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Finding the best station in Belgium to use residential-scale solar heating, One-year dynamic simulation with considering all system losses: Economic analysis of using ETSW

Kalbasi, R ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.seta.2021.101097
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. The main purpose of this study is to provide the heating power for space heating and sanitary hot water for a residential house in sixteen stations located in Belgium using evacuated tube solar water (ETSW). A one-year dynamic simulation was performed using TSOL 5.5 software and Meteonorm 7.1 was used to obtain the climatic data. Technical and environmental studies as well as station rankings are the parameters that have been examined for the first time in the present study. The weighting results of using the Best-Worst method (BWM) revealed that total solar fraction and CO2 emission avoided have the highest and lowest weight, respectively. Station ranking was performed using ARAS technique and validated by VIKOR and TOPSIS methods and based on the outputs, Oostend and Uccle stations were introduced as the most suitable and unsuitable stations for using ETSW, respectively. In the studied stations, 72.6 MW was produced annually using ETSW which diminished the CO2 emission by 19.25 tons. Examining the energy balance for the Oostend station, it was found that the highest losses corresponded to thermal and optical losses, which account for 46% and 35.4% of the total losses, respectively. Economic calculations showed that if a gas boiler is used, it is not cost-effective to meet the heating requirements using ETSW. For the case of an electric boiler, the ETSW system is attractive and cost-effective. © 2021 Elsevier Ltd
  6. Keywords:
  7. Boilers ; Carbon dioxide ; Computer software ; Cost effectiveness ; Economic analysis ; Housing ; Space power generation ; Climatic data ; Cost effective ; Environmental studies ; Evacuated tubes ; Heating power ; Residential house ; Solar fraction ; Station ranking ; Heating ; Alternative energy ; Carbon dioxide ; Cost-benefit analysis ; Economic analysis ; Emission inventory ; Heating ; Numerical method ; Residential energy ; Sanitation ; Solar power ; Belgium
  8. Source: Sustainable Energy Technologies and Assessments ; Volume 45 , June , 2021 ; 22131388 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S2213138821001077