@phdthesis{Muench2026, author = {M{\"u}nch, Justin}, title = {Mehrwert von Methoden des Maschinellen Lernens f{\"u}r die simulative Bewertung der Versorgungssicherheit mit Elektrizit{\"a}t}, publisher = {Hochschule D{\"u}sseldorf}, address = {D{\"u}sseldorf}, doi = {10.20385/opus4-5830}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-58306}, school = {Hochschule D{\"u}sseldorf}, pages = {126}, year = {2026}, abstract = {Politik und Wirtschaft sind auf eine fundierte, schnelle und flexible Bewertung der Ver-sorgungssicherheit mit Elektrizit{\"a}t als Grundlage strategischer Entscheidungen angewiesen. Dazu werden komplexe probabilistische Simulationsmodelle unter Einbeziehung einer hohen Anzahl m{\"o}glicher Zukunftsszenarien verwendet. Allerdings schr{\"a}nken die langen Rechenlaufzeiten von mehreren Stunden pro Szenario die Analysetiefe ein. Zudem werden die Analysen durch die Prognose der zeitlich aufgel{\"o}sten zuk{\"u}nftigen Randbedingungen erschwert. Die vorliegende Arbeit zeigt, dass sich mit Methoden aus dem Bereich des Maschinellen Lernens (ML) in Kombination mit angepassten Methoden des Design of Experiments die Kennzahlen der Versorgungssicherheit mit Elektrizit{\"a}t aus einem komplexen Simulationsmodell auf Basis rekursiver Faltungen sehr gut approximieren lassen. Die Zeitreduktion im Vergleich zum nativen Simulationsmodell ist sehr hoch, bei gleichzeitig hoher Genauigkeit. Auch im Bereich der Prognose zeitlich aufgel{\"o}ster Randbedingungen demonstrieren die Ergebnisse ein erhebliches Verbesserungspotenzial von ML-Methoden im Vergleich zu klassischen Verfahren. Zusammengefasst sind die untersuchten und vorgeschlagenen ML-Methoden in der Lage, die Versorgungssicherheit mit Elektrizit{\"a}t komplexit{\"a}tsgerecht (tausende von Zukunftsszenarien) in praktikabel kurzer Zeit (weniger als eine Stunde) detailliert zu analysieren.}, subject = {Deep Learning}, language = {de} } @article{SShajahanRetal.2026, author = {S, Kasiviswanathan and Shajahan, Mohamed Iqbal and R, Bharathiraja and Murali, Arun Prasad and Benim, Ali Cemal}, title = {Comprehensive overview of phase change materials in electronics, building, and solar applications}, series = {Engineering Research Express}, volume = {8}, journal = {Engineering Research Express}, number = {3}, publisher = {IOP Publishing}, issn = {2631-8695}, doi = {10.1088/2631-8695/ae342a}, year = {2026}, abstract = {Phase change materials (PCMs) are a viable way to improve energy efficiency and thermal control in a variety of sectors. With an emphasis on their function in thermal control, this review article offers an in-depth review of PCM applications in electronics, buildings and solar energy systems. PCMs are used in electronics to control device temperatures, which lowers the risk of overheating and increases operational efficiency by 10\% to 25\%. Through latent heat storage and release in reaction to temperature changes, PCMs are incorporated into walls, floors, and roofs in building applications to improve thermal comfort and cut energy use by 15\% to 30\%. By storing thermal energy for steady power generation, PCMs increase the dependability and efficiency of solar energy systems by 8\%-20\%. This review examines the basic ideas behind PCMs, assesses various PCM (such as organic, inorganic, and eutectic PCMs), and details about real-world applications in these energy management fields. Important issues are examined, such as material compatibility, cost-effectiveness, and long-term stability. In order to maximize performance in these crucial applications, the conclusion emphasizes the need for improvements in cost-effective PCM formulations for the improved thermal conductivity (0.2-0.7 W m-1·K-1), and adaptive control systems.}, subject = {Energieeffizienz}, language = {en} } @inproceedings{ReichRathjenAdam2025, author = {Reich, Marius and Rathjen, Patrick and Adam, Mario}, title = {Precomputed ML Surrogates for Energy System Design: Methodology and In-Depth Evaluation}, series = {Book of Abstracts 2025: 11th International Conference on Smart Energy Systems, 16-17 September 2025. Copenhagen}, booktitle = {Book of Abstracts 2025: 11th International Conference on Smart Energy Systems, 16-17 September 2025. Copenhagen}, editor = {Henrik, Lund and Brain Vad, Mathiesen and {\O}stergaard, Poul Alberg and Thellufsen, Jakob Zinck and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, year = {2025}, language = {en} } @inproceedings{ReichPatrickAdam2024, author = {Reich, Marius and Patrick, Rathjen and Adam, Mario}, title = {Harnessing Machine Learning for Rapid Optimization: Integration of Time Series Data into Prior Approximation of Energy System Simulations}, series = {Book of Abstracts :10th International Conference on Smart Energy Systems}, booktitle = {Book of Abstracts :10th International Conference on Smart Energy Systems}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Poul Alberg and Thellufsen, Jakob Zinck and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {73}, year = {2024}, language = {en} } @inproceedings{ReichPrusasAdam2023, author = {Reich, Marius and Prusas, Benedikt and Adam, Mario}, title = {Prior-Approximation of Rule-Based Energy System Simulation for Fast Design Optimization}, series = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, booktitle = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Paul Alberg and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {115}, year = {2023}, language = {en} } @inproceedings{GottschaldReichAdam2023, author = {Gottschald, Jonas and Reich, Marius and Adam, Mario}, title = {Lessons Learned: On the Potentials and Challenges of a Model Predictive Controlled DHN Heat Supply}, series = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, booktitle = {Book of Abstracts: 9th International Conference on Smart Energy Systems. Aalborg Universitet}, editor = {Lund, Henrik and Mathiesen, Brian Vad and {\O}stergaard, Paul Alberg and Brodersen, Hans J{\o}rgen}, publisher = {Aalborg University}, address = {Aalborg}, pages = {87 -- 87}, year = {2023}, language = {en} } @unpublished{DeckertSchomakerGrasmik2026, author = {Deckert, Carsten and Schomaker, Rahel M. and Grasmik, Jeanna}, title = {Universalism and Innovation: The Influence of Impartiality and Inclusiveness on National Innovativeness}, series = {Queios}, journal = {Queios}, publisher = {Qeios Ltd}, doi = {10.32388/KNI4FN}, year = {2026}, abstract = {The innovative capacity of a country is a key factor in its economic development. While classical approaches primarily emphasize technological and economic aspects, cultural and moral influences are increasingly coming into focus in research. In particular, the treatment of out-groups and the intensity of in-group preferences play a crucial role, as expressed in the societal contrast between social cohesion and individual freedom. A central aspect of this debate is the moral dimension, particularly the tension between universalism, relativism, and particularism. This study examines the impact of universalism on a country's innovativeness by situating the concept within cultural theory and analyzing it empirically. The findings provide new insights into the relationship between cultural values and innovation potential with regard to moral capital in a society.}, language = {en} } @misc{OPUS4-6085, title = {1045 - Vierte Satzung zur {\"A}nderung der Pr{\"u}fungsordnung f{\"u}r den Masterstudiengang „Umweltingenieurwesen" an der Hochschule D{\"u}sseldorf vom 18.02.2026}, address = {D{\"u}sseldorf}, organization = {Hochschule D{\"u}sseldorf}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-60857}, pages = {2}, year = {2026}, abstract = {Aufgrund der \S\S 2 Abs. 4, 64 Abs. 1 des Gesetzes {\"u}ber die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell g{\"u}ltigen Fassung hat die Hochschule D{\"u}sseldorf die folgende Ordnung als Satzung erlassen.}, language = {de} } @misc{OPUS4-6084, title = {1044 - Erste Satzung zur {\"A}nderung der Pr{\"u}fungsordnung f{\"u}r den Bachelorstudiengang Haus-, Energie- und Anlagentechnik (HEAT) an der Hochschule D{\"u}sseldorf vom 18.02.2026}, address = {D{\"u}sseldorf}, organization = {Hochschule D{\"u}sseldorf}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-60846}, pages = {2}, year = {2026}, abstract = {Aufgrund der \S\S 2 Abs. 4, 64 Abs. 1 des Gesetzes {\"u}ber die Hochschulen des Landes Nordrhein-Westfalen (Hochschulgesetz - HG) vom 16.09.2014 (GV. NRW. S. 547) in der aktuell g{\"u}ltigen Fassung hat die Hochschule D{\"u}sseldorf die folgende Ordnung als Satzung erlassen.}, language = {de} } @article{BergmannHaddadThoelkeJeongetal.2026, author = {Bergmann, Marie and Haddad-Thoelke, Pascale and Jeong, Haeran and Kappeler, Ron and Altug, Hicran and Oberwinster, Lukas and Boogaard, Hanna and Pohl, Tobias and Soppa, Vanessa and Ogurtsova, Katherine and Joss, Meltem Kutlar and Andersen, Zorana Jovanovic and Hoffmann, Barbara}, title = {Systematic review and meta-analysis on the health effects of long-term exposure to ultrafine particles}, series = {European Respiratory Review}, volume = {35}, journal = {European Respiratory Review}, number = {179}, publisher = {European Respiratory Society}, issn = {1600-0617}, doi = {10.1183/16000617.0156-2025}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-60272}, pages = {39}, year = {2026}, abstract = {Background Ultrafine particles (≤100 nm diameter) may have a higher toxicity than larger particles but are still not regulated nor part of routine air pollution monitoring. So far, health effects of long-term exposure to ambient ultrafine particles are not well understood, owing to a lack of exposure data and epidemiological studies. Methods We conducted a systematic review and meta-analysis on the health effects of long-term exposure to ultrafine particles, including studies published until December 2024. A meta-analysis was conducted for outcomes with at least four available effect estimates. Confidence in the body of evidence was evaluated using the Office of Health Assessment and Translation method. Results We identified 85 studies investigating various mortality, morbidity and subclinical outcomes. In meta-analyses of single-pollutant models, we found positive associations with natural mortality (hazard ratio 1.06, 95\% CI 1.04-1.08) and C-reactive protein (10.14\% increase (95\% CI -0.51-21.99\%) per 10 000 pt·cm-3 increase in long-term exposure to ultrafine particles, with low and inadequate levels of evidence, respectively. The remaining studies revealed overall limited evidence for adverse effects on a wide range of outcomes. Less than half of the studies adjusted for co-pollutants. Conclusion The evidence base on long-term health effects of ultrafine particles has increased substantially in the past decade, while the overall evidence for independent effects of long-term ultrafine particle exposure remains inadequate to low. More studies are needed to draw firm conclusions about the independent adverse effects of long-term ultrafine particles on various health end-points, with a special focus on the influence of co-pollutant adjustment.}, subject = {Schadstoffbelastung}, language = {en} }