Methodology for choosing the optimum architecture of a STES system
Abstract
The paper presents a methodology for choosing geometrical parameters of a Seasonal Thermal Energy Storagefacility (STES) on its thermal capacity. The STES is placed in both the ground under ground and connected toand solar panels. A number of scenarios were investigated to find an adequate geometrical proportions of theSTES (for constant tank size and solar panel area.) The results obtained show that the use of various STESgeometries could reduce heat accumulation to 30% depending on the architecture solution chosen.References
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and Technology 10 (5).
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cited By (since 1996)0.
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of Power Technologies 93 (1) (2013) 52–58.
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energy storage in the ground, Solar energy 59 (4)
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storage–the hydrock concept, Bulletin of Engineering Geology
and the Environment 60 (2) (2001) 145–156.
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of a domestic solar heating system with underground
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1172.
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pump system with a hemispherical surface tank as the
ground heat source, Energy 25 (4) (2000) 371–388.
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systems with seasonal thermal energy storage in surface
tanks, Energy 25 (12) (2000) 1231–1243.
[22] R. Yumruta¸s, M. Kano˘glu, A. Bolatturk, M. ¸ S. Bedir,
Computational model for a ground coupled space cooling
system with an underground energy storage tank, Energy
and buildings 37 (4) (2005) 353–360.
[23] R. Yumruta¸s, M. Ünsal, Modeling of a space cooling system
with underground storage, Applied thermal engineering
25 (2) (2005) 227–239.
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with an underground cylindrical tank, Energy 23 (12)
(1998) 1015–1027.
[25] D. Lindenberger, T. Bruckner, H.-M. Groscurth, R. Kümmel,
Optimization of solar district heating systems: seasonal
storage, heat pumps, and cogeneration, Energy
25 (7) (2000) 591–608.
[26] B. Nordell, G. Hellström, High temperature solar heated
seasonal storage system for low temperature heating of
buildings, Solar Energy 69 (6) (2000) 511–523.
[27] D. Pahud, Central solar heating plants with seasonal duct
storage and short-term water storage: design guidelines
obtained by dynamic system simulations, Solar Energy
69 (6) (2000) 495–509.
[28] M. Amirinejad, N. Tavajohi-Hasankiadeh, S. Madaeni,
M. Navarra, E. Rafiee, B. Scrosati, Adaptive neuro-fuzzy
inference system and artificial neural network modeling
of proton exchange membrane fuel cells based on
nanocomposite and recast nafion membranes, International
Journal of Energy Research 37 (4) (2013) 347–357.
[29] S. Hajimolana, S. Tonekabonimoghadam, M. Hussain,
M. Chakrabarti, N. Jayakumar, M. Hashim, Thermal
stress management of a solid oxide fuel cell using neural
network predictive control, Energy 62 (2013) 320–329.
[30] D. Marra, M. Sorrentino, C. Pianese, B. Iwanschitz, A
neural network estimator of solid oxide fuel cell performance
for on-field diagnostics and prognostics applications,
Journal of Power Sources 241 (2013) 320–329.
[31] O. Razbani, M. Assadi, Artificial neural network model of
a short stack solid oxide fuel cell based on experimental
data, Journal of Power Sources 246 (2014) 581–586, cited
By (since 1996)0.
[32] A. Zamaniyan, F. Joda, A. Behroozsarand, H. Ebrahimi,
Application of artificial neural networks (ann) for modeling
of industrial hydrogen plant, International Journal of
Hydrogen Energy 38 (15) (2013) 6289–6297.
[33] A. Ucar, M. Inalli, Thermal and economic comparisons of
solar heating systems with seasonal storage used in building
heating, Renewable Energy 33 (12) (2008) 2532–2539.
[34] A. Simons, S. K. Firth, Life-cycle assessment of a 100%
solar fraction thermal supply to a european apartment
building using water-based sensible heat storage, Energy
and Buildings 43 (6) (2011) 1231–1240.
[35] J. Zhao, Y. Chen, S. Lu, Simulation study on operating
modes of seasonal underground thermal energy storage,
in: Proceedings of ISES World Congress 2007 (Vol. I–
Vol. V), Springer, 2009, pp. 2119–2122.
[36] P. Pinel, C. Cruickshank, I. Beausoleil-Morrison,
A.Wills, A review of available methods for seasonal storage
of solar thermal energy in residential applications, Renewable
and Sustainable Energy Reviews 15 (7) (2011)
3341–3359.
[37] M. Sweet, J. McLeskey, Numerical simulation of underground
seasonal solar thermal energy storage (sstes) for a
single family dwelling using trnsys, Solar Energy.
[38] M. de Guadalfajara, M. A. Lozano, L. M. Serra, Evaluation
of the potential of large solar heating plants in spain,
Energy Procedia 30 (2012) 839–848.
[39] M. L. Sweet, J. T. McLeskey Jr, Numerical simulation
of underground seasonal solar thermal energy storage
(SSTES) for a single family dwelling using TRNSYS, Solar
Energy 86 (1) (2012) 289–300.
[40] K. Çomaklı, U. Çakır, M. Kaya, K. Bakirci, The relation
of collector and storage tank size in solar heating systems,
Energy Conversion and Management 63 (2012) 112–117.
[41] T. Schmidt, J. Nussbicker, Monitoring results from german
central solar heating plants with seasonal storage, in:
Solar World Congress, ISES, 2005, pp. 1–6.
[42] T. Schmidt, D. Mangold, New steps in seasonal thermal
energy storage in germany, Tech. rep., Solites - Steinbeis
Research Institute for Solar and Sustainable Thermal Energy
Systems (2006).
[43] T. Schmidt, Seasonal thermal energy storage - pilot
projects and experiences in germany, Tech. rep., Steinbeis
Research Institute for Solar and Sustainable Thermal
Energy Systems (2008).
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zastosowania zasobnika ciepła w elektrociepłowni z
turbin ˛ a przeciwpr˛ e˙zn˛ a w celu maksymalizacji produkcji
szczytowej energii elektrycznej, Gospodarka Paliwami i
Energi ˛ a (2) (2000) 8–12.
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wielkooeci zasobnika ciepła przy zadanym wykresie
rzeczywistym obci ˛ a˙ze´n w elektrociepłowni z turbin ˛ a
przeciwpr˛ e˙zn˛ a, Energetyka (9) (2001) 507–517.
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zasobników ciepła w elektrociepłowniach,
Gospodarka Paliwami i Energi ˛ a (5-6) (2002) 17–21.
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ciepła dla elektrociepłowni z turbin ˛ a przeciwpr˛ e˙zn˛ a,
Archiwum Energetyki 34 (2 s 185).
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jednoprzewodowego systemu przesyłania ciepła
z zastosowaniem zasobników ciepła, Prace Naukowe Politechniki
Warszawskiej. Mechanika (211) (2005) 319–
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[49] J. Zuwała, Wpływ" trybu weekendowego" pracy zasobnika
ciepła na struktur ˛ e wytwarzania energii elektrycznej
w elektrociepłowni komunalnej, Ciepłownictwo,
Ogrzewnictwo, Wentylacja.
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zintegrowanego z małym układem skojarzonym, Prace
Naukowe Politechniki Warszawskiej. Konferencje 3 (22)
(2002) 1085–1092.
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efektywno´sci energetycznej i ekonomicznej skojarzonego
wytwarzania ciepła i energii elektrycznej
przez zastosowanie zasobnika ciepła, Ciepłownictwo,
Ogrzewnictwo, Wentylacja 36 (5) (2005) 8–14.
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układach kogeneracyjnych—aspekty techniczne i ekonomiczne.
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Published
2014-09-29
How to Cite
MILEWSKI, Jaroslaw; WOLOWICZ, Marcin; BUJALSKI, Wojciech.
Methodology for choosing the optimum architecture of a STES system.
Journal of Power Technologies, [S.l.], v. 94, n. 3, p. 153--164, sep. 2014.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/554>. Date accessed: 23 nov. 2024.
Issue
Section
Energy Conversion and Storage
Keywords
Seasonal Thermal Energy Storage; methodology; architecture
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