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

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.

Clean air policies are key for successfully mitigating Arctic warming

Luca Pozzoli, Julia Schmale

A tighter integration of modeling frameworks for climate and air quality is urgently needed to assess the impacts of clean air policies on future Arctic and global climate. We combined a new model emulator and comprehensive emissions scenarios for air pollutants and greenhouse gases to assess climate and human health co-benefits of emissions reductions. Fossil fuel use is projected to rapidly decline in an increasingly sustainable world, resulting in far-reaching air quality benefits. Despite human health benefits, reductions in sulfur emissions in a more sustainable world could enhance Arctic warming by 0.8 °C in 2050 relative to the 1995–2014, thereby offsetting climate benefits of greenhouse gas reductions. Targeted and technically feasible emissions reduction opportunities exist for achieving simultaneous climate and human health co-benefits. It would be particularly beneficial to unlock a newly identified mitigation potential for carbon particulate matter, yielding Arctic climate benefits equivalent to those from carbon dioxide reductions by 2050.

2022

Optimal Methodology to Generate Road Traffic Emissions for Air Quality Modeling

Quoc Bang Ho

Growing population, consuming a large amount of energy such as combustion of fossil fuel, increasing pollutant emissions in the atmosphere are the threats to the sustainable development of our planet in general, and of the air quality in particular. According to the World Health Organization, air pollution causes the death of more than 2 million people per year in developing countries, and millions of people also suffer from various respiratory illnesses. Road traffic is the main source of air pollution in cities and there are large uncertainties associated to this source of pollution. Different models are available to quantify the amount of pollutants released by road traffic. However, these models always require a large amount of information and work, and thus their use results expensive. These limitations are difficult for the study and the management of air quality in cities from the developing world. Thus, it is extremely difficult to design efficient abatement strategies to reduce air pollution. For this reason, it is necessary to develop a new methodology for generating road traffic emissions to contribute to a better management of the urban air quality. The first aim of this PhD thesis is to develop and to validate a new model for generating road traffic emissions in several steps with different levels of complexity. The developed model is called EMISENS. Its main specifications are: (i) EMISENS is able to compute a total amount of emissions and to distribute it in time and in space using a methodology which combines the top-down and the bottom-up approaches; (ii) the model is able to compute the emissions and the uncertainties within a reasonable computing time and (iii) the model formulation is based on well referenced methodology (COPERT IV). The validation of EMISENS model was carried out by its application over Strasbourg, France. The results of EMISENS have been compared with the results of the more complete and complex model Circul'air which is currently used to manage the Strasbourg air quality. After comparing the results of the two models, it appeared that they are very close. This example of application illustrates the capacity of EMISENS to calculate road traffic emission inventory (EI) for cities in developed countries as well as in developing countries. Further on, a complete EI is carried out over Ho Chi Minh City (HCMC) by applying an innovative methodology based on the application of the EMISENS model. HCMC is the largest city in Vietnam, it had more than 6 million inhabitants in 2006. It has more than three million vehicles and 28,500 factories in the city. High levels of air pollution are thus very often detected. The purpose of this part of the research consists in applying the EMISENS model to generate road traffic emissions. For the other emission sources, the top-down approach is used for generating the EI. The results show that the road traffic is the main emission source in the city. The motorcycles are responsible of the traffic emissions (94 % of CO, 68% of Non-Methane Volatile Organic Compound (NMVOC), 61 % of SO2 and 99 % of CH4). Two scenarios for reducing traffic emissions are evaluated to reduce the HCMC emissions for the year 2015 and 2020. In addition, two other scenarios are the Business as Usual scenarios for the year 2015 and 2020 are also studied to evaluate the traffic emissions in HCMC. The third part of this work consists in applying air quality models to the region of HCMC, the aim here is to study abatement strategies for emission reduction in the city. The results of the simulation show that the plume of O3 is developed in the north-western part of the city. These results are in good agreement with the measurements. Among the four previous emission scenarios, we chose only two reduction emission scenarios to study the effective abatement strategies for the year 2015 and 2020 in using air quality model. These two affective abatement strategies are adopted to help the local government to take decision for managing air quality in HCMC. The 100 Monte Carlo (MC) simulations are run for estimating the uncertainty in the results of air quality simulations. The results of these two abatement strategies showed that if the local government follows the emission control plan: For 2015, the O3 concentration in 2015 will be similar to the present O3 concentration. For 2020, the O3 concentration in 2020 will decrease of around 10% to 30% of O3 in comparison to the actual level. However, the O3 concentration in 2020 is still higher than standard limit. The developed methodology for generating road traffic emissions offers several advantages. It is able to calculate a road traffic emission for both developing and developed countries. The calculation is divided in several steps with different level of complexity. Therefore, this methodology provides the new approach to manage air quality in cities.

EPFL2010

Redox dual-flow battery for combined electricity storage and hydrogen production

Danick Reynard

The energy transition towards a carbon-neutral and sustainable economy is one of the greatest challenges of the 21st century to combat global warming and pollution. The decarbonization process is affecting every sector of the economy (electricity, transportation, industrialâŠ). For power generation, renewable energy resources are realistic alternatives to replace fossil resources such as gas and coal. However, the intermittent nature of wind and solar power limits their penetration into the conventional grid and increases the need for energy storage (battery, hydrogen storageâŠ) for smoothing out fluctuations between electric supply and demand. In this context, the concept of the redox dual-flow battery was introduced to propose a hybrid storage solution that can store electrical energy both electrochemically and in the form of hydrogen fuel. The system differs from a traditional redox flow battery by including a secondary energy platform, in which the electrolytes can be discharged chemically in external catalytic reactors through redox-mediated water electrolysis to produce clean hydrogen. The dual storage feature improves the flexibility and enhances significantly the capacity of the system by storing energy beyond the capacity of the electrolytes in the form of hydrogen. Additionally, the redox-mediated water electrolysis offers several advantages over conventional electrolysis in terms of safety, durability and purity. In this thesis, the proof-of-concept of a dual-flow circuit using a vanadium-manganese redox flow battery for combined electricity storage and hydrogen production is demonstrated. The redox flow battery employs vanadium sulfate (V3+/V2+) and manganese sulfate (Mn3+/Mn2+) dissolved in concentrated sulfuric aqueous solution as negative and positive electrolyte, respectively. The galvanic cell achieves energy efficiency of 68% at a current density of 50 mAÂ·cmâ2 (cell voltage =1.92 V) and a relative battery energy density 45% higher than the conventional all-vanadium RFB in the same conditions. Once charged, the electrolytes can be spontaneously discharged through redox-mediated oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) in RuO2 and Mo2C catalytic reactors, resulting in an energy consumption for hydrogen production of ca. 50 kWh/kg H2. The system provides a competitive alternative for large-scale energy storage in renewable energy and transport applications.