On interactions of optimal climate policy and international trade. An assessment of border carbon measures.

Not only after the failure of the Copenhagen climate conference 2009, border carbon adjustment (BCA) has received growing attention in the climate policy debate as a measure to combat "carbon leakage" and force non-abating countries to tighter climate policies. In this paper, we study the strategic interactions between international trade and climate policy with a focus on the effectiveness of border measures. First, we analyze the main principles of unilateral climate policy with international trade in a small analytical model. Second, we examine welfare effects of WTO compatible carbon import tariffs in a stylized numerical integrated assessment model with explicit trade in commodities and analyze if BCA is a credible threat to force non-abating countries to implement stricter climate policies. We show that the terms of trade effects can, depending on trade patterns, ease or boost the prisoners dilemma of mitigating greenhouse gases. We further demonstrate that WTO conform BCA increases the effectiveness of climate policy and forces trading partners to reduce emissions. But as the results of the numerical model illustrate, welfare effects are depended on trade flows and are negative for realistic parameter values

On interactions of optimal climate policy and international trade. An assessment of border carbon measures.

Not only after the failure of the Copenhagen climate conference 2009, border carbon adjustment (BCA) has received growing attention in the climate policy debate as a measure to combat "carbon leakage" and force non-abating countries to tighter climate policies. In this paper, we study the strategic interactions between international trade and climate policy with a focus on the effectiveness of border measures. First, we analyze the main principles of unilateral climate policy with international trade in a small analytical model. Second, we examine welfare effects of WTO compatible carbon import tariffs in a stylized numerical integrated assessment model with explicit trade in commodities and analyze if BCA is a credible threat to force non-abating countries to implement stricter climate policies. We show that the terms of trade effects can, depending on trade patterns, ease or boost the prisoners dilemma of mitigating greenhouse gases. We further demonstrate that WTO conform BCA increases the effectiveness of climate policy and forces trading partners to reduce emissions. But as the results of the numerical model illustrate, welfare effects are depended on trade flows and are negative for realistic parameter values

Power estimation of an ECDSA core applied in V2X scenarios using heterogeneous distributed simulation

Embedded systems are steadily growing in complexity and nowadays power consumption additionally plays an important role. Designing and exploring such systems embedded in its environment demand for holistic and efficient simulations. In this work we use a simulation framework based on the HLA (High-Level Architecture) and the modeling tool Ptolemy II to enable complex heterogeneous distributed simulations of embedded systems. In this context, we introduce a co-simulation based power estimation approach by integrating domain-specific simulators as well as off-the-shelf HDL simulator and synthesis tools. This enables cross-domain interaction and generation of realistic on-the-fly stimuli data for Register Transfer Level and Gate Level models as well as the gathering of power estimation data. We apply the framework to a Vehicle-2-X scenario evaluating an ECDSA signature processing core which ensures trustworthiness in vehicular wireless networks. To evaluate dynamic power reduction possibilities on application level we additionally introduce a V2X Message Evaluation technique to reduce signature verification efforts. It shows how realistic on-the-fly stimuli data obtained by the framework can improve the exploration and estimation of dynamic power consumption

Reliability-based approach to the robustness of corroded reinforced concrete structures

Currently, decisions on the maintenance and repair of infrastructural assets, structures in particular, are mostly based on the results of inspections and the resulting condition index, neglecting system robustness and therefore not making optimal use of the limited funds available. This paper presents a definition and a measure of structural robustness in the context of deteriorating structures which are compatible with asset management systems for optimal maintenance and repair planning. The proposed index is used to define the robustness of existing reinforced concrete (RC) structures to rebar corrosion. Structural performance and the corresponding reliability index are assessed using combined advanced reliability and structural analysis techniques. Structural analysis explicitly includes deterioration mechanisms resulting from corrosion, such as reinforcement area reduction, concrete cracking, and bond deterioration. The first-order reliability method, combined with a response surface algorithm, is used to compute the reliability index for a wide range of different corrosion levels, resulting in a fragility curve. Finally, structural robustness is computed and discussed based on the results obtained. A robustness comparison of different structures can then be used to determine structural types more tolerant to corrosion and these results used for planning maintenance and repairs

A V2X Message Evaluation Methodology and Cross-Domain Modelling of Safety Applications in V2X-enabled E/E-Architectures

The introduction of Vehicular Ad-Hoc Networks (VANETs) enables great potential for improving road trafic ow and especially active safety applications such as cooperative adaptive cruise control (CACC). Such applications not only rely on continuous broadcast of vehicle state information (beacons) of all vehicles, but also have strict real-time requirements. Regarding automotive E/E architectures this continuous broadcasting adds heavy internal E/E data trafic that needs to be processed in real-time by Electronic Control Units (ECUs). In this work we address this issue by proposing a novel cluster-based message evaluation methodology to significantly reduce internal E/E network trafic by discarding irrelevant messages. The approach is only depending on information received over beacons. It combines a vehicle clustering strategy as well as network and vehicle state monitoring capabilities in order to correctly evaluate messages under real-time constraints. The proposed methodology is modeled inside an abstract ECU. It is evaluated by simulating a model-based CACC application under different trafic scenarios. It is shown that a significant reduction of messages is achievable, while still guaranteeing accident-free behavior of CACC

Border adjustment measures as instruments to reduce emissions leakage

We analyze carbon-related BAMs (focused on imports) as potential instruments to reduce emissions leakage. We combine an approach from international trade law with an economic approach. For the legal aspect we discuss the elements needed to include carbon-related BAMs within the current GATT and WTO frameworks. For the economic aspect, we assess the effects of leakage and of BAMs to tackle it within an optimal climate policy model and a general equilibrium model. We find that the design and implementation of these BAMs would be difficult to bring in compliance with current international trade law and it may entail high transaction costs. Moreover, we observe that the severity of leakage may be amplified by international trade and that BAMs help in reducing it. Finally, we find that welfare effects of introducing carbon-related BAMs are ambiguous and thus they may not represent a credible threat to involve other actors in the international climate regime