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In 2015 all the United Nations (UN) member states adopted 17 sustainable development goals (UN-SDG) as part of the 2030 Agenda, which is a 15-year plan to meet ambitious targets to eradicate poverty, protect the environment, and improve the quality of life around the world. Although the global community has progressed, the pace of implementation must accelerate to reach the UN-SDG time-line. For this to happen, professionals, institutions, companies, governments and the general public must become cognizant of the challenges that our world faces and the potential technological solutions at hand, including those provided by chemical engineering. Process intensification (PI) is a recent engineering approach with demonstrated potential to significantly improve process efficiency and safety while reducing cost. It offers opportunities for attaining the UN-SDG goals in a cost-effective and timely manner. However, the pedagogical tools to educate undergraduate, graduate students, and professionals active in the field of PI lack clarity and focus. This paper sets out the state-of-the-art, main discussion points and guidelines for enhanced PI teaching, deliberated by experts in PI with either an academic or industrial background, as well as representatives from government and specialists in pedagogy gathered at the Lorentz Center (Leiden, The Netherlands) in June 2019 with the aim of uniting the efforts on education in PI and produce guidelines. In this Part 1, we discuss the societal and industrial needs for an educational strategy in the framework of PI. The terminology and background information on PI, related to educational implementation in industry and academia, are provided as a preamble to Part 2, which presents practical examples that will help educating on Process Intensification.

Climate change is the greatest challenge of our time for development. Adaptation to this change combined with the reduction of greenhouse gas emissions can help to boost the economic transformation which stimulates growth, fills the energy gap and reduces poverty. This paper focuses on the potential of renewable energy sources (RES) for electricity generation in Madagascar which is a lower-income country. A large accessibility to electricity could be a driving force for the economic development of this fourth worldwide Island. The Electricity mix is currently heavily dependent to fossil fuel imports. Indeed, most of the electric demands are fulfilled by diesel power plants. An overview of the power situation and renewable energy potential of Madagascar is first presented, then different scenarios for the evolution its electricity mix are proposed.

Abstract This paper investigates the relationship between foreign direct investment, clean energy, trade openness, carbon emissions and economic growth in case of UAE covering the period of 1975Q1–2011Q4. We have tested the unit properties of variables in the presence of structural breaks. The ARDL bounds testing approach is applied to examine the cointegration by accommodating structural breaks stemming in the series. The VECM Granger causality approach is also applied to investigate the causal relationship between the variables. Our empirical findings confirm the existence of cointegration between the series. We find that foreign direct investment, trade openness and carbon emissions decline energy demand. Economic growth and clean energy have positive impact on energy consumption.

In an input–output model of a two-sector economy (energy and manufacturing), we analyse the macroeconomic implications of the quality of secondary energy production. We measure it by the net energy ratio (NER for short), i.e. the fraction of produced energy available for net final production. NER is shown to be related to the EROEI concept encountered in energy science and to affect (a) the energy intensiveness of final output, (b) the capital requirements of the two sectors of the economy and the aggregate capital–output ratio, and (c) the rate of capital accumulation and the growth rate of the economy at given saving rate. As a consequence, an energy transition characterized by a decreasing NER would exert a drag on economic growth.

Abstract This study investigates the empirical association of oil prices with economic activity in developed open economy namely: The United States by using the wavelet transform framework. This methodology enables the decomposition of time-series at different time-frequencies. In this study, we have used maximal overlap discrete wavelet transform, wavelet covariance, wavelet correlation, continuous wavelet power spectrum, wavelet coherence spectrum and wavelet based Granger causality approaches to analyze the relationship between oil prices and economic activity. The present study uses month frequency data for the period of 1979M1-2013M7. The results indicate that oil prices have positive impact on economic activity and the feedback effect exists between oil prices and economic activity.

We introduce the concept of product complexity in an endogenous growth model with renewable energy and expanding product variety a la Grossman and Helpman (1991). We describe the complexity of a product as an increasing function of the variety of inputs it consists of. Considering that energy is necessary to all human activities (including research), we highlight what type of long run growth path is possible according to (a) the potential of energy efficiency gains in the various human activities and (b) the effect of the product complexity on the energy intensiveness of its production process. In a finite world, a neoclassical growth path where economic growth can be both quantitative and non-quantitative (i.e. takes the form of an increase in the quantity of produced goods and in the product variety) is only possible if the potential of energy efficiency gains is unbounded in all human activities. If the energy intensiveness of the final production is bounded from below by a strictly positive constant, quantitative growth is not possible in the long run but non-quantitative growth may persist if (i) the impact of product complexity on the energy intensiveness of production is null or weak enough and (ii) the energy intensiveness of research activities tends to zero. If these conditions are not met, no form of long run growth is possible.

Brown ring disease (BRD) in the Manila clam, Ruditapes philippinarum, is a bacterial disease caused by the pathogen Vibrio tapetis. This disease induces the formation of a characteristic brown conchiolin deposit on the inner shell and is associated with a decrease in condition index indicating that the development of the disease affects the energy balance of the clam. A previous study showed that the energy budget of the host was affected by a decrease in filtration activity, and hypothesized that a second way to degrade the energy balance was the increase in maintenance costs associated to the cost of immune response and lesion repair. This paper focusses on this second way of degradation of the energy balance. A starvation experiment confirmed that the energy balance was affected by BRD, independently of the effects on filtration activity, indicating an increase in the maintenance costs. An energy budget model of the Manila clam, based on DEB theory, was developed and allowed to properly predict weight loss during starvation. Vibrio development and its effects on the energy budget of the host was theoretically introduced in the model. Coupling modelling and experimental observations allowed to provide a quantitative and dynamic estimation of the increase in maintenance costs associated with the development of BRD. The estimation which is given here, indicates that during an infection the maintenance cost can almost double compared to the uninfected situation. Further development of the model, especially focussed on Vibrio dynamics and its effects on filtration activity is needed to provide a more extensive description of the energetic cost of BRD in the Manila clam. © 2009 Elsevier B.V. All rights reserved.