@techreport{GhinaiyaLehmannGoettsche2022, author = {Ghinaiya, Jagdishkumar and Lehmann, Thomas and G{\"o}ttsche, Joachim}, title = {LOCAL+ - ein kreislauff{\"a}higer Holzmodulbau mit nachhaltigem Energie- und Wohnraumkonzept}, series = {Bauphysik}, volume = {44}, journal = {Bauphysik}, number = {3}, publisher = {Ernst \& Sohn}, address = {Hoboken}, issn = {0171-5445 (Print)}, doi = {10.1002/bapi.202200010}, pages = {136 -- 142}, year = {2022}, abstract = {Mit dem Beitrag des Teams der FH Aachen zum SDE 21/22 wird im Projekt LOCAL+ ein kreislauff{\"a}higer Holzmodulbau mit einem innovativen Wohnraumkonzept geplant und umgesetzt. Ziel dieses Konzeptes ist die Verringerung des stetig steigenden Wohnfl{\"a}chenbedarfs durch ein Raum-in-Raum Konzept. Geb{\"a}udetechnisch wird in dem Projekt nicht nur das Einzelgeb{\"a}ude betrachtet, sondern unter Ber{\"u}cksichtigung des Geb{\"a}udebestandes wird f{\"u}r das Quartier ein innovatives und nachhaltiges Energiekonzept entwickelt. Ein zentrales Wasserstoffsystem ist f{\"u}r ein Quartier geplant, um den Stromverbrauch aus dem Netz im Winter zu reduzieren. Zentraler Bestandteil des TGA-Konzepts ist ein unterirdischer Eisspeicher, eine PVT und eine W{\"a}rmepumpe mit intelligenter Regelstrategie. Ein Teil des neuen Geb{\"a}udes (Design Challenge DC) wird in Wuppertal als Hausdemonstrationseinheit (HDU) pr{\"a}sentiert. Eine hygrothermische Simulation der HDU wurde mit der WUFI-Software durchgef{\"u}hrt. Da im Innenraum Lehmmodule und -platten als Feuchtigkeitspuffer verwendet werden, spielen die Themen Feuchtigkeit, Holzf{\"a}ule und Schimmelwachstum eine wichtige Rolle.}, language = {de} } @inproceedings{VaessenAlexopoulosKluczkaetal.2011, author = {Vaeßen, Christiane and Alexopoulos, Spiros and Kluczka, Sven and Sattler, Johannes Christoph and Roeb, M. and Neises, M. and Abdellatif, T.}, title = {Analyse der Verfahren zur solaren Methanolproduktion aus CO2}, series = {Forschung und Entwicklung f{\"u}r solarthermische Kraftwerke : 14. K{\"o}lner Sonnenkolloquium Mittwoch, 13. Juli 2011, im Auditorium des Campus J{\"u}lich der FH Aachen : Kurzfassungen der Vortr{\"a}ge und Poster}, booktitle = {Forschung und Entwicklung f{\"u}r solarthermische Kraftwerke : 14. K{\"o}lner Sonnenkolloquium Mittwoch, 13. Juli 2011, im Auditorium des Campus J{\"u}lich der FH Aachen : Kurzfassungen der Vortr{\"a}ge und Poster}, publisher = {DLR}, address = {K{\"o}ln}, pages = {2 S.}, year = {2011}, language = {de} } @inproceedings{WarerkarSchmitzGoettscheetal.2008, author = {Warerkar, S. and Schmitz, S. and G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard and Tamme, R.}, title = {Performance analysis of an air-sand heat exchanger prototype for high-temperature storage}, series = {EuroSun 2008 : 1st International Conference on Solar Heating, Cooling and Buildings ; 7th - 10th October 2008, Lisbon, Portugal : key lectures / ISES, International Solar Energy Society. Vol. 1}, booktitle = {EuroSun 2008 : 1st International Conference on Solar Heating, Cooling and Buildings ; 7th - 10th October 2008, Lisbon, Portugal : key lectures / ISES, International Solar Energy Society. Vol. 1}, publisher = {Sociedade Portuguesa De Energia Solar (SPES)}, address = {Lissabon}, isbn = {978-1-61782-228-5}, pages = {2215 -- 2222}, year = {2008}, language = {en} } @inproceedings{KruegerAnthrakidisFischeretal.2009, author = {Kr{\"u}ger, Dirk and Anthrakidis, Anette and Fischer, Stephan and Lokurlu, Ahmet and Walder, Markus and Croy, Reiner and Quaschning, Volker}, title = {Experiences with solar steam supply for an industrial steam network in the P3 Project}, series = {SolarPACES 2009 : electricity, fuels and clean water powered by the sun ; 15 - 18 September 2009, Berlin, Germany ; the 15th SolarPACES conference ; proceedings}, booktitle = {SolarPACES 2009 : electricity, fuels and clean water powered by the sun ; 15 - 18 September 2009, Berlin, Germany ; the 15th SolarPACES conference ; proceedings}, publisher = {Deutsches Zentrum f. Luft- u. Raumfahrt}, address = {Stuttgart}, isbn = {9783000287558}, pages = {1 CD-ROM}, year = {2009}, language = {en} } @inproceedings{BlankeSchmidtGoettscheetal.2022, author = {Blanke, Tobias and Schmidt, Katharina S. and G{\"o}ttsche, Joachim and D{\"o}ring, Bernd and Frisch, J{\´e}r{\^o}me and van Treeck, Christoph}, title = {Time series aggregation for energy system design: review and extension of modelling seasonal storages}, series = {Energy Informatics}, volume = {5}, booktitle = {Energy Informatics}, number = {1, Article number: 17}, editor = {Weidlich, Anke and Neumann, Dirk and Gust, Gunther and Staudt, Philipp and Sch{\"a}fer, Mirko}, publisher = {Springer Nature}, issn = {2520-8942}, doi = {10.1186/s42162-022-00208-5}, pages = {14 Seiten}, year = {2022}, abstract = {Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, "Time series aggregation for energy system design: Modeling seasonal storage", has developed a seasonal storage model to address this issue. Simultaneously, the paper "Optimal design of multi-energy systems with seasonal storage" has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.}, language = {en} } @inproceedings{GoettscheHoffschmidtSchmitzetal.2008, author = {G{\"o}ttsche, Joachim and Hoffschmidt, Bernhard and Schmitz, S. and Sauerborn, Markus and Rebholz, C. and Iffland, D. and Badst{\"u}bner, R. and Buck, R. and Teufel, E.}, title = {Test of a mini-mirror array for solar concentrating systems}, series = {EuroSun 2008 : 1st International Conference on Solar Heating, Cooling and Buildings ; 7th - 10th October 2008, Lisbon, Portugal : key lectures / ISES, International Solar Energy Society. Vol. 1}, booktitle = {EuroSun 2008 : 1st International Conference on Solar Heating, Cooling and Buildings ; 7th - 10th October 2008, Lisbon, Portugal : key lectures / ISES, International Solar Energy Society. Vol. 1}, publisher = {Sociedade Portuguesa De Energia Solar (SPES)}, address = {Lissabon}, isbn = {978-1-61782-228-5}, pages = {1242 -- 1250}, year = {2008}, language = {en} } @inproceedings{NeumannAdamBackesetal.2021, author = {Neumann, Hannah and Adam, Mario and Backes, Klaus and B{\"o}rner, Martin and Clees, Tanja and Doetsch, Christian and Glaeser, Susanne and Herrmann, Ulf and May, Johanna and Rosenthal, Florian and Sauer, Dirk Uwe and Stadler, Ingo}, title = {Development of open educational resources for renewable energy and the energy transition process}, series = {ISES SWC 2021}, booktitle = {ISES SWC 2021}, publisher = {International Solar Energy Society}, address = {Freiburg}, doi = {10.18086/swc.2021.47.03}, pages = {6 Seiten}, year = {2021}, abstract = {The dissemination of knowledge about renewable energies is understood as a social task with the highest topicality. The transfer of teaching content on renewable energies into digital open educational resources offers the opportunity to significantly accelerate the implementation of the energy transition. Thus, in the here presented project six German universities create open educational resources for the energy transition. These materials are available to the public on the internet under a free license. So far there has been no publicly accessible, editable media that cover entire learning units about renewable energies extensively and in high technical quality. Thus, in this project, the content that remains up-to-date for a longer period is appropriately prepared in terms of media didactics. The materials enable lecturers to provide students with in-depth training about technologies for the energy transition. In a particular way, the created material is also suitable for making the general public knowledgeable about the energy transition with scientifically based material.}, language = {en} } @inproceedings{SchwagerAngeleSchwarzboezletal.2023, author = {Schwager, Christian and Angele, Florian and Schwarzb{\"o}zl, Peter and Teixeira Boura, Cristiano Jos{\´e} and Herrmann, Ulf}, title = {Model predictive assistance for operational decision making in molten salt receiver systems}, series = {SolarPACES: Solar Power \& Chemical Energy Systems}, booktitle = {SolarPACES: Solar Power \& Chemical Energy Systems}, number = {2815 / 1}, publisher = {AIP conference proceedings / American Institute of Physics}, address = {Melville, NY}, isbn = {978-0-7354-4623-6}, issn = {1551-7616 (online)}, doi = {10.1063/5.0151514}, pages = {8 Seiten}, year = {2023}, abstract = {Despite the challenges of pioneering molten salt towers (MST), it remains the leading technology in central receiver power plants today, thanks to cost effective storage integration and high cost reduction potential. The limited controllability in volatile solar conditions can cause significant losses, which are difficult to estimate without comprehensive modeling [1]. This paper presents a Methodology to generate predictions of the dynamic behavior of the receiver system as part of an operating assistance system (OAS). Based on this, it delivers proposals if and when to drain and refill the receiver during a cloudy period in order maximize the net yield and quantifies the amount of net electricity gained by this. After prior analysis with a detailed dynamic two-phase model of the entire receiver system, two different reduced modeling approaches where developed and implemented in the OAS. A tailored decision algorithm utilizes both models to deliver the desired predictions efficiently and with appropriate accuracy.}, language = {en} } @article{PeereBlanke2022, author = {Peere, Wouter and Blanke, Tobias}, title = {GHEtool: An open-source tool for borefield sizing in Python}, series = {Journal of Open Source Software}, volume = {7}, journal = {Journal of Open Source Software}, number = {76}, editor = {Vernon, Chris}, issn = {2475-9066}, doi = {10.21105/joss.04406}, pages = {1 -- 4, 4406}, year = {2022}, abstract = {GHEtool is a Python package that contains all the functionalities needed to deal with borefield design. It is developed for both researchers and practitioners. The core of this package is the automated sizing of borefield under different conditions. The sizing of a borefield is typically slow due to the high complexity of the mathematical background. Because this tool has a lot of precalculated data, GHEtool can size a borefield in the order of tenths of milliseconds. This sizing typically takes the order of minutes. Therefore, this tool is suited for being implemented in typical workflows where iterations are required. GHEtool also comes with a graphical user interface (GUI). This GUI is prebuilt as an exe-file because this provides access to all the functionalities without coding. A setup to install the GUI at the user-defined place is also implemented and available at: https://www.mech.kuleuven.be/en/tme/research/thermal_systems/tools/ghetool.}, language = {en} } @inproceedings{SchwagerAngeleNourietal.2022, author = {Schwager, Christian and Angele, Florian and Nouri, Bijan and Schwarzb{\"o}zl, Peter and Teixeira Boura, Cristiano Jos{\´e} and Herrmann, Ulf}, title = {Impact of DNI forecast quality on performance prediction for a commercial scale solar tower: Application of nowcasting DNI maps to dynamic solar tower simulation}, series = {SolarPACES 2022 conference proceedings}, booktitle = {SolarPACES 2022 conference proceedings}, number = {1}, publisher = {TIB Open Publishing}, address = {Hannover}, issn = {2751-9899 (online)}, doi = {10.52825/solarpaces.v1i.675}, pages = {9 Seiten}, year = {2022}, abstract = {Concerning current efforts to improve operational efficiency and to lower overall costs of concentrating solar power (CSP) plants with prediction-based algorithms, this study investigates the quality and uncertainty of nowcasting data regarding the implications for process predictions. DNI (direct normal irradiation) maps from an all-sky imager-based nowcasting system are applied to a dynamic prediction model coupled with ray tracing. The results underline the need for high-resolution DNI maps in order to predict net yield and receiver outlet temperature realistically. Furthermore, based on a statistical uncertainty analysis, a correlation is developed, which allows for predicting the uncertainty of the net power prediction based on the corresponding DNI forecast uncertainty. However, the study reveals significant prediction errors and the demand for further improvement in the accuracy at which local shadings are forecasted.}, language = {en} }