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

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Abstract

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.

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Data availability

The data that support the findings of this study are available from the corresponding author, Nazia Hossain, upon reasonable request.

Abbreviations

GHG:

Greenhouse gases

EU:

European Union

T o :

Ambient temperature

W :

Work

Q k :

Heat transfer

\({ex}_{c}\) :

Chemical exergy

Exloss :

Exergy loss

H ff :

Higher heating value (kJ/kg)

γ :

Exergy factor

IP:

Irreversibility of process (IP)

φ :

Exergy efficiency

ɳ :

Energy efficiency

D :

Depletion number

SI:

Sustainability index

RF:

Renewable fraction

NRF:

Non-renewable fraction

WER:

Waste exergy ratio

EDC:

Exergy destruction coefficient

IEA:

International Energy Agency

PJ:

Petajoule

LED:

Light-emitting diode

References

  • Açıkkalp E, Caliskan H, Altuntas O, Hepbasli A (2021) Novel combined extended-advanced exergy analysis methodology as a new tool to assess thermodynamic systems. Energy Convers Manage 236:114019

    Google Scholar 

  • Aghbashlo M, Tabatabaei M, Hosseini SS, Dashti BB, Soufiyan MM (2018) Performance assessment of a wind power plant using standard exergy and extended exergy accounting (EEA) approaches. J Clean Prod 171:127–136

    Google Scholar 

  • Ahamed JU, Saidur R, Masjuki HH, Mekhilef S, Ali M, Furqon M (2011) An application of energy and exergy analysis in agricultural sector of Malaysia. Energy Policy 39:7922–7929

    Google Scholar 

  • Al-Ghandoor A, Al-Hinti I, Akash B, Abu-Nada E (2008) Analysis of energy and exergy use in the Jordanian urban residential sector. Int J Exergy 5:413–428

    Google Scholar 

  • Almasri RA, Almarshoud A, Omar HM, Esmaeil KK, Alshitawi M (2020) Exergy and economic analysis of energy consumption in the residential sector of the Qassim region in the kingdom of Saudi Arabia. Sustainability 12:2606

    Google Scholar 

  • Amoo LM, Fagbenle RL (2014) A thermodynamic performance analysis of the transport sector of Nigeria. Int J Exergy 14:441–458

    Google Scholar 

  • Arango-Miranda R, Hausler R, Romero-López R, Glaus M, Ibarra-Zavaleta SP (2018) An overview of energy and exergy analysis to the industrial sector, a contribution to sustainability. Sustainability 10:153

    Google Scholar 

  • Armel TKF, Vidal AKC, René T (2015) Energy analysis and exergy utilization in the residential sector of Cameroon. Energy Power Eng 7:93

    Google Scholar 

  • Arslanoglu N (2016) Empirical modeling of solar radiation exergy for Turkey. Appl Therm Eng 108:1033–1040

    Google Scholar 

  • Arunkumar T, Denkenberger D, Velraj R, Sathyamurthy R, Tanaka H, Vinothkumar K (2015) Experimental study on a parabolic concentrator assisted solar desalting system. Energy Convers Manage 105:665–674

    Google Scholar 

  • Aslanoğlu R, Kazak JK, Yekanialibeiglou S, Pracki P, Ulusoy B (2021) An international survey on residential lighting: analysis of winter-term results. Build Environ 206:108294

    Google Scholar 

  • Aycik I, Turkseven K, Bulhaz K (1986) Position of high efficiency stove in Turkish economy and studies on this subject, Proceedings of Fourth Turkish Energy Congress. World Energy Council-Turkish National Committee, Izmir, Turkey, pp. 269–276

  • Aydin H, Turan O, Karakoc TH, Midilli A (2015) Exergetic sustainability indicators as a tool in commercial aircraft: a case study for a turbofan engine. Int J Green Energy 12:28–40

    CAS  Google Scholar 

  • Badmus I, Osunleke AS (2010) Application of energy and exergy analyses for efficient energy utilisation in the Nigerian residential sector. Int J Exergy 7:352–368

    CAS  Google Scholar 

  • Bait O (2019) Exergy, environ–economic and economic analyses of a tubular solar water heater assisted solar still. J Clean Prod 212:630–646

    Google Scholar 

  • Brounen D, Kok N, Quigley JM (2013) Energy literacy, awareness, and conservation behavior of residential households. Energy Economics 38:42–50

    Google Scholar 

  • Bühler F, Nguyen T-V, Elmegaard B (2016) Energy and exergy analyses of the Danish industry sector. Appl Energy 184:1447–1459

    Google Scholar 

  • Causone F, Sangalli A, Pagliano L, Carlucci S (2017) An exergy analysis for milano smart city. Energy Proc 111:867–876

    Google Scholar 

  • Celik AK, Oktay E (2019) Modelling households’ fuel stacking behaviour for space heating in Turkey using ordered and unordered discrete choice approaches. Energy and Buildings 204:109466

    Google Scholar 

  • Chowdhury H, Chowdhury T, Chowdhury P, Islam M, Saidur R, Sait SM (2019a) Integrating sustainability analysis with sectoral exergy analysis: a case study of rural residential sector of Bangladesh. Energy and Buildings 202:109397

    Google Scholar 

  • Chowdhury H, Chowdhury T, Thirugnanasambandam M, Farhan M, Ahamed JU, Saidur R, Sait SM (2019b) A study on exergetic efficiency vis-à-vis sustainability of industrial sector in Bangladesh. J Clean Prod 231:297–306

    Google Scholar 

  • Chowdhury T, Chowdhury H, Ahmed A, Park Y-K, Chowdhury P, Hossain N, Sait SM (2020a) Energy, exergy, and sustainability analyses of the agricultural sector in Bangladesh. Sustainability 12:4447

    Google Scholar 

  • Chowdhury T, Chowdhury H, Chowdhury P, Sait SM, Paul A, Ahamed JU, Saidur R (2020b) A case study to application of exergy-based indicators to address the sustainability of Bangladesh residential sector. Sustainable Energy Technol Assess 37:100615

    Google Scholar 

  • Chowdhury H, Chowdhury T, Hossain N, Chowdhury P, Salam B, Sait SM, Mahlia TMI (2021a) Exergetic sustainability analysis of industrial furnace: a case study. Environ Sci Pollut Res 28:12881–12888

    CAS  Google Scholar 

  • Chowdhury H, Chowdhury T, Rashedi A, Banik SC, Khanam T, Saidur R, Sait SM, Rosen MA (2021b) Energy and exergy assessment with updated Reistad estimates: a case study in the transportation sector of Bangladesh. Energy Sci Eng

  • Corre OL, Broc JS, Dincer I (2013) Energetic and exergetic assessment of solar and wind potentials in Europe. Int J Exergy 13:175–200

    Google Scholar 

  • Couto PG, Damasceno JC, Oliveira Sd, Chan W (2013) Monte Carlo simulations applied to uncertainty in measurement. Theory and applications of Monte Carlo simulations, 27–51

  • Dadsetani R, Sheikhzadeh GA, Safaei MR, Alnaqi AA, Amiriyoon A (2019) Exergoeconomic optimization of liquefying cycle for noble gas argon. Heat Mass Transf 55:1995–2007

    CAS  Google Scholar 

  • Dincer I, Rosen MA (2012) Exergy: energy, environment and sustainable development. Newnes

    Google Scholar 

  • Dincer I, Hussain M, Al-Zaharnah I (2004a) Energy and exergy utilization in transportation sector of Saudi Arabia. Appl Therm Eng 24:525–538

    Google Scholar 

  • Dincer I, Hussain M, Al-Zaharnah I (2004b) Energy and exergy use in residential sector of Saudi Arabia. Energy Sources 26:1239–1252

    Google Scholar 

  • Ege A, Şahin HM (2014) Determination of uncertainties in energy and exergy analysis of a power plant. Energy Convers Manage 85:399–406

    Google Scholar 

  • Fidelis I, Ohunakin OS, Nwankwojike BN, Ekwe B (2014) End-use energy utilization efficiency of Nigerian residential sector. Front Energy 8(3):322–334

    Google Scholar 

  • Gong M, Wall G (2016) Exergy analysis of the supply of energy and material resources in the Swedish society. Energies 9:707

    Google Scholar 

  • Hepbasli A (2001) Energy conservation studies on residential heating systems: an application for Izmir, Turkey. Int J Global Energy Issues 15:247–263

    Google Scholar 

  • Hepbasli A, Utlu Z (2004) Evaluating the energy utilization efficiency of Turkey’s renewable energy sources during 2001. Renew Sustain Energy Rev 8:237–255

    Google Scholar 

  • Hossain N, Mahlia TMI, Zaini J, Saidur R (2019) Techno-economics and sensitivity analysis of Microalgae as commercial feedstock for bioethanol production. Environ Prog Sustainable Energy 38:13157

    Google Scholar 

  • https://www.iea.org/data-and-statistics/data-tables S (2021)

  • Jeter SM (1981) Maximum conversion efficiency for the utilization of direct solar radiation. Sol Energy 26:231–236

    Google Scholar 

  • Jordan DC, Kurtz SR, VanSant K, Newmiller J (2016) Compendium of photovoltaic degradation rates. Prog Photovoltaics Res Appl 24:978–989

    Google Scholar 

  • Kanogˇlu M, Işık SK, Abuşogˇlu A (2005) Performance characteristics of a diesel engine power plant. Energy Convers Manage 46:1692–1702

    Google Scholar 

  • Kondo K (2009) Energy and exergy utilization efficiencies in the Japanese residential/commercial sectors. Energy Policy 37:3475–3483

    Google Scholar 

  • Koroneos CJ, Nanaki EA, Xydis GA (2011) Exergy analysis of the energy use in Greece. Energy Policy 39:2475–2481

    Google Scholar 

  • Kusiak A, Zhang Z, Verma A (2013) Prediction, operations, and condition monitoring in wind energy. Energy 60:1–12

    Google Scholar 

  • Li Z, Zhang D, Chen X, Li C (2020) A comparative study on energy saving and economic efficiency of different cooling terminals based on exergy analysis. J Build Eng 30:101224

    Google Scholar 

  • Liu Y, Li Y, Wang D, Liu J (2014) Energy and exergy utilizations of the Chinese urban residential sector. Energy Convers Manage 86:634–643

    Google Scholar 

  • Lo S-C, Ma H-w, Lo S-L (2005) Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo method. Sci Total Environ 340:23–33

    CAS  Google Scholar 

  • Maddah S, Safaei MR (2021) Determination of the optimal discharge pressure of the transcritical CO 2 heat pump cycles for heating and cooling performances based on new correlation. Journal of Thermal Analysis and Calorimetry 1–10

  • Martoňák R, Santoro GE, Tosatti E (2002) Quantum annealing by the path-integral Monte Carlo method: The two-dimensional random Ising model. Phys Rev B 66:094203

    Google Scholar 

  • Mehrdad S, Dadsetani R, Amiriyoon A, Leon AS, Reza Safaei M, Goodarzi M (2020) Exergo-economic optimization of organic rankine cycle for saving of thermal energy in a sample power plant by using of strength pareto evolutionary algorithm II. Processes 8:264

    CAS  Google Scholar 

  • Midilli A, Kucuk H (2015) Assessment of exergetic sustainability indicators for a single layer solar drying system. Int J Exergy 16:278–292

    Google Scholar 

  • Muller C, Yan H (2018) Household fuel use in developing countries: review of theory and evidence. Energy Economics 70:429–439

    Google Scholar 

  • Oladiran M, Meyer J (2007) Energy and exergy analyses of energy consumptions in the industrial sector in South Africa. Appl Energy 84:1056–1067

    Google Scholar 

  • Öz S, Alyürük M (2020) Energy sector overview and future prediction for Turkey. Journal of Industrial Policy and Technology Management 3:59–69

    Google Scholar 

  • Ozgener L, Hepbasli A, Dincer I (2005a) Energy and exergy analysis of geothermal district heating systems: an application. Build Environ 40:1309–1322

    Google Scholar 

  • Ozgener L, Hepbasli A, Dincer I (2005b) Energy and exergy analysis of the Gonen geothermal district heating system, Turkey. Geothermics 34:632–645

    Google Scholar 

  • Ozturk HK, Canyurt OE, Hepbasli A, Utlu Z (2004) Residential-commercial energy input estimation based on genetic algorithm (GA) approaches: an application of Turkey. Energy and Buildings 36:175–183

    Google Scholar 

  • Ozturk HK, Atalay O, Yilanci A, Hepbasli A (2006) Energy and exergy analysis of kizildere geothermal power plant, Turkey. Energy Sources, Part A 28:1415–1424

    CAS  Google Scholar 

  • Rosen MA, Dincer I, Kanoglu M (2008) Role of exergy in increasing efficiency and sustainability and reducing environmental impact. Energy Policy 36:128–137

    Google Scholar 

  • Saidur R, Masjuki HH, Jamaluddin M (2007) An application of energy and exergy analysis in residential sector of Malaysia. Energy Policy 35:1050–1063

    Google Scholar 

  • Sarafraz MM, Goodarzi M, Tlili I, Alkanhal TA, Arjomandi M (2021) Thermodynamic potential of a high-concentration hybrid photovoltaic/thermal plant for co-production of steam and electricity. J Therm Anal Calorim 143:1389–1398

    CAS  Google Scholar 

  • Swan LG, Ugursal VI (2009) Modeling of end-use energy consumption in the residential sector: a review of modeling techniques. Renew Sustain Energy Rev 13:1819–1835

    Google Scholar 

  • Szargut J (2005) Exergy method: technical and ecological applications, 18. WIT press

  • Tian W (2013) A review of sensitivity analysis methods in building energy analysis. Renew Sustain Energy Rev 20:411–419

    Google Scholar 

  • Turan Bıyık Ş (2018) Otellerde sürdürülebilir çevre yönetimi ve Eskişehir örneği, Anadolu Üniversitesi

  • Tushar Q, Bhuiyan M, Sandanayake M, Zhang G (2019) Optimizing the energy consumption in a residential building at different climate zones: towards sustainable decision making. J Clean Prod 233:634–649

    Google Scholar 

  • Tushar Q, Bhuiyan MA, Zhang G, Maqsood T (2021) An integrated approach of BIM-enabled LCA and energy simulation: the optimized solution towards sustainable development. J Clean Prod 289:125622

    Google Scholar 

  • Ucal M, Günay S (2022) Household happiness and fuel poverty: a cross-sectional analysis on Turkey. Appl Res Qual Life 17:391–420

    Google Scholar 

  • Utlu Z, Hepbasli A (2004) Turkey’s sectoral energy and exergy analysis between 1999 and 2000. Int J Energy Res 28:1177–1196

    Google Scholar 

  • Utlu Z, Hepbasli A (2005) Analysis of energy and exergy use of the Turkish residential–commercial sector. Build Environ 40:641–655

    Google Scholar 

  • Utlu Z, Hepbasli A (2007) A review and assessment of the energy utilization efficiency in the Turkish industrial sector using energy and exergy analysis method. Renew Sustain Energy Rev 11:1438–1459

    Google Scholar 

  • Utlu Z, Hepbasli A (2008) Energetic and exergetic assessment of the industrial sector at varying dead (reference) state temperatures: a review with an illustrative example. Renew Sustain Energy Rev 12:1277–1301

    Google Scholar 

  • Utlu Z, Tolon M, Karabuga A (2021) Modelling of energy and exergy analysis of ORC integrated systems in terms of sustainability by applying artificial neural network. International Journal of Low-Carbon Technologies 16:156–164

    Google Scholar 

  • Xydis G, Koroneos C, Loizidou M (2009) Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: a case study in Southern Greece. Appl Energy 86:2411–2420

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Chittagong University of Engineering & Technology, Chattogram, 4349, Bangladesh

    Monirul Islam Miskat

  2. School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA

    Salman Rahman

  3. School of Engineering, RMIT University, Melbourne, VIC, 3001, Australia

    Quddus Tushar & Nazia Hossain

  4. Department of Mechanical Engineering, The University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA

    Shishir Barai

  5. Department of Geography and Environmental Studies, University of Chittagong, Chattogram, 4331, Bangladesh

    Fazleh Rabbi & Nadia Sultana Nisha

  6. King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

    Sadiq Sait

Authors
  1. Monirul Islam Miskat
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  2. Salman Rahman
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  3. Quddus Tushar
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  4. Shishir Barai
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  5. Nazia Hossain
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Contributions

MIM-formal analysis and original draft—writing. SR-conceptualization, methodology, formal analysis, and original draft—writing. QT-sensitivity analysis and original draft—writing (supporting). SB-formal analysis. NH-original draft—writing, review, and editing. FR and NSN-software. SS-proofreading.

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Correspondence to Nazia Hossain.

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The facts and views in the manuscript are solely ours, and we are totally responsible for the authenticity, validity, and originality. We also declare that this manuscript is our original work, and we have not copied from anywhere else. There is no plagiarism in my manuscript.

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Miskat, M.I., Rahman, S., Tushar, Q. et al. Advanced thermodynamics analysis for sustainable residential sector: a case study of Turkish residential sector. Environ Sci Pollut Res 30, 36646–36662 (2023). https://doi.org/10.1007/s11356-022-24889-3

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