THE IMPORTANCE OF THE INFORMATICS SYSTEM FOR THE DURABLE DEVELOPMENT

One of the fields whose importance has been surging lately is the durable development, which is impossible to achieve unless humankind gives up gradually to the fossil energy sources and switches to the exploitation of the renewable energy sources. This shift is mainly due to the fact that the traditional energy sources are limited, pricier and pricier and have a negative and irreversible effect upon the environment.In the durable development area, particularly the renewable energies, there are informatics systems used in a wide range of activities, from investments management and energy sources to the operation itself of their exploitation systems. Such informatics systems may be integrated at a higher level, as the national weather forecast system or other specific systems.informatics system; renewable energies; durable development; use of the renewable energies

Educating the energy informatics specialist: opportunities and challenges in light of research and industrial trends

Contemporary energy research is becoming more interdisciplinary through the involvement of technical, economic, and social aspects that must be addressed simultaneously. Within such interdisciplinary energy research, the novel domain of energy informatics plays an important role, as it involves different disciplines addressing the socio-techno-economic challenges of sustainable energy and power systems in a holistic manner. The objective of this paper is to draw an overview of the novel domain of energy informatics by addressing the educational opportunities as well as related challenges in light of current trends and the future direction of research and industrial innovation. In this study we discuss the energy informatics domain in a way that goes beyond a purely scientific research perspective. This paper widens the analyses by including reflections on current and future didactic approaches with industrial innovation and research as a background. This paper provides key recommendations for the content of a foundational introductory energy informatics course, as well as suggestions on distinguishing features to be addressed through more specialized courses in the field. The importance of this work is based on the need for better guidelines for a more appropriate education of a new generation of experts who can take on the novel interdisciplinary challenges present in future integrated, sustainable energy systems

Energy Efficient Adaptive Network Coding Schemes for Satellite Communications

In this paper, we propose novel energy efficient adaptive network coding and modulation schemes for time variant channels. We evaluate such schemes under a realistic channel model for open area environments and Geostationary Earth Orbit (GEO) satellites. Compared to non-adaptive network coding and adaptive rate efficient network-coded schemes for time variant channels, we show that our proposed schemes, through physical layer awareness can be designed to transmit only if a target quality of service (QoS) is achieved. As a result, such schemes can provide remarkable energy savings.Comment: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 24 March 201

Energy Informatics and Business Model Generation

Sustainability needs to be tightly woven into the thinking of every senior executive if we are to develop a sustainable society. Furthermore, those companies seek to gain from meeting the needs of such a society need to forefront sustainability in all of their planning and product development. With this in mind, we have taken the business model generation canvas and developed a layer to stimulate Energy Informatics thinking. Business model generation is a technique to capture the essential features of an organization\u27s business. It addresses such issues as value proposition, sources of costs and revenues, partnerships, and customers in a concise and graphical manner. Osterwalder and Pigneur\u27s book has quickly become an international best seller because the technique is powerful and collectively engaging. We have taken the business model generation canvas and created a group collaborative version on Cacoo, which is web-based software for creating diagrams collaboratively. One of the features of Cacoo is the ability to create layers, so we have augmented our initial two-layer model of a blank canvas and key questions, with a layer containing questions to provoke Energy Informatics thinking and a layer containing examples of the application of Energy Informatics. Our goal is to use the workshop to discuss the content of each of these layers. Specifically, we would like participants to address the following questions: Do we have good questions for each segment of the canvas? Should there be several canvases for different audiences? What are some good Energy Informatics examples to stimulate thinking? The resulting canvas will be made publicly available to advance the development of Green IS

Advances in Environmental Informatics: Integration of Discrete Event Simulation Methodology with ecological Material Flow Analysis for Modelling eco-efficient Systems

AbstractIn the first section we provide a short review of the rather young field of Environmental Informatics. We argue that Environmental Informatics methods and tools are powerful means in environmental information processing for supporting environmental protection and sustainable development. In the second part we introduce an integrated approach for modeling ecoefficient systems such as complex production systems under an economic as well as an ecological view. This modeling approach allows for the implementation of a combined model representing material and energy flows and bottle necks in machine capacities at the same time (instead of using two different models with different software tools). Finally present a case study from a real waver production site as a proof of concept for this substantial contribution to Environmental Informatics

Facilitating Knowledge Sharing and Analysis in EnergyInformatics with the Ontology for Energy Investigations (OEI)

Just as the other informatics-related domains (e.g., Bioinformatics) have discovered in recent years, the ever-growing domain of Energy Informatics (EI) can benefit from the use of ontologies, formalized, domain-specific taxonomies or vocabularies that are shared by a community of users. In this paper, an overview of the Ontology for Energy Investigations (OEI), an ontology that extends a subset of the well-conceived and heavily-researched Ontology for Biomedical Investigations (OBI), is provided as well as a motivating example demonstrating how the use of a formal ontology for the EI domain can facilitate correct and consistent knowledge sharing and the multi-level analysis of its data and scientific investigations

Towards a Cloud Infrastructure for Energy Informatics

The development of cloud computing has achieved the goal of computing as a service, abstracting the resource as a cloud. This service has extended to include not only computation but its associated storage and communication components as well. The smart grid hopes to integrate the dynamics of distributed generation and demand. If the computational requirements of these demands are as dynamic as the phenomena they seek to control, then the cloud computing model provides an appropriately flexible platform for smart grid computing. This paper evaluates the Cloud for Energy Informatics (CEI), a computational-control abstraction that provides flexible and efficient computational resources on-demand as defined by the smart grid. We focus on how the CEI addresses performance and efficiency measures of smart grid related computation such as latency, bandwidth, storage and compute cycles. We compare CEI with traditional approaches using simulation to quantify the resource savings, efficiency and reliability gains from switching to a CEI model