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Due to the progresses in exhaust emission after-treatment systems and in the development of new combustion processes, the S.I. engine has been booming in the past few years. But the efficiency will have to be improved in the future. Because of its thermodynamic benefits, the S.I. direct injection engine of the second generation — so called air guided system — shows the highest potential for gasoline engines to reduce fuel consumption. However, there are restrictions when using conventional spark ignition system. They concern the optimum position of ignition initialization and spark-plug wear, the latter being caused by inhomogeneous mixture distribution. The laser-induced ignition enables a flexible choice of the ignition location and a wear resistant initialization of the combustion process. The most crucial component here is the optics (the combustion-chamber window), through which the laser beam passes into the combustion chamber. In this paper, laser-induced ignition is discussed and its potential compared to a conventional ignition system is presented. In addition, several optic configurations are presented as well as tests regarding the minimum required laser energy and the optic contamination and self-cleaning effect of the optics. At the Institute of Internal Combustion Engines at the Vienna University of Technology the optic contamination and self-cleaning effect, which is crucial for a long-term operation, was tested on a two-cylinder research engine.

Energy efficiency is an objective of public interventions at least since the Public Utility Regulatory Policy Act of 1978 (PURPA). Recently, conservation has received considerable attention in the United States and in particular in the European Union but this time in order to mitigate global warming. Policy measures include regulations at the technical level and the introduction of white certificates in order to force utilities and firms to invest into conservation in a way similar to the already existing renewable energy quota. This paper derives the optimal mechanism if utilities must deal with white certificates facing consumers holding private information. The optimal mechanism has some theoretically interesting features like restricted participation and a discontinuity.

The presented Report forms Deliverable D6.2 resulted from the realization of Workpackage WP.6.3 titled “Overview of market drivers, fiscal measures and subsidies” in frame of the EU-Project “Geothermal communities – demonstrating the cascaded use of geothermal energy for district heating with small scale RES integration and retrofitting measures” (GEOCOM). The following seven countries were covered by WP6.3 works and this Deliverable D6.2: o Macedonia, o Hungary, o Italy, o Poland, o Romania, o Serbia, o Slovakia. The work was done with the contribution of all GEOCOM Project Partner teams and appointed experts, coordinated, interpreted and summarized by the Mineral and Energy Economy Research Institute of PAS team, WP6 leader. FP7

Abstract The dynamics of isolated-photon plus two-jet production in pp collisions at a centre-of-mass energy of 13 TeV are studied with the ATLAS detector at the LHC using a dataset corresponding to an integrated luminosity of 36.1 fb−1. Cross sections are measured as functions of a variety of observables, including angular correlations and invariant masses of the objects in the final state, γ + jet + jet. Measurements are also performed in phase-space regions enriched in each of the two underlying physical mechanisms, namely direct and fragmentation processes. The measurements cover the range of photon (jet) transverse momenta from 150 GeV (100 GeV) to 2 TeV. The tree-level plus parton-shower predictions from Sherpa and Pythia as well as the next-to-leading-order QCD predictions from Sherpa are compared with the measurements. The next-to-leading-order QCD predictions describe the data adequately in shape and normalisation except for regions of phase space such as those with high values of the invariant mass or rapidity separation of the two jets, where the predictions overestimate the data.