Conference Proceeding
Refine
Year of publication
- 2023 (5)
- 2022 (16)
- 2021 (12)
- 2020 (16)
- 2019 (8)
- 2018 (13)
- 2017 (11)
- 2016 (7)
- 2015 (10)
- 2014 (20)
- 2013 (16)
- 2012 (3)
- 2011 (9)
- 2010 (9)
- 2009 (5)
- 2008 (5)
- 2007 (2)
- 2006 (10)
- 2005 (12)
- 2004 (6)
- 2003 (2)
- 2002 (6)
- 2001 (4)
- 1999 (4)
- 1998 (3)
- 1997 (1)
- 1996 (2)
- 1991 (1)
- 1989 (1)
- 1988 (2)
- 1986 (1)
- 1983 (1)
- 1981 (1)
- 1979 (1)
- 1975 (1)
Institute
- Fachbereich Energietechnik (226) (remove)
Has Fulltext
- no (226) (remove)
Document Type
- Conference Proceeding (226) (remove)
Keywords
- Energy storage (4)
- Power plants (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Hybrid energy system (3)
- Out-of-plane load (3)
- earthquakes (3)
- Adjacent buildings (2)
- Diversity (2)
- Diversity Management (2)
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.
Extrem hohe Blitzströme
(2017)
This paper describes the concept of an innovative, interdisciplinary, user-oriented earthquake warning and rapid response system coupled with a structural health monitoring system (SHM), capable to detect structural damages in real time. The novel system is based on interconnected decentralized seismic and structural health monitoring sensors. It is developed and will be exemplarily applied on critical infrastructures in Lower Rhine Region, in particular on a road bridge and within a chemical industrial facility. A communication network is responsible to exchange information between sensors and forward warnings and status reports about infrastructures’health condition to the concerned recipients (e.g., facility operators, local authorities). Safety measures such as emergency shutdowns are activated to mitigate structural damages and damage propagation. Local monitoring systems of the infrastructures are integrated in BIM models. The visualization of sensor data and the graphic representation of the detected damages provide spatial content to sensors data and serve as a useful and effective tool for the decision-making processes after an earthquake in the region under consideration.