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A Systematic Approach to Predict the Economic and Environmental Effects of the Cost-Optimal Energy Renovation of a Historic Building District on the District Heating System

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  • Vlatko Milić

    (Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden)

  • Shahnaz Amiri

    (Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden
    Division of Building, Energy and Environment Technology, Department of Technology and Environment, University of Gävle, 801 76 Gävle, Sweden)

  • Bahram Moshfegh

    (Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden
    Division of Building, Energy and Environment Technology, Department of Technology and Environment, University of Gävle, 801 76 Gävle, Sweden)

Abstract

The economic and environmental performance of a district heating (DH) system is to a great extent affected by the size and dynamic behavior of the DH load. By implementing energy efficiency measures (EEMs) to increase a building’s thermal performance and by performing cost-optimal energy renovation, the operation of the DH system will be altered. This study presents a systematic approach consisting of building categorization, life cycle cost (LCC) optimization, building energy simulation and energy system optimization procedures, investigating the profitability and environmental performance of cost-optimal energy renovation of a historic building district on the DH system. The results show that the proposed approach can successfully be used to predict the economic and environmental effects of cost-optimal energy renovation of a building district on the local DH system. The results revealed that the financial gains of the district are between 186 MSEK (23%) and 218 MSEK (27%) and the financial losses for the DH system vary between 117–194 MSEK (5–8%). However, the suggested renovation measures decrease the local and global CO 2 emissions by 71–75 metric ton of CO 2eq. /year (4%) and 3545–3727 metric ton of CO 2eq. /year (41–43%), respectively. Total primary energy use was decreased from 57.2 GWh/year to 52.0–52.2 GWh/year.

Suggested Citation

  • Vlatko Milić & Shahnaz Amiri & Bahram Moshfegh, 2020. "A Systematic Approach to Predict the Economic and Environmental Effects of the Cost-Optimal Energy Renovation of a Historic Building District on the District Heating System," Energies, MDPI, vol. 13(1), pages 1-25, January.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:276-:d:305589
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    References listed on IDEAS

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    1. Truong, Nguyen Le & Gustavsson, Leif, 2014. "Minimum-cost district heat production systems of different sizes under different environmental and social cost scenarios," Applied Energy, Elsevier, vol. 136(C), pages 881-893.
    2. Weinberger, Gottfried & Amiri, Shahnaz & Moshfegh, Bahram, 2017. "On the benefit of integration of a district heating system with industrial excess heat: An economic and environmental analysis," Applied Energy, Elsevier, vol. 191(C), pages 454-468.
    3. Amiri, Shahnaz & Henning, Dag & Karlsson, Björn G., 2013. "Simulation and introduction of a CHP plant in a Swedish biogas system," Renewable Energy, Elsevier, vol. 49(C), pages 242-249.
    4. Sjödin, Jörgen & Henning, Dag, 2004. "Calculating the marginal costs of a district-heating utility," Applied Energy, Elsevier, vol. 78(1), pages 1-18, May.
    5. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    6. Åberg, M. & Henning, D., 2011. "Optimisation of a Swedish district heating system with reduced heat demand due to energy efficiency measures in residential buildings," Energy Policy, Elsevier, vol. 39(12), pages 7839-7852.
    7. Amiri, Shahnaz & Weinberger, Gottfried, 2018. "Increased cogeneration of renewable electricity through energy cooperation in a Swedish district heating system - A case study," Renewable Energy, Elsevier, vol. 116(PA), pages 866-877.
    8. Difs, Kristina & Bennstam, Marcus & Trygg, Louise & Nordenstam, Lena, 2010. "Energy conservation measures in buildings heated by district heating – A local energy system perspective," Energy, Elsevier, vol. 35(8), pages 3194-3203.
    9. Lundström, Lukas & Wallin, Fredrik, 2016. "Heat demand profiles of energy conservation measures in buildings and their impact on a district heating system," Applied Energy, Elsevier, vol. 161(C), pages 290-299.
    10. Lidberg, T. & Gustafsson, M. & Myhren, J.A. & Olofsson, T. & Ödlund (former Trygg), L., 2018. "Environmental impact of energy refurbishment of buildings within different district heating systems," Applied Energy, Elsevier, vol. 227(C), pages 231-238.
    11. Henning, Dag & Amiri, Shahnaz & Holmgren, Kristina, 2006. "Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1224-1247, December.
    12. Vassileva, Iana & Campillo, Javier & Schwede, Sebastian, 2017. "Technology assessment of the two most relevant aspects for improving urban energy efficiency identified in six mid-sized European cities from case studies in Sweden," Applied Energy, Elsevier, vol. 194(C), pages 808-818.
    13. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    14. Lidberg, T. & Olofsson, T. & Trygg, L., 2016. "System impact of energy efficient building refurbishment within a district heated region," Energy, Elsevier, vol. 106(C), pages 45-53.
    15. Åberg, M. & Widén, J. & Henning, D., 2012. "Sensitivity of district heating system operation to heat demand reductions and electricity price variations: A Swedish example," Energy, Elsevier, vol. 41(1), pages 525-540.
    16. Truong, Nguyen Le & Dodoo, Ambrose & Gustavsson, Leif, 2014. "Effects of heat and electricity saving measures in district-heated multistory residential buildings," Applied Energy, Elsevier, vol. 118(C), pages 57-67.
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