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This market research paper has been prepared under the supervision of Prof. Dr. Wolfgang Veit of TH Köln and Prof. Dr. Carol Scovotti of University of Wisconsin-Whitewater in the course of the inter-university cross-border collaboration student research project “Export Opportunity Surveys (EOS)”. This study explores organic black tea export opportunities to the German and US markets.
Intelligent use of energy is one of the keys to success for an energy revolution. To meet this challenge, smart meters are suitable tools because INTELLIGENT use of energy means not only to use efficiency technology, but also to determine load shifting potentials and use them accordingly. Especially farms with high power consumption are becoming increasingly concerned about reducing energy costs due to rising energy prices and need a systematic analysis of their operational energy flow. To find solutions for farms, the NaRoTec e.V., the TH Köln, and the Machinery Ring Höxter-Warburg have joined forces with partners and launched the project "Intelligent Energy in Agriculture", which is funded by the state of NRW in Germany. The aim of the project is to be able to give individual advice recommendations for energy optimization of agricultural holdings. This will be achieved inter alia through an operational energy audit and current measurements in different operating ranges. To achieve this, smart meters were installed in selected energy-intensive dairy and pig farms.
As part of the project, the installed smart meter information of one of the dairy Farms is used to optimize the energy consumption of the farm and increase the degree of self-sufficiency. A good way to achieve this is by taking a closer look at the cooling process of the produced milk since it is one of the most energy consuming processes on a dairy farm. In addition an installation of an ice cooling system instead of a direct cooling system enables the possibility to store self-produced energy in the form of ice and use it later on when it is needed to cool the milk. This flattens the usual energy peaks throughout the day and increases the degree of self-sufficiency. To ensure a sufficient amount of self-produced energy with solar power plants of various sizes were designed. The different sizes of the power plants are defined by the use of the gathered smart meter data is used to cover different electric loads in addition to the ice water cooling system. Afterwards the different simulated models are compared to find the best balance between energy production, investment cost and a high degree of self-sufficiency. First results show that using an ice cooling system in combination with a solar power plant improvement the degree of self-sufficiency by up to 7.8 %.
Machbarkeitsanalyse über den Aufbau eines Enterprise Data Warehouse auf Basis von Apache Hadoop
(2016)
Die vorliegende Masterthesis liefert eine Einführung in die Themen Data Warehouse, Big Data und Apache Hadoop. Sie präsentiert grundlegende Data-Warehouse-Kon-zepte und überprüft, inwieweit diese mit dem Apache Hadoop Software Framework zu realisieren sind. Hierbei wird sowohl eine technische Überprüfung vorgenommen als auch verschiedene Szenarien veranschaulicht, wie Hadoop inhaltlich sinnvoll in bestehende Systeme integriert werden kann. Inhaltlich wird über das Thema Big Data an die Notwendigkeit einer solchen Überprüfung herangeführt.
Intelligent use of energy is one of the keys to success for an energy revolution. To meet this challenge, smart meters are suitable tools because INTELLIGENT use of energy means not only to use efficiency technology, but also to determine load shifting potentials and use them accordingly. Especially farms with high power consumption are becoming increasingly concerned about reducing energy costs due to rising energy prices and need a systematic analysis of their operational energy flow. To find solutions for farms, the NaRoTec e.V., the TH Köln, and the Machinery Ring Höxter-Warburg have joined forces with partners and launched the project "Intelligent Energy in Agriculture", which is funded by the state of NRW. The aim of the project is to be able to give individual advice recommendations for energy optimization of agricultural holdings. This will be achieved inter alia through an operational energy audit and current measurements in different operating ranges. To achieve this, smart meters were installed in selected energy-intensive dairy and pig farms. As part of the project, the installed smart meter information about the consumption of various plants and their components were analyzed, regularities and adaptability in loading history identified, and the energy efficiency of the equipment and systems used verified (especially pumps, ventilators, feeding systems). Then recommendations were formulated to shift electricity-intensive processes to times with low electricity costs and high intrinsic power production. The resulting findings will be used as the basis for intelligent energy management in the further course of the project. Overall, efficiency streamlining measures in the field of ventilation and lighting systems, flexible dry feeding systems by decoupling power purchase and consumption, as well as energy savings and related CO2 savings were determined.
The rising worldwide energy demand leads to the depletion of fossil fuels reserves and at the same time, it increases the environmental impact caused by emissions of greenhouse gases (GHG).
Utilization of fossil fuels causes not only climate change impacts such as global warming, but also many other environmental problems such as water and soil contamination that pose potential risks to human and animal health.
Furthermore, increasing population growth leads to increased food demand and consumption. This upward trend creates competition between food and bioenergy markets. Hence, the so‐called “food or fuel” discussion is back.
Challenges to counteract deciding between food and fuel that focus on the need to produce sustainable energy, while protecting environment, are the keys to replacing fossil fuels and lowering their greenhouse gas emissions. For this purpose, a completely new strategy with a proper sustainable system to supplying world’s energy demand must be found.
The goal of the ComProSol project is the mobilization of currently unused biogenic contingents such as residual and waste material for bioenergy feedstocks. Another budding option is the reactivation of fallow land to grow energy crops and short rotation coppice for energy recovery.
In the course of Germany’s bioeconomy program, which will switch the economy from a petro-based to a bio-based society, the prioritized utilization of bio-based resources should always be the hierarchically most valuable. Food and forage production are given preference over material recycling and extracting raw materials. Another driver is the growing consciousness of environmental issues and nature conservation which limits the available cultivatable area by law. As a result, there is a supply bottleneck of economically competitive feedstock for bioenergy. In this context, the interdisciplinary project is based on the systematic interconnection of applications to create utilization cascades.
Methodical corrective measures of ComProSol focus on influencing fuel properties by preconditioning through substrate and additive compound blending, sieving and compacting, and integrating process optimization. Collaboration with other subprojects that deal with bio- or thermal-chemical conversion will provide additional impetus for developing utilization applications.
The initial work package of ComProSol, which recently started, defines the scope by dint of a regional potential feedstock cadaster in order to specify the further roadmap.
Das Ziel der vorliegenden Bachelorarbeit war es, das In-Memory-Konzept innerhalb einer Oracle Datenbank auf neue Mechanismen, Funktionen und Methoden zu untersuchen. Dazu wurde eine Datenbank erstellt und mit Beispieldaten bestückt. Diese Beispieldaten sind Aktienwerte der DAX-30 Unternehmen, welche durch eine Reihe von Indikatoren aus der technischen Analyse eine komplexe Möglichkeit der Analyse bieten. Die Ergebnisse bestätigen, dass das In-Memory-Konzept neben dem bekannten Spaltenformat eine Reihe von Techniken und Funktionen bietet, welche sich positiv bei der Verarbeitung von Daten durch Data Query Language-Befehle auswirken. Es kommen auch Nachteile, wie der flüchtige Speicher zum Vorschein, dennoch überwiegen die Vorteile stark. Nach einer Reihe von Tests wird deutlich, dass Objekte, die in den In-Memory-Column-Store geladen werden, nur 30 % der Zeit benötigen, um gelesen zu werden. Dies ist für die Verarbeitung von großen und komplexen Daten eine deutliche Verbesserung. Die Bachelorarbeit richtet sich an Studierende der Fachbereiche Informatik und BWL sowie an Interessierte im Bereich Datenbanken.
Der digitale Schwarzmarkt mit gestohlenen Daten floriert. Alleine im Jahr 2015 wurden über eine halbe Milliarde Datensätze aus Datenbanksystemen entwendet. Viele Unternehmen bemerken den Sicherheitsvorfall selbst nicht oder geben aus Angst vor einem Imageschaden den Vorfall nicht bekannt. Sind die Datenbestände nicht durch effektive Sicherheitsmechanismen vor Datendiebstahl geschützt, können Cyberkriminelle leicht aus den gestohlenen Daten Kapital schlagen. Die Softwarehersteller von Datenbanksystemen bieten für ihre Produkte unterschiedliche Schutzvorkehrungen an. Ziel dieser Ausarbeitung ist es, die Bedrohungen und die Sicherheitsrisiken von Datenbanksystemen aufzuzeigen und daraus die Aspekte der Datenbanksicherheit abzuleiten. Die ausgearbeiteten Sicherheitsaspekte bilden die Grundlage für den Vergleich der Datenbanksicherheit von relationalen Datenbanklösungen. Die anschließende Bewertung dient dem Nachweis und der Überprüfbarkeit der Datenbanksicherheit relationaler Datenbanksysteme.
Der erste Teil dieser Arbeit gibt einen Überblick über die Themenfelder der modellgetriebenen Softwareentwicklung und der objektrelationalen Abbildung. Durch eine Kombination dieser beiden Themen wird schließlich der Begriff der modellgetriebenen O/R-Mapping-Frameworks definiert und näher erläutert. Im zweiten Teil bestätigt ein Vergleich von drei dieser Frameworks (Bold for Delphi, MDriven sowie Texo mit EclipseLink) die Vor- und Nachteile des modellgetriebenen Ansatzes auch in Bezug auf die Persistenz. Der Vergleich macht außerdem deutlich, was aktuell in der Praxis möglich ist (und was nicht) und in welchem Umfang Standards genutzt werden (insbesondere MDA und UML). Daneben werden auch die Schwächen in diesem Bereich aufgezeigt. Abschließend gibt es eine kurze Bewertung der Frameworks, auch im Hinblick auf mögliche Anwendungsszenarien.