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A vehicle simulation model, CO 2 MPAS supports the introduction of the new WLTP-based certification system for CO 2 emissions in Europe. This paper investigates the possibility to use the underlying simulation methodology to accurately calculate CO 2 emissions over real-world trips, thus to extend the use of the methodology beyond vehicle certification. As a reference, the analysis used measurement data obtained from four vehicles over two different routes under real-world driving conditions. The CO 2 emissions were measured using portable emissions measurement systems. The formal CO 2 MPAS methodology and two modified versions of it that require a reduced number of input data were assessed about their capacity to predict the measured CO 2 emissions. The analysis focused on the accuracy and uncertainty of the three different methodology configurations. As an additional benchmark, the analysis considered the CO 2 emissions estimates obtained from the EMEP/EEA Guidebook methodology used for emissions inventorying in Europe. Results show that the basic CO 2 MPAS configuration demonstrates good performance in predicting CO 2 emissions over on-road tests, reaching a prediction accuracy over an entire test trip of −0,3% and a standard deviation of 3,1%. The modified versions showed slightly higher biases up to 3% and uncertainties (5–7%), but remaining within reasonable limits considering the reduced number of inputs used in each case. Given its ability to predict CO 2 emissions accurately on a local base, CO 2 MPAS could be used for the prediction of instantaneous CO 2 emissions in traffic micro-simulation exercises. [ABSTRACT FROM AUTHOR]

This paper delves into an econometric analysis to uncover the differences between Nordic European Countries - NEC (Norway, Denmark, Finland, Sweden) and South-East European Countries - SEEC (Greece, Bulgaria, Romania, Hungary). The focus is on exploring the interplay among electricity generation from Renewable Energy Sources (RES), CO 2 emissions, urban population and GDP per capita in these two European regions. The study employs cross-sectional dependence, first and second-generation panel unit root tests, Pedroni panel and Westerlund panel cointegration tests, ARDL, Dumitrescu-Hurlin causality test to establish the relation among variables. The findings reveal that in both regions, CO 2 emissions are significantly influenced by GDP per capita, urbanization and RES generation. Furthermore, urbanization plays an important role. When examining causality in SEEC, three bidirectional relationships are observed: urbanization and CO 2 , urbanization and GDP, urbanization and generation from RES, and two unidirectional causalities: CO 2 and GDP, generation from RES and CO 2. In contrast, for the NEC, there are two bidirectional causalities: urbanization and CO 2 , urbanization and generation from RES, and two unidirectional causalities: GDP and CO 2 , generation from RES and CO 2. These results highlight the nuanced and varied nature of environmental and economic dynamics across various European regions. • Relationship between CO 2 emissions, GDP per capita and electricity production from RES. • Investigating two groups of EU countries located in the North and SE Europe. • Estimations with Fully Modified and Dynamic Ordinary Least Squares. • Causality and cointegration between variables. [ABSTRACT FROM AUTHOR]

• Investigation of GHG pollutants persistence in Europe and major economic areas. • Mean reversion properties and the integration factor is examined for CO2, CH4, and NO2 (2000-2021) • Empirical evidence of mean reversion in CO2 emissions across all countries. • CH4 and NO2 show reduced persistence and not all countries exhibit mean reversion properties. • These empirical findings highlight policy progress, but underscore the need for further efforts. This paper investigates the persistence of GHG in Europe, evaluating the effectiveness of government policies, including the Kyoto Protocol and the EU Council commitment. Mean reversion properties, and the structure of the integration factor were examined to determine the degree of persistence across markets and assess policy effectiveness. The analysis focuses on CO 2 , CH 4 , and NO 2 pollutants, with monthly data starting in January 2000 and ending in December 2021 from major European countries, and the US, Japan, Brazil, China, and India for comparison purposes. Empirical results show clear evidence of mean reversion in CO 2 emissions observed across all countries, indicating certain degrees of stabilization. Similar patterns are seen for CH 4 , and NO 2 , observing reduced persistence of these pollutants; however not all countries exhibit mean reversion properties. Thus, these findings highlight policy progress in stabilizing GHG emissions, particularly for CO 2 , but underscore the need for further efforts to achieve a substantial emissions reduction. [ABSTRACT FROM AUTHOR]

The aim of this paper is to showcase different decarbonization pathways for Europe with varying Carbon dioxide (CO2) constraints until 2050. The Global Energy System Model (GENeSYS-MOD) framework, a linear mathematical optimization model, is used to compute low-carbon scenarios for 17 European countries or regions. The sectors power, lowand high-temperature heating, and passenger and freight transportation are included, with the model endogenously constructing capacities in each period. Emission constraints differ between different scenarios and are either optimized endogenously by the model, or distributed on a per-capita basis, GDP-dependent, or based on current emissions. The results show a rapid phase-in of renewable energies, if a carbon budget in line with established international climate targets is chosen. It can be shown that the achievement of the 2° target can be met with low additional costs compared to the business as usual case, while reducing total emissions by more than 30%. [ABSTRACT FROM AUTHOR]

Atmospheric inversions are used to derive constraints on the net sources and sinks of CO 2 and other stable atmospheric tracers from their observed concentrations. The resolution and accuracy that the fluxes can be estimated with depends, among other factors, on the quality and density of the observational coverage, on the precision and accuracy of the transport model used by the inversion to relate fluxes to observations, and on the adaptation of the statistical approach to the problem studied. In recent years, there has been an increasing demand from stakeholders for inversions at higher spatial resolution (country scale), in particular in the framework of the Paris agreement. This step up in resolution is in theory enabled by the growing availability of observations from surface in situ networks (such as ICOS in Europe) and from remote sensing products (OCO-2, GOSAT-2). The increase in the resolution of inversions is also a necessary step to provide efficient feedback to the bottom-up modeling community (vegetation models, fossil fuel emission inventories, etc.). However, it calls for new developments in the inverse models: diversification of the inversion approaches, shift from global to regional inversions, and improvement in the computational efficiency. In this context, we developed LUMIA, the Lund University Modular Inversion Algorithm. LUMIA is a Python library for inverse modeling built around the central idea of modularity: it aims to be a platform that enables users to construct and experiment with new inverse modeling setups while remaining easy to use and maintain. It is in particular designed to be transport-model-agnostic, which should facilitate isolating the transport model errors from those introduced by the inversion setup itself. We have constructed a first regional inversion setup using the LUMIA framework to conduct regional CO 2 inversions in Europe using in situ data from surface and tall-tower observation sites. The inversions rely on a new offline coupling between the regional high-resolution FLEXPART Lagrangian particle dispersion model and the global coarse-resolution TM5 transport model. This test setup is intended both as a demonstration and as a reference for comparison with future LUMIA developments. The aims of this paper are to present the LUMIA framework (motivations for building it, development principles and future prospects) and to describe and test this first implementation of regional CO 2 inversions in LUMIA. [ABSTRACT FROM AUTHOR]

This paper analyses decarbonisation scenarios for the European passenger car fleet in 2050. The scenarios have been developed using the backcasting approach and aim to reduce greenhouse gas (GHG) emissions of passenger cars to a level defined in the Transport White paper that is 60% below 1990 levels. Considering the emission levels of 2010, a yearly reduction of 1.7% is required in order to achieve the target. Car emissions were decomposed into the main emission factors of mobility, efficiency and carbon intensity. How these factors change over time depends on various external factors: the pace of technological improvements, the future role of cars in society’s mobility system and the priority given to decarbonising energy demand. The analysis showed that if car mobility and ownership continue to increase as expected in a ‘business as usual’ case, a share of 97% plug-in hybrid or battery electric vehicles might be required by 2050, together with a substantial decrease in greenhouse gas emission from electricity production. A transition to more advanced car technology such as automated driving, advanced batteries or lightweight materials in vehicle production would raise vehicle efficiency. Should car mobility continue at a high level, an early technology transition will be required. [ABSTRACT FROM AUTHOR]

The aim of this paper is to analyze the main determinants of the economic acceptability of four Green Technologies (GTs): alternative fuel vehicles, energy savings in residential buildings, smart meters and renewable electricity, using a meta-analysis on a sample of 35 selected papers, which provided 245 primary data. This approach allows detecting relationships across heterogeneous studies, avoiding the subjectivity of qualitative surveys. We implement a new two-step procedure. First, we compute a measure of the implicit price for a kilogram of CO2 avoided (PCO2), homogenizing the usable information for the GTs considered. Second, we conduct a meta-regression using the computed PCO2 values to estimate the socio-economic determinants' impact. In general, our results show a wide degree of acceptability for GTs which is stronger among European citizens. In particular, it emerges that, on average, the estimated PCO2 is positive for the GTs considered, and additional positive effects exist when respondents are confronted with an explicit reference to quantitative targets in terms of CO2 abatement, a clear proposal for payment timing, and a specific renewable electricity mix. These results indicate that information and transparency are crucial to spur GTs deployment. Therefore, to support GTs’ market penetration, public and private institutional stakeholders, have to provide “ad hoc” information to the end users, setting a clear and suitable system of prices to increase the economic value end users place on GTs. [ABSTRACT FROM AUTHOR]

• We use a spatial error model to test the EKC hypothesis on European cities. • The sample is a balanced panel of 922 European cities from 2000 to 2020. • We test CO 2 and SO 2 emissions, PM 2.5 and O 3 concentration and artificial land use. • Depending on the environmental indicator, the EKC takes on different shapes. • Participation in Transnational City Networks can affect EKC curvature. This paper empirically explores the extent to which European cities are on track to sustainable development by examining the environmental performance of a large sample of cities observed during the last two decades. The paper builds on the Environmental Kuznets Curve framework and leverages satellite data to build a set of environmental indicators as varied and as granular as possible. Evidence suggests that European cities are, on average, on track to sustainable development, meaning that the contribution of their economic growth to environmental degradation is already negative or close to becoming so. The paper also examines Transnational City Networks as accelerators of environmental transition. The results suggest that cities participating in such networks anticipate the transition with respect to their peers. [ABSTRACT FROM AUTHOR]

This paper updates the results obtained earlier with the climate model developed at the A.M. Obukhov Institute of Atmospheric Physics of the Russian Academy of Sciences (IAP RAS CM) and describing the impact of atmospheric sulfur dioxide on the terrestrial carbon cycle. Since no global data are available for the near-surface SO2 concentration, a statistical model was used to reconstruct its concentration from appropriate data on surface sulfate concentrations; the coefficients of this model were tuned by using the output of the RAMS-CMAQ atmospheric chemistry and transport model. The results obtained in this study are generally consistent with data reported earlier. Specifically, the most significant SO2 impact on the terrestrial carbon cycle was found to be for southeastern North America and for Europe. However, this impact for southeastern Asia obtained in this study is considerably weaker than the value obtained earlier, which can be explained by the excessive moisture content in the atmosphere used in the IAP RAS CM for this region. [ABSTRACT FROM AUTHOR]

The concept of urban CO 2 networks has been developed to deploy heat pump based district heating and cooling systems in dense urban areas. The use of the CO 2 phase change reduces the cost of the heat distribution while allowing to recover waste heat that is typically rejected to the environment. The use of heat pumps to harvest heat from the environment and to supply heat to buildings allows one to propose district systems with COP as high as 6. Heat pumps can use the electricity produced by photovoltaics already providing up to 60% of the total consumption. This paper studies the integration of fuel cell based power to gas for the seasonal storage of the excess electricity produced in the summer by PV panels. The methane stored in liquid form is used in the winter to balance the electrical needs by fuel cell based co-generation, making therefore the city 100% supplied by renewable energy. The present work evaluates the integration of CO 2 district energy network including power to gas systems on a compact urban block considering heating, cooling, electricity, e-mobility and waste management for different European climatic zones. In order to reach fully autonomous blocks using solar PV and municipal and industrial waste heat, a PV area of 10–35 m 2 /cap would be needed. The rooftop area available appears to be sufficient in areas like Southern Europe, while more area or alternative renewable sources such as wind or hydro are needed for other climatic zones. Regarding the economic feasibility of the system, the results show that an investment of 900–1300 €/cap would be needed, with a payback time between 11 and 14 years, depending on the different climate zones in Europe. [ABSTRACT FROM AUTHOR]

The power-to-methane technology is promising for long-term, high-capacity energy storage. Currently, there are two different industrial-scale methanation methods: the chemical one (based on the Sabatier reaction) and the biological one (using microorganisms for the conversion). The second method can be used not only to methanize the mixture of pure hydrogen and carbon dioxide but also to methanize the hydrogen and carbon dioxide content of low-quality gases, such as biogas or deponia gas, enriching them to natural gas quality; therefore, the applicability of biomethanation is very wide. In this paper, we present an overview of the existing and planned industrial-scale biomethanation facilities in Europe, as well as review the facilities closed in recent years after successful operation in the light of the scientific and socioeconomic context. To outline key directions for further developments, this paper interconnects biomethanation projects with the competitiveness of the energy sector in Europe for the first time in the literature. The results show that future projects should have an integrative view of electrolysis and biomethanation, as well as hydrogen storage and utilization with carbon capture and utilization (HSU&CCU) to increase sectoral competitiveness by enhanced decarbonization. [ABSTRACT FROM AUTHOR]

This paper provides an account of urban greenhouse gas (GHG) emissions from 40 countries in Europe and examines covariates of emissions levels. We use a 'top-down' analysis of emissions as spatially reported in the Emission Dataset for Global Atmospheric Research supplemented by Carbon Monitoring for Action from 1153 European cities larger than 50 000 population in 2000 (comprising >81 % of the total European urban population). Urban areas are defined spatially and demographically by the Global Rural Urban Mapping Project. We compare these results with 'bottom-up' carbon accounting method results for cities in the region. Our results suggest that direct (Scopes 1 and 2) GHG emissions from urban areas range between 44 and 54 % of total anthropogenic emissions for the region. While individual urban GHG footprints vary from bottom-up studies, both the mean differences and the regional energy-related GHG emission share support previous findings. Correlation analysis indicates that the urban GHG emissions in Europe are mainly influenced by population size, density, and income and not by biophysical conditions. We argue that these data and methods of analysis are best used at the regional or higher scales. [ABSTRACT FROM AUTHOR]

This paper provides a revision of the latest studies on the topic methanation, a multi-stage process where water is first converted into hydrogen in an electrolyzer, which subsequently reacts with carbon dioxide to produce methane. The present and future of the most common water electrolysis technologies is addressed. Critical issues to take into consideration when selecting a carbon dioxide source are evaluated. Chemical and biological approaches, together with photocatalytic configurations are discussed, analyzing pros and cons in all the cases. This paper also highlights the extensive work being done in the development of catalysts capable of selectively converting carbon dioxide into methane, as well as the different reactor configurations that can be used with this aim in any of the available methanation modalities. Relevant power-to-methane plants in Europe have been identified and assessed regarding their location, year of commissioning, capacity, technology for electrolysis and methanation type. Finally, cost issues are analyzed, highlighting economic perspectives of the power-to-methane technologies for the next decades. This document reviews all the key elements associated with the methanation process, revealing which aspects can pave the way for the large-scale implementation of this power generation model. In this sense, the gradual cost reduction of the equipment involved and the continuous increase in the efficiency of the processes are revealed as crucial aspects that can lead to a general implementation of the methanation concept on the way to a low carbon economy. • The latest studies on Power to Methane (PtM) processes are reviewed. • Methanation systems will facilitate the transition to a low-carbon economy. • Flexible operation of PEMEC electrolyzers makes them the best option for PtM plants. • Chemical methanation have the greatest potential to be implemented on a large scale. • Biological methanation is a promising pathway for future energy storage. [ABSTRACT FROM AUTHOR]

Rising levels of greenhouse gases (GHG) in our atmosphere make it necessary to find pathways to reduce the amount of GHG, especially emissions of CO2. One approach is carbon capture and utilization by mineralization (CCUM). With this technology, it is possible to bind CO2 chemically from exhaust gas streams in magnesium or calcium silicates. Stable products of this exothermic reaction are carbonates and amorphous silica. Being amongst the biggest emitters of CO2, the cement industry has to find ways to reduce emissions. Geological mapping in Europe has been carried out to find suitable feedstock material, mainly olivines but also slags, to perform lab‑scale carbonation tests. These tests, conducted in a 1.5 L autoclave with increased pressure and temperature, have been scaled up to a 10 L and a 1000 L autoclave. The outcomes of the carbonation are unreacted feed material, carbonate, and amorphous silica, which have to be separated to produce substitutes for the cement industry as pozzolanic material (amorphous silica) or a value‑added product for other applications like paper or plastics (magnesite/calcite with bound anthropogenic CO2). Therefore, a process for the separation of ultrafine carbonation product was developed, consisting mainly of classification and flotation. [ABSTRACT FROM AUTHOR]