From the article: Blockchain technology may have the potential to fundamentally change society and we might currently witness the dawn of a cryptographically secured trust-free transactions economy. One relatively unexplored application domain is waste management. Incorrect waste management practices may lead to illegal pollution or enable fraudulent transactions. Using a design science approach, we formulate problem areas and evaluate the applicableness of using a blockchain solution to mitigate the problems identified. Our results indicate that it is important that the organization and its infrastructure is prepared for the use of blockchain. There are several conditional challenges that must be overcome to realize blockchain technology’s full potential. Further research is needed in order to grasp a full understanding about the situations in which blockchain technology is beneficial or not.
MULTIFILE
In this masterclass, Suzanne Klein-Gebbink, program manager of Circular Living Lab Food Valley and Lector Eric de Bruin from Aeres explain about food waste in practice: when is food wasted, why we should reduce it and how value can be created from food waste using the ladder of Lansink, which shows the value hierarchy of what we can do with food waste. Together Eric and Suzanne show examples of projects that look at different ways of creating value from food waste.
LINK
This research contributes to understanding and shaping systems for OFMSW separation at urban Small and Medium Enterprises (SMEs, such as offices, shops and service providers). Separating SMEs’ organic fraction of municipal solid waste (OFMSW) is both an opportunity and a serious challenge for the transition towards circular cities. It is an opportunity because OFMSW represents approximately 40% of the total waste mass generated by these companies. It is challenging because post-collection separation is not feasible for OFMSW. Therefore, SMEs disposing of waste should separate their solid waste so that processing the organic fraction for reuse and recycling is practical and attainable. However, these companies do not experience direct advantages from the extra efforts in separating waste, and much of the OFMSW ends up in landfills, often resulting in unnecessary GHG emissions. Therefore, governments and waste processors are looking for ways to improve the OFMSW separation degree by urban companies disposing of waste through policies for behaviour change.There are multiple types of personnel at companies disposing of waste. These co-workers act according to their values, beliefs and norms. They adapt their behaviour continuously, influenced by the physical environment, events over time and self-evaluation of their actions. Therefore, waste separation at companies can be regarded as a Socio-Technical Complex Adaptive System (STCAS). Agent-based modelling and simulation are powerful methods to help understand STCAS. Consequently, we have created an agent-based model representing the evolution of behaviour regarding waste separation at companies in the urban environment. The model aims to show public and private stakeholders involved in solid waste collection, transport and processing to what extent behaviour change policies can shape the system towards desired waste separation degrees.We have co-created the model with participants utilising literature and empirical data from a case study on the transition of the waste collection system of a business park located at a former harbour area in Amsterdam, The Netherlands. First, a conceptual model of the system and the environment was set up through participatory workshops, surveys and interviews with stakeholders, domain experts and relevant actors. Together with our case participants, five policies that affect waste separation behaviour were included in the model. To model the behaviour of each company worker’s values, beliefs and norms during the separation and disposal of OFMSW, we have used the Value-Belief-Norm (VBN) Theory by Stern et al. (1999). We have collected data on waste collection behaviour and separation rates through interviews, workshops and a literature study to operationalise and validate the model.Simulation results show how combinations of behaviour profiles affect waste separation rates. Furthermore, findings show that single waste separation policies are often limitedly capable of changing the behaviour in the system. Rather, a combination of information and communication policies is needed to improve the separation of OFMSW, i.e., dissemination of a newsletter, providing personal feedback to the co-workers disposing of waste, and sharing information on the (improvement of) recycling rates.This study contributes to a better understanding of how policies can support co-workers’ pro-environmental behaviour for organic waste separation rates at SMEs. Thus, it shows policymakers how to stimulate the circular transition by actively engaging co-workers’ waste separation behaviour at SMEs. Future work will extend the model’s purpose by including households and policies supporting separating multiple waste types aimed at various R-strategies proposed by Potting et al. (2016).
MULTIFILE
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
In June 2016, two Dutch SME companies which are active in the area of urban solid waste management approached the International Environmental Sciences department of Avans about the current R&D activities on urban solid waste management in cooperation with the Federal University of Minas Gerais (UFMG) Brazil. The companies had interest in developing activities in Brazil, since they are aware of the great potential for exporting both knowledge and technology. Solid waste poses a major problem in Brazil which affects 200 million residents. The Brazilian municipalities collect around 71 million tons solid municipal waste on a yearly basis and only a tiny percentage of this collected waste gets recycled. As such. the overwhelming majority of the collected urban solid waste goes to landfills. Within the State of Minas Gerais there are 850 towns of which 600 have less than 20.000 residents and are agriculturally oriented. Current organic waste composting practices take place under very poor conditions (pathogens and weeds still remain in the compost) and most often the resulting compost product is not well received by its residential and agricultural consumers. As such there is huge room for improvement. The SME companies work with Avans and UFMG to address these challenges. The joint research team consisting of the two Dutch SME companies and the two Research and educational institutes have defined the following research question: What is the current status of organic solid waste management in Minas Gerais and how can cooperation between Brazil and the Netherlands result in a win-win for both countries? Two individual KIEM VANG proposals have been defined in order to address these challenges. The planned activities are a joint effort with professor R. T. de Vasconcelos Barros of the Universidade Federal de Minas Gerais (UFMG) and are executed within the Living Lab Biobased Brazil program (www.biobasedbrazil.org).
Circular BIOmass CAScade to 100% North Sea Region (NSR) economic activity and growth are mostly found in urban areas. Rural NSR regions experience population decline and negative economic growth. The BIOCAS project expects revitalizing and greening of rural areas go hand in hand. BIOCAS will develop rural areas of the NSR into smart specialized regions for integrated and local valorization of biomass. 13 Commercial running Bio-Cascade-Alliances (BCA’s) will be piloted, evaluated and actively shared in the involved regions. These proven concepts will accelerate adoption of high to low value bio-cascading technologies and businesses in rural regions. The project connects 18 regional initiatives around technologies, processes, businesses for the conversion of biomass streams. The initiatives collaborate in a thematic approach: Through engineering, value chain assessments, BCA’s building, partners tackle challenges that are shared by rural areas. I.e. unsustainable biomass use, a mineral surplus and soil degradation, deprivation of potentially valuable resources, and limited involvement of regional businesses and SMEs in existing bio-economy developments. The 18 partners are strongly embedded in regional settings, connected to many local partners. They will align stakeholders in BCA’s that would not have cooperated without BIOCAS interventions. Triple helix, science, business and governmental input will realize inclusive lasting bio cascade businesses, transforming costly waste to resources and viable business.Interreg IVB North Sea Region Programme: €378,520.00, fEC % 50.00%1/07/17 → 30/06/21
