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

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Building and Environment

ISSN: 0360-1323

官网: https://www.sciencedirect.com/journal/building-and-environment

出版商: Elsevier

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Aims & Scope:

期刊范围

Title Scholar cited Year Review Cycle Accept Cycle

Stakeholder impact analysis during post-occupancy evaluation of green buildings – A Chinese context

DOI:10.1016/j.buildenv.2017.11.014

Received:2017-08-28 ; Revised:2017-11-08 ; Accepted:2017-11-08 ; Online:2017-11-21

- 2018 1.9 2.4

Numerical investigation of SVOC mass transport in a tube by an axisymmetric lattice Boltzmann method

DOI:10.1016/j.buildenv.2017.11.019

Received:2017-08-30 ; Revised:2017-11-05 ; Accepted:2017-11-13 ; Online:2017-11-15

- 2018 1.8 2.5
Prediction model of microclimatic surface conditions on building façades

DOI:10.1016/j.buildenv.2017.11.017

Received:2017-08-08 ; Revised:2017-10-09 ; Accepted:2017-11-12 ; Online:2017-11-15

- 2018 1.6 3.2

Estimation and optimisation of buildings' thermal load using LiDAR data

DOI:10.1016/j.buildenv.2017.11.016

Received:2017-08-22 ; Revised:2017-11-03 ; Accepted:2017-11-12 ; Online:2017-11-15

- 2018 2 2.7

On the performance of LCC optimization software OPERA-MILP by comparison with building energy simulation software IDA ICE

DOI:10.1016/j.buildenv.2017.11.012

Received:2017-07-16 ; Revised:2017-11-06 ; Accepted:2017-11-08 ; Online:2017-11-10

- 2018 3.3 3.8

Study on correlation between air temperature and urban morphology parameters in built environment in northern China

DOI:10.1016/j.buildenv.2017.11.013

Received:2017-09-11 ; Revised:2017-11-08 ; Accepted:2017-11-08 ; Online:2017-11-10

- 2018 1.5 1.9

A human behavior integrated hierarchical model of airborne disease transmission in a large city

DOI:10.1016/j.buildenv.2017.11.011

Received:2017-08-22 ; Revised:2017-10-06 ; Accepted:2017-11-06 ; Online:2017-11-09

- 2018 1 2.5

IFC - Ed. Board

DOI:10.1016/S0360-1323(17)30504-8

Online:2017-11-08

- 2017 - -

A study of hybrid ventilation in an institutional building for predictive control

DOI:10.1016/j.buildenv.2017.11.008

Received:2017-07-25 ; Revised:2017-10-04 ; Accepted:2017-11-05 ; Online:2017-11-07

- 2018 1.9 3.4
Determining the optimal occupancy density for reducing the energy consumption of public office buildings: A statistical approach

DOI:10.1016/j.buildenv.2017.11.010

Received:2017-07-27 ; Revised:2017-10-07 ; Accepted:2017-11-06 ; Online:2017-11-07

- 2018 1.9 3.4