Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport-Reference-Cited by-同舟云学术

Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport

Published:2022-12 Issue: Volume:201 Page:100-116
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Shi Hao,Xu Huining,Tan Yiqiu,Li Qiang,Yi Wei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference43 articles.

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3. Structural investigation of the snow-melting heated bridge deck based on the thermal field distribution;Liu;Appl. Therm. Eng.,2019

4. Experimental study of a snow melting system: state-of-practice deicing technology;Ho;Environ. Sustain. Transport. Infrastruct.,2015

5. Experimental and numerical analysis of the critical heating strategy for hydronic heated snow melting airfield runway;Tan;Appl. Therm. Eng.,2020

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3. The design and operation optimization for conductive rubber heated snow melting bridge deck pavement;Numerical Heat Transfer, Part A: Applications;2024-01-08