The waste treatment market is changing. In France, a new legal context is added with the emergence of data processing tools and the efforts of ADEME to publish The growing French market for waste collection.
Regional waste prevention and management plans have modernized waste management by giving the regions and communes a central role. Through a decree published in June 2016, the NOTR law obliges them to build a unified plan for the
prevention and management of non-hazardous waste, construction waste and hazardous waste. Therefore, one can expect action in the sector and operational optimization at the regional level.
The Environment Magazine website states that regional waste prevention and management plans should include a complete inventory of waste streams, a six- and twelve-year forecast of observed trends in the amounts of waste produced in the territory, as well as in the demographic and economic developments.
What can big data do in the development of these plans?
The complexity involved in waste management and treatment makes data science a tool of choice. The considerable amount of information and data, as well as the requirements of projection and predictive analysis, make data processing a perfectly designed tool.
“Increasingly, the use of technological solutions in waste management will allow us to implement the BIG data to improve the efficiency of recycling processes, such as implementing measures for the conservation of the environment” says Grégory Labrousse, CEO from nam.R
In this way, new technologies that use data science are emerging as part of local experiments. Since 2014, the city of Manchester has established, in partnership with the university of the city, a new waste management model that involves the collection of data (through the installation of sensors) and the optimization of waste management
using the data collected.
In France, innovative ways to optimize collection in some communes are already being tested. The main objective is to connect garbage container sensors that control their fill level to activate garbage pickups at the right time. The algorithms can be used to calculate the optimal number of rounds, therefore, control the fuel consumption and the unnecessary use of trucks.
Some communes may also take into account environmental data in the broad sense of the term, which allows them to anticipate and adjust collections according to environmental changes (seasons, tourism, construction of new housing, etc.) in an area.
“The application and success of these local experiments are a step in favor of humanity and the awareness of it, evolving as a society adds Labrousse.
Open data and new business models
It is in the redevelopment phase where changes are taking place throughout the sector where we are seeing new intermediate players that specialize in data processing.
Companies such as Rubicon Global in the United States and Hesus in France are few of those data companies that have developed offer platforms where waste recovery companies compete with other companies to win a market. As a result, there is a 20% to 30% reduction in prices.
In Brazil, New Hope Ecotech connects polluters with waste collectors to reduce the waste treatment rate.
In France, Ademe and the organizations involved in waste treatment now obtain and make available the data. The Sinoe® website gives access to all departmental, regional and national indicators related to the collection and / or elimination of waste streams. The Inventory of Waste Management of the Ile-de-France Region (ORDIF) has also
published an interactive map with a list of public waste disposal facilities in the region.
For private data companies, all this information is important to create innovative services around the reduction of the costs of waste classification and treatment, the optimization of local waste management and the identification of future or illegal constructions.
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