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Due to the increase in energy demand and the effects of global warming, energy-efficient buildings have gained significant importance in the modern construction industry. To create a suitable framework with the aim of reducing energy consumption in the building sector, the external walls of a residential building were considered with two criteria of global warming potential and energy consumption.

In the first stage, to achieve a nearly zero-energy building, energy analysis was performed for 37 different states of thermal insulation. Then, the insulation materials’ life cycle assessment was performed. These results were used to find a set of optimal modes in the Pareto front by using non-dominated sorting genetic algorithm II multi-objective genetic algorithm. Thus, based on the data obtained from this method, it was possible to compare and choose different thermal insulation materials based on the distance from the Pareto front, reducing the environmental effects.

The results showed that replacing the windows was possible to save 3.24% in energy consumption. Also, selecting the proper insulation reduced energy consumption value by 63.13%. Finally, this building can save 69.31% of energy consumption compared to the base building by following the zero-energy building standard. As a result, the Pareto curve was introduced as a guide for the optimal design of the building’s wall insulation.

The proposed method provides designers with a framework for latent carbon analysis to access quickly and select optimal scenarios. It can also be used without restrictions for other decisions with different goals and criteria.

The aim is to holistically assess the environmental performance of windows and analyse how their design and characteristics contribute to the overall performance of the building/space. This study focuses on the performance of windows in patient rooms hosting less mobile people.

This study investigates the life cycle environmental impacts of different glazing types, window frames and fire safety doors at the product level. This article also presents a building-integrated environmental analysis of patient rooms that considers the multiple functionalities of windows by incorporating dynamic energy analysis, comfort and daylighting performance with a life cycle assessment (LCA) study.

The results indicate that the amount of flat glass is the main contributor to the environmental impacts of the glazing units. As for the patient rooms, global warming shows the most significant contribution to the environmental costs, followed by human toxicity, particulate matter formation and eutrophication. The key drivers for these impacts are production processes and operational energy use. This study highlights the significance of evaluating a wide range of criteria for assessing the performance of windows.

An integrated assessment approach is used to investigate the influence of windows on environmental performance by considering the link between window/design parameters and their effects on energy use/costs, daylighting, comfort and environmental impacts. The embodied impacts of different building elements and the influence of various design parameters on environmental performance are assessed and compared. The environmental costs are expressed as an external environmental cost (euro).

The dominance of road transport, both on passenger and freight movements, has reached alarming levels in what concerns their negative environmental impacts as well as societal and economic costs. To reverse this trend, a technology-driven approach and a behavioral change attitude need to be pursued. Promising results have been reported in Europe in the reduction of vehicle ownership, due to the introduction of an alternative transport mode known as car sharing. This work evaluates the contribution of car sharing to sustainable transport, based both in a technological shift and a potential behavioral change.

The state of the art on car sharing and policies presents the effects of these systems and how they have been promoted. As those effects can vary according to the geographical area, the users profile, and service characteristics, a worldwide analysis on car sharing systems covering more than 400 cities was performed. Average service indicators were quantified and characterization variables were accounted to those cities’ urban areas. Considering those normalized values, the authors performed an analysis of the car sharing system in Lisbon (Portugal). An initial assessment was made to estimate its current energy and environmental impacts. This outcome was then compared with the environmental and economic effects of using alternative vehicle technologies in car sharing. The results obtained enable a discussion of the more important variables for the success of the system and, consequently, to choose what policy instruments can help car sharing to succeed.

The results of the existing car sharing schemes reveal the positive contribution of car sharing to fill a “mobility gap” in sustainable transport. It works as a complement to other sustainable transport options and it impacts positively both society and car-sharers in terms of mobility costs, environmental, and energy implications. These results are more significant if a technology shift to electric mobility is promoted. Within the case study in Lisbon, the adoption of electric mobility would allow decreases up to 47% and 65% in energy consumption and CO₂ emissions, respectively. Moreover, the present value economic analysis revealed that, these systems will only be economically viable after approximately 7 years. A sensitivity analysis to the economic model was performed showing that the variables having higher influence were cost-related variables (reducing the break-even timeframe from 36% to 57%), such as vehicle purchase cost, insurance, maintenance and tax costs, and fuel cost.

Car sharing systems generally present social benefits to society as it leads to the reduction of car ownership, with all the positive effects that has on a lower demand for parking space, less congestion, reduced local pollutants and emissions. If the technology used by car sharing vehicles shifts from conventional to another type of technology, the effects both for society and car sharers are even more appealing from a social point of view. In the particular case study approached in the chapter, given the small scale of the car sharing network and low usage patterns, the local results have a low social impact at the city scale. A larger promotion of the system either with a more aggressive marketing campaign targeting specific population niches (e.g., environmentally conscious people), larger vehicle and parking availability, or better integration with the city’s public transport system could foster the deployment of the system, similarly to other cities.

Overall, the results obtained from this research work quantify the contribution of car sharing to sustainable transport and highlights the positive effects of promoting a technological shift. These facts reinforce the need for public policies to support the integration of car sharing within the city’s solutions to promote a more sustainable mobility. The successful deployment of car sharing systems can be influenced by policies targeting features such as allocation of parking, the fees and complementarity with public transport, signage and markings, and marketing of social and environmental benefits.

Bioelectricity from sugarcane presents possibilities of gaining prominence as an energy source in the coming years, contributing to sustainable development and being a relevant pillar of Brazil’s energy matrix, based on its advantages and the measures that can stimulate it. The purpose of this study is to contribute to a new framework for improving the regulatory framework for Brazilian sugarcane bioelectricity that facilitates the governance of its stakeholders and their respective relationships.

Exploratory and qualitative research, adopting, in addition to theoretical and practical research, consultations with experts, combined with analysis of documents relating to sustainability reports released by companies in the sector.

In the observed reports of 23 companies, it was found that 14 give full relevance to bagasse energy, and it can be attested that sugar-energy bioelectricity includes social, economic and environmental dimensions. In addition, the work presented elements that can benefit cogeneration, such as reduction or exemption of the distribution system use tariff for energy generation from bagasse; freedom for full commercialization in the free energy market, including small consumers; contractual simplification and solidification of financial compensation for clean energy production.

The work contributes to the advancement of theoretical references of business economics and competitiveness for practical application in competitive sustainability environments.

Nowadays, the increase in the capacity of batteries has laid the foundations for a broader diffusion of electric mobility. However, electric mobility is causing a growing electricity demand as well as the need to increase the diffusion of suitable charging stations. Within these last challenges, drawing on the recent literature, this chapter provides a critical and wide-ranging review of papers dealing with the formulation of the problem of the localisation of electric vehicle (EV) charging points. This problem is approached considering the electric charging infrastructure technologies, localisation criteria and related methodologies. This review shows how the ‘electric mobility revolution’ applies the technological innovations provided by the energy supply systems, and the location of these systems within the urban contexts. Since the technological innovations have different options, achieving an international standard of charging systems is still far away. Moreover, as there are several criteria, parameters and methodologies, and some analytical approaches for the localisation of electric vehicle charging points, the formulation of the ‘localisation’ problem should require the application of multi-criteria analysis to be addressed. Finally, the results show that there is no consensus on technologies, criteria, and methodologies to be adopted. Therefore, this wide-ranging analysis of the literature would be useful to support possible benchmarking and systematisation accordingly.

This paper provides an analysis of the energy-carbon Kuznets curve hypothesis (CKC) using a second-generation panel methodology.

Specifically, the authors investigate whether energy consumption, natural resources and governance explain the CKC proposition. The study’s empirical strategy is based on the Westerlund panel cointegration test, augmented mean group (AMG) and vector autoregressive (VAR) panel Granger-causality tests.

The results suggest that the CKC hypothesis is incomplete without these mechanisms, as they play a critical role in reducing carbon emissions in Africa. The authors recommend improving the environmental standards and proper regulatory and monitoring systems to reduce carbon emissions and promote sustainable development in the continent.

The study revisits the CKC hypothesis with particular emphasis on governance and more robust empirical estimation techniques.

The facilities at airports are extensive, diverse in nature and are core to future income and therefore future profitability. Current forecasts indicate a probable growth in air travel of approximately 100 per cent over the next 20 years. It is unlikely that such growth will be accommodated without considerable expansion of the built facilities presently found at existing airports. However, airports are notoriously poor environmental performers. Any growth or expansion must be accompanied by improvements in relation to environmental impact. Argues that facilities management has a significant role to play in ensuring that future airport expansion is sustainable. The role of the facilities management profession in this regard is investigated and a conceptual evaluation framework designed to measure the likely sphere of influence of the airport facilities manager is developed. While the framework presented herein is designed to understand the role of the FM in the context of airport facilities, the analytical technique underpinning it is applicable to designing evaluation models to perform analyses of the FM influence in the case of other facilities. The paper’s relevance thus extends beyond airport management.

The literature on economic forecasting, is showing an increase in criticism, of the inaccuracy of forecasts, with major implications for economic, and fiscal policymaking. Forecasts are subject to the systemic uncertainty of human systems, considerable event-driven uncertainty, and show biases towards optimistic growth paths. The purpose of this study is to consider approaches to improve economic foresight.

This study describes the practice of economic foresight as evolving in two separate, non-overlapping branches, short-term economic forecasting, and long-term scenario analysis of development, the latter found in studies of climate change and sustainability. The unique case of Ireland is considered, a country that has experienced both steep growth and deep troughs, with uncertainty that has confounded forecasting. The challenges facing forecasts are discussed, with brief review of the drivers of growth, and of long-term economic scenarios in the global literature.

Economic forecasting seeks to manage uncertainty by improving the accuracy of quantitative point forecasts, and related models. Yet, systematic forecast failures remain, and the economy defies prediction, even in the near-term. In contrast, long-term scenario analysis eschews forecasts in favour of a set of plausible or possible alternative scenarios. Using alternative scenarios is a response to the irreducible uncertainty of complex systems, with sophisticated approaches employed to integrate qualitative and quantitative insights.

To support economic and fiscal policymaking, it is necessary support advancement in approaches to economic foresight, to improve handling of uncertainty and related risk.

While European Union Regulation (EC) 1466/97 mandates pursuit of improved accuracy, in short-term economic forecasts, there is now a case for implementing advanced foresight approaches, for improved analysis, and more robust decision-making.

Building economic resilience and adaptability, as part of a sustainable future, requires both long-term strategic planning, and short-term policy. A 21st century policymaking process can be better supported by analysis of alternative scenarios.

To the best of the authors’ knowledge, the article is original in considering the application of scenario foresight approaches, in economic forecasting. The study has value in improving the baseline forecast methods, that are fundamental to contemporary economics, and in bringing the field of economics into the heart of foresight.

The purpose of this paper is to gather elements to propose a sustainability assessment tool (SAT) to be used in higher education institutions (HEIs) in Brazil and the related program to be created for SAT dissemination and HEI monitoring, publication of results and benchmarking.

The characteristics of eight SATs were identified, seven of which are applied through widely known international programs to identify aspects to be considered in the definition of the Brazilian model.

In Brazil, stakeholders usually do not know how HEIs develop their potential to contribute with the construction of a sustainable development model. There currently is an international trend, which Brazil must join, to assess HEI sustainability through SATs. The comparison between different international SATs and respective programs yields some recommendations for a Brazilian model, such as definition of their purpose, types of questions to be used, the possibility to apply SATs to HEI sub-units, means of dissemination and others.

The research limitation is the difficulty to obtain information allowing a deeper understanding of sustainability-related activities developed by Brazilian HEIs.

This paper provides a base on which to construct SAT and program models tailored for Brazil.

This is the first paper that stresses the importance of adopting a SAT tailored for Brazil, by comparing and discussing models that may be used for that purpose.

Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality.

The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient.

Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period.

The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.