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

Renewable Energy - Tập 201 - Trang 100-116 - 2022
Hao Shi1, Huining Xu1, Yiqiu Tan2, Qiang Li3, Wei Yi3
1School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
2State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China
3China Airport Construction Group Corporation, Beijing 100621, China

Tài liệu tham khảo

Ghalandari, 2021, A critical review on large-scale research prototypes and actual projects of hydronic asphalt pavement systems, Renew. Energy, 177, 1421, 10.1016/j.renene.2021.06.010 Liu, 2019, Sensitivity analysis and optimum design of a hydronic snow melting system during snowfall, Phys. Chem. Earth, 113, 31, 10.1016/j.pce.2019.01.009 Liu, 2019, Structural investigation of the snow-melting heated bridge deck based on the thermal field distribution, Appl. Therm. Eng., 161, 10.1016/j.applthermaleng.2019.114132 Ho, 2015, Experimental study of a snow melting system: state-of-practice deicing technology, Environ. Sustain. Transport. Infrastruct., 162, 10.1061/9780784479285.014 Tan, 2020, Experimental and numerical analysis of the critical heating strategy for hydronic heated snow melting airfield runway, Appl. Therm. Eng., 178 Schnurr, 1970, Heat transfer design data for optimization for snow melting system, Build. Eng., 76, 257 Kilkis, 1994, Design of embedded snow-melting system. Part II: heat transfer in the pavement -a simplified model, Build. Eng., 100, 434 Nagai, 2009, Experimental demonstrations and optimal design conditions of snow-melting system using geothermal and solar energy Rees, 2002, Transient analysis of snow-melting system performance, Build. Eng., 108, 406 Liu, 2007, Modeling snow melting on heated pavement surfaces. Part I: model development, Appl. Therm. Eng., 27, 1115, 10.1016/j.applthermaleng.2006.06.017 Liu, 2007, Modeling snow melting on heated pavement surfaces. Part II: experimental validation, Appl. Therm. Eng., 27, 1125, 10.1016/j.applthermaleng.2006.07.029 Xu, 2012, Development and testing of heat and mass coupled model of snow melting for hydronically heated pavement, Transport. Res. Rec.: J. Transport. Res. Board, 2282, 14, 10.3141/2282-02 Zhao, 2020, Thermal performances of porous snow by a hydronic heating system at different weather conditions, J. Therm. Anal. Calorim., 141, 1519, 10.1007/s10973-020-09436-x Zhao, 2020, Optimization design of the road unit in a hydronic snow melting system with porous snow, J. Therm. Anal. Calorim., 141, 1509, 10.1007/s10973-020-09689-6 Mirzanamadi, 2020, Coupling a hydronic heating pavement to a horizontal ground heat exchanger for harvesting solar energy and heating road surfaces, Renew. Energy, 147, 447, 10.1016/j.renene.2019.08.107 Liu, 2021, The accumulated stress damage and residual life prediction of unreinforced concrete pavement with electric heating pipes, Construct. Build. Mater., 278, 10.1016/j.conbuildmat.2021.122258 Ryu, 2019, Small-scale experimental study on thermal performance of snow melting system using low temperature heat source and highly thermal conductive concrete, J. KIAEBS, 13, 165 Vasilyev, 2015, Atmospheric air -the effective source of low-grade thermal energy for heat pump snow melting systems under climatic conditions of moscow, MATEC Web of Conf., 30, 10.1051/matecconf/20153005001 Xu, 2018, Investigation of design alternatives for hydronic snow melting pavement systems in China, J. Clean. Prod., 170, 1413, 10.1016/j.jclepro.2017.09.262 Shen, 2016, Life cycle assessment of heated apron pavement system operations, Transport. Res. Part D, 48, 316, 10.1016/j.trd.2016.08.006 Xu, 2015, Modeling and operation strategy of pavement snow melting systems utilizing low-temperature heating fluids, Energy, 80, 666, 10.1016/j.energy.2014.12.022 Liu, 2019, Feasibility study of snow melting system for bridge decks using geothermal energy piles integrated with heat pump in Canada, Renew. Energy, 136, 1266, 10.1016/j.renene.2018.09.109 Wang, 2021, Time-cost-quality trade-off analysis for planning construction projects, Eng. Construct. Architect. Manag., 28, 82, 10.1108/ECAM-12-2017-0271 Alirahmi, 2020, Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy, Energy Convers. Manag., 205, 10.1016/j.enconman.2019.112426 Breen, 2020, Photovoltaic systems on dairy farms: financial and renewable multi-objective optimization (FARMOO) analysis, Appl. Energy, 278, 10.1016/j.apenergy.2020.115534 Yarmohammadi, 2020, Multi-objective optimization of thermal and flow characteristics of R-404A evaporation through corrugated tubes, J. Energy Storage, 27, 10.1016/j.est.2019.101137 Aresti, 2021, An investigation on the environmental impact of various Ground Heat Exchangers configurations, Renew. Energy, 171, 592, 10.1016/j.renene.2021.02.120 Cai, 2020, Design method of the thermosyphon embankment in permafrost region based on principle of heat balance, Rock Soil Mech., 41, 3769 Xu, 2014, The relative importance of moisture transfer, soil freezing and snow cover on ground temperature predictions, Renew. Energy, 72, 1, 10.1016/j.renene.2014.06.044 Yang, 2020, Influence of temperature change on deformation of coarse-grained sulfate saline soil subgrade, China J. Highw. Transp., 33, 64 Puppala, 2022, Identification and analysis of barriers for harnessing geothermal energy in India, Renew. Energy, 186, 327, 10.1016/j.renene.2022.01.002 Sareh, 2021, Multi-objective optimization of envelope components for a prefabricated house in six climate zones, Appl. Energy, 282 Zhang, 2019, Long-term thermal analysis of an airfield-runway snow-melting system utilizing heat-pipe technology, Energy Convers. Manag., 186, 473, 10.1016/j.enconman.2019.03.008 Ascione, 2019, A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin, Appl. Energy, 241, 331, 10.1016/j.apenergy.2019.03.028 Arrif, 2022, GA-Goa hybrid algorithm and comparative study of different metaheuristic population-based algorithms for solar tower heliostat field design, Renew. Energy, 192, 745, 10.1016/j.renene.2022.04.162 Su, 2019, An online variable-fidelity optimization approach for multi-objective design optimization, Struct. Multidiscip. Optim., 60, 1059, 10.1007/s00158-019-02256-0 Pereira, 2019, Optimization assessment of the energy performance of a BIPV/T-PCM system using Genetic Algorithms, Renew. Energy, 137, 157, 10.1016/j.renene.2018.06.118 Nassef, 2019, Maximizing SOFC performance through optimal parameters identification by modern optimization algorithm, Renew. Energy, 138, 458, 10.1016/j.renene.2019.01.072 Li, 2020, A multi-agent complex network algorithm for multi-objective optimization, Appl. Intell., 50, 2690, 10.1007/s10489-020-01666-8 Motlagh, 2020, Multi-objective optimization of diesel injection parameters in a natural gas/diesel reactivity controlled compression ignition engine, Appl. Energy, 279, 10.1016/j.apenergy.2020.115746 Rashid, 2022, Optimization of hydropower and related benefits through Cascade Reservoirs for sustainable economic growth, Renew. Energy, 185, 241, 10.1016/j.renene.2021.12.073 Liu, 2017, Multi-objective optimization of the design and operation for snow-melting pavement with electric heating pipes, Appl. Therm. Eng., 122, 359, 10.1016/j.applthermaleng.2017.05.033 Gunpinar, 2019, A multi-criteria based selection method using non-dominated sorting for genetic algorithm based design, Optim. Eng., 21, 1319, 10.1007/s11081-019-09477-8