Low emission scenario for Europe powered by lifestyle changes

Decarbonizing economic activities requires simultaneous behavioural and technological changes. At the household level, actions are straightforward, use public transit and stay off dairy and meat. The objective here is to estimate the overall climate benefits, in emission terms, of a change towards low carbon lifestyles across Europe. The European Calculator, an integrated energy model, provides the basis for evaluating synergies between lifestyle and technological changes, as well as potential trade-offs. Changes in lifestyles are simulated across a wide range of dimensions - from diets and appliances to travel distances and living spaces - and for each EU Member State by 2050. The results allow us to identify behavioural changes by sector and country that compare with ambitious technical changes in terms of mitigation potential without large trade-offs. We call such scenario Soft Landing (SL). In transportation, the SL scenario of shorter daily travel distances, higher rates of passenger occupancy and shifts in modal share can lead to emission reductions and savings in household investments, comparable to those resulting from ambitious technological shifts. Yet, SL avoids significant increases in electricity generation and material demand. In agriculture the SL scenario includes a shift in current diets towards healthy standards and reduction of food waste, freeing up land that can be used for agroecology. Thus, changes in diets can compensate for the land intensity and yield differentials of conventional vs ecological practices. Other examples of cross-sectoral interactions in the SL scenario shows the potential multiplier effects of low carbon lifestyles.

Alternative Methods for Assessing Air Quality and Energy Strategies for Developing Countries: A Case Study on Cuba

Jessie Madrazo Bacallao

The worldwide increasing energy consumption is mainly based on fossil fuel which leads to a large number of environmental problems. Indeed, the combustion of fossil fuels releases into the atmosphere different greenhouse gases and harmful pollutants which are responsible for climate change and cause air quality degradation. Moreover, fossil fuel resources are limited and their depletion will happen sooner or later. Governments of the whole world are urged to take relevant measures and policies for energy transition. To support their choices, different decision support approaches have been developed, mainly in industrialized countries. However, these approaches usually lack coherent integration and rely on expensive and often unavailable detailed data, especially in developing countries. This PhD aims at developing alternative methods for the assessment of air quality and energy strategies in the framework of developing countries. The developed methods are implemented in Cuba which seems an excellent test case to design and apply energy strategies for developing countries. The first part of this work deals with methods intended to reliable assess air quality. For this purpose, an air pollution measurement campaign was carried out in Havana. It provided data to implement and improve a pre-existing methodology capable of estimating Cuban vehicle emission factors. Statistical analysis indicated that traffic accounted for around 50% of particular matter concentration levels. Furthermore, vehicles pre-1980s were identified as the most polluting technologies at the street level. This work also demonstrates the usability of an emission inventory designed for air quality simulations. Benchmarking tools developed in the framework of the Forum for Air Quality Modelling in Europe helped to pinpoint differences between global and regional inventories, and identify where efforts should concentrate for improving emission data. This research also sets up simplified algebraic relationships (i.e. so-called Source-Receptor Relationship) capable of predicting the impacts on concentration levels resulting from regional emission abatement strategies, while being more time-efficient than traditional methods. The second part is dedicated to exploring scenarios for a reliable Cuban energy transition. To this end, the energy fluxes between resources, technologies and final demand were computed for the year 2015. A set of scenarios were then designed on the basis of different mixes of energy resources. These scenarios have been compared according to three criteria that seemed the most relevant for the country geopolitical and economic situation: energy security (degree of dependence from energy imports), sustainability of the energy resources and population exposure to harmful pollutants. Overall, the results indicated that energy security and sustainability increase with wind and solar penetration at different rates. A penetration rate of 20% of the demand significantly decreases fossil fuel requirements and imports. Once raised to 50%, Cuba can achieve complete energy independence. The scenario which fulfils 100% of the electricity demands from solar and wind resources shows the maximum of sustainability. Not surprisingly, the penetration of renewables had positive effects on air quality.

EPFL2018

Alternative Methods for Assessing Air Quality and Energy Strategies for Developing Countries: A Case Study on Cuba

Jessie Madrazo Bacallao

EPFL2018