Model-Based Control Strategies for an Efficient Integration of Solar Thermal Plants Into District Heating Grids

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Abstract

The integration of solar thermal plants into district heating grids requires advanced control strategies in order to utilize the full potential in terms of efficiency and least operating effort. State-of-the-art control strategies cannot completely fulfill this since they are not able to consider the physical characteristics of the different components, nor do they take information on future conditions and requirements into account properly. A promising attempt for improvement is the application of model-based control strategies together with practicable forecasting methods for both the solar yield as well as the heat demand. This contribution will present the results of several projects performed on the development of suitable mathematical models, forecasting methods and control strategies relevant for the integration of solar thermal plants into district heating grids.
Original languageEnglish
Title of host publicationSWC 2017 / SHC 2017 / ISES Conference Proceedings (2017)
Publication statusPublished - 29 Oct 2017
EventISES Solar World Congress 2017 - Abu Dhabi, United Arab Emirates
Duration: 29 Oct 20172 Nov 2017
http://www.shc2017.org/

Conference

ConferenceISES Solar World Congress 2017
CountryUnited Arab Emirates
Period29/10/172/11/17
Internet address

Cite this

Model-Based Control Strategies for an Efficient Integration of Solar Thermal Plants Into District Heating Grids. / Unterberger, Viktor; Muschick, Daniel; Gölles, Markus.

SWC 2017 / SHC 2017 / ISES Conference Proceedings (2017). 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Unterberger, V, Muschick, D & Gölles, M 2017, Model-Based Control Strategies for an Efficient Integration of Solar Thermal Plants Into District Heating Grids. in SWC 2017 / SHC 2017 / ISES Conference Proceedings (2017). ISES Solar World Congress 2017 , United Arab Emirates, 29/10/17.
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abstract = "The integration of solar thermal plants into district heating grids requires advanced control strategies in order to utilize the full potential in terms of efficiency and least operating effort. State-of-the-art control strategies cannot completely fulfill this since they are not able to consider the physical characteristics of the different components, nor do they take information on future conditions and requirements into account properly. A promising attempt for improvement is the application of model-based control strategies together with practicable forecasting methods for both the solar yield as well as the heat demand. This contribution will present the results of several projects performed on the development of suitable mathematical models, forecasting methods and control strategies relevant for the integration of solar thermal plants into district heating grids.",
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N2 - The integration of solar thermal plants into district heating grids requires advanced control strategies in order to utilize the full potential in terms of efficiency and least operating effort. State-of-the-art control strategies cannot completely fulfill this since they are not able to consider the physical characteristics of the different components, nor do they take information on future conditions and requirements into account properly. A promising attempt for improvement is the application of model-based control strategies together with practicable forecasting methods for both the solar yield as well as the heat demand. This contribution will present the results of several projects performed on the development of suitable mathematical models, forecasting methods and control strategies relevant for the integration of solar thermal plants into district heating grids.

AB - The integration of solar thermal plants into district heating grids requires advanced control strategies in order to utilize the full potential in terms of efficiency and least operating effort. State-of-the-art control strategies cannot completely fulfill this since they are not able to consider the physical characteristics of the different components, nor do they take information on future conditions and requirements into account properly. A promising attempt for improvement is the application of model-based control strategies together with practicable forecasting methods for both the solar yield as well as the heat demand. This contribution will present the results of several projects performed on the development of suitable mathematical models, forecasting methods and control strategies relevant for the integration of solar thermal plants into district heating grids.

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