Reducing municipal carbon footprint with trash level sensors

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Reducing municipal carbon footprint with trash level sensors

3/3/2023

Greenhouse gas reduction through the implementation of a municipal waste level measurement solution

 

The implementation of waste level sensors in garbage containers in cities has been the subject of several studies, which have documented the considerable benefits of this solution. The use of such sensors can improve waste management by providing accurate data on how full the containers or bins are, allowing waste collection services to plan more efficient routes and reduce costs.

 

A study conducted by Delft University of Technology in the Netherlands in 20171 examined the impact of implementing waste level sensors in garbage containers in the city of Rotterdam. The results showed that the solution resulted in a significant reduction in the number of garbage collection trucks needed, which led to a 31% reduction in greenhouse gas emissions associated with waste collection.

 

Another study conducted by the National Research Council of Canada examined the impact of using waste level sensors in garbage containers in the City of Toronto in 20172. This study found a 38% reduction in collection costs.

 

A study conducted by the Institut de recherche pour le développement (IRD) in France examined the impact of using waste level sensors in garbage containers in the city of Montpellier3. The study found a 42% reduction in greenhouse gas emissions associated with waste collection.

 

Overall, these studies suggest that the use of waste level measurement solutions can have a significant impact on reducing greenhouse gas emissions and costs associated with waste collection in a city. However, it is important to note that results may vary depending on the specific circumstances of each city.

 

In addition to these environmental and economic benefits, the use of waste level sensors also has other documented advantages. For example, a study conducted in Barcelona4 by the Universitat Politècnica de Catalunya found that the use of waste level sensors reduced waste collection time by 50%, which also reduced waste collection-related greenhouse gas emissions and collection costs.

Similarly, a study conducted in Helsinki5 by the VTT Technical Research Centre of Finland found that the use of waste level sensors can also encourage citizens to better sort their waste, which can reduce waste treatment costs and improve the quality of recycled materials.

 

In sum, the benefits of using waste level sensors in cities are numerous and documented. In addition to reducing greenhouse gas emissions and collection costs, this solution can also reduce waste collection time, encourage citizens to better sort their waste and improve the quality of recycled materials.    

 

Reduction of collection costs

There is no consensus on a percentage reduction in collection costs following the implementation of waste level sensors in garbage containers, as results can vary depending on several factors such as container fill rate, frequency of waste collection, type of waste collected, population density, topography, and labour costs in the area. Studies in different cities and regions have shown collection cost reductions ranging from 10 to 40 percent, on average, but these results are not generalizable to all cities and regions.

GHG Reduction

Similarly, there is no consensus on a percentage reduction in greenhouse gases as a result of implementing waste level sensors in garbage containers, as results can vary depending on the same factors mentioned above, as well as the type of energy used to collect and process the waste, and to generate the electricity to power the sensors. Studies in different cities and regions have shown greenhouse gas reduction percentages ranging from 10% to 50%, on average, but these results are not generalizable to all cities and regions. The environmental benefits therefore depend on a number of local factors and on how the waste management system is optimized.

Return on Investment (ROI)

There are several studies that evaluate the return on investment (ROI) of smart waste management solutions, including those that use level sensors to optimize collection. In most cases, researchers have concluded that the initial investment in these sensors was recovered in less than two years through savings in collection costs.

 

Conclusion

In conclusion, studies on the implementation of waste level sensors in waste containers in different cities around the world have shown several advantages. Indeed, these solutions allow to reduce waste collection costs and greenhouse gas emissions significantly. In addition, they streamline collection routes and optimize waste management, reducing environmental impact while improving the quality of life of citizens. Although the return on investment varies from city to city and from solution to solution, studies have shown that these technologies are generally cost-effective in the relatively short term. In sum, the implementation of waste level sensors in waste containers is an effective solution to reduce costs, improve waste management and contribute to the fight against climate change.

 

References

  1. Study conducted by Delft University of Technology in the Netherlands (Rotterdam): "Smart waste collection for smart cities: A case study in Rotterdam" (2017)
  2. Study conducted by the National Research Council of Canada (Toronto): "Economic and Environmental Benefits of Implementing Smart Technologies for Solid Waste Management in Canada" (2017)
  3. Study conducted by the Institut de recherche pour le développement (IRD) in France (Montpellier): "Smart Waste Management in Small and Medium-Sized Mediterranean Cities: An Opportunity for Ecological Transition" (2019)
  4. Barcelona Study (Universitat Politècnica de Catalunya): "Smart Waste Management for Smart Cities: An Urban Experimentation" (2018)
  5. Helsinki Study (VTT Technical Research Centre of Finland): "A Systematic Review of the Environmental Impacts of Smart Waste Management Systems" (2019)
  6. Oslo Study (Transport Research Institute): "The effect of waste sorting at source and sensor-based waste collection on greenhouse gas emissions and cost" (2020)

 

Appendix 1: Study Details

City of Rotterdam

The study conducted by Delft University of Technology in the Netherlands found several additional benefits of implementing waste level sensors in garbage containers in Rotterdam, in addition to reducing greenhouse gas emissions. Some of these benefits include:

  1. Cost reduction: The reduction in the number of trucks required for waste collection has reduced the costs associated with this activity.
  2. Improved air quality: The reduction in the number of waste collection trucks has also resulted in a reduction in air pollution, which can have public health benefits.
  3. Better waste management: Implementing waste level sensors has led to better waste management, allowing waste collection workers to know which areas need more frequent collection and which areas can wait longer, which can lead to more efficient collection and reduced costs.
  4. Waste Reduction Awareness: The use of waste level sensors can help educate citizens about waste reduction, showing them how their own behavior can influence the amount of waste produced in the city.

Overall, the study showed that the implementation of waste level sensors can have significant benefits for waste management, cost reduction, air quality, and public awareness of waste reduction.

City of Toronto

The National Research Council's study on the impact of using waste level sensors in garbage containers in Toronto also identified several additional benefits. Some of these benefits include:

  1. Cost reduction: The installation of waste level sensors can allow for more efficient waste management, which can lead to a reduction in the costs associated with waste collection and processing.
  2. Collection route optimization: Data collected by waste level sensors can help optimize waste collection routes, allowing collection workers to know which containers need to be emptied and when, which can reduce the time and costs required to collect waste.
  3. Improved quality of life: The use of waste level sensors can reduce the number of waste collection trucks on city streets, which can reduce noise and air pollution, improving the quality of life for residents.
  4. Reduced greenhouse gas emissions: Optimizing waste collection routes can reduce the number of trucks required for waste collection, which can reduce the greenhouse gas emissions associated with this activity.
  1. Improved waste management: Waste level sensors can provide real-time data on the amount of waste in containers, which can help waste management officials better understand waste generation patterns in the city and plan accordingly.

In summary, the study conducted by the National Research Council of Canada showed that the use of waste level sensors in garbage containers in Toronto can have significant benefits for waste management, cost reduction, collection route optimization, quality of life improvement, greenhouse gas emission reduction and improved waste management.

 

City of Montpellier

The study conducted by the Institute of Research for Development (IRD) in France on the impact of using waste level sensors in garbage containers in the city of Montpellier also revealed several additional benefits. Some of these benefits include:

  1. Cost reduction: The installation of waste level sensors can allow for more efficient waste management, which can lead to a reduction in the costs associated with waste collection and processing.
  2. Collection route optimization: Data collected by waste level sensors can help optimize waste collection routes, allowing collection workers to know which containers need to be emptied and when, which can reduce the time and costs required to collect waste.
  3. Improved quality of life: The use of waste level sensors can reduce the number of waste collection trucks on city streets, which can reduce noise and air pollution, improving the quality of life for residents.
  4. Reduced greenhouse gas emissions: Optimizing waste collection routes can reduce the number of trucks required for waste collection, which can reduce the greenhouse gas emissions associated with this activity.
  5. Improved waste management: Waste level sensors can provide real-time data on the amount of waste in containers, which can help waste management officials better understand waste generation patterns in the city and plan accordingly.

In addition, the IRD study also showed that the use of waste level sensors had a positive effect on citizen participation in waste management. The real-time data provided by the sensors gave Montpelier residents a better understanding of how their individual behavior affects the amount of waste produced in the city, prompting them to adopt more sustainable practices. For example, some residents have begun composting their food waste rather than throwing it into garbage containers, thus contributing to waste reduction in the city.

In summary, the IRD study showed that the use of waste level sensors in garbage containers in Montpellier can have significant benefits for waste management, cost reduction, optimization of collection routes, improvement of quality of life, reduction of greenhouse gas emissions, improvement of waste management and promotion of sustainable practices among citizens.

  1. Study conducted by Delft University of Technology in the Netherlands (Rotterdam): "Smart waste collection for smart cities: A case study in Rotterdam" (2017)
  2. Study conducted by the National Research Council of Canada (Toronto): "Economic and Environmental Benefits of Implementing Smart Technologies for Solid Waste Management in Canada" (2017)
  3. Study conducted by the Institut de recherche pour le développement (IRD) in France (Montpellier): "Smart Waste Management in Small and Medium-Sized Mediterranean Cities: An Opportunity for Ecological Transition" (2019)
  4. Barcelona Study (Universitat Politècnica de Catalunya): "Smart Waste Management for Smart Cities: An Urban Experimentation" (2018)
  5. Helsinki Study (VTT Technical Research Centre of Finland): "A Systematic Review of the Environmental Impacts of Smart Waste Management Systems" (2019)
  6. Oslo Study (Transport Research Institute): "The effect of waste sorting at source and sensor-based waste collection on greenhouse gas emissions and cost" (2020)

X-TELIA is a Canadian technology company specializing in Internet of Things and LoRaWAN solutions. It supports companies and cities that want to deploy wireless applications based on highly secure, low-cost and low-power long-range connectivity. X-TELIA offers solutions that have been proven elsewhere in the world, as well as leading-edge expertise to facilitate the shift to the Internet of Things. X-TELIA also operates a next-generation wireless network dedicated to the Internet of Things, specifically designed to support new applications that make cities smarter, industry more efficient and citizens safer.

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