O Acordo de Paris preconiza que cada país descreva e comunique suas ações climáticas pós-2020. Neste contexto, as Curvas de Custo Marginal de Abatimento (MACC) podem ser úteis aos países e aos tomadores de decisão, pois mostram de forma clara o custo (em unidades monetárias por massa de CO2e) para a implementação de tecnologias de mitigação de emissões de gases do efeito estufa (GEE) e o seu potencial de redução de emissões associado (em massa de CO2e). As MACC podem ser utilizadas para qualquer unidade política, como: país, cidade ou estado. Podem, também, ser aplicadas a diversas áreas, tais como: transporte, construção, poluição do ar, agricultura ou indústria. Diante desta diversidade de estudos e aplicações, o objetivo do presente trabalho foi desenvolver uma metodologia de adaptação de MACC, de estudos publicados na literatura, para qualquer unidade política ou ano de interesse. Isto permitirá a \"reutilização\" destas MACC, porém sem a necessidade da realização de novos estudos. O desenvolvimento da metodologia de adaptação prescindiu de uma meta-análise e harmonização de dados da literatura. A metodologia desenvolvida foi aplica ao Brasil, considerando os subsetores industriais de cimento e de siderurgia. Ela foi, também, implementada no software Access® (e denominada re-MACC) para que todo o processo de adaptação das MACC pudesse ser realizado automaticamente. Analisando um total de 178 tecnologias de baixo carbono para os subsetores de cimento e de siderurgia, o resultado mostrou que seria possível reduzir, em 2014, aproximadamente 52,4% das emissões de CO2e, gerando uma economia monetária de 1.835 US$/tCO2e, caso o Brasil as adotasse. A metodologia foi capaz de harmonizar dados para qualquer unidade política ou ano de interesse, todavia refinamentos são necessários para torná-la ainda mais acurada / The Paris Agreement calls on each country to describe and report on its climate actions post-2020. In this context, the Marginal Abatement Cost Curves (MACC) can be useful to countries and decision makers as they clearly show the cost (in monetary units per mass of CO2e) for the implementation of greenhouse gas (GHG) emission mitigation technologies and their associated emission reduction potential (in mass of CO2e). They can be used for any jurisdiction, such as country, city or state. They can also be applied to several areas, such as: transportation, buildings, air pollution, agriculture or manufacturing. In view of this diversity of studies and applications, the objective of the present work was to develop a methodology for adapting MACC, from studies published in the literature, to any jurisdiction or year of interest. This work allows for \"re-using\" these MACC, but without the need for new studies. The development of the methodology is based on a meta-analysis and harmonization of literature data. The methodology was applied to Brazil, considering the industrial cement and steel subsectors. It was implemented in the Access® software (and called re-MACC) so the MACC adaptation process could be performed automatically. Analyzing a total of 178 low-carbon technologies for the Brazilian industrial subsectors of cement and steel, the result showed that it would be possible to reduce by approximately 52.4% of CO2e emissions by 2014, generating monetary savings of 1,835 US$/tCO2e. The methodology proved to be capable in harmonizing the data, however further refinements are needed to make it even more accurate

O Acordo de Paris preconiza que cada país descreva e comunique suas ações climáticas pós-2020. Neste contexto, as Curvas de Custo Marginal de Abatimento (MACC) podem ser úteis aos países e aos tomadores de decisão, pois mostram de forma clara o custo (em unidades monetárias por massa de CO2e) para a implementação de tecnologias de mitigação de emissões de gases do efeito estufa (GEE) e o seu potencial de redução de emissões associado (em massa de CO2e). As MACC podem ser utilizadas para qualquer unidade política, como: país, cidade ou estado. Podem, também, ser aplicadas a diversas áreas, tais como: transporte, construção, poluição do ar, agricultura ou indústria. Diante desta diversidade de estudos e aplicações, o objetivo do presente trabalho foi desenvolver uma metodologia de adaptação de MACC, de estudos publicados na literatura, para qualquer unidade política ou ano de interesse. Isto permitirá a \"reutilização\" destas MACC, porém sem a necessidade da realização de novos estudos. O desenvolvimento da metodologia de adaptação prescindiu de uma meta-análise e harmonização de dados da literatura. A metodologia desenvolvida foi aplica ao Brasil, considerando os subsetores industriais de cimento e de siderurgia. Ela foi, também, implementada no software Access® (e denominada re-MACC) para que todo o processo de adaptação das MACC pudesse ser realizado automaticamente. Analisando um total de 178 tecnologias de baixo carbono para os subsetores de cimento e de siderurgia, o resultado mostrou que seria possível reduzir, em 2014, aproximadamente 52,4% das emissões de CO2e, gerando uma economia monetária de 1.835 US$/tCO2e, caso o Brasil as adotasse. A metodologia foi capaz de harmonizar dados para qualquer unidade política ou ano de interesse, todavia refinamentos são necessários para torná-la ainda mais acurada / The Paris Agreement calls on each country to describe and report on its climate actions post-2020. In this context, the Marginal Abatement Cost Curves (MACC) can be useful to countries and decision makers as they clearly show the cost (in monetary units per mass of CO2e) for the implementation of greenhouse gas (GHG) emission mitigation technologies and their associated emission reduction potential (in mass of CO2e). They can be used for any jurisdiction, such as country, city or state. They can also be applied to several areas, such as: transportation, buildings, air pollution, agriculture or manufacturing. In view of this diversity of studies and applications, the objective of the present work was to develop a methodology for adapting MACC, from studies published in the literature, to any jurisdiction or year of interest. This work allows for \"re-using\" these MACC, but without the need for new studies. The development of the methodology is based on a meta-analysis and harmonization of literature data. The methodology was applied to Brazil, considering the industrial cement and steel subsectors. It was implemented in the Access® software (and called re-MACC) so the MACC adaptation process could be performed automatically. Analyzing a total of 178 low-carbon technologies for the Brazilian industrial subsectors of cement and steel, the result showed that it would be possible to reduce by approximately 52.4% of CO2e emissions by 2014, generating monetary savings of 1,835 US$/tCO2e. The methodology proved to be capable in harmonizing the data, however further refinements are needed to make it even more accurate

Whether it is based on current emissions data or future projections of further growth, the building sector currently represent the largest and singular most important contributor to greenhouse gas (GHG) emissions globally. This notion is also supported by the Intergovernmental Panel on Climate Change based on projection scenarios for 2030 that emissions from buildings will be responsible for about one-third of total global emissions. As such, improving the energy efficiency of buildings has become a top priority worldwide. A significant majority of buildings that exist now will still exist in 2030 and beyond; therefore the greatest energy savings and carbon footprint reductions can be made through retrofit of existing buildings. A wide range of retrofit options are readily available, but methods to identify optimal solutions for a particular abatement project still constitute a major technical challenge. Investments in building energy retrofit technologies usually involve decision-making processes targeted at reducing operational energy consumption and maintenance bills. For this reason, retrofit decisions by building stakeholders are typically driven by financial considerations. However, recent trends towards environmentally conscious and resource-efficient design and retrofit have focused on the environmental merits of these options, emphasising a lifecycle approach to emissions reduction. Retrofit options available for energy savings have different performance characteristics and building stakeholders are required to establish an optimal solution, where competing objectives such as financial costs, energy consumption and environmental performance are taken into account. These key performance parameters cannot be easily quantified and compared by building stakeholders since they lack the resources to perform an effective decision analysis. In part, this is due to the inadequacy of existing methods to assess and compare performance indicators. Current methods to quantify these parameters are considered in isolation when making decisions about energy conservation in buildings. To effectively manage the reduction of lifecycle environmental impacts, it is necessary to link financial cost with both operational and embodied emissions. This thesis presents a novel deterministic decision support system (DSS) for the evaluation of economically and environmentally optimal retrofit of non-domestic buildings. The DSS integrates the key variables of economic and net environmental benefits to produce optimal decisions. These variables are used within an optimisation scheme that consists of integrated modules for data input, sensitivity analysis and takes into account the use of a set of retrofit options that satisfies a range of criteria (environmental, demand, cost and resource constraints); hierarchical course of action; and the evaluations of ‘best’ case scenario based on marginal abatement cost methods and Pareto optimisation. The steps involved in the system development are presented and its usefulness is evaluated using case study applications. The results of the applications are analysed and presented, verifying the feasibility of the DSS, whilst encouraging further improvements and extensions. The usefulness of the DSS as a tool for policy formulation and developments that can trigger innovations in retrofit product development processes and sustainable business models are also discussed. The methodology developed provides stakeholders with an efficient and reliable decision process that is informed by both environmental and financial considerations. Overall, the development of the DSS which takes a whole-life CO2 emission accounting framework and an economic assessment view-point, successfully demonstrates how value is delivered across different parts of the techno-economic system, especially as it pertains to financial gains, embodied and operational emissions reduction potential.