TY - JOUR A1 - Ahmed, Arslan A1 - Conti, Fosca A1 - Bayer, Peter A1 - Goldbrunner, Markus T1 - Hydronic Road-Heating Systems BT - Environmental Performance and the Case of Ingolstadt Ramps JF - Environmental and Climate Technologies N2 - Snowfall and ice formation on road surface significantly impact the safety of driving conditions. To resolve this, every year salt and de-icing chemicals are sprinkled on roads. However, use of salts and snow ploughing have environmental as well as economical disadvantages. To resolve these problems, hydronic road heating systems are valid alternatives. Heat transfer fluid, i.e. mixture of ethanol and water, is pumped into a tubular circulation system under the asphalt. By this technology, the road and pavements shall stay ice-free even in times of snowfall and temperatures below the freezing point. The system can also be used to cool the asphalt in case of extreme heat, which – besides the heating effect – could also prevent road from damages in extreme summers. This study aims to compare the environmental impact of use of salts and road-heating system in terms of GHG emissions. To assess the environmental impact, an operational road heating system for a ramp in Ingolstadt, Germany, is considered. A cradle-to-grave analysis technique is used to determine the environmental effects based on a life-cycle assessment (LCA) framework. The analysis includes nine components solemnly responsible for hydronic heating of asphalt surface such as local heating pipe, insulation, pumps, and heat meters. Comparison is performed in terms of relative and total impact over 50-year lifetime of three heated ramps having 1989 m2 surface area in total. The results show that the asphalt and heating-circuit causes the major fraction (65 %) of overall GHG emissions, with total life-time emissions of 28.10 kg CO2 eq./m2 of heated surface. During an operational life of 50 years, road heating systems emit 18 % less CO2 eq./m2 as compared to the use of salts. UR - https://doi.org/10.2478/rtuect-2022-0078 KW - Environmental performance KW - de-icing KW - hydronic road-heating system (HRS) KW - greenhouse gases (GHG) KW - Life cycle assessment (LCA) KW - snow removal Y1 - 2022 UR - https://doi.org/10.2478/rtuect-2022-0078 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-35248 SN - 2255-8837 VL - 26 IS - 1 SP - 1044 EP - 1054 PB - De Gruyter Poland CY - Warsaw ER - TY - JOUR A1 - Ahmed, Arslan A1 - Conti, Fosca A1 - Schießl-Widera, Michael A1 - Goldbrunner, Markus T1 - CFD-Based Sensitivity-Analysis and Performance Investigation of a Hydronic Road-Heating System JF - Energies N2 - To minimize the impact of snowfall and ice formation on safety of transportation, salt is sprinkled on the asphalt every winter. However, the use of salt has economical as well as ecological disadvantages. To resolve these problems, road heating systems are used in the northern regions of Europe and America. Despite their widespread usage, considerable potential of the operational optimization is evident. The current systems are controlled under predefined weather conditions such as start of operation at 5 °C air temperature, even when snowfall is absent. Consequently, loss of energy input to heat the system is caused. To avoid unnecessary financial and energetic expense, this study presents CFD-based performance investigation as a basis for a novel predictive controller to increase the operational efficiency of hydronic road heating systems (HRS). The simulation model was developed based on a real operational HRS located in Ingolstadt and composed of bridges and ramps for a total surface of 1989 m2. Climate data of the years 2019–2020 from local weather stations were implemented in the simulation model for performance prediction on extreme climate conditions. This investigation identified that up to 70% of operational hours in terms of energy input can be saved by using a hypothetical predictive controller, thus making the HRS a more economically efficient and environmentally attractive alternate to conventional de-icing techniques. UR - https://doi.org/10.3390/en16052173 KW - hydronic road-heating system (HRS) KW - performance optimization KW - snow removal KW - de-icing KW - computational fluid dynamics (CFD) simulation KW - asphalt KW - water–ethanol heating fluid KW - predictive controller Y1 - 2023 UR - https://doi.org/10.3390/en16052173 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-31979 SN - 1996-1073 VL - 16 IS - 5 PB - MDPI CY - Basel ER -