IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v80y2015icp666-676.html
   My bibliography  Save this article

Modeling and operation strategy of pavement snow melting systems utilizing low-temperature heating fluids

Author

Listed:
  • Xu, Huining
  • Tan, Yiqiu

Abstract

A heat and mass coupled model is developed for the pavement snow melting systems that utilize low-temperature heating fluids. This model is implemented in HVACSIM (heating ventilation air conditioning SIMulation) Plus and used to simulate the performance of hydronically heated pavement. The model is validated by tested data from medium-scale snow melting experiments performed at the Harbin Institute of Technology. Validated results suggest the significant improvement in simulating the performance of hydronically heated pavement by the inclusion in the model of mass transport process. Existing literature claims that the typical hydronic snow melting process consists of three sub-stages: the idling stage, the snow melting stage, and the after melting stage; this is adopted for the analysis of snow melting performance of the model, including its given heating capacity, equivalent snowfall rate, and weather conditions. Ambient temperature and heating load play a dominant role among the decision variables at the idling and after melting stages, while heating load and equivalent snowfall rate are the two major factors of snow melting performance at the snow melting stage. Based on the two main sources of impact for each sub-stage, the performance-energy consumption-environmental relation is quantitatively determined and the operation strategy for hydronically heated pavement is proposed to balance snow melting performance, environmental criteria, and energy consumption.

Suggested Citation

  • Xu, Huining & Tan, Yiqiu, 2015. "Modeling and operation strategy of pavement snow melting systems utilizing low-temperature heating fluids," Energy, Elsevier, vol. 80(C), pages 666-676.
  • Handle: RePEc:eee:energy:v:80:y:2015:i:c:p:666-676
    DOI: 10.1016/j.energy.2014.12.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214013802
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2014.12.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kececioglu, Ifiyenia & Lin, Yi, 1993. "Melting of a porous medium saturated with water near its density maximum," Energy, Elsevier, vol. 18(9), pages 913-931.
    2. Jaakko Putkonen, 2003. "Determination of frozen soil thermal properties by heated needle probe," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 14(4), pages 343-347, October.
    3. Shirazi, Ali & Najafi, Behzad & Aminyavari, Mehdi & Rinaldi, Fabio & Taylor, Robert A., 2014. "Thermal–economic–environmental analysis and multi-objective optimization of an ice thermal energy storage system for gas turbine cycle inlet air cooling," Energy, Elsevier, vol. 69(C), pages 212-226.
    4. Ghasemi, Hadi & Paci, Marco & Tizzanini, Alessio & Mitsos, Alexander, 2013. "Modeling and optimization of a binary geothermal power plant," Energy, Elsevier, vol. 50(C), pages 412-428.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuanlong Cui & Fan Zhang & Yiming Shao & Ssennoga Twaha & Hui Tong, 2022. "Techno-Economic Comprehensive Review of State-of-the-Art Geothermal and Solar Roadway Energy Systems," Sustainability, MDPI, vol. 14(17), pages 1-50, September.
    2. Kim, Sunuk & Oh, Han Jin & Han, Sang Ju & Ko, Han Seo & Shin, Youhwan & Shin, Dong Ho, 2022. "Development of black-ice removal system with latent heat thermal energy storage and solar thermal collectors," Energy, Elsevier, vol. 244(PA).
    3. Ghalandari, Taher & Hasheminejad, Navid & Van den bergh, Wim & Vuye, Cedric, 2021. "A critical review on large-scale research prototypes and actual projects of hydronic asphalt pavement systems," Renewable Energy, Elsevier, vol. 177(C), pages 1421-1437.
    4. Shi, Hao & Xu, Huining & Tan, Yiqiu & Li, Qiang & Yi, Wei, 2022. "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, Elsevier, vol. 201(P2), pages 100-116.
    5. Ghalandari, Taher & Baetens, Robin & Verhaert, Ivan & SNM Nasir, Diana & Van den bergh, Wim & Vuye, Cedric, 2022. "Thermal performance of a controllable pavement solar collector prototype with configuration flexibility," Applied Energy, Elsevier, vol. 313(C).
    6. Xu, Huining & Shi, Hao & Tan, Yiqiu & Ye, Qing & Liu, Xiujie, 2022. "Modeling and assessment of operation economic benefits for hydronic snow melting pavement system," Applied Energy, Elsevier, vol. 326(C).
    7. Cao, Yangsen & Sha, Aimin & Liu, Zhuangzhuang & Luan, Bo & Li, Jiarong & Jiang, Wei, 2020. "Electric energy output model of a piezoelectric transducer for pavement application under vehicle load excitation," Energy, Elsevier, vol. 211(C).
    8. Jasim, Abbas & Wang, Hao & Yesner, Greg & Safari, Ahmad & Maher, Ali, 2017. "Optimized design of layered bridge transducer for piezoelectric energy harvesting from roadway," Energy, Elsevier, vol. 141(C), pages 1133-1145.
    9. Han, Chanjuan & Yu, Xiong (Bill), 2017. "Feasibility of geothermal heat exchanger pile-based bridge deck snow melting system: A simulation based analysis," Renewable Energy, Elsevier, vol. 101(C), pages 214-224.
    10. Stefan Blomqvist & Shahnaz Amiri & Patrik Rohdin & Louise Ödlund, 2019. "Analyzing the Performance and Control of a Hydronic Pavement System in a District Heating Network," Energies, MDPI, vol. 12(11), pages 1-23, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Tailu & Zhu, Jialing & Hu, Kaiyong & Kang, Zhenhua & Zhang, Wei, 2014. "Implementation of PDORC (parallel double-evaporator organic Rankine cycle) to enhance power output in oilfield," Energy, Elsevier, vol. 68(C), pages 680-687.
    2. Davide Toselli & Florian Heberle & Dieter Brüggemann, 2019. "Techno-Economic Analysis of Hybrid Binary Cycles with Geothermal Energy and Biogas Waste Heat Recovery," Energies, MDPI, vol. 12(10), pages 1-18, May.
    3. Zhang, Haitian & Feng, Xiao & Wang, Yufei, 2018. "Comparison and evaluation of air cooling and water cooling in resource consumption and economic performance," Energy, Elsevier, vol. 154(C), pages 157-167.
    4. Ghasemi, Hadi & Sheu, Elysia & Tizzanini, Alessio & Paci, Marco & Mitsos, Alexander, 2014. "Hybrid solar–geothermal power generation: Optimal retrofitting," Applied Energy, Elsevier, vol. 131(C), pages 158-170.
    5. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    6. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    7. Stijepovic, Mirko Z. & Papadopoulos, Athanasios I. & Linke, Patrick & Grujic, Aleksandar S. & Seferlis, Panos, 2014. "An exergy composite curves approach for the design of optimum multi-pressure organic Rankine cycle processes," Energy, Elsevier, vol. 69(C), pages 285-298.
    8. Shirazi, Ali & Taylor, Robert A. & White, Stephen D. & Morrison, Graham L., 2016. "Transient simulation and parametric study of solar-assisted heating and cooling absorption systems: An energetic, economic and environmental (3E) assessment," Renewable Energy, Elsevier, vol. 86(C), pages 955-971.
    9. Fechner, Dorothee & Kondek, Milena & Kölbel, Thomas & Kolb, Jochen, 2022. "CO2 handling in binary geothermal systems — A modelling approach for different CO2 contents, salinity, pressure and temperature conditions," Renewable Energy, Elsevier, vol. 201(P1), pages 780-791.
    10. Najjar, Yousef S.H. & Abubaker, Ahmad M. & El-Khalil, Ahmad F.S., 2015. "Novel inlet air cooling with gas turbine engines using cascaded waste-heat recovery for green sustainable energy," Energy, Elsevier, vol. 93(P1), pages 770-785.
    11. Mahdi Deymi-Dashtebayaz & Parisa Kazemiani-Najafabad, 2019. "Energy, Exergy, Economic, and Environmental analysis for various inlet air cooling methods on Shahid Hashemi-Nezhad gas turbines refinery," Energy & Environment, , vol. 30(3), pages 481-498, May.
    12. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    13. Liu, Qiang & Shang, Linlin & Duan, Yuanyuan, 2016. "Performance analyses of a hybrid geothermal–fossil power generation system using low-enthalpy geothermal resources," Applied Energy, Elsevier, vol. 162(C), pages 149-162.
    14. Taimoor, Aqeel Ahmad & Muhammad, Ayyaz & Saleem, Waqas & Zain-ul-abdein, Muhammad, 2016. "Humidified exhaust recirculation for efficient combined cycle gas turbines," Energy, Elsevier, vol. 106(C), pages 356-366.
    15. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    16. Zhang, Yuanzhe & Liu, Pei & Li, Zheng, 2023. "Gas turbine off-design behavior modelling and operation windows analysis under different ambient conditions," Energy, Elsevier, vol. 262(PA).
    17. Lee, Ung & Mitsos, Alexander, 2017. "Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification," Energy, Elsevier, vol. 127(C), pages 489-501.
    18. Osman Özkaraca & Pınar Keçebaş & Cihan Demircan & Ali Keçebaş, 2017. "Thermodynamic Optimization of a Geothermal- Based Organic Rankine Cycle System Using an Artificial Bee Colony Algorithm," Energies, MDPI, vol. 10(11), pages 1-28, October.
    19. Chen, Hao & Zhao, Li & Cong, Haifeng & Li, Xingang, 2022. "Synthesis of waste heat recovery using solar organic Rankine cycle in the separation of benzene/toluene/p-xylene process," Energy, Elsevier, vol. 255(C).
    20. Haghighat Mamaghani, Alireza & Najafi, Behzad & Shirazi, Ali & Rinaldi, Fabio, 2015. "4E analysis and multi-objective optimization of an integrated MCFC (molten carbonate fuel cell) and ORC (organic Rankine cycle) system," Energy, Elsevier, vol. 82(C), pages 650-663.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:80:y:2015:i:c:p:666-676. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.