Importance-driven approach for reducing urban radiative exchange computations-Reference-Cited by-同舟云学术

Importance-driven approach for reducing urban radiative exchange computations

Published:2018-11-12 Issue:2 Volume:12 Page:231-246
ISSN:1996-3599
Container-title:Building Simulation
language:en
Short-container-title:Build. Simul.

Author:

Aguerre José Pedro,Fernández Eduardo,Beckers Benoit

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Building and Construction

Link

http://link.springer.com/content/pdf/10.1007/s12273-018-0482-4.pdf

Reference54 articles.

1. Aguerre JP, Fernández E, Besuievsky G, Beckers B (2017). Computing urban radiation: A sparse matrix approach. Graphical Models, 91: 1–11.

2. Ashdown I, Jackson C, Spahn J, Saemisch T (2017). Licaso and daysim. Technical report, Lighting Analysts Inc.

3. Beckers B (2013a). Solar Energy at Urban Scale. Hoboken, NJ, USA: John Wiley & Sons.

4. Beckers B (2013b). Taking advantage of low radiative coupling in 3D urban models. In: Proceedings of the Eurographics Workshop on Urban Data Modelling and Visualisation.

5. Bekaert P, Willems YD (1995). Importance-driven progressive refinement radiosity. In: Hanrahan PM, Purgathofer W (eds), Rendering Techniques’ 95. Eurographics. Vienna: Springer, pp. 316–325.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model of Spectral and Directional Radiative Transfer in Complex Urban Canopies with Participating Atmospheres;Boundary-Layer Meteorology;2022-10-13

2. Radiative Exchanges in the Dense City;PoliTO Springer Series;2021

3. Method of Infrared Reflectors Choice for Electrotechnical Polymeric Insulation Energy-Efficient Drying;International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019;2020-08-18

4. Physically Based Simulation and Rendering of Urban Thermography;Computer Graphics Forum;2020-06-28

5. Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation;Environment and Planning B: Urban Analytics and City Science;2020-05-07