In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two different types of oil were tested: AW460 and AW68. Linear regression (LR) was applied for 11 scenarios and showed a direct correlation between the level of oil and the sensor’s output. The measurement with AW460 oil presented a perfect linear behavior, while for AW68, a higher standard deviation was obtained justifying the occurrence of the nonlinearity in several scenarios. In order to overcome the nonlinear effect, two machine learning (ML) techniques were tested: K-nearest neighbors regression (KNNR) and multilayer perceptron (MLP) neural network regression. The highest correlation coefficient ( R2 ) and the lowest root mean squared error (RMSE) were obtained for AW68 with MLP. Therefore, MLP was used for regression (level prediction for water, oil, and emulsion) as well as classification (identify the type of oil in the reservoir) simultaneously. The suggested network exhibited a high accuracy for oil identification (99.801%) and improved linear performance in regression ( R2 = 0.9989 and RMSE = 0.065).
DOCUMENT
Closed loop or ‘circular’ production systems known as Circular Economy and Cradle to Cradle represent a unique opportunity to radically revise the currently wasteful system of production. One of the challenges of such systems is that circular products need to be both produced locally with minimum environmental footprint and simultaneously satisfy demand of global consumers. This article presents a literature review that describes the application of circular methodologies to education for sustainability, which has been slow to adopt circular systems to the curriculum. This article discusses how Bachelor and Master-level students apply their understanding of these frameworks to corporate case studies. Two assignment-related case studies are summarized, both of which analyze products that claim to be 'circular'. The students' research shows that the first case, which describes the impact of a hybrid material soda bottle, does not meet circularity criteria. The second case study, which describes products and applications of a mushroom-based material, is more sustainable. However, the students' research shows that the manufacturers have omitted transport from the environmental impact assessment and therefore the mushroom materials may not be as sustainable as the manufacturers claim. As these particular examples showed students how green advertising can be misleading, applying “ideal” circularity principles as part of experiential learning could strengthen the curriculum. Additionally, this article recommends that sustainable business curriculum should also focus on de-growth and steady-state economy, with these radical alternatives to production becoming a central focus of education of responsible citizens. https://doi.org/10.1016/j.jclepro.2019.02.005 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Increasingly, entrepreneurial growth is discussed in relation to business sustainability and the wider questions of ‘growth’ – economic, green, or sustainable. This chapter will discuss the challenges and opportunities of teaching circular economy and Cradle to Cradle (C2C) models of sustainable production. The course applying circular economy theory to corporate case studies at the liberal arts college in The Netherlands will be discussed. Students were given the assignment to advise an existing company how to make a transition from a linear to circular economy model. https://doi.org/10.1108/978-1-78714-501-620171028 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Structural colour (SC) is created by light interacting with regular nanostructures in angle-dependent ways resulting in vivid hues. This form of intense colouration offers commercial and industrial benefits over dyes and other pigments. Advantages include durability, efficient use of light, anti-fade properties and the potential to be created from low cost materials (e.g. cellulose fibres). SC is widely found in nature, examples include butterflies, squid, beetles, plants and even bacteria. Flavobacterium IR1 is a Gram-negative, gliding bacterium isolated from Rotterdam harbour. IR1 is able to rapidly self-assemble into a 2D photonic crystal (a form of SC) on hydrated surfaces. Colonies of IR1 are able to display intense, angle-dependent colours when illuminated with white light. The process of assembly from a disordered structure to intense hues, that reflect the ordering of the cells, is possible within 10-20 minutes. This bacterium can be stored long-term by freeze drying and then rapidly activated by hydration. We see these properties as suiting a cellular reporter system quite distinct from those on the market, SC is intended to be “the new Green Fluorescent Protein”. The ability to understand the genomics and genetics of SC is the unique selling point to be exploited in product development. We propose exploiting SC in IR1 to create microbial biosensors to detect, in the first instance, volatile compounds that are damaging to health and the environment over the long term. Examples include petroleum or plastic derivatives that cause cancer, birth defects and allergies, indicate explosives or other insidious hazards. Hoekmine, working with staff and students within the Hogeschool Utrecht and iLab, has developed the tools to do these tasks. We intend to create a freeze-dried disposable product (disposables) that, when rehydrated, allow IR1 strains to sense and report multiple hazardous vapours alerting industries and individuals to threats. The data, visible as brightly coloured patches of bacteria, will be captured and quantified by mobile phone creating a system that can be used in any location by any user without prior training. Access to advice, assay results and other information will be via a custom designed APP. This work will be performed in parallel with the creation of a business plan and market/IP investigation to prepare the ground for seed investment. The vision is to make a widely usable series of tests to allow robust environmental monitoring for all to improve the quality of life. In the future, this technology will be applied to other areas of diagnostics.
