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Advanced thermodynamics analysis for sustainable residential sector: a case study of Turkish residential sector.

Monirul Islam MiskatSalman RahmanQuddus TusharShishir BaraiNazia HossainFazleh RabbiNadia Sultana NishaSadiq Sait
Published in: Environmental science and pollution research international (2022)
Energy sustainability plays a crucial role in the development of any country. With the booming economy of Turkey, it is necessary to ensure energy sustainability in every sector. The residential sector plays a vital role in energy consumption in Turkey and improving sustainability in this sector can foster Turkey's development. This study introduced first-time sustainability indicators of Turkey's residential sector to determine the energy and exergy analyses through a thermodynamics-derived approach based on the data from 2000 to 2017. Monte Carlo simulations have been performed for energy source variation. Possible distribution uncertainties show that natural gas (0.78-0.76), biofuels, and waste (0.39-0.43) are dominant parameters for energy and exergy. Improvement of biofuels and waste, renewable-based energy sources can be a feasible solution for fossil fuel replacement. In Turkey's residential sector, energy efficiency varies from 27.51 to 35.65%, while exergy efficiency ranges from 25.85 to 34.06%. The sustainability index for Turkey ranges from 1.34 to 1.51. In Turkey, around 65.93 to 74.14% of fossil fuel has been depleted in the last 18 years, which leads to lesser exergetic sustainability. Inefficient cooking, heating appliances, and lighting devices lead to higher exergy loss. Therefore, this study demonstrates the exergy analysis and prediction of the upcoming consequences of this analysis. In the future, Turkey can use higher efficient devices, especially in heating, lighting, and mechanical energy-related appliances, and electricity can be used to attain higher exergetic efficiency. Performed analysis and uncertainties of parameters will assist policymakers in selecting suitable alternative strategies in Turkey's residential sector for sustainable decision-making.
Keyphrases
  • air pollution
  • decision making
  • life cycle
  • monte carlo
  • heavy metals
  • machine learning
  • drinking water
  • molecular dynamics
  • current status