• Energy Research
• 2016-2025close
• engineering and technology close
• 9. Industry and infrastructure close
• 14. Life underwater close

The path congestion and communication risks of electric power communication network have emerged as the carried businesses are becoming more and more heavy. In this paper, a multi-objective optimization method for power communication network routing considering the importance of the carried businesses is proposed to reduce load imbalance and transmission risk. Firstly, information entropy is introduced as the objective of communication network load balancing optimization. And a risk assessment model for power communication network nodes and links is established. Then fuzzy membership functions are adopted to singularize the two objectives to jointly optimize path congestion and communication risks. The device nodes are dynamically divided according to the carried businesses to pursue the global optimization of the power communication network in which the Yen's algorithm is adopted. Finally, this paper uses the IEEE 30-bus communication network to carry out case simulations and analyzes the proposed method to verify the effectiveness and feasibility.

Upwelling processes bring nutrient-rich waters from the deep ocean to the surface. Areas of upwelling are often associated with high productivity, offering great economic value in terms of fisheries. The sensitivity of spring/summer-time coastal upwelling systems to climate change has recently received a lot of attention. Several studies have suggested that their intensity may increase in the future while other authors have shown decreasing intensity in their equatorward portions. Yet, recent observations do not show robust evidence of this intensification. The Senegalo-Mauritanian upwelling system (SMUS) located at the southern edge of the north Atlantic system (12°N–20°N) and most active in winter/spring has been largely excluded from these studies. Here, the seasonal cycle of the SMUS and its response to climate change is investigated in the database of the Coupled Models Inter comparison Project Phase 5 (CMIP5). Upwelling magnitude and surface signature are characterized by several sea surface temperature and wind stress indices. We highlight the ability of the climate models to reproduce the system, as well as their biases. The simulations suggest that the intensity of the SMUS winter/spring upwelling will moderately decrease in the future, primarily because of a reduction of the wind forcing linked to a northward shift of Azores anticyclone and a more regional modulation of the low pressures found over Northwest Africa. The implications of such an upwelling reduction on the ecosystems and local communities exploiting them remains very uncertain.

IT technologies related to Industry 4.0 facilitate the implementation of the framework for sustainable manufacturing. At the same time, Industry 4.0 integrates IT processes and systems of production companies with IT solutions of cooperating companies that support a complete manufactured product life cycle. Thus, the implementation of sustainable manufacturing implies a rapid increase in interfaces between IT solutions of cooperating companies. This, in turn, raises concerns about security among manufacturing company executives. The lack of a recognized methodology supporting the decision-making process of choosing the right methods and means of cybersecurity is, in effect, a significant barrier to the development of sustainable manufacturing. As a result, the propagation of technologies in Industry 4.0 and the implementation of the sustainable manufacturing framework in companies are slowing down significantly. The main novelty of this article, addressing the above deficiencies, is the creation, using the combined DEMATEL and ANP (DANP) and PROMETHEE II methods, of a ranking of the proposed three groups of measures, seven dimensions and twenty criteria to be implemented in companies to ensure cybersecurity in Industry 4.0 and facilitate the implementation of the sustainable production principles. The contribution of Industry 4.0 components and the proposed cybersecurity scheme to achieve the Sustainable Development goals, reducing the carbon footprint of companies and introducing circular economy elements was also indicated. Using DANP and PROMETHEE II, it can be concluded that: (i) the major criterion of cybersecurity in companies is validation and maintaining electronic signatures and seals; (ii) the most crucial area of cybersecurity is network security; (iii) the most significant group of measures in this regard are technological measures.

As an archipelago, Indonesia has thousands of islands and stretched coastlines. It is, therefore, Indonesia has many mangroves as a characteristic of plants exists on the coast. There have been many studies and trials of mangrove utilization for economic and ecological purposes, yet it is limited use of mangroves for educational purposes. This study aims to promote the mangrove ecosystem for educational purposes, particularly as a source of biology learning, increase students ’interest in studying biology, and increase students’ interest in conserving mangroves. This study used a qualitative approach with three instruments, namely observation, interview and questionnaire. The result indicated that the mangrove ecosystem could be used as a source of learning biology and be able to increase students’ interest in studying biology and conserving mangroves.

Abstract Carbon capture, utilization, and storage (CCUS) is one of several mitigation options that must be implemented in order to reduce anthropogenic CO 2 emissions. The work presented in this paper is a part of the ongoing PRO_CCS project, where the emphasis is on Polish emitters located on or close to the Baltic Sea coast and possible whole chain CCS solutions for these. This paper will focus on the potential use of CO 2 from these sources in CO 2 -EOR projects in the Baltic Sea and/or North Sea. In addition, a number of technical and non-technical CO 2 -EOR related aspects have been identified and discussed. Two oilfields, B8 in the Polish economic sector of the Baltic Sea and Brage on the Norwegian Continental Shelf have been selected. These two fields are matched with suitable emitters in Poland to develop two separate CCUS scenarios. The scenarios will provide a prediction on operations during the CO 2 -EOR project lifetime. These predictions will be based on open information about the oilfields and their current operation, and on available literature on CO 2 -EOR operations. The goal of the project is to assess the economic viability of the two scenarios.

Quarterly sampling campaigns were carried out during year 2019 to study the effects of organic pollution on the diversity and abundance of meiofauna from a polluted coastal system in north-western Mexico. Amongst harpacticoids, the family Miraciidae Dana 1846 was by far the most abundant and diverse, and several new species and the proposal of some new genera of Stenheliinae Brady 1880 and Diosaccinae Sars 1906 will be published elsewhere. Amongst the Diosaccinae, the genus Robertgurneya Apostolov & Marinov 1988 was one of the most abundant. This genus was proposed and diagnosed by Lang (1944, 1948) but after a complex taxonomical history, was made available by Apostolov & Marinov (1988) who proposed an amended diagnosis and designated R. similis similis (Scott A. 1896) as the type species of the genus. Here I propose a new species, Robertgurneya mexicana sp. nov., and give a fully illustrated record of the widely distributed R. rostrata (Gurney 1927). The relationships amongst the species of Robertgurneya are not clear, but the new Mexican species shares with R. falklandiensis (Lang 1936) the elongated inner dimorphic spine on the basis of the male P1. Additionally, a new amended diagnosis for the genus Robertgurneya, as well as the reallocation of R. soyeri (Apostolov 1974) into Typhlamphiascus Lang 1944, and the creation of a new genus, Robertgurneyella gen. nov., for R. spinulosa (Sars 1911) are proposed. 

This paper explores how market and regulatory factors affect stakeholders' investments in smart grid projects in Europe. Distribution System Operators (DSOs), universities, and technology manufacturers are leading investors, with a cumulative 2286 M€ financed since 2002. Statistical tests were conducted on these groups' investments in smart grid projects in the EU-28, Norway, and Switzerland from 2008-2015, to evaluate the influence of the following factors on investment: the level of distribution sector concentration, the regulatory mechanism in place, and the existence of innovation stimulus mechanisms. The level of distribution sector concentration did not significantly influence investments by these three groups. Market-minded stakeholders, such as DSOs and technology manufacturers, invested more in countries that employed hybrid, incentive, or innovation-stimulus mechanisms; meanwhile, collaborative knowledge-seeking institutions, such as universities, were not swayed by these factors. Taking these findings into consideration will help policy makers design adequate incentives for stakeholders.

We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions.