Expert Elicitation on Wind Farm Control

Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic interaction, to improve the overall performance of the wind farm and to reduce costs. The primary objectives of wind farm control include increasing power production, reducing turbine loads, and providing electricity grid support services. Additional objectives include improving reliability or reducing external impacts to the environment and communities. In 2019, a European research project (FarmConners) was started with the main goal of providing an overview of the state-of-the-art in wind farm control, identifying consensus of research findings, data sets, and best practices, providing a summary of the main research challenges, and establishing a roadmap on how to address these challenges. Complementary to the FarmConners project, an IEA Wind Topical Expert Meeting (TEM) and two rounds of surveys among experts were performed. From these events we can clearly identify an interest in more public validation campaigns. Additionally, a deeper understanding of the mechanical loads and the uncertainties concerning the effectiveness of wind farm control are considered two major research gaps

Self-love and sociability: the ‘rudiments of commerce’ in the state of nature

Istvan Hont’s classic work on the theoretical links between the seventeenth-century natural jurists Hugo Grotius and Samuel Pufendorf and the eighteenth-century Scottish political economists remains a popular trope among intellectual and economic historians of various stamps. Despite this, a common criticism levelled at Hont remains his relative lack of engagement with the relationship between religion and economics in the early modern period. This paper challenges this aspect of Hont’s narrative by drawing attention to an alternative, albeit complementary, assessment of the natural jurisprudential heritage of eighteenth-century British political economy. Specifically, the article attempts to map on to Hont’s thesis the Christian Stoic interpretation of Grotius and Pufendorf which has gained greater currency in recent years. In doing so, the paper argues that Grotius and Pufendorf’s contributions to the ‘unsocial sociability’ debate do not necessarily lead directly to the Scottish school of political economists, as is commonly assumed. Instead, it contends that a reconsideration of Grotius and Pufendorf as neo-Stoic theorists, particularly via scrutiny of their respective adaptations of the traditional Stoic theory of oikeiosis, steers us towards the heart of the early English ‘clerical’ Enlightenment

Strategies in 'snake venomics' aiming at an integrative view of compositional, functional, and immunological characteristics of venoms

This work offers a general overview on the evolving strategies for the proteomic analysis of snake venoms, and discusses how these may be combined through diverse experimental approaches with the goal of achieving a more comprehensive knowledge on the compositional, toxic, and immunological characteristics of venoms. Some recent developments in this field are summarized, highlighting how strategies have evolved from the mere cataloguing of venom components (proteomics/venomics), to a broader exploration of their immunological (antivenomics) and functional (toxicovenomics) characteristics. Altogether, the combination of these complementary strategies is helping to build a wider, more integrative view of the life-threatening protein cocktails produced by venomous snakes, responsible for thousands of deaths every year.Ministerio de Economía y Competitividad/[BFU2013-42833-P]//EspañaUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Instituto Clodomiro Picado (ICP

Risk management for maritime logistics

ARTS ET METIERS ParisTech;Fraunhofer AUSTRIA;IESEG SCHOOL OF MANAGEMENT;Igipm Laboratoire de genie Industriel et de production de Metz;TECHNISCHE UNIVERSITAT WIEN2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 --26 July 2018 through 27 July 2018 -- --Maritime logistics is regarded as the primary means of transporting goods on a global scale, and have recently attracted by academics and practitioners. The development of maritime logistics is due to the changing role of shipping and logistics chains, rapidly increasing and changing demands of customers. It includes port operations, transportation of goods, global resource utilization, and outsourcing. It also covers new concepts such as managing risks related with maritime operations to improve quality and performance. Risk management has gained importance nowadays. Many methods are used for the risk management problems. The maritime logistics is not widely investigated based on the risk management approach. Otherwise, marine operations have risk problems that affect both the people and the environment. Reduction or preventing of the all risk factors should be ensured using risk management approaches. In this work, I conduct a literature survey about the risk management methods used for maritime logistics. Then, future trends and suggestions are given. © IEOM Society International

Classification of epilepsy groups using EEG signals and patient properties

ARTS ET METIERS ParisTech;Fraunhofer AUSTRIA;IESEG SCHOOL OF MANAGEMENT;Igipm Laboratoire de genie Industriel et de production de Metz;TECHNISCHE UNIVERSITAT WIEN2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 --26 July 2018 through 27 July 2018 -- --One of the most important problems in the hospitals is classification of epilepsy groups. Classification of epilepsy groups (CEG) is also an important indicator for assessing the prognosis and drug treatment. We used feed-forward neural network approach and regression model for prediction of the CEG based on the inputs obtained from the EEG signals and properties of the patients. In the neural network, inputs (sex, age of seizure groups, seizure types, and the loss of consciousness, blood pressure values, and frequency bands from EEG signals) and a single output (CEG) were used. In the study that used a single intermediate layer, Levenberg-Marquardt was chosen as training algorithm and the study was applied in Matlab 14a. Learning, validation, test and system performance were examined for different neuron numbers. The neural network results were compared with the linear regression model. R square was also expected as above 90 percent. The neural network model used for the CEG was achieved 94 percent. This showed that the neural network performed better than linear regression. © IEOM Society International