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SPEL Fuel/Oil Separators

SPEL Fuel/Oil Separators treat surface water run-offs to remove hydrocarbons, trash and silt. SPEL fuel oil separators cater for a wide range of catchment areas from 200 m² up to over 55 hectares with a single unit.

Pollution Prevention Guidelines

SPEL Separators meet the Environment Agency’s Pollution Prevention Guidelines ‘Use and Design of Oil Separators in Surface Water Drainage Systems PPG 3’. These set out the standards with which separators must comply and assist in deciding on the need for a separator at a site and the size and type that is appropriate.

These pollution prevention guidelines require separators to be tested in accordance with the standard test procedure based upon the European Standard BS EN 858 – 1:2002.

SPEL Separators

Designed for high-performance and long service life between maintenance periods. This is achieved with generous retention times and the unique coalescer units which are the ‘heart’ of the separation process to remove finer globules of hydrocarbons.

The range of separators is from NS (NSB) 3 – NS (NSB) 1000.

Catering for car parks, motorways, busy road junctions, industrial and large commercial catchment areas that could become contaminated.

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Developed to serve forecourt areas to filling stations, goods vehicle parking, railway depots and wherever there is a high risk of pollution.

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Providing visual and audible warning when the level of the oil in the SPEL Separator reaches 90% of the storage volume under static liquid level conditions. This is a requirement of the Environment Agency’s Pollution Prevention Guidelines PPG3.

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Designed for large industrial sites, railway maintenance deports, refuelling areas and fire training grounds where fuel is not only captured but transferred back to the supply tank for re-use. Manual and automatic systems are available.

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Value of award (excl. VAT): Questions to ODI by: ODI responses by: Costed proposals due by: ODI interviews shortlisted contractors: Contracts awarded: Final work delivered by: Tender reference: Contact:

By Leigh Dodds

Open standards are an important element of our local, national and global data infrastructure . Standards help us to publish and use data in consistent and easy-to-access ways. However, standards can also help to change markets, create open ecosystems and implement policy objectives.

The first phases of the project have included carrying out desk research to explore approaches to standards development, user-research to understand more about data users needs with respect to standards, and working with organisations experienced with standards development to support them in documenting their tools and processes.

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Over the past few months we’ve been working with each of these organisations to:

​ It’s been a really interesting experience working with all of them. They all work with different communities and on different types of data standards.

Each of the partners have published their own outputs, which will definitely be of interest if you’d like to understand more about standards development:

We’ve learnt a lot from working with these organisations. That insight is being used to shape Tods Lace Up Shoes Black tjZ14wih
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Open data is viewed as a vital resource that can assist businesses in creating new, innovative products and services. Researchers, policymakers and technical experts have celebrated the potential of open data innovation for businesses: they can access data at virtually no cost, obtain novel datasets that were previously unavailable, and create disruptive products and services. It is also argued that SMEs are particularly well-placed to benefit from open data innovation.

Compared to their larger corporate counterparts, SMEs and startups are smaller and more agile, enabling them to respond quickly to new ideas and market demands. They are also able to freely experiment with open data to explore the potential of new products and services. However, as our recent study shows, SMEs and startups can often struggle to fully exploit open data in innovation. Fortunately, the study also identifies key skills and capabilities that businesses should look to build and harness in order to maximise their innovation success.

SME benefits of open data innovation

Inbound open innovation, i.e. using the knowledge and assets of an external organisation to create your products and services, can help SMEs considerably. It speeds up the innovation process dramatically and keeps development costs low. In the context of open data, external sources collected and collated by others can be used with virtually no cost. Using inbound open data in innovation can replace sources of expensive proprietary data, or enable businesses to access new data sources that were previously unavailable, enabling novel innovation. Combining open data with closed proprietary data sources, either internal or shared by partners, can also create new data products and services. SMEs and startups can also grow and scale up using open data through coupled open innovation. An SME may open up their product catalogue data, enabling third parties to partner and advertise or sell the products to new markets in exchange for a small fee. This enables SMEs and startups to grow quickly with limited resources. These low cost innovative advantages are incredibly useful to SMEs and startups.

SME inhibitors to open data innovation

Despite the overwhelming potential for open data innovation in SMEs and startups, there exists many barriers. The limited size of SMEs can be a double-edged sword – while flexibility is beneficial, limited resources can derail the innovation process. SMEs and startups face a series of inhibitors: barriers, costs, and future uncertainty and risks. Due to their smaller size, they can struggle to identify and assess the usefulness of open data, particularly in a world of expanding open data sources. This may be due to time and multitasking limitations, or a limited understanding of open data use. Opportunities to integrate open data into an existing product or service may be overlooked due to time pressures, competing priorities and limited open data knowledge.

These issues can be compounded for data-centric businesses who need skilled data scientists (in short supply) who can not only process open data, but understand how it can be used to solve business problems. Concerns about the future availability of open data as a critical business asset can also deter some SMEs, while a lack of knowledge about managing the legal and reputational risks of open data can also undermine or limit the full application of open data in new innovations. A particular concern is product or service imitation by competitors, which is easier when using open data. Not knowing how to limit that risk can also reduce the full potential of using open data.

Which skills and competencies smash barriers to innovation?

One of the key issues that SMEs and startups face due to their smaller size is reduced time to explore and seize possibilities. However, a narrower breadth of skills and competencies within the venture team can also hold back innovation. Emerging skill gaps can reduce a business’s innovative potential for using open data.

Skills that are particularly important (and unique) are being able to develop and understand the full range of business cases for open data. Understanding the legal aspects of open data are also central to knowing what it can and cannot be used for in innovation. Perhaps less unique, but still critical, is the need to bridge the gaps between the technical side of data science and ‘softer’ management skills, to use open data to create new products and to develop market intelligence which identifies customer needs. At the heart of this are relationship management skills, to work with external open data publishers and consumers to assist in co-innovation.

Wider organisational capabilities are important to any business, but for users of open data some specific expertise is also needed. Unsurprisingly, an open culture is required to facilitate relationships and the sharing of knowledge with external partners to make your innovations work. Beyond the individual skills of relationship management, the business needs to be connected to open data publishers and consumers across all levels of the SME, to learn and share knowledge as well as open data.

To defend against imitators, SMEs need to be able to innovate continually and stay ahead of competitors – in other words, ‘new’ needs to be business as usual. Finally, the SME needs to be able to retain and hire a mix of interdisciplinary talent. Technical skills, to capture the value of open data, but also ‘softer’ management expertise to understand the demand for new innovations and products. While this sounds obvious, a failure to balance different sets of expertise and to facilitate clear dialogue and understanding between, say, data scientists and marketers, will undermine the ability to innovate.

Identify and address skill and capability gaps

SMEs and startups should undertake gap analyses to identify where key open data skills and competencies are missing or underdeveloped. Where possible, businesses may need to seek new hires to capture these specific capabilities, or undertake external training to help gain the skills and competencies to accelerate open data innovation. Open data use is virtually free, but this doesn’t guarantee innovations will be successful. SMEs need to invest in developing their skills and competencies, because innovative SMEs and startups are only as good as their team, and successful teams need to excel in catching and adopting open data.


The Open Data Institute (ODI) invites organisations in Transport and Mobility to the UK / France Transport Data workshop hosted at our London headquarters on Thursday, 15 February (09:00–17:30).

The workshop brings together stakeholders from transport authorities, startups and governments across both countries to discuss common challenges and the most promising areas for cross-country collaboration using transport data.

The workshop is part of the ODI’s data innovation programme and aims to enable the UK and France to share knowledge and pioneer new approaches to data innovation. The workshop will allow us to address key questions such as:

15–20 organisations will be represented. Organisations already confirmed include Transport for London (TfL), Department for Transport, Transfermuga, and OpenDataSoft.

For French participants, the ODI will cover the cost of transport and accommodation in Central London for the night before the workshop. For British participants, we will cover the cost of transport.

As well as addressing the challenges above, the workshop will provide a great opportunity to network in a relaxed setting with stakeholders in two world-leading markets for data innovation in Transport.

Places are limited and we recommend that you register your interest ASAP. We will confirm final participants on 26 January. [French version / Version française]

ODI workshop: Royaume Uni/France sur le thème des données de transport

L’Open Data Institute (ODI) invite les entreprises et organisations actives dans le secteur des transports et de la mobilité à participer à notre ‘UK / France Transport Data Workshop’ organisé à Londres le jeudi 15 février (de 9h00 à 17h30). Le workshop rassemblera des organisations du secteur afin de discuter des défis communs et des domaines les plus prometteurs pour une collaboration transnationale avec les données de transport.

Le workshop fait partie du programme data innovation de l’ODI et a pour objectif de permettre au Royaume-Uni et à la France de partager leurs connaissances, et d’adopter de nouvelles approches en matière d’open data et d’open innovation. Le workshop abordera des questions clés telles que:

15 à 20 organisations seront représentées. Les organisations déjà confirmées incluent Transport for London (TfL), Department for Transport, Transfermuga et OpenDataSoft.

Pour les participants venant de France, l’ODI remboursera les frais de transport et d’hébergement dans le centre de Londres. Les places sont limitées et nous vous recommandons Tumi Alpha Bravo Mccoy Gym Duffel Bag Black k3AfO832QQ
dès que possible. Nous confirmerons les participants finaux le 26 janvier.

By David Beardmore, Helen Desmond and Peter Wells

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