Achim P. Karduck

Market-based prosumer participation in the smart grid

Energy management systems can help to minimize energy costs and reduce CO 2 emissions by making efficient use of renewable energy sources, some of which are naturally fluctuating (such as wind, solar power). At the same time, decentralized combined generation of electricity and heat from fossil fuels such as natural gas could increase CO 2 efficiency. However, decentralized generation and volatility of power supply require integrating the endpoints of power usage more tightly with the operation of distribution grids in order to keep up their stability. Endpoints mus be able to react to requests from the grid and adapt their power consumption or generation. Automated systems for interacting with the grid are necessary for adhering to real-time requirements and to handle the information load. This paper outlines the architecture for such an energy management system and describes an initial study that explores the potential of an office environment as a contributor to the smart grid. Our system is called OMELE: On-premise Metering Enabling Load-shedding and Efficiency.

Conceptual model of risk: towards a risk modeling language

Nowadays organisations are subjects to frequent changes requiring continuous strategic alignment of business processes subject to increasing compliance requirements. We suggest a holistic integration of process management and risk management supporting a robust management of business processes while improving organisations resilience. The integration is based on a conceptual integration of risks and processes through meta-models. This paper is about a unified conceptual model of risk, which is a foundation for defining a semi-formal risk modelling language.

TOWARDS A FRAMEWORK FOR INTEGRATING RISK AND BUSINESS PROCESS MANAGEMENT

Abstract The increasing competition, the changing stakeholders’ expectations and technological innovations challenge enterprises to aim for business agility through process focused thinking. The global performance of business processes is however constrained by unpredicted events, which cause deviations from the expected purpose. By anticipating these probable events, the process management team shall balance cost, risk and performance. This paper is about the possibility to unify risk management and process management in order to provide methods for risk considerations in process management.

Towards an unified architecture for smart home and Ambient Assisted Living solutions: A focus on elderly people

Architectures for smart homes address nearly all requirements for Ambient Assisted Living (AAL). The present paper discusses the missing requirements to support daily life situations of elderly people. Therefore, we introduce metrics to evaluate smart home architectures for AAL. Furthermore, we will elaborate extensions to Persona, the most advanced architecture approach of our investigation. The goal of this research is to present an architecture that meets all requirements including those which were identified as missing or have not been taken into account completely. In addition to that, the authors looked at the scalability of state-of-the-art smart home architectures to provide an architectural design that fits the needs of the mass market as well as large scale implementations.

SMART CAMP: Benefits of Media and Smart Service Convergence

Raw materials for generating energy and producing goods are not always extracted where they are needed, namely in the sphere of man settlement. It is likely that growing numbers of workers are required to work in remote habitats. Being in such rural conditions is a costly, complex and difficult undertaking for both, the companies and their labour force. The Smart Camp project merges several challenges that we face nowadays. It aims to address the high expenses and emissions from off-grid energy generation. Furthermore, finding a work-life balance and dealing with the concomitant everyday problems in a remote area results in human social and psychological issues. This project also aims to use digital convergence technologies and techniques in order to deal with these challenges. This paper reports the status quo of research that has been done in this area and gives and introduction to the project.

Collaborative Process Driven Risk Management for Enterprise Agility

Small-medium enterprises (SMEs) gain their strengths from flexible market orientation, agile value chains and cluster-based innovation capacity. The changing global business environment challenges organizations to aim for agility and performance driven management through process focused thinking. For the future collaboration of SMEs with their partners, the agility aim of the Digital Ecosystem paradigm demands for an explicit risk management and collaboration support. This involves an explicit management of the business process by combining continuous process improvement and process reengineering. However, the outcome of process management effort is risky because of the lack of operational information about the future process. The paper analyzes the possible contribution of risk management to support the management of business processes in order to increase the maturity of organizations. The concept is applied in a process simulation example for furniture production. Collaboration support is provided to allow the real-time sharing and interaction of the parties involved, e.g. in case of deviations from the agreed upon target process.

SIM in light of big data

Network Services are confronted with a growing amount and diversity of attacks. The detection of such intrusion attempts however is getting more complex. This is mainly a result of more sophisticated attacks and a consequence of the more ubiquitous and overall more complex IT ecosystem. The resulting rapidly increasing network traffic makes it extremely hard to detect and prevent attacks in traditional ways. This paper proposes Security Information Management (SIM) enhancements considering Big Data Analysis principles. In the context of Cyber- Security, the blueprint and implementation presented can be adopted in organizations or Smart City contexts. After devising a blueprint for Big Data enhanced SIM based on the latest research, the system architecture and the resulting implementation are presented. The blueprint and implementation have been field- tested in a real world SIM large scale environment and evaluated with real network security logs. Our research is timely, since the application of Big Data principles to SIM environments has been rarely investigated so far, and there exists the need for a general concept of enhancement possibilities.

Risk driven process engineering in digital ecosystems: Modelling risk

Organizations are looking for enhanced agility, which is promoted by enterprise engineering approaches. Since the business environment is becoming more and more unpredictable, business process management as part of enterprise engineering is supposed to tackle value creation challenges but also the ones related to value preservation. The aim for agility and required approaches are an essential requirement for many Digital Ecosystem Domains, such as in The Future of Energy. Here, procurers of energy have to be orchestrated in the Energy Market. Our research emphasizes risk driven business process design. A graphical modelling language for risk driven business process engineering was introduced in former papers. This paper extends the language and handles questions related to modelling risk in an organizational context.

Aspects of the BPRIM Language for Risk Driven Process Engineering

Nowadays organizations are exposed to frequent changes in business environment requiring continuous alignment of business processes on business strategies. This agility requires methods promoted in enterprise engineering approaches. Risk consideration in enterprise engineering is getting important since the business environment is becoming more and more competitive and unpredictable. Business processes are subject to the same quality requirements as material and human resources. Thus, process management is supposed to tackle value creation challenges but also the ones related to value preservation. Our research considers risk driven business process design as an integral part of enterprise engineering. A graphical modelling language for risk driven business process engineering was introduced in former research. This paper extends the language and handles questions related to modelling risk in organisational context.

Business Process and Risk Models Enrichment: Considerations for Business Intelligence

Business intelligence (BI) as a paradigm with methods and tools substantially improves decisions with regard to business evolutions. Through the emerging business process management approaches, it becomes possible to link BI-tools with the underlying process models. This paper explains how process models can be enriched with risk models in the context of business intelligence.