Enevo Waste Analytics Blog

June 27, 2016

Enevo helps Edinburgh win APSE UK award in Scotland

Enevo helps Edinburgh win APSE UK award in Scotland

The City of Edinburgh in Scotland is another Enevo customer who has sought to find out if smart technology could help them become more efficient in how they manage waste.

Andrew Macleod, the Project Officer responsible for deploying and assessing the Enevo technology recently won an APSE Rising Stars Award at the organisation’s Aviemore event in Scotland for his pilot project with Enevo and so we wanted to share some of the learnings Andrew and his team in Edinburgh uncovered in trialling smart technology from Enevo.

Parks Grounds Gold Winner- Andrew MacLeod City of EdinburghAndrew began by explaining that budget cuts had already led to staff losses and that he and his colleagues had identified technology as potentially providing efficiencies they needed to combat the impact of the cuts. They felt that technology could help them adapt to a difficult financial environment that’s also further compounded by a growing urban population.

Edinburgh also wanted to know if technology could help improve the standard of service they could provide their community in a challenging environment and demonstrate greater transparency,  opening up the possibility for the public to see and understand how waste services are provided for them.

When asked what insights to Street Cleansing operations Edinburgh hoped working with Enevo would bring, Andrew told us that they wanted to know if using and gather data would help identify inefficiencies in their collection of bins and routes. The data gathered during the trial gave greater insight into exactly how operational crews carry out the emptying on litter bins, which in turn helped uncover inefficiencies that led to larger than necessary fuel consumption and too much time being spent on tasks.

Historically collection routes had been paper based and because of the size of routes, the same bin could feasibly be collected on multiple days. Staff also used intuition and memory on fill levels and when to empty bins. This in some cases had led to overflowing bins and complaints from the public. Prior to the trial Andrew had conducted a detailed audit of a section of the city and found big gaps between what staff thought and the reality.

Following on we asked Andrew what insight to daily operations has the Enevo solution provided Edinburgh with. Andrew told us that the simple fact that they now received hourly fill levels was significant. By harnessing this data they’d seen that they could reduce collections by 80% or more. Staff no longer waste time, fuel and energy emptying half full bins as only those bins that need emptying are collected. The data had also helped the Council rationalise bin locations by moving more bins to the areas which needed them and reducing the number where waste levels were lower.

The big reduction in the number of collections required additionally enabled Andrew to use staff more efficiently. For example, less collections gave more time back for street cleansing. During the trial, Andrew’s team didn’t receive a single complaint about overflowing bins either as these were eliminated by the Enevo solution.

As Edinburgh move forwards they also anticipate further fuels savings and time efficiencies being realised as they shift to smart plans, produced via our big data analytics platform. Smart Plans will analyse the fill data from every bin, assess these versus historic fill patterns and create each day’s collection route, downloaded to a Sat Nav app on a tablet. Waste vehicle will follow the collection plan that has been optimised to visit only those bins that need emptying via a route with the minimum vehicle operating costs and environmental impact.

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