Refine
Year of publication
Institute
- Fachbereich Energietechnik (588) (remove)
Language
- English (588) (remove)
Document Type
- Article (361)
- Conference Proceeding (177)
- Part of a Book (25)
- Book (8)
- Conference: Meeting Abstract (7)
- Talk (3)
- Doctoral Thesis (2)
- Other (2)
- Conference Poster (1)
- Master's Thesis (1)
Keywords
- Blitzschutz (6)
- Earthquake (5)
- Diversity Management (4)
- Energy storage (4)
- Power plants (4)
- Seismic design (4)
- Associated liquids (3)
- Concentrated solar power (3)
- Elektromagnetischer Schutzschild (3)
- Hybrid energy system (3)
- Lightning (3)
- Out-of-plane load (3)
- Seismic loading (3)
- earthquakes (3)
- Adjacent buildings (2)
- Central receiver power plant (2)
- Concentrated systems (2)
- Direkter Blitzschlag (2)
- Diversity (2)
- Electricity generation (2)
- Engineering Habitus (2)
- Erneuerbare Energien (2)
- Gas turbine (2)
- Historical centres (2)
- Human-robot collaboration (2)
- Hybridsystem (2)
- INODIS (2)
- Induzierte Spannungen (2)
- Innovation Management (2)
- Lightning protection (2)
- Lightning protection system (2)
- Magnetische Felder (2)
- Masonry infill (2)
- Organizational Culture (2)
- Renewable energy (2)
- Risikoabwägung (2)
- Shake table test (2)
- Solar thermal technologies (2)
- Stone masonry (2)
- Tanks (2)
- cyber physical production system (2)
- digital shadow (2)
- electromagnetic shielding (2)
- engineering education (2)
- industrial facilities (2)
- installations (2)
- piping (2)
- reinforced concrete (2)
- seismic design (2)
- seismic loading (2)
- Academia (1)
- Acceptance (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Anti-Bias (1)
- Antibias (1)
- Artificial intelligence (1)
- Behaviour factor q (1)
- Best practice sharing (1)
- Biogas (1)
- Blind prediction competition (1)
- Blitz (1)
- Blitzrisiko (1)
- Blitzschlag (1)
- Bloom Taxonomy (1)
- COMSOL Multiphysics (1)
- Camera system (1)
- Capacity Curve (1)
- Cardiovascular MRI (1)
- Central receiver system (1)
- Ceramics (1)
- Change Management (1)
- Change management (1)
- Circular bioeconomy (1)
- Civil engineering (1)
- Cloud passages (1)
- Cognitive assistance system (1)
- Components (1)
- Concentrated solar collector (1)
- Concentrating solar power (1)
- Control optimization (1)
- Corporate Culture (1)
- DAC (1)
- DNI forecast (1)
- DNI forecasting (1)
- Decision theory (1)
- Decoupling (1)
- Design Thinking (1)
- Design examples (1)
- Digital leadership (1)
- Digitalization (1)
- Direct lightning strike (1)
- Direct normal irradiance forecast (1)
- District data model (1)
- District energy planning platform (1)
- Diversity management (1)
- Dynamic simulation (1)
- EN 1998-4 (1)
- ESHM20, industrial facilities (1)
- Earthquake Engineering (1)
- Electrochemistry (1)
- Elektromagnetische Kopplung (1)
- Emilia-Romagna earthquake (1)
- Empirical consequence curves (1)
- Empirical fragility functions (1)
- Energietechnik (1)
- Energy (1)
- Energy Systems (1)
- Energy system (1)
- Energy system planning (1)
- Engineering (1)
- Engineering Education (1)
- Ethics (1)
- Eurocode 8 (1)
- Fracture classification (1)
- Frame structure (1)
- Fresnel power plant (1)
- Future Skills (1)
- Future skills (1)
- Gasturbine (1)
- Gender (1)
- Genetic algorithm (1)
- Germany (1)
- Global change (1)
- Gust wind response (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Higher Education (1)
- Hilbert Room (1)
- Human factors (1)
- Human-centered work design (1)
- Hybridization (1)
- INSYSME (1)
- Imaging (1)
- In- plane damage (1)
- In-plane (1)
- In-plane load (1)
- In-plane performance, isolation (1)
- Inclusive work climate (1)
- Industrial facilities (1)
- Industrial units (1)
- Industrieanlagen (1)
- Infill wall design (1)
- Innovation (1)
- Interaction (1)
- Interculturality (1)
- Interdisciplinarity (1)
- Isolation (1)
- Kalkulation (1)
- Kernenergie (1)
- Key competences (1)
- Kraftwerke (1)
- Leadership (1)
- Left ventriular function (1)
- Lightning Protection (1)
- Lightning Risk (1)
- Linear elastic analysis (1)
- LiveLink for MATLAB (1)
- MR-stethoscope (1)
- Magnetic field strength (1)
- Magnetic resonance imaging (MRI) (1)
- Masonry partition walls (1)
- Masonry structures (1)
- Maßstabsgetreues Modell (1)
- Measuring instruments (1)
- Methane (1)
- Micro turbine (1)
- Mikrogasturbine (1)
- Mixed integer linear programming (MILP) (1)
- Modern constructions (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multi-storey (1)
- Neo-Deterministic (1)
- Nowcasting (1)
- Nuclear Applications (1)
- Numerical modelling (1)
- Operators (1)
- Optimization module (1)
- Organizational culture (1)
- Out-of-plane (1)
- Out-of-plane capacity (1)
- Out-of-plane failure (1)
- Out-of-plane strength (1)
- PBEE (1)
- PTC (1)
- Parabolic trough collector (1)
- Perception (1)
- Photovoltaics (1)
- Photovoltaikanlage (1)
- Piping (1)
- Postulates (1)
- Power conversion systems (1)
- Precast buildings (1)
- Privacy (1)
- Probability distribution mapping (1)
- Process prediction (1)
- Psychological concepts (1)
- Pushover analysis (1)
- Pyrometrie (1)
- Quadrocopter (1)
- Quantenmechanik (1)
- RC frames (1)
- Reinforced concrete frame (1)
- Renewable energy integration (1)
- Response spectrum (1)
- Responsibility (1)
- Risiko (1)
- Risk (1)
- Risk Assessment (1)
- Risk Management (1)
- Schrödingers cat (1)
- Seismic (1)
- Seismic Hazard (1)
- Shoulder (1)
- Silos (1)
- Slab deflection (1)
- Social impact measurement (1)
- Solar concentration (1)
- Solar dish (1)
- Solar irradiance (1)
- Spectral analysis (1)
- Stahlbeton (1)
- Stahlbetonkonstruktion (1)
- Star design (1)
- Structural design (1)
- Structural health monitoring (1)
- Sustainability (1)
- Sustainable engineering education (1)
- Tank (1)
- Temperaturmessung (1)
- Thermal Energy Storage (1)
- Time-series aggregation (1)
- Transient flux distribution (1)
- Two-phase modelling (1)
- Typical periods (1)
- UAV (1)
- Umwelt (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
- Unreinforced masonry buildings (1)
- Unreinforced masonry walls (1)
- Vulnerability Curves (1)
- Wind turbulence (1)
- Windenergieanlage (1)
- Window opening (1)
- acoustic pyrometry (1)
- behaviour factor q (1)
- best practice (1)
- bio-methane (1)
- body limbs (1)
- bubble column (1)
- bullying (1)
- calculations (1)
- carbon dioxide removal (1)
- cardiac gating (1)
- cardiovascular MR imaging (1)
- change management (1)
- churches (1)
- climate neutrality (1)
- concentrating collector (1)
- connection detail (1)
- current distribution (1)
- cyber-physical production system (1)
- deserts (1)
- digital twin (1)
- digitalization (1)
- direct air capture (1)
- dissemination (1)
- distribution grid simulation (1)
- diversity (1)
- diversity management (1)
- down-conductor (1)
- e-mobility (1)
- early warning and response system (1)
- earthquake (1)
- earthquake engineering (1)
- economics (1)
- education (1)
- elastomeric bearing (1)
- electrocardiogram (1)
- electromagnetic coupling (1)
- electromagnetic shield (1)
- energy transition (1)
- engineering (1)
- environment (1)
- equivalent stiffness (1)
- finite element method (1)
- flue gas components (1)
- fluid structure interaction (1)
- fragility curves (1)
- friction pendulum bearing (1)
- gender and diversity (1)
- granular silo (1)
- high field MR imaging (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- hybrid system (1)
- hybrid-system (1)
- hypoplasticity (1)
- impulsive effects (1)
- in-plane (1)
- in-plane and out-of-plane failure (1)
- induced voltage (1)
- induced voltages (1)
- innovation (1)
- innovation management (1)
- integration SHM in BIM (1)
- interconnected sensor systems (1)
- internet of production (1)
- lessons learned (1)
- lightning flash (1)
- linear elastic analysis; (1)
- liquid storage tank (1)
- liquid-storage tank (1)
- liquid-structure interaction (1)
- lizards (1)
- macro-element (1)
- magnetic field (1)
- magnetic fields (1)
- magnetic resonance imaging (1)
- masonry structures (1)
- metal façade (1)
- methanation (1)
- modern constructions (1)
- negative emissions (1)
- nonlinear transient analyses (1)
- open educational resources (1)
- out-of-plane (1)
- overvoltages (1)
- phonocardiogram (1)
- photovoltaic system (1)
- plug flow reactor (1)
- point-focussing system (1)
- policy recommendations (1)
- power-to-gas (1)
- protection measures (1)
- raytracing (1)
- recommendations for actions (1)
- renewable energies (1)
- renewable energy (1)
- research association (1)
- risk assessment (1)
- rollout (1)
- safety control (1)
- scaled model (1)
- seismic hazard (1)
- seismic isolation (1)
- seismic response (1)
- seismic risk (1)
- seismic structural damage detection via SHM (1)
- seismic vulnerability (1)
- simplified approach (1)
- smart-charging (1)
- social responsible engineering (1)
- solar process heat (1)
- steam production (1)
- steel columns (1)
- storage dispatch (1)
- storage optimisation (1)
- structure-soil-structure interaction (1)
- swimming (1)
- teaching (1)
- temperature measurement (1)
- thermal storage (1)
- touch voltage (1)
- truss (1)
- unreinforced masonry buildings (1)
- user & usage (1)
- vault (1)
- vocal fold oscillation (1)
- wind turbine (1)
- Überspannung (1)
Anti-bias trainings are increasingly demanded and practiced in academia and industry to increase employees’ sensitivity to discrimination, racism, and diversity. Under the heading of “Diversity Management”, anti-bias trainings are mainly offered as one-off workshops intending to raise awareness of unconscious biases, create a diversity-affirming corporate culture, awake awareness of the potential of diversity, and ultimately enable the reflection of diversity in development processes. However, coming from childhood education, research and scientific articles on the sustainable effectiveness of anti-bias in adulthood, especially in academia, are very scarce. In order to fill this research gap, the paper explores how sustainable the effects of individual anti-bias trainings on the behavior of participants are. In order to investigate this, participant observation in a qualitative pre-post setting was conducted, analyzing anti-bias trainings in an academic context. Two observers actively participated in the training sessions and documented the activities and reflection processes of the participants. Overall, the results question the effectiveness of single anti-bias trainings and show that a target-group adaptive approach is mandatory due to the background of the approach in early childhood education. Therefore, it can be concluded that anti-bias work needs to be adapted to the target group’s needs and reality of life. Furthermore, the study reveals that single anti-bias trainings must be embedded in a holistic diversity management approach to stimulate sustainable reflection processes among the target group. This paper is one of the first to scientifically evaluate anti-bias training effectiveness, especially in engineering sciences and the university context.
Sustainability is playing an increasingly important role. Not least due to the definition of the sustainable development goals (SDGs) in the framework of the agenda 2030 by the United Nations (UN) in 2015 (United Nations, n.d.), it has become clear that the cooperation of different actors is needed to achieve the defined 17 goals. Industry, as a global actor, has a special role to play in this. In the course of sustainable production processes and chains, the industry is confronted with the responsibility of reflecting on the consequences of its own trade on an ecological, economic, and also social level and deriving measures that, according to the definition of sustainability (Hauff, 1987), will also enable future generations to satisfy their needs. While the ecological pillar of sustainability is already being addressed by different industrial initiatives (Deloitte, 2021), it is questionable to what extent the economic and, above all, the social pillars of sustainability also play a decisive role. Accordingly, it is questionable to what extent sustainability in its triad of social, ecological, and economic aspects is taken into account holistically at all, and thus to what extent the industry contributes to achieving the 17 goals defined by the UN.
This paper presents a qualitative study that explores these questions. Interviewing 31 representatives from the manufacturing industry in Germany, results indicate a Paradox of Sustainable Production expressed by a theoretical reflection of the need for focusing on people in production processes on the one hand and a lack of addressing the social pillar of sustainability in concepts on the other hand. However, while it is a troublesome finding given the striking need for sustainable development (The-Sustainable-Development-Goals-Report-2022; Kropp 2019; von Hauff 2021; Roy and Singh 2017), the paradox directly lays out a path of resolving it. This is because, given its nature, we can see that we could resolve it via the implementation of strong educational efforts trying to help the respective people of the manufacturing industry to understand the holistic and interdependent character of sustainable development (The-Sustainable-Development-Goals-Report-2022).
Like all preceding transformations of the manufacturing industry, the large-scale usage of production data will reshape the role of humans within the sociotechnical production ecosystem. To ensure that this transformation creates work systems in which employees are empowered, productive, healthy, and motivated, the transformation must be guided by principles of and research on human-centered work design. Specifically, measures must be taken at all levels of work design, ranging from (1) the work tasks to (2) the working conditions to (3) the organizational level and (4) the supra-organizational level. We present selected research across all four levels that showcase the opportunities and requirements that surface when striving for human-centered work design for the Internet of Production (IoP). (1) On the work task level, we illustrate the user-centered design of human-robot collaboration (HRC) and process planning in the composite industry as well as user-centered design factors for cognitive assistance systems. (2) On the working conditions level, we present a newly developed framework for the classification of HRC workplaces. (3) Moving to the organizational level, we show how corporate data can be used to facilitate best practice sharing in production networks, and we discuss the implications of the IoP for new leadership models. Finally, (4) on the supra-organizational level, we examine overarching ethical dimensions, investigating, e.g., how the new work contexts affect our understanding of responsibility and normative values such as autonomy and privacy. Overall, these interdisciplinary research perspectives highlight the importance and necessary scope of considering the human factor in the IoP.
This study analyses the expected utilization of an urban distribution grid under high penetration of photovoltaic and e-mobility with charging infrastructure on a residential level. The grid utilization and the corresponding power flow are evaluated, while varying the control strategies and photovoltaic installed capacity in different scenarios. Four scenarios are used to analyze the impact of e-mobility. The individual mobility demand is modelled based on the largest German studies on mobility “Mobilität in Deutschland”, which is carried out every 5 years. To estimate the ramp-up of photovoltaic generation, a potential analysis of the roof surfaces in the supply area is carried out via an evaluation of an open solar potential study. The photovoltaic feed-in time series is derived individually for each installed system in a resolution of 15 min. The residential consumption is estimated using historical smart meter data, which are collected in London between 2012 and 2014. For a realistic charging demand, each residential household decides daily on the state of charge if their vehicle requires to be charged. The resulting charging time series depends on the underlying behavior scenario. Market prices and mobility demand are therefore used as scenario input parameters for a utility function based on the current state of charge to model individual behavior. The aggregated electricity demand is the starting point of the power flow calculation. The evaluation is carried out for an urban region with approximately 3100 residents. The analysis shows that increased penetration of photovoltaics combined with a flexible and adaptive charging strategy can maximize PV usage and reduce the need for congestion-related intervention by the grid operator by reducing the amount of kWh charged from the grid by 30% which reduces the average price of a charged kWh by 35% to 14 ct/kWh from 21.8 ct/kWh without PV optimization. The resulting grid congestions are managed by implementing an intelligent price or control signal. The analysis took place using data from a real German grid with 10 subgrids. The entire software can be adapted for the analysis of different distribution grids and is publicly available as an open-source software library on GitHub.
Damage of reinforced concrete (RC) frames with masonry infill walls has been observed after many earthquakes. Brittle behaviour of the masonry infills in combination with the ductile behaviour of the RC frames makes infill walls prone to damage during earthquakes. Interstory deformations lead to an interaction between the infill and the RC frame, which affects the structural response. The result of this interaction is significant damage to the infill wall and sometimes to the surrounding structural system too. In most design codes, infill walls are considered as non-structural elements and neglected in the design process, because taking into account the infills and considering the interaction between frame and infill in software packages can be complicated and impractical. A good way to avoid negative aspects arising from this behavior is to ensure no or low-interaction of the frame and infill wall, for instance by decoupling the infill from the frame. This paper presents the numerical study performed to investigate new connection system called INODIS (Innovative Decoupled Infill System) for decoupling infill walls from surrounding frame with the aim to postpone infill activation to high interstory drifts thus reducing infill/frame interaction and minimizing damage to both infills and frames. The experimental results are first used for calibration and validation of the numerical model, which is then employed for investigating the influence of the material parameters as well as infill’s and frame’s geometry on the in-plane behaviour of the infilled frames with the INODIS system. For all the investigated situations, simulation results show significant improvements in behaviour for decoupled infilled RC frames in comparison to the traditionally infilled frames.
Technical assessment of Brayton cycle heat pumps for the integration in hybrid PV-CSP power plants
(2022)
The hybridization of Concentrated Solar Power (CSP) and Photovoltaics (PV) systems is a promising approach to reduce costs of solar power plants, while increasing dispatchability and flexibility of power generation. High temperature heat pumps (HT HP) can be utilized to boost the salt temperature in the thermal energy storage (TES) of a Parabolic Trough Collector (PTC) system from 385 °C up to 565 °C. A PV field can supply the power for the HT HP, thus effectively storing the PV power as thermal energy. Besides cost-efficiently storing energy from the PV field, the power block efficiency of the overall system is improved due to the higher steam parameters. This paper presents a technical assessment of Brayton cycle heat pumps to be integrated in hybrid PV-CSP power plants. As a first step, a theoretical analysis was carried out to find the most suitable working fluid. The analysis included the fluids Air, Argon (Ar), Nitrogen (N2) and Carbon dioxide (CO2). N2 has been chosen as the optimal working fluid for the system. After the selection of the ideal working medium, different concepts for the arrangement of a HT HP in a PV-CSP hybrid power plant were developed and simulated in EBSILON®Professional. The concepts were evaluated technically by comparing the number of components required, pressure losses and coefficient of performance (COP).
Concentrated Solar Power (CSP) systems are able to store energy cost-effectively in their integrated thermal energy storage (TES). By intelligently combining Photovoltaics (PV) systems with CSP, a further cost reduction of solar power plants is expected, as well as an increase in dispatchability and flexibility of power generation. PV-powered Resistance Heaters (RH) can be deployed to raise the temperature of the molten salt hot storage from 385 °C up to 565 °C in a Parabolic Trough Collector (PTC) plant. To avoid freezing and decomposition of molten salt, the temperature distribution in the electrical resistance heater is investigated in the present study. For this purpose, a RH has been modeled and CFD simulations have been performed. The simulation results show that the hottest regions occur on the electric rod surface behind the last baffle. A technical optimization was performed by adjusting three parameters: Shell-baffle clearance, electric rod-baffle clearance and number of baffles. After the technical optimization was carried out, the temperature difference between the maximum temperature and the average outlet temperature of the salt is within the acceptable limits, thus critical salt decomposition has been avoided. Additionally, the CFD simulations results were analyzed and compared with results obtained with a one-dimensional model in Modelica.
Monte Carlo Tree Search (MCTS) is a search technique that in the last decade emerged as a major breakthrough for Artificial Intelligence applications regarding board- and video-games. In 2016, AlphaGo, an MCTS-based software agent, outperformed the human world champion of the board game Go. This game was for long considered almost infeasible for machines, due to its immense search space and the need for a long-term strategy. Since this historical success, MCTS is considered as an effective new approach for many other scientific and technical problems. Interestingly, civil structural engineering, as a discipline, offers many tasks whose solution may benefit from intelligent search and in particular from adopting MCTS as a search tool. In this work, we show how MCTS can be adapted to search for suitable solutions of a structural engineering design problem. The problem consists of choosing the load-bearing elements in a reference reinforced concrete structure, so to achieve a set of specific dynamic characteristics. In the paper, we report the results obtained by applying both a plain and a hybrid version of single-agent MCTS. The hybrid approach consists of an integration of both MCTS and classic Genetic Algorithm (GA), the latter also serving as a term of comparison for the results. The study’s outcomes may open new perspectives for the adoption of MCTS as a design tool for civil engineers.
Masonry infill walls are the most traditional enclosure system that is still widely used in RC frame buildings all over the world, particularly in seismic active regions. Although infill walls are usually neglected in seismic design, during an earthquake event they are subjected to in-plane and out-of-plane forces that can act separately or simultaneously. Since observations of damage to buildings after recent earthquakes showed detrimental effects of in-plane and out-of-plane load interaction on infill walls, the number of studies that focus on influence of in-plane damage on out-of-plane response has significantly increased. However, most of the xperimental campaigns have considered only solid infills and there is a lack of combined in-plane and out-of-plane experimental tests on masonry infills with openings, although windows and doors strongly affect seismic performance. In this paper, two types of experimental tests on infills with window openings are presented. The first is a pure out-of-plane test and the second one is a sequential in-plane and out-of-plane test aimed at investigating the effects of existing in-plane damage on outof-plane response. Additionally, findings from two tests with similar load procedure that were carried out on fully infilled RC frames in the scope of the same project are used for comparison. Test results clearly show that window opening increased vulnerability of infills to combined seismic actions and that prevention of damage in infills with openings is of the utmost importance for seismic safety.
In the past, CSP and PV have been seen as competing technologies. Despite massive reductions in the electricity generation costs of CSP plants, PV power generation is - at least during sunshine hours - significantly cheaper. If electricity is required not only during the daytime, but around the clock, CSP with its inherent thermal energy storage gets an advantage in terms of LEC. There are a few examples of projects in which CSP plants and PV plants have been co-located, meaning that they feed into the same grid connection point and ideally optimize their operation strategy to yield an overall benefit. In the past eight years, TSK Flagsol has developed a plant concept, which merges both solar technologies into one highly Integrated CSP-PV-Hybrid (ICPH) power plant. Here, unlike in simply co-located concepts, as analyzed e.g. in [1] – [4], excess PV power that would have to be dumped is used in electric molten salt heaters to increase the storage temperature, improving storage and conversion efficiency. The authors demonstrate the electricity cost sensitivity to subsystem sizing for various market scenarios, and compare the resulting optimized ICPH plants with co-located hybrid plants. Independent of the three feed-in tariffs that have been assumed, the ICPH plant shows an electricity cost advantage of almost 20% while maintaining a high degree of flexibility in power dispatch as it is characteristic for CSP power plants. As all components of such an innovative concept are well proven, the system is ready for commercial market implementation. A first project is already contracted and in early engineering execution.
New materials often lead to innovations and advantages in technical applications. This also applies to the particle receiver proposed in this work that deploys high-temperature and scratch resistant transparent ceramics. With this receiver design, particles are heated through direct-contact concentrated solar irradiance while flowing downwards through tubular transparent ceramics from top to bottom. In this paper, the developed particle receiver as well as advantages and disadvantages are described. Investigations on the particle heat-up characteristics from solar irradiance were carried out with DEM simulations which indicate that particle temperatures can reach up to 1200 K. Additionally, a simulation model was set up for investigating the dynamic behavior. A test receiver at laboratory scale has been designed and is currently being built. In upcoming tests, the receiver test rig will be used to validate the simulation results. The design and the measurement equipment is described in this work.
The seismic performance and safety of major European industrial facilities has a global interest for Europe, its citizens and economy. A potential major disaster at an industrial site could affect several countries, probably far beyond the country where it is located. However, the seismic design and safety assessment of these facilities is practically based on national, often outdated seismic hazard assessment studies, due to many reasons, including the absence of a reliable, commonly developed seismic hazard model for whole Europe. This important gap is no more existing, as the 2020 European Seismic Hazard Model ESHM20 was released in December 2021. In this paper we investigate the expected impact of the adoption of ESHM20 on the seismic demand for industrial facilities, through the comparison of the ESHM20 probabilistic hazard at the sites where industrial facilities are located with the respective national and European regulations. The goal of this preliminary work in the framework of Working Group 13 of the European Association for Earthquake Engineering (EAEE), is to identify potential inadequacies in the design and safety control of existing industrial facilities and to highlight the expected impact of the adoption of the new European Seismic Hazard Model on the design of new industrial facilities and the safety assessment of existing ones.
An interdisciplinary view on humane interfaces for digital shadows in the internet of production
(2022)
Digital shadows play a central role for the next generation industrial internet, also known as Internet of Production (IoP). However, prior research has not considered systematically how human actors interact with digital shadows, shaping their potential for success. To address this research gap, we assembled an interdisciplinary team of authors from diverse areas of human-centered research to propose and discuss design and research recommendations for the implementation of industrial user interfaces for digital shadows, as they are currently conceptualized for the IoP. Based on the four use cases of decision support systems, knowledge sharing in global production networks, human-robot collaboration, and monitoring employee workload, we derive recommendations for interface design and enhancing workers’ capabilities. This analysis is extended by introducing requirements from the higher-level perspectives of governance and organization.
This study investigated the anaerobic digestion of an algal–bacterial biofilm grown in artificial wastewater in an Algal Turf Scrubber (ATS). The ATS system was located in a greenhouse (50°54′19ʺN, 6°24′55ʺE, Germany) and was exposed to seasonal conditions during the experiment period. The methane (CH4) potential of untreated algal–bacterial biofilm (UAB) and thermally pretreated biofilm (PAB) using different microbial inocula was determined by anaerobic batch fermentation. Methane productivity of UAB differed significantly between microbial inocula of digested wastepaper, a mixture of manure and maize silage, anaerobic sewage sludge, and percolated green waste. UAB using sewage sludge as inoculum showed the highest methane productivity. The share of methane in biogas was dependent on inoculum. Using PAB, a strong positive impact on methane productivity was identified for the digested wastepaper (116.4%) and a mixture of manure and maize silage (107.4%) inocula. By contrast, the methane yield was significantly reduced for the digested anaerobic sewage sludge (50.6%) and percolated green waste (43.5%) inocula. To further evaluate the potential of algal–bacterial biofilm for biogas production in wastewater treatment and biogas plants in a circular bioeconomy, scale-up calculations were conducted. It was found that a 0.116 km2 ATS would be required in an average municipal wastewater treatment plant which can be viewed as problematic in terms of space consumption. However, a substantial amount of energy surplus (4.7–12.5 MWh a−1) can be gained through the addition of algal–bacterial biomass to the anaerobic digester of a municipal wastewater treatment plant. Wastewater treatment and subsequent energy production through algae show dominancy over conventional technologies.
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.
Industrial production systems are facing radical change in multiple dimensions. This change is caused by technological developments and the digital transformation of production, as well as the call for political and social change to facilitate a transformation toward sustainability. These changes affect both the capabilities of production systems and companies and the design of higher education and educational programs. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these concepts, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the capabilities dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we discuss the benefits of capturing expert knowledge and making it accessible to newcomers, especially in highly specialized industries. The experts argue that in order to cope with the challenges and circumstances of today’s world, students must already during their education at university learn how to work with AI and other technologies. This means that study programs must change and that universities must adapt their structural aspects to meet the needs of the students.
Recent earthquakes as the 2012 Emilia earthquake sequence showed that recently built unreinforced masonry (URM) buildings behaved much better than expected and sustained, despite the maximum PGA values ranged between 0.20–0.30 g, either minor damage or structural damage that is deemed repairable. Especially low-rise residential and commercial masonry buildings with a code-conforming seismic design and detailing behaved in general very well without substantial damages. The low damage grades of modern masonry buildings that was observed during this earthquake series highlighted again that codified design procedures based on linear analysis can be rather conservative. Although advances in simulation tools make nonlinear calculation methods more readily accessible to designers, linear analyses will still be the standard design method for years to come. The present paper aims to improve the linear seismic design method by providing a proper definition of the q-factor of URM buildings. These q-factors are derived for low-rise URM buildings with rigid diaphragms which represent recent construction practise in low to moderate seismic areas of Italy and Germany. The behaviour factor components for deformation and energy dissipation capacity and for overstrength due to the redistribution of forces are derived by means of pushover analyses. Furthermore, considerations on the behaviour factor component due to other sources of overstrength in masonry buildings are presented. As a result of the investigations, rationally based values of the behaviour factor q to be used in linear analyses in the range of 2.0–3.0 are proposed.
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.
A promising approach to reduce the system costs of molten salt solar receivers is to enable the irradiation of the absorber tubes on both sides. The star design is an innovative receiver design, pursuing this approach. The unconventional design leads to new challenges in controlling the system. This paper presents a control concept for a molten salt receiver system in star design. The control parameters are optimized in a defined test cycle by minimizing a cost function. The control concept is tested in realistic cloud passage scenarios based on real weather data. During these tests, the control system showed no sign of unstable behavior, but to perform sufficiently in every scenario further research and development like integrating Model Predictive Controls (MPCs) need to be done. The presented concept is a starting point to do so.
Promoting diversity and combatting discrimination in research organizations: a practitioner’s guide
(2022)
The essay is addressed to practitioners in research management and from
academic leadership. It describes which measures can contribute to creating an inclusive climate for research teams and preventing and effectively dealing with discrimination. The practical recommendations consider the policy and organizational levels, as well as the individual perspective of research managers. Following a series of basic recommendations, six lessons learned are formulated, derived from the contributions to the edited collection on “Diversity and Discrimination in Research Organizations.”