Here we describe the development and of a new dispersion model (RapidAir®, Ricardo-AEA Ltd) designed as a decision support platform, and describe a recent validation exercise
in London, UK which was carried out by Strathclyde University, UK. Ricardo’s RapidAir model comprises several libraries written in the python programming language with functionality
specific to air quality analysis (e.g. handling time series observation data, array based processing of road emissions).
Clean Air Zones- big models for big questionsScott Hamilton
Presented at the Scottish Government Air Quality Conference, January 2018.
The presentation shows the results of applying our RapidAir air quality model to calculating high resolution concentrations of NO2 and PM10 for an area containing all of Scotland's cities and most of its major towns.
Clean Air Zones- big models for big questionsScott Hamilton
Presented at the Scottish Government Air Quality Conference, January 2018.
The presentation shows the results of applying our RapidAir air quality model to calculating high resolution concentrations of NO2 and PM10 for an area containing all of Scotland's cities and most of its major towns.
Challenges and solutions for modelling of tidal turbinesLondon
Peter Davies’ (Renewable Energy Technology Leader) paper looks at the potential for using existing wind turbine modelling software to model tidal turbines. While there are obvious differences between air and water, the difference in velocity makes it possible.
Presentation by Scott Taylor, President, Taylor Environmental Services, on the latest changes in environmental regulations for the asphalt industry in California. Taylor is co-chairman of the CalAPA Environmental Committee. Presentation delivered at the CalAPA Spring Asphalt Pavement Conference, held March 20-21, 2019 in Ontario, CA.
Diesel backup generators are commonly installed in hospitals, data centers, universities, hotels, and other businesses for use in the event of power disruptions. These engines have quick response times that provide an unmatched reliable source of emergency backup power. Facilities that have these backup engines can also benefit from enrolling in demand response (DR) programs that offer economic incentives to participants who volunteer the use of their backup generators to supply electricity to the grid during certain periods of high electricity demand. In recent years, there has been an increase in the number of backup engines that have enrolled in DR programs in exchange for economic incentives. DR programs provide grid reliability, especially during periods of high electricity demand. Therefore, this is a win-win situation for backup engine owners and power utility companies offering these incentives. Generally, a backup generator with a capacity of 500 kilowatt (kW) or more is necessary to participate in DR programs. Participants in these DR programs agree with the local power company to use their backup engines when directed; usually during periods of peak electricity demand or power disruption. However, recent air quality regulations that apply to backup generators can be challenging to meet when participating in a DR program. That is the case because the applicable requirements for backup engine depend on whether the use is strictly for emergency purposes or for DR (considered non-emergency). Purely emergency use engines are subject to work practice standards while non-emergency engines are subject to emission limits that may require emission controls. Additionally, non-emergency engines may be subject to dispersion modeling requirements to show compliance with the national ambient air quality standards (NAAQS). At the moment the dispersion model used in permitting evaluations is extremely conservative and can show compliance issues. In conclusion, DR programs can be a profitable way to get additional cash for owners and operators of backup engines. However, the permitting implications should be considered thoroughly before enrolling in such a program to avoid any unintended adverse consequences.
Caltrans Senior Engineer Jacquelyn Wong discusses the use of Environmental Product Declarations on Caltrans asphalt pavement projects. Presentation delivered at the CalAPA Spring Asphalt Pavement Conference, held March 20-21, 2019 in Ontario, CA.
ITM Power (AIM: ITM), the energy storage and clean fuel company, announces its audited results for the
year ended 30 April 2014. The Company currently has £6.550m of projects under contract.
Summary
Commercial Progress in year
- £5.140m of projects under contract at year end
- Won £2.800m contract to supply three refuelling stations in London
- A total of £2.000m refueller build contracts won with Californian Energy Commission
- Thüga Group’s Power-to-Gas plant officially commissioned and operational on schedule
- Successful injection of hydrogen into the German gas grid
- Participation in the UK, US, Swiss and French Hydrogen Infrastructure Programmes
- Optimisation of standard product platforms and reduction in standard product cost
- Partnership with NRM, Germany for Power-to-Gas projects
-Gas network optimisation contract with AMEC and National Grid
Full release here: http://www.itm-power.com/news-item/results-for-the-year-ended-30-april-2014/
Lithium-Ion Batteries towards Circular Economy: A Literature Review of Opport...OlgaRodrguezLargo
Presentation of a literature review of opportunities and issues of recycling treatments for Lithium-Ion Batteries in SDEWES19 Conference, within the framework of the European Project CarE-Service.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776851.
Progetto INNO ed esempi di applicazioni nel campo della GEOMATICA - P.CauSardegna Ricerche
La presentazione del Progetto INNO a cura di Pierluigi Cau, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
Challenges and solutions for modelling of tidal turbinesLondon
Peter Davies’ (Renewable Energy Technology Leader) paper looks at the potential for using existing wind turbine modelling software to model tidal turbines. While there are obvious differences between air and water, the difference in velocity makes it possible.
Presentation by Scott Taylor, President, Taylor Environmental Services, on the latest changes in environmental regulations for the asphalt industry in California. Taylor is co-chairman of the CalAPA Environmental Committee. Presentation delivered at the CalAPA Spring Asphalt Pavement Conference, held March 20-21, 2019 in Ontario, CA.
Diesel backup generators are commonly installed in hospitals, data centers, universities, hotels, and other businesses for use in the event of power disruptions. These engines have quick response times that provide an unmatched reliable source of emergency backup power. Facilities that have these backup engines can also benefit from enrolling in demand response (DR) programs that offer economic incentives to participants who volunteer the use of their backup generators to supply electricity to the grid during certain periods of high electricity demand. In recent years, there has been an increase in the number of backup engines that have enrolled in DR programs in exchange for economic incentives. DR programs provide grid reliability, especially during periods of high electricity demand. Therefore, this is a win-win situation for backup engine owners and power utility companies offering these incentives. Generally, a backup generator with a capacity of 500 kilowatt (kW) or more is necessary to participate in DR programs. Participants in these DR programs agree with the local power company to use their backup engines when directed; usually during periods of peak electricity demand or power disruption. However, recent air quality regulations that apply to backup generators can be challenging to meet when participating in a DR program. That is the case because the applicable requirements for backup engine depend on whether the use is strictly for emergency purposes or for DR (considered non-emergency). Purely emergency use engines are subject to work practice standards while non-emergency engines are subject to emission limits that may require emission controls. Additionally, non-emergency engines may be subject to dispersion modeling requirements to show compliance with the national ambient air quality standards (NAAQS). At the moment the dispersion model used in permitting evaluations is extremely conservative and can show compliance issues. In conclusion, DR programs can be a profitable way to get additional cash for owners and operators of backup engines. However, the permitting implications should be considered thoroughly before enrolling in such a program to avoid any unintended adverse consequences.
Caltrans Senior Engineer Jacquelyn Wong discusses the use of Environmental Product Declarations on Caltrans asphalt pavement projects. Presentation delivered at the CalAPA Spring Asphalt Pavement Conference, held March 20-21, 2019 in Ontario, CA.
ITM Power (AIM: ITM), the energy storage and clean fuel company, announces its audited results for the
year ended 30 April 2014. The Company currently has £6.550m of projects under contract.
Summary
Commercial Progress in year
- £5.140m of projects under contract at year end
- Won £2.800m contract to supply three refuelling stations in London
- A total of £2.000m refueller build contracts won with Californian Energy Commission
- Thüga Group’s Power-to-Gas plant officially commissioned and operational on schedule
- Successful injection of hydrogen into the German gas grid
- Participation in the UK, US, Swiss and French Hydrogen Infrastructure Programmes
- Optimisation of standard product platforms and reduction in standard product cost
- Partnership with NRM, Germany for Power-to-Gas projects
-Gas network optimisation contract with AMEC and National Grid
Full release here: http://www.itm-power.com/news-item/results-for-the-year-ended-30-april-2014/
Lithium-Ion Batteries towards Circular Economy: A Literature Review of Opport...OlgaRodrguezLargo
Presentation of a literature review of opportunities and issues of recycling treatments for Lithium-Ion Batteries in SDEWES19 Conference, within the framework of the European Project CarE-Service.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776851.
Progetto INNO ed esempi di applicazioni nel campo della GEOMATICA - P.CauSardegna Ricerche
La presentazione del Progetto INNO a cura di Pierluigi Cau, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
Scottish Urban Air Quality Steering Group - Modelling & Monitoring Workshop -...STEP_scotland
Scottish Urban Air Quality Steering Group Modeling and Monitoring Workshop - Scott Hamilton Presentation - Modelling and monitoring - UK consultancy view
At the 2014 annual Dispersion Modellers user group meeting guest speaker Scott Hamilton spoke on the topic: Modelling the impact of road traffic emissions in Riyadh using open source models and rapid geoprocessing
The RECAP Project: Large Scale Simulation FrameworkRECAP Project
In this presentation, Sergej Svorobej (DCU) gave a brief overview of RECAP and introduced the large scale simulation framework used in the project. The event was held in conjunction with the National Conference on Cloud Computing and Commerce (http://2018.nc4.ie/) and took place April 10, 2018 in Dublin, Ireland.
Learn more about RECAP: https://recap-project.eu/
Apidays Singapore 2024 - Harnessing Green IT by Jai Prakash and Timothée Dufr...apidays
Harnessing Green IT: Optimizing code and clouds to reduce GHG emissions
Jai Prakash, Software Consultant - Zenika
Timothée Dufresne, Deputy Managing Director - Zenika
Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024)
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ILAP (held at the 3rd Digital Oilfield Summit)André Torkveen
The presentation I gave back in October ’15. The conference was held in London by ACI (see http://www.wplgroup.com/aci/event/digital-oilfield-summit-europe/)
The Irish Centre for High End Computing and IBM: The role of advanced computi...MarieThrseCulligan
The Irish Centre for High End Computing (ICHEC) operates and manages a modern national e-infrastructure for Ireland including Ireland’s National Supercomputer . The experience and ability that ICHEC possesses allows it to provide compute and data services in HPC, Big Data, Quantum Computing and Blockchain, supporting research and innovation across academia, public sector and industry.
Similar to Development and validation of a rapid urban scale dispersion modelling platform (20)
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Mention David Carslaw, author of openair, acts as an advisor on the rapidair project
Without this spirit of openness and sharing commercial companies like ours would struggle to innovate and create wealth, jobs and educational opportunities.
We can make cool things like these images, but we re truly standing on the shoulders of giants. With that comes some social responsibility that I take very seriously. I’m very far away so I try to give back via my links to education in my home city.
Open source tools and programming languages are revolutionising industries which rely on data, the power of the tools that are available to anyone free of charge is staggering, and the capacity to innovate using them is unlimited. In our small corner of the data space we use a host of excellent open source tools to do our work. The contributions of these developers and groups cannot be overstated, and their value will only grow.
For example the Jupyter Notebook is changing the way scientists of all disciplines share code and collaborate. Its quickly become my group’s go to tool for any work that needs a combination of data, code and outputs; reproducibility is very easy to achieve.
The modules will be optional, we can include things like WRF modelling and CMAQ which would provide for forecasting capability.- WRF would provide the met data to feed the various local scale models, with CMAQ providing background pollution. CMAQ would need a decent emissions inventory of course but we did this in China with a quite basic emissions inventory covering all of Asia.
Open source tools and programming languages are revolutionising industries which rely on data, the power of the tools that are available to anyone free of charge is staggering, and the capacity to innovate using them is unlimited. In our small corner of the data space we use a host of excellent open source tools to do our work. The contributions of these developers and groups cannot be overstated, and their value will only grow.
For example the Jupyter Notebook is changing the way scientists of all disciplines share code and collaborate. Its quickly become my group’s go to tool for any work that needs a combination of data, code and outputs; reproducibility is very easy to achieve.
Open source tools and programming languages are revolutionising industries which rely on data, the power of the tools that are available to anyone free of charge is staggering, and the capacity to innovate using them is unlimited. In our small corner of the data space we use a host of excellent open source tools to do our work. The contributions of these developers and groups cannot be overstated, and their value will only grow.
For example the Jupyter Notebook is changing the way scientists of all disciplines share code and collaborate. Its quickly become my group’s go to tool for any work that needs a combination of data, code and outputs; reproducibility is very easy to achieve.
We made a league table of polluted famous buildings, we didn’t publish that
This slide shows the results of a collaboration between Scott Hamilton of Ricardo and Glasgow School of Art’s Trudi Hannah. The slide shows a physical model of air pollution created from a RapidAir model result, and an engagement project for children where they can control the speed of a set of lungs breathing at rates associated with high levels of air pollution.
