EuroSun2008-5

Conclusion, discussion and outlook

An overview of methods for monitoring and failure detection has been presented in this paper. Several differences are highlighted by means of a partial multi-criteria analysis. The results are presented in a performance matrix, in which the methods are qualitatively evaluated with certain criteria. Quite a few methods are in an (advanced) stage of research and development, this complicates the analysis of the functioning of the different approaches. The Input/Output Controller, Guaranteed Solar Results and Manual monitoring can already be applied in commercially built solar thermal systems. Of those, the Input/Output Controller is the only one that analyses the measurement data automatically and provides an automatic failure indication.

However, none of the approaches include the auxiliary heating system. Several approaches, e. g. the method from Kassel University, are being developed further to increase the ability of detection and identification of failures. Furthermore practical experience has to be gained for a better evaluation of the performance of several approaches.

Acknowledgement

The authors gratefully acknowledge the financial support provided by the Marie Curie early stage Research Training Network ‘Advanced solar heating and cooling for buildings - SOLNET’ that is funded by the European Commission under contract MEST-CT-2005-020498 of the Sixth Framework Programme.

References

[1] Dodgson, J., Spackman, M., Pearman, A. D., Phillips, L. D., 2000. Multi-criteria Analysis: a Manual. Department of the Environment, Transport and Regions, London.

[2] Fink, C., Riva, R., Pertl, M., Wagner, W., 2006. OPTISOL - Messtechnisch begleitete Demonstrationsprojekte fur optimierte und standardisierte Solarsysteme im Mehrfamilienwohnbau. AEE - Institut fur Nachhaltige Technologien, Gleisdorf, Austria.

[3] Altgeld, H., Mahler, M., 1999. Funktionskontrolle bei kleinen thermischen Solaranlagen ohne Warmemengenmessung. Testzentrum Saarbrucken, Saarbrucken, Germany.

[4] Altgeld, H., 1999. Funktionskontrollen bei kleinen thermischen Solaranlagen ohne Warmemengenmessung. Hochschule fur Technik und Wirtschaft des Saarlandes, Saarbruecken, Germany.

[5] Grossenbacher, U., 2003. Qualitatssicherungssystem fur Solaranlagen; Methode zur permanenten Funktionskontrolle thermischer Solaranlagen. EnergieBuro Grossenbacher, Murten, Switzerland.

[6] Synetrum AG, 1998. Qualitatssicherung bei Solaranlagen: Permanente Funktionskontrolle. Synetrum AG, Murten, Switzerland.

[7] Kalogirou, S. A., Panteliou, S., Dentsoras, A., 1999. Modeling of solar domestic water heating systems using artificial neural networks. Solar Energy 65, pp. 335-342.

[8] Kalogirou, S., Lalot, S., Florides, G., Desmet, B., 2008. Development of a neural network-based fault diagnostic system for solar thermal applications. Solar Energy 82, pp. 164-172.

[9] Parisch, P., Vanoli, K., 2007. Quality assurance with the ISFH-Input/Output-Procedure 6-year-experience with 14 solar thermal systems. Proceedings of ESTEC 2007, Freiburg, Germany, pp. 315-320.

[10] Parisch, P., Vanoli, K., 2007. Wissenschaftlicher Schlussbericht Kapitel 1-6; Forschungsvorhaben: Wissenschaftlich-technische Untersuchung des ISFH-Input/Output-Verfahrens zur Ertragskontrolle solarthermischer Systeme sowie Entwicklung und Erprobung von Input/Output-Controllern. Institut fur Solarenergieforschung GmbH, Hameln/Emmerthal, Germany.

[11] Wiese, F., 2006. Langzeituberwachung grofler solarintegrierter Warmeversorgungsanlagen. Ph. D. Thesis, Kassel University, Kassel, Germany.

[12] Wiese, F., Vajen, K., Krause, M., Knoch, A., 2007. Automatic fault detection for big solar heating systems. Proceedings of ISES Solar World Congress, Beijing, China, pp. 759-763.

[13] Luboschik, U., Schalajda, P., Halagic, N., Heinzelmann, P. J., Backes, J., 1997. Garantierte Resultate von thermischen Solaranlagen; Ein Projekt zur Markteinfuhrung solarthermischer Anlagen. ASEW, Schluflbericht Projekt SE/475/93/DE/FR, EU project.

[14] Peuser, F., Remmers, K., Schnauss, M., 2002. Solar Thermal Systems. Solar Praxis AG, Germany.

EuroSun2008-5

Automatic Control System

The whole automation system is mainly divided into two parts: one part is the hardware equipments consisted of all kinds of devices used in the testing system; the other part …

The application of the regulations minimal solar collector area

Following the new regulations, a three bedrooms autonomous zone must have a minimal collector area of 4 m2 independently of the climate zone were is located. From the simulations results …

Measured sequences used for validation purposes

The comparison of experimental and calculated instantaneous power results, obtained after the different approaches presented in the previous section, is based on instantaneous efficiency measurements for a CPC collector (C …

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