Dairy farming across Germany displays diverse production systems. Factor endowment, management, technology adoption as well as competitive dynamics in the local or regional land, agribusiness and dairy processing sectors contribute to this differentiation on farm level. These differences impact on the ability of dairy farms and regional dairy production systems to successfully respond to pressures arising from future market and policy changes. The overall objective of the research activities of which this project is a part of, is to develop a thorough understanding of the processes that govern the spatial dynamics of dairy farm development in different regions in Germany. The central hypothesis of this research project is that management system and technological choices differ systematically across local production and market conditions. The empirical approach will focus on the estimation of farm specific nonparametric cost functions for dairy farms located in across Germany differentiated by time and location. A spatially differentiated data base with information on input use, resource availability, as well as local market conditions for land and output markets will be compiled. The nonparametric approach is specifically suited to disclose a more accurate representation of dairy production system heterogeneity across locations and time compared to parametric concepts as it provides the necessary flexibility to accommodate non-linearities relevant for a wide domain of explanatory variables. The methodology employed goes beyond the state of the art of the literature as it combines kernel density estimation with a Bayesian sampling approach to provide theory consistent parameters for each farm in the data sample.The specific methodological hypothesis is that the nonparametric approach is superior to current parametric techniques and this hypothesis is tested using statistical model evaluation. Regarding the farm management and technological choices, we hypothesize that land suitability for feed production determines the farm intensity of dairy production and thus management and technological choices. With respect to the ability of farms to successfully respond to market pressures we hypothesize that farms at the upper and lower tail of the intensity distribution both can generate positive returns from dairy production. These last two hypotheses will be tested using the estimated spatially differentiated farm specific costs and marginal costs.The expected outcomes are of relevance for the agricultural sector and the food supply chain economy as a whole as fundamental market structure changes in the dairy sector are ongoing due to the abolition of the quota regulation in the years 2014/2015. Thus, exact knowledge about differences and development of dairy cost heterogeneity of farms within and between regions are an important factor for the actors involved in the market as well as the political support of this process.
Deviant behaviour on various levels of the food supply chain may cause food risks. It entails irregular technological procedures which cause (increased probabilities of) adverse outcomes for buyers and consumers. Besides technological hazards and hitherto unknown health threats, moral hazard and malpractice in food businesses represent an additional source of risk which can be termed 'behavioural food risk'. From a regulatory perspective, adverse outcomes associated with deviance represent negative externalities that are caused by the breaking of rules designed to prevent them. From a rational choice perspective, the probability of malpractice increases with the benefits for its authors. It decreases with the probability of detection and resulting losses. It also decreases with bonds to social norms that protect producers from yielding to economic temptations. The design of mechanisms that reduce behavioural risks and prevent malpractice requires an understanding of why food businesses obey or do not obey the rules. This project aims to contribute to a better understanding of malpractice on the restaurant/retail level through comparative case studies and statistical analyses of food inspection and survey data. Accounting for the complexity of economic behaviour, we will not only look at economic incentives but consider all relevant behavioural determinants, including social context factors.
Farm structures are often characterized by regional heterogeneity, agglomeration effects, sub-optimal farm sizes and income disparities. The main objective of this study is to analyze whether this is a result of path dependent structural change, what the determinants of path dependence are, and how it may be overcome. The focus is on the German dairy sector which has been highly regulated and subsidized in the past and faces severe structural deficits. The future of this sector in the process of an ongoing liberalization will be analyzed by applying theoretical concepts of path dependence and path breaking. In these regards, key issues are the actual situation, technological and market trends as well as agricultural policies. The methodology will be based on a participative use of the agent-based model AgriPoliS and participatory laboratory experiments. On the one hand, AgriPoliS will be tested as a tool for stakeholder oriented analysis of mechanisms, trends and policy effects. This part aims to analyze whether and how path dependence of structural change can be overcome on a sector level. In a second part, AgriPoliS will be extended such that human players (farmers, students) can take over the role of agents in the model. This part aims to compare human agents with computer agents in order to overcome single farm path dependence.
To overcome the limitation in spatial and temporal resolution of methane oceanic measurements, sensors are needed that can autonomously detect CH4-concentrations over longer periods of time. The proposed project is aimed at:- Designing molecular receptors for methane recognition (cryptophane-A and -111) and synthesizing new compounds allowing their introduction in polymeric structure (Task 1; LC, France); - Adapting, calibrating and validating the 2 available optical technologies, one of which serves as the reference sensor, for the in-situ detection and measurements of CH4 in the marine environments (Task 2 and 3; GET, LAAS-OSE, IOW) Boulart et al. (2008) showed that a polymeric filmchanges its bulk refractive index when methane docks on to cryptophane-A supra-molecules that are mixed in to the polymeric film. It is the occurrence of methane in solution, which changes either the refractive index measured with high resolution Surface Plasmon Resonance (SPR; Chinowsky et al., 2003; Boulart et al, 2012b) or the transmitted power measured with differential fiber-optic refractometer (Boulart et al., 2012a; Aouba et al., 2012).- Using the developed sensors for the study of the CH4 cycle in relevant oceanic environment (the GODESS station in the Baltic Sea, Task 4 and 5; IOW, GET); GODESS registers a number of parameters with high temporal and vertical resolution by conducting up to 200 vertical profiles over 3 months deployment with a profiling platform hosting the sensor suite. - Quantifying methane fluxes to the atmosphere (Task 6); clearly, the current project, which aims at developing in-situ aqueous gas sensors, provides the technological tool to achieve the implementation of ocean observatories for CH4. The aim is to bring the fiber-optic methane sensor on the TRL (Technology Readiness Level) from their current Level 3 (Analytical and laboratory studies to validate analytical predictions) - to the Levels 5 and 6 (Component and/or basic sub-system technology validation in relevant sensing environments) and compare it to the SPR methane sensor, taken as the reference sensor (current TRL 5). This would lead to potential patent applications before further tests and commercialization. This will be achieved by the ensemble competences and contributions from the proposed consortium in this project.
Objective: Water is one of our most precious and valuable resources. It is important to determine how to fairly use, protect and preserve water. New strategies and new technologies are needed to assess the chemical and ecological status of water bodies and to improve the water quality and quantity. The relatively recent progress in micro-electronics and micro-fabrication technologies has allowed a miniaturization of sensors and devices, opening a series of new exciting possibilities for water monitoring. Moreover, robotics and advanced ICTbased technology can dramatically improve detection and prediction of risk/crisis situations, providing new tools for the global management of the water resources. The HydroNet proposal is aimed at designing, developing and testing a new technological platform for improving the monitoring of water bodies based on a network of autonomous, floating and sensorised mini-robots, embedded in an Ambient Intelligence infrastructure. Chemo- and bio-sensors, embedded in the mobile robots will be developed and used for monitoring in real time physical parameters and pollutants in water bodies. Enhanced mathematical models will be developed for simulating the pollutants transport and processes in rivers, lakes and sea. The unmanaged, self-assembling and self-powered wireless infrastructure, with an ever-decreasing cost per unit, will really support decisional bodies and system integrators in managing water bodies resources. The robots and sensors will be part of an Ambient Intelligence platform, which will integrate not only sensors for water monitoring and robot tasks execution, but also communications backhaul systems, databases technologies, knowledge discovery in databases (KDD) processes for extracting and increasing knowledge on water management. Following the computation on stored data, feedback will be sent back to human actors (supervisors, decision makers, industrial people, etc.) and/or artificial actuators, in order to perform actions.
Das Bundesministerium Umwelt, Naturschutz und Reaktorsicherheit (BMU) fördert mit dem Breitentest '250 MW Wind' die Einführung der Windenergienutzung in Deutschland. Zur Gewinnung statistisch relevanter Erfahrungswerte aus dem praktischen Einsatz von Windenergieanlagen (WEA) wurde das Institut für Solare Energieversorgungstechnik e. V. (ISET), Kassel, mit der begleitenden Durchführung des 'Wissenschaftlichen Mess- und Evaluierungsprogramms' (WMEP) beauftragt. Im Rahmen dieses Programms werden von allen geförderten WEA für einen Zeitraum von zehn Jahren ausgewählte Betriebsdaten und -ergebnisse erfasst und ausgewertet. Der vorliegende Abschlussbericht beschreibt die Ergebnisse der 4. Durchführungsphase (01.07.2000 -30.06.2004) des WMEP in vier Jahresberichten und einer Zusammenfassung der wichtigsten Arbeitsschwerpunkte. Die regelmäßige Auswertung des WMEP zur Entwicklung der Windenergienutzung, der 'Windenergie Report Deutschland', ist eine der wichtigsten Publikationen zum Leistungsstand der Windenergietechnik in Deutschland, zumal verlässliche Betriebsdaten zum Langzeitverhalten von WEA anderweitig in vergleichbarer Form kaum bereitgestellt werden können. Überdies werden die Entwicklungstendenzen schnell und jederzeit aktuell im WMEP-Informationssystem REISI im Internet (http://reisi.iset.unikassel.de) präsentiert.
This study has to be understood in the frame of the global Energy Policy. A great part of world energy production is currently based on non-renewable sources: oil, gas and coal. Global warming and restricted fossil energy sources force a strong demand for another climate compatible energy supply. Therefore, fossil energy sources will nearly disappear until the end of this century. The question is to find a viable replacement. By using viable' it is meant a low-cost and environmental friendly energy. In other words, the question is to find an alternative to nuclear energy among all proposed but still not mature renewable energies. One of the solutions proposed is solar energy. Yet, two major concerns slow down its development as an alternative: first, it lacks of technological maturity and secondly it suffers from alternating supply during days and nights, winters and summers. The idea proposed by Glaser in the sixties to bypass this inconvenient is to take the energy at the source (or at least, as near as possible): in other words, to put a solar station on orbit that captures the energy without problems of climatic conditions and to redirect it through a beam to the ground. That is the concept of Solar Power Satellites. Its principal feasibility was shown by DOE / NASA in 1970 years studies (5 GW SPS in GEO). Project objectives: This phase 1 study activity is to be seen as the initial step of a series of investigations on the viability of power generation in space facing towards an European strategy on renewable, CO2 free energy generation, including a technology development roadmap pacing the way to establish in a step-wise approach on energy generation capabilities in space. The entire activity has to be embedded in an international network of competent, experienced partners. As part of this, an interrelationship to and incorporation of activities targeting the aims of the EU 6th FP ESSPERANS should be maintained. In particular, the activities related to following objectives are described: The generation of scientifically sound and objective results on terrestrial CO2 emission free power generation solutions in comparison with state-of-the-art space based solar power solutions The detailed comparison and trades between the terrestrial and the space based solutions in terms of cost, reliability and risk The identification of possible synergies between ground and space based power generation solutions The assessment on terrestrial energy storage needs by combining ground based with space based energy generation solutions The investigation of the viability of concepts in terms of energy balance of the complete systems and payback times.
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