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Multi-Objective Optimization of Complex Measures on Supplying Energy to Rural Residential Buildings in Uzbekistan Using Renewable Energy Sources

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Abstract

This study presents the first results of multi-objective optimization of typical four-room rural residential buildings in Uzbekistan with different levels of thermal insulation. For that purpose, a simplified static model of buildings based on the heating degree-days has been employed and the optimal designs were found for three scenarios. In the first scenario, the life-cycle cost of the reconstruction measure was analyzed where the optimal thicknesses of the insulation layer were found for the roof, floor, and external walls but no solutions were found for windows, solar collectors, and photovoltaic (PV) panels. In the second scenario, primary energy consumption was minimized to zero for space heating and domestic hot water. In this scenario, the thickness of insulation layers for building envelopes and the size of solar collectors were optimized in various regions. In the final scenario, low carbon communities were considered in technoeconomic conditions of Uzbekistan. However, no optimal solutions were found in the current cost of electricity.

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REFERENCES

  1. Scaling-up energy efficiency in rural buildings of Uzbekistan, Anal. Report, Tashkent: Center for Econ. Res., 2016.

  2. Saffari, M., de Gracia, A., Ushak, S., and Cabeza, L.F., Economic impact of integrating PCM as passive system in buildings using Fanger comfort model, Energy Build., 2016, vol. 112, pp. 159–172.

    Article  Google Scholar 

  3. Jahangiri, P., Applications of paraffin-water dispersions in energy distribution systems, Dissertation, Aachen: RWTH Aachen Univ., 2017.

  4. Kaklauskas, A., Zavadskas, E.K., and Raslanas, S., Multivariant design and multiple criteria analysis of building refurbishments, Energy Build., 2005, vol. 37, pp. 361–372.

    Article  Google Scholar 

  5. Evins, R., A review of computational optimisation methods applied to sustainable building design, Renewable Sustainable Energy Rev., 2013, vol. 22, pp. 230–245.

    Article  Google Scholar 

  6. Schrijver, A., Theory of Linear and Integer Programming, Chichester: Wiley, 1998.

    MATH  Google Scholar 

  7. Zhang, D., Shah, N., and Papageorgiou, L.G., Efficient energy consumption and operation management in a smart building with microgrid, Energy Convers. Manage., 2013, vol. 74, pp. 209–222.

    Article  Google Scholar 

  8. Wang, C., Jiao, B., Guo, L., et al., Robust scheduling of building energy system under uncertainty, Appl. Energy, 2016, vol. 167, pp. 366–376.

    Article  Google Scholar 

  9. Mehleri, E.D., Sarimveis, H., Markatos, N.C., and Papageorgiou, L.G., Optimal design and operation of distributed energy systems: Application to Greek residential sector, Renewable Energy, 2013, vol. 51, pp. 331–342.

    Article  Google Scholar 

  10. Wakui, T. and Yokoyama, R., Optimal structural design of residential cogeneration systems in consideration of their operating restrictions, Energy, 2014, vol. 64, pp. 719–733.

    Article  Google Scholar 

  11. Harb, H., Reinhardt, J., Streblow, R., and Muller, D., MIP approach for designing heating systems in residential buildings and neighbourhoods, J. Build. Perform. Simul., 2015, vol. 9 pp. 316–330.

    Article  Google Scholar 

  12. Renaldi, R., Kiprakis, A., and Friedrich, D., An optimisation framework for thermal energy storage integration in a residential heat pump heating system, Appl. Energy, 2017, vol. 186, pp. 520–529.

    Article  Google Scholar 

  13. Zhang, D., Evangelisti, S., Lettieri, P., and Papageorgiou, L.G., Optimal design of CHP based microgrids: Multi-objective optimisation and life cycle assessment, Energy, 2015, vol. 85, pp. 181–193.

    Article  Google Scholar 

  14. Weber, C. and Shah, N., Optimisation based design of a district energy system for an eco-town in the United Kingdom, Energy, 2011, vol. 36, pp. 1292–1308.

    Article  Google Scholar 

  15. Yang, Y., Zhang, S., and Xiao, Y., Optimal design of distributed energy resource systems coupled with energy distribution networks, Energy, 2015, vol. 85, pp. 433–448.

    Article  Google Scholar 

  16. Wouters, C., Fraga, E.S., and James, A.M., An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – a South Australian case-study, Energy, 2015, vol. 85, pp. 30–44.

    Article  Google Scholar 

  17. Ashouri, A., Fux, S.S., Benz, M.J., and Guzzella, L., Optimal design and operation of building services using mixed-integer linear programming techniques, Energy, 2013, vol. 59, pp. 365–376.

    Article  Google Scholar 

  18. Asadi, E., da Silva, M.G., Antunes, C.H., and Dias, L., Multi-objective optimization for building retrofit strategies: a model and an application, Energy Build., 2012, vol. 44, pp. 81–87.

    Article  Google Scholar 

  19. Stadler, M., Groissbock, M., Cardoso, G., et al., Optimizing distributed energy resources and building retrofits with the strategic DER-CAModel, Appl. Energy, 2014, vol. 132, pp. 557–567.

    Article  Google Scholar 

  20. Evins, R., Multi-level optimization of building design, energy system sizing and operation, Energy, 2015, vol. 90, pp. 1775–1789.

    Article  Google Scholar 

  21. Wolisz, H., Block, P., Streblow, R., and Müller, D., Dynamic activation of structural thermal mass in a multi-zonal building with due regard to thermal comfort, in Proceedings of the 14th Conference of International Building Performance Simulation Association, Hyderabad, India, 2015, pp. 1291-1297.

  22. Schütz, T., Schiffer, L., Harb, H., et al., Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model, Appl. Energy, 2017, vol. 185, pp. 1–15.

    Article  Google Scholar 

  23. Fan, Y. and Xia, X., A multi-objective optimization model for energy-efficiency building envelope retrofitting plan with rooftop PV system installation and maintenance, Appl. Energy, 2017, vol. 189, pp. 327–335.

    Article  Google Scholar 

  24. Analysis of Results of Energy Monitoring over the Heating Season of 2014–2015 after Application of Energy-Efficient Measures and Renewable Energy in a Pilot Four-Room Rural House. Promoting Energy Efficiency in Public Buildings in Uzbekistan, Uzbekistan: United Nations Development Programme (UNDP), Global Environment Facility (GEF), State Committee for Architecture and Construction of the Republic of Uzbekistan, 2015.

  25. Ganiev, S. and Wiedemann, C., GIZ project orientation phase: Sustainable participatory pasture management in Farish district, Thermal insulation in Uzbekistan, Anal. Report, 2011.

  26. Kenisarin, M. and Kenisarina, K., Energy saving potential in the residential sector of Uzbekistan, Energy, 2007, vol. 32, pp. 1319–1325.

    Article  Google Scholar 

  27. Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J.D., GEKKO optimization suite, Processes, 2018, vol. 6, p. 108.

    Article  Google Scholar 

  28. KMK 2.01.04-97, Construction heat engineering, Tashkent: 2011.

  29. Buyukalaca, O., Bulut, H., and Yilmaz, T., Analysis of variable-base heating and cooling degree-days for Turkey, Appl. Energy, 2001, vol. 69, pp. 269–283.

    Article  Google Scholar 

  30. Zakhidov, M.M. and Melieva, L.K., An effective way of thermal protection of rural residential buildings in Uzbekistan, 2013. http://www.mensh.ru/articles/effektivnyy-sposob-teplovoy-zashchity-selskih-zhilyh-zdaniy-uzbekistane.

  31. Silva, P., Almeida, M., Braganca, L., and Mesquita, V., Methodology to enhance the Portuguese thermal regulation accuracy for existing buildings, in Proceedings of the 11th International IBPSA Conference, Scotland,2009, pp. 576–583.

  32. Suleiman, B.M., Estimation of U-value of traditional North African houses, Appl. Therm. Eng., 2011, vol. 31, pp. 1923–1928.

    Article  Google Scholar 

  33. Hasan, A., Optimizing insulation thickness for buildings using life-cycle cost, Appl. Energy, 1999, vol. 63, pp. 115–24.

    Article  Google Scholar 

  34. Avezova, N.R., Rakhimov, E.Y., and Izzatillaev, J.O., Resource indicators used for solar photovoltaic plants in Uzbekistan, Part 1, Appl. Sol. Energy, 2018, vol. 54, pp. 273–278.

    Article  Google Scholar 

  35. UZBTA 8008 ABR, The Development of Solar Energy in Uzbekistan, 2013–2017, 2014, pp. 109–121.

  36. Avezov, R.R., Avezova, N.R., Matchanov, N.A., et al., History and state of solar engineering in Uzbekistan, Appl. Sol. Energy, 2012, vol. 48, pp. 14–19.

    Article  Google Scholar 

  37. Avezova, N.R., Modeling the processes of thermal conversion of solar energy in flat collectors and optimizing their main parameters for use in hot water systems, Doctoral Dissertation, Tashkent: Phys. Tech. Inst. Acad. Sci. RUz, 2018.

  38. Avezova, N.R., Rakhimov, E.Yu., Khaitmukhamedov, A.E., et al., Dependence of techno-economic and ecological indicators of flat-plate solar water heating collectors in hot water supply systems from the temperature of heating water, Appl. Sol. Energy, 2018, vol. 54, pp. 297–301.

    Article  Google Scholar 

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Funding

The authors acknowledge the financial support provided by the IDB Merit Scholarships for High Technology under the PhD-Programme IDB.

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Authors and Affiliations

  1. RWTH Aachen University, Institute for Energy Efficient Buildings and Indoor Climate, 52074, Aachen, Germany

    A. Halimov, M. Nürenberg & D. Müller

  2. Physical–Technical Institute, NPO Physics–Sun, Academy of Sciences of the Republic of Uzbekistan, 100084, Tashkent, Uzbekistan

    J. Akhatov

  3. Tashkent State Agrarian University, 100700, Tashkent, Uzbekistan

    Z. Iskandarov

Authors
  1. A. Halimov
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  2. M. Nürenberg
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  3. D. Müller
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  4. J. Akhatov
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  5. Z. Iskandarov
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Corresponding author

Correspondence to A. Halimov.

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Translated by S. Avodkova

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Halimov, A., Nürenberg, M., Müller, D. et al. Multi-Objective Optimization of Complex Measures on Supplying Energy to Rural Residential Buildings in Uzbekistan Using Renewable Energy Sources. Appl. Sol. Energy 56, 137–148 (2020). https://doi.org/10.3103/S0003701X20020073

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  • DOI: https://doi.org/10.3103/S0003701X20020073

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