1,720,983 research outputs found
On Robustness of Power Grids
No full textCurrent and future trends in environmental, economical, and human-caused factors (such as power demand growth, over-ageing of assets in power grids, and extreme weather conditions) challenge power grid robustness in the near future, necessitating research to better analyse and understand the notion of robustness in power grids, and ultimately to enhance it. This dissertation investigates the robustness of power grids from a Complex Networks Theory perspective to develop concepts and measures to quantitatively assess power grid robustness. A set of metrics are proposed to quantitatively assess the robustness of power transmission and distribution grids accounting for the impact of the key system characteristics such as the operative state and the topology. The proposed metrics provide means to exploit the relationship between the topology, operation, and robustness performance of power grids. They are experimentally validated using models of power grids, and applied on IEEE power systems, synthetically generated power grids, and real world power grids. The proposed metrics assist grid operators for dynamical optimization of flow and topology of a given power grid, and grid analysts in strategic asset management and network expansion planning processes for the purpose of robustness enhancement of a power grid.Multi Actor SystemsTechnology, Policy and Managemen
Empowering retailers to compete offline with online insights: Design research to design a digital multi-sided data analytics platform for the dutch foodservice industry
No full textDigital multi-sided platforms (MSP) bring together different parties by enabling interaction between them. Unfortunately little is known on how digital MSPs can be designed. This research aims to contribute to solving this problem by adding knowledge on design principles of multi-sided platforms in the nascent stage of development using design science research. It does so by applying the design cycle of Verschuren & Hartog on the case of platform start-up company Checkmetrix. Execution of one full design cycle results in development of a MSP for the Dutch foodservice industry and the evaluation and development of eight principles that can inform the design of early stage digital MSPs. The main contribution of this research is development of the principle that platform startups in markets where one side of the market is a large enterprise should focus on development of a value-creating product for a side of the market with small players.Technology, Policy and ManagementEngineering, Systems and ServicesSEPAM I
DevOps Implementation Model for Large IT Service Organizations
No full textTechnology, Policy and ManagementEngineering, Systems and ServicesInformation and Communication Technolog
Issue dynamics in the execution phase of large airport terminal adaptation projects
No full textConstruction Management and EngineeringStructural EngineeringCivil Engineering and Geoscience
Scaled agile maturity model
No full textIn today’s world agile software development has been embraced more and more in software service industry. Though the agile practices have gained widespread popularity in the recent years, there are quite a number of concerns in scaling the agile practices from team level to the entire enterprise. Few frameworks such as Scaled Agile Framework (SAFe, Disciplined Agile Delivery (DAD) and Large Scale Scrum (LeSS) have been developed to address these concerns in scaling agile practices. Although these frameworks provide a template in scaling agile in large enterprises, currently there is a lack of a holistic method which would help them in implementing scaled agile practices or adapting to scaled agile software development. Before or after adopting such a framework, organizations require a structured model for assessing the level of completeness of adoption or find areas of improvements in the scaled agile practices, which would also help them in developing a roadmap for further progress and initiatives. This research offer guidance for the IT organizations towards scaled agile software development by providing a maturity model. This maturity model is composed of six stages as rows and five scaled agile principles in columns, in which each stage and column forms a matrix of scaled agile practices. Each of the practices consists of indicators which help in assessing the level of adoption of the practices. Once having identified the lacking criteria in the adoption of scaled agile practices, organizations can start focusing on the lacking criteria and other areas of improvement. The research also strongly suggests the collaborative spirit in adaptation of scaled agile practices, by using this model as a discussion tool in the team, program and portfolio levels of scaled agile environment. Future research in this arena would aim at researching on the dynamics of emergence on scaled agile practices and the notion of such an emergence on multitude of stakeholders involved in a scaled agile process.Technology, Policy and ManagementSystem engineering policy analysis and managemen
Co-simulation of Demand-side Management and Load Flow Analysis tools in a LV network: Mitigating Over & Under Voltages
No full textThe traditional power grid map has drastically changed with the advent of renewable energy technologies. The intermittent nature of renewable energy sources hours. In order to deal with issues related to the fundamental quantities of a power grid system (frequency, voltage and current), smart grid systems have been introduced to ensure that specific parts of a network are not overused against others. A smart grid system includes a series of communication technologies for every step between the generation and the consumption domains. Different smart grid mechanisms have already been tried and tested within the energy market. In this study, a co-simulation platform for smart grids (ValueFlex) was developed and tested, combining a demand-side management (DSM) tool and a load flow analysis (LFA) tool with the scope of regulating voltage levels in low voltage (LV) networks. The overall goal of the ValueFlex platform is to enable users to manipulate the available flexibility of smart devices in a power system in order to address issues related to its topological characteristics. In this project, a small LV network with households (HH), heat pumps (HP) and cold storage (CS) devices powered by photovoltaic (PV) and combined heat and power (CHP) units is being tested under a series of configuration scenarios. The main conclusion drawn from this study was that a co-simulation platform can assist voltage control currently being done by transformers and generators. In addition, this study focuses on the development of a model within ValueFlex for a CS device with the purpose of using it in simulation scenarios and approximating the functioning of a real-world device in a smart grid system.Electrical Engineering, Mathematics and Computer ScienceElectrical Sustainable Energ
A high-level integrated design for a Central Pickup and Drop-off point for air cargo at Amsterdam Airport Schiphol
No full textSchiphol Cargo has initiated the idea of a central pickup and drop-off point for air cargo to solve the expected future cargo capacity shortages at the airport. This research contains a a design study towards such a central cargo facility. The facility is designed from multiple perspectives. Only the design variables that have a critical influence on the functioning of the facility are taken into account. The research also explains what influence the development of such a facility is expected to have on the performances of the airport.Systems Engineering, Policy Analysis and ManagementSystems EngineeringTechnology, Policy and Managemen
A Distributed Agent-based Approach to Stabilization of Global Resource Utilization (extended abstract)
No full textMulti Actor SystemsTechnology, Policy and Managemen
Facilitating Collaborative Knowledge Workers to Improve Organizational KPIs: Using an Organization’s Process Arrangement to Facilitate Collaborative Knowledge Workers to Improve Organizational KPIs
No full textKnowledge workers are “part of institutions that determine and shape the work that is done” and within such institutions, leadership, working environment, organizational culture and job design should create conditions that facilitate knowledge workers to perform (Megill, 2013; Antikainen et al., 2006.) Essential to the success of a knowledge intensive-organization are not only the knowledge reserves of the workers, but also what an organization is able to do with the latter (Drucker, 1999.) Wall et al. (1992) explain that a worker’s performance is equal to ability * opportunity * motivation, where if one of the factors is equal to zero, performance will be zero. Contrasting to the industrial age, organizational wealth and growth no longer relies on abundant raw materials but on knowledge workers’ performance, which can be the greatest determinant of the worth of their companies (Brocke & Rosemann, 2010.) However, despite the need for attention, knowledge work is yet to have had a researcher in the like of Frederik Taylor or Henry Ford to radically improve knowledge worker performance. Knowledge work is not easily observable or measurable (Matson & Prusak, 2010,) tasks are not fixed, and in contrast to manual work, there are no standard production time where tasks are performed differently among workers. A brain’s performance cannot be measured based on brain cells devoted per tasks, or creativity and there is no direct correlation between units of labor and units of output (Ramírez & Nembhard, 2005.) This means that rather than applying the common theme found in the Taylor- and economic productivity- approach which use universal performance measures to improve performance, knowledge worker performance is considered too difficult to measure, where up to today, there are no well-known universal effective and practical methods to measure knowledge worker productivity (Davenport, 2014; Hammer, et al., 2004; Ramírez & Nembhard , 2004; Davenport et al., 2002; Paradi, et al., 2002; Drucker, 1999.) The challenge in improving knowledge worker performance lies in a necessary shift in management mindset where despite differences to manual workers, knowledge workers “are still being managed with methods that were developed in the industrial age” (Davenport, 1996.) According to Megill (2013) this is the biggest problem who states that one cannot make knowledge using industrial modes of management and production, “it just does not work.” Therefore, more research was required concerning how an organization can create conditions that facilitate knowledge workers to perform.Technology, Policy and ManagementEngineering, Systems and ServicesSystems Engineering, Policy Analysis and Managemen
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