; Accepted：2014-07-21 ; Online：2014-07-28

Alternative strategies for supply air temperature control in office buildings

DOI：10.1016/j.enbuild.2014.06.056

Received：2014-04-02 ; Revised：2014-06-04 ; Accepted：2014-06-25 ; Online：2014-07-28

The effect of mineral micro particle in coating on energy consumption reduction and thermal comfort in a room with a radiation cooling panel in different climates

DOI：10.1016/j.enbuild.2014.07.043

Received：2014-05-15 ; Revised：2014-07-19 ; Accepted：2014-07-19 ; Online：2014-07-27

Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

DOI：10.1016/j.enbuild.2014.07.036

Received：2014-04-15 ; Revised：2014-07-15 ; Accepted：2014-07-16 ; Online：2014-07-27

Modeling and short-term prediction of HVAC system with a clustering algorithm

DOI：10.1016/j.enbuild.2014.07.037

Received：2014-05-12 ; Revised：2014-07-15 ; Accepted：2014-07-16 ; Online：2014-07-27