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A long-term performance analysis of three different configurations for community-sized solar heating systems in high latitudes

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  • Rehman, Hassam ur
  • Hirvonen, Janne
  • Sirén, Kai

Abstract

This paper proposes various community-sized solar heating systems configurations for cold climate. Three configurations were proposed, (I)a heat pump connected to two tanks in parallel, using charged borehole storage, (II)a heat pump connected between two tanks, using charged borehole storage to directly charge the lower temperature tank, and (III)two heat pumps used in series, one between the tanks and the other between the lower temperature tank and ground. In configurations (I) and (II) the vertical borehole field is used as a seasonal storage, in (III) it is used to extract heat only. The studied energy flows are heat and electricity. The border consists of energy production systems, heating grid and buildings. The impact of the considered system solutions on the heating renewable energy fraction, on-site electrical energy fraction, purchased energy and full cost as a function of the demand, solar thermal and photovoltaic areas, tanks and borehole volumes has been evaluated. The dynamic simulations results shows that an average renewable energy fraction of 53–81% can be achieved, depending upon the energy systems’ configuration. Furthermore, Energy System II utilizes less energy compared to other systems. In all three systems medium-sized solar thermal area is more beneficial instead of large area.

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  • Rehman, Hassam ur & Hirvonen, Janne & Sirén, Kai, 2017. "A long-term performance analysis of three different configurations for community-sized solar heating systems in high latitudes," Renewable Energy, Elsevier, vol. 113(C), pages 479-493.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:479-493
    DOI: 10.1016/j.renene.2017.06.017
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    1. Qv, Dehu & Ni, Long & Yao, Yang & Hu, Wenju, 2015. "Reliability verification of a solar–air source heat pump system with PCM energy storage in operating strategy transition," Renewable Energy, Elsevier, vol. 84(C), pages 46-55.
    2. Montagud, Carla & Corberán, José Miguel & Ruiz-Calvo, Félix, 2013. "Experimental and modeling analysis of a ground source heat pump system," Applied Energy, Elsevier, vol. 109(C), pages 328-336.
    3. Lundh, M. & Dalenbäck, J.-O., 2008. "Swedish solar heated residential area with seasonal storage in rock: Initial evaluation," Renewable Energy, Elsevier, vol. 33(4), pages 703-711.
    4. Rad, Farzin M. & Fung, Alan S., 2016. "Solar community heating and cooling system with borehole thermal energy storage – Review of systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1550-1561.
    5. Helton, J.C. & Johnson, J.D. & Sallaberry, C.J. & Storlie, C.B., 2006. "Survey of sampling-based methods for uncertainty and sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1175-1209.
    6. Obydenkova, Svetlana V. & Pearce, Joshua M., 2016. "Technical viability of mobile solar photovoltaic systems for indigenous nomadic communities in northern latitudes," Renewable Energy, Elsevier, vol. 89(C), pages 253-267.
    7. Pal, Sudip Kumar & Alanne, Kari & Jokisalo, Juha & Siren, Kai, 2016. "Energy performance and economic viability of advanced window technologies for a new Finnish townhouse concept," Applied Energy, Elsevier, vol. 162(C), pages 11-20.
    8. Tian, Wei, 2013. "A review of sensitivity analysis methods in building energy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 411-419.
    9. Persson, Johannes & Westermark, Mats, 2013. "Low-energy buildings and seasonal thermal energy storages from a behavioral economics perspective," Applied Energy, Elsevier, vol. 112(C), pages 975-980.
    10. Flynn, Ciarán & Sirén, Kai, 2015. "Influence of location and design on the performance of a solar district heating system equipped with borehole seasonal storage," Renewable Energy, Elsevier, vol. 81(C), pages 377-388.
    11. Neves, Diana & Silva, Carlos A., 2014. "Modeling the impact of integrating solar thermal systems and heat pumps for domestic hot water in electric systems – The case study of Corvo Island," Renewable Energy, Elsevier, vol. 72(C), pages 113-124.
    12. Shariah, Adnan & Shalabi, Bassam, 1997. "Optimal design for a thermosyphon solar water heater," Renewable Energy, Elsevier, vol. 11(3), pages 351-361.
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    2. Rehman, Hassam ur & Hirvonen, Janne & Sirén, Kai, 2018. "Performance comparison between optimized design of a centralized and semi-decentralized community size solar district heating system," Applied Energy, Elsevier, vol. 229(C), pages 1072-1094.
    3. Abokersh, Mohamed Hany & Vallès, Manel & Cabeza, Luisa F. & Boer, Dieter, 2020. "A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis," Applied Energy, Elsevier, vol. 267(C).
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    5. Paiho, Satu & Saastamoinen, Heidi, 2018. "How to develop district heating in Finland?," Energy Policy, Elsevier, vol. 122(C), pages 668-676.
    6. Mäki, Elina & Kannari, Lotta & Hannula, Ilkka & Shemeikka, Jari, 2021. "Decarbonization of a district heating system with a combination of solar heat and bioenergy: A techno-economic case study in the Northern European context," Renewable Energy, Elsevier, vol. 175(C), pages 1174-1199.
    7. Besagni, Giorgio & Croci, Lorenzo & Nesa, Riccardo & Molinaroli, Luca, 2019. "Field study of a novel solar-assisted dual-source multifunctional heat pump," Renewable Energy, Elsevier, vol. 132(C), pages 1185-1215.
    8. Hassam ur Rehman & Janne Hirvonen & Juha Jokisalo & Risto Kosonen & Kai Sirén, 2020. "EU Emission Targets of 2050: Costs and CO 2 Emissions Comparison of Three Different Solar and Heat Pump-Based Community-Level District Heating Systems in Nordic Conditions," Energies, MDPI, vol. 13(16), pages 1-31, August.
    9. Gao, Datong & Zhao, Bin & Kwan, Trevor Hocksun & Hao, Yong & Pei, Gang, 2022. "The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions," Applied Energy, Elsevier, vol. 321(C).
    10. Hirvonen, Janne & Sirén, Kai, 2018. "A novel fully electrified solar heating system with a high renewable fraction - Optimal designs for a high latitude community," Renewable Energy, Elsevier, vol. 127(C), pages 298-309.

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