{"id":8135,"date":"2024-01-22T15:58:11","date_gmt":"2024-01-22T15:58:11","guid":{"rendered":"https:\/\/weareoakland.com\/?post_type=case_studies&p=8135"},"modified":"2026-01-09T09:34:07","modified_gmt":"2026-01-09T09:34:07","slug":"yorkshire-water-bio-waste-modelling","status":"publish","type":"case_studies","link":"https:\/\/weareoakland.com\/case-studies\/yorkshire-water-bio-waste-modelling\/","title":{"rendered":"Yorkshire Water Bio-Waste Modelling"},"content":{"rendered":"\n
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The Challenge\n<\/h2>

A core component of water management is the treatment of wastewater and its by-products, colloquially known as sludge. To do this effectively, the Yorkshire Water wastewater team required a bio-waste water solution that could distil a complex network of sites and production data into a minimum cost treatment schedule, allowing them to plan the sludge management process more efficiently.<\/p>\n

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Alongside this, the end-users wanted a solution that they could \u2018tweak\u2019 and re-run, either to incorporate recent site changes\/impacts or plan for potential operational scenarios. And at the same time, Yorkshire Water wanted to achieve an outcome with minimal OPEX expenditure.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/section>\n\n\n\n

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How We Did It<\/h2>\n
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Following an initial MVP to prove our solution\u2019s technical capability, we collaborated with Italik, the end-users, and data science and IT teams to expand this into a production-level solution. This ensured we could bring together open source technologies, an Azure-based architecture, and graph-based modelling techniques to create a deployed solution in around four months.<\/p>\n

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The project also coincided with the start of the first National lock-down, so we were unable to meet the client team or business sponsor face-to-face or visit the site. Despite operating remotely in this far from ideal scenario, we worked effectively with the Yorkshire Water teams to deliver the project to schedule.<\/p>\n<\/div>\n<\/div>\n

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The Outcome<\/h2>\n\n\n\n