94 research outputs found

    Manufacturing challenges for custom made solar vehicles in South Africa

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    Solar challenges are designed to test the reliability and efficiency of solar powered vehicles in endurance races. In the past these manufactured vehicles were technology drivers and led to advances in electric motors and solar cell efficiency. The speed in relation to power consumption is one of the main design considerations, with the only energy source being solar power. In the design and manufacturing of these vehicles a number of requirements need to be met in order to pass the safety standards. The Sasol Solar Challenge (SSC) created an opportunity for South African universities to design and manufacture custom made solar powered vehicles. This paper explores and discusses the challenges for manufacturing solar vehicles in South Africa. Key elements like the communication gap between design and manufacturing, the cost of lightweight solar encapsulation, the shortage of local suppliers and expertise in composite manufacturing are evaluated. These insights can be used as foundation for strategic decisions by future stakeholders

    ExoClock Project: An open platform for monitoring the ephemerides of Ariel targets with contributions from the public

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    The Ariel mission will observe spectroscopically around 1000 exoplanets to further characterise their atmospheres. For the mission to be as efficient as possible, a good knowledge of the planets' ephemerides is needed before its launch in 2028. While ephemerides for some planets are being refined on a per-case basis, an organised effort to collectively verify or update them when necessary does not exist. In this study, we introduce the ExoClock project, an open, integrated and interactive platform with the purpose of producing a confirmed list of ephemerides for the planets that will be observed by Ariel. The project has been developed in a manner to make the best use of all available resources: observations reported in the literature, observations from space instruments and, mainly, observations from ground-based telescopes, including both professional and amateur observatories. To facilitate inexperienced observers and at the same time achieve homogeneity in the results, we created data collection and validation protocols, educational material and easy to use interfaces, open to everyone. ExoClock was launched in September 2019 and now counts over 140 participants from more than 15 countries around the world. In this release, we report the results of observations obtained until the 15h of April 2020 for 119 Ariel candidate targets. In total, 632 observations were used to either verify or update the ephemerides of 83 planets. Additionally, we developed the Exoplanet Characterisation Catalogue (ECC), a catalogue built in a consistent way to assist the ephemeris refinement process. So far, the collaborative open framework of the ExoClock project has proven to be highly efficient in coordinating scientific efforts involving diverse audiences. Therefore, we believe that it is a paradigm that can be applied in the future for other research purposes, too

    ExoClock Project. III. 450 New Exoplanet Ephemerides from Ground and Space Observations

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    The ExoClock project has been created to increase the efficiency of the Ariel mission. It will achieve this by continuously monitoring and updating the ephemerides of Ariel candidates, in order to produce a consistent catalog of reliable and precise ephemerides. This work presents a homogenous catalog of updated ephemerides for 450 planets, generated by the integration of ∼18,000 data points from multiple sources. These sources include observations from ground-based telescopes (the ExoClock network and the Exoplanet Transit Database), midtime values from the literature, and light curves from space telescopes (Kepler, K2, and TESS). With all the above, we manage to collect observations for half of the postdiscovery years (median), with data that have a median uncertainty less than 1 minute. In comparison with the literature, the ephemerides generated by the project are more precise and less biased. More than 40% of the initial literature ephemerides had to be updated to reach the goals of the project, as they were either of low precision or drifting. Moreover, the integrated approach of the project enables both the monitoring of the majority of the Ariel candidates (95%), and also the identification of missing data. These results highlight the need for continuous monitoring to increase the observing coverage of the candidate planets. Finally, the extended observing coverage of planets allows us to detect trends (transit-timing variations) for a sample of 19 planets. All the products, data, and codes used in this work are open and accessible to the wider scientific community

    ExoClock Project III: 450 new exoplanet ephemerides from ground and space observations

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    The ExoClock project has been created with the aim of increasing the efficiency of the Ariel mission. It will achieve this by continuously monitoring and updating the ephemerides of Ariel candidates over an extended period, in order to produce a consistent catalogue of reliable and precise ephemerides. This work presents a homogenous catalogue of updated ephemerides for 450 planets, generated by the integration of \sim18000 data points from multiple sources. These sources include observations from ground-based telescopes (ExoClock network and ETD), mid-time values from the literature and light-curves from space telescopes (Kepler/K2 and TESS). With all the above, we manage to collect observations for half of the post-discovery years (median), with data that have a median uncertainty less than one minute. In comparison with literature, the ephemerides generated by the project are more precise and less biased. More than 40\% of the initial literature ephemerides had to be updated to reach the goals of the project, as they were either of low precision or drifting. Moreover, the integrated approach of the project enables both the monitoring of the majority of the Ariel candidates (95\%), and also the identification of missing data. The dedicated ExoClock network effectively supports this task by contributing additional observations when a gap in the data is identified. These results highlight the need for continuous monitoring to increase the observing coverage of the candidate planets. Finally, the extended observing coverage of planets allows us to detect trends (TTVs - Transit Timing Variations) for a sample of 19 planets. All products, data, and codes used in this work are open and accessible to the wider scientific community.Comment: Recommended for publication to ApJS (reviewer's comments implemented). Main body: 13 pages, total: 77 pages, 7 figures, 7 tables. Data available at http://doi.org/10.17605/OSF.IO/P298

    Scalability considerations for multivariate graph visualization

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    Real-world, multivariate datasets are frequently too large to show in their entirety on a visual display. Still, there are many techniques we can employ to show useful partial views-sufficient to support incremental exploration of large graph datasets. In this chapter, we first explore the cognitive and architectural limitations which restrict the amount of visual bandwidth available to multivariate graph visualization approaches. These limitations afford several design approaches, which we systematically explore. Finally, we survey systems and studies that exhibit these design strategies to mitigate these perceptual and architectural limitations

    Probabilistic estimates of injectivity and capacity for large scale CO2 storage in the Gippsland basin, Victoria, Australia

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    Monte Carlo simulations of injectivity and static capacity explore the range of variation and uncertainty of key parameters (permeability, porosity, reservoir thickness, etc.) in 3 selected areas in the Gippsland Basin, Victoria, Australia. The uncertainty range in specific data is represented by a probability density function. A Tornado plot ranks the parameters of uncertainty impact on the carbon dioxide (CO2) storage potential, which is valuable to inform the work program for appraisal to reduce uncertainty and obtain confidence on the suitability of those areas. The attained P50 (50% likelihood) injection rate into the Golden Beach Subgroup is 0.5 - 3.0 Mt/a. More than 84% of the uncertainty can be attributed to uncertainty in permeability. Injection rates for the Halibut are 1.4 and 0.9 Mt/a for Areas 2 and 3, respectively. The likelihood is high that all areas possess storage capacity in the order of tens of millions of tonnes

    Injectivity in the Surat basin, Queensland, Australia: likelihood and uncertainty evaluation

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    In the context of pre-tenement application studies, Monte Carlo simulations of steady state (initial) CO2 injectivity for the Precipice Sandstone in the Surat Basin have been used together with discrete dynamic models to assess injection rate uncertainty. Such uncertainty analyses are used to guide exploration work programs. This paper considers an analysis of steady state injection rates based on a modified form of , using parameter probability probability density functions (PDF) for 4 different tenement areas. Uncertainty in absolute permeability and upscaled permeability (as seen in an injection well) typically accounted for around 70% of variation in estimated steady-state injectivity. Uncertainty in gross thickness and net-to-gross ratio accounted for most of the remaining variation. Due to changes in depositional setting and depth, the P50 initial injectivity estimates for the Precipice Sandstone varies by an order of magnitude from 0.2 to 2.4 megatonne per anum (Mt/a) across the 4 areas. P10/P90 ratios were between 10 and 20 and are indicative of the relative immaturity of the technical assessment. Concepts including several wells will likely be required for industrial scale, multi-Mt/a developments. Dynamic well testing specifically to determine compartmentalisation and heterogeneity and the departure from steady state will be essential in designing and costing any field development plan. Therefore such data will be essential in any exploration or appraisal program
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