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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Energy and Buildings

ISSN: 0378-7788

官网: https://www.sciencedirect.com/journal/energy-and-buildings

出版商: Elsevier

Title Scholar cited Year Review Cycle Accept Cycle

Field test and CFD modeling for flow characteristics in central cooking exhaust shaft of a high-rise residential building

DOI:10.1016/j.enbuild.2017.04.056

Received:2016-09-07 ; Revised:2017-03-21 ; Accepted:2017-04-21 ; Online:2017-04-27

- 2017 6 7.5
Uncertainty analysis of thermal comfort in a prototypical naturally ventilated office building and its implications compared to deterministic simulation

DOI:10.1016/j.enbuild.2017.04.068

Received:2017-01-13 ; Revised:2017-04-12 ; Accepted:2017-04-21 ; Online:2017-04-27

- 2017 2.5 3.3
A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

DOI:10.1016/j.enbuild.2017.04.065

Received:2017-01-17 ; Revised:2017-03-10 ; Accepted:2017-04-21 ; Online:2017-04-27

- 2017 1.3 3.1

Investigation of liquid desiccant regenerator with heat recovery heat pipe system

DOI:10.1016/j.enbuild.2017.04.057

Received:2016-09-01 ; Revised:2017-02-22 ; Accepted:2017-04-21 ; Online:2017-04-27

- 2017 5.3 7.7

Control strategies for Energy Recovery Ventilators in the South of Europe for residential nZEB—Quantitative analysis of the air conditioning demand

DOI:10.1016/j.enbuild.2017.04.058

Received:2016-11-14 ; Revised:2017-03-17 ; Accepted:2017-04-21 ; Online:2017-04-27

- 2017 3.6 5.3

Evaluation of the space heating need in residential buildings at territorial scale: The case of Canton Ticino (CH)

DOI:10.1016/j.enbuild.2017.04.061

Received:2016-10-24 ; Revised:2017-02-13 ; Accepted:2017-04-21 ; Online:2017-04-26

- 2017 3.3 6
Study on thermal pressure in a sloping underground tunnel under natural ventilation

DOI:10.1016/j.enbuild.2017.04.060

Received:2016-05-19 ; Revised:2017-03-09 ; Accepted:2017-04-21 ; Online:2017-04-26

- 2017 9.3 11.2
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks

DOI:10.1016/j.enbuild.2017.04.032

Received:2016-10-13 ; Revised:2017-04-07 ; Accepted:2017-04-09 ; Online:2017-04-26

- 2017 5.4 5.9

CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit, feasible for any building

DOI:10.1016/j.enbuild.2017.04.069

Received:2016-12-15 ; Revised:2017-02-27 ; Accepted:2017-04-21 ; Online:2017-04-26

- 2017 2 4.2

Research on ventilation cooling system of communication base stations for energy saving and emission reduction

DOI:10.1016/j.enbuild.2017.04.075

Received:2016-08-02 ; Revised:2016-12-18 ; Accepted:2017-04-24 ; Online:2017-04-25

- 2017 4.1 8.8