Voor u ligt de eindrapportage van het project Transforming Regions dat binnen het zogenaamde ESTRAC-project is uitgevoerd. ESTRAC staat voor Energy Transition Centre, een langlopend (2017-2021) publiek-private samenwerking tussen Rijksuniversiteit Groningen, Hanzehogeschool Groningen, TNO, New Energy Coalition (penvoerder) en (financierende) partners provincie Groningen, NAM, EBN, Gasunie en Gasterra. Doel van dit Transforming Regions onderzoek was om vanuit verschillende sectoren - industrie en gebouwde omgeving - kennis te ontwikkelen voor het terugdringen van de CO₂ uitstoot en het verduurzamen van onze samenleving op lokaal en regionaal niveau. Dit rapport gaat over het de gebouwde omgeving en richt zich met name op het ontwikkelen van benaderingen die de besluitvorming voor belanghebbenden ten aanzien van het lokale en regionale energiesysteem ondersteunen. Voor Transforming Regions verschijnt ook een rapport over de industrie.
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
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
The textile industry faces a significant environmental challenge, annually generating 45 million tons of waste cotton textiles, of which 75% are incinerated or sent to landfills, causing environmental harm. Additionally, 67% of garments are made of plastic fibers, and when disposed of in landfills, 5% of them turn into microplastics that can end up on our plates. Chicfashic proposes an innovative biotech process to address these issues by recovering and recycling plastic fibers while transforming natural fibers into bio-based molecules. These molecules are then used as secondary raw materials to produce bio-based pigments for textiles. The project aims to optimize this process and test it on a larger scale with the assistance of HAN BioCentre. This initiative aligns with Dutch government and EU regulations mandating textile recycling by 2050. The technology used is patent pending and does not involve the use of toxic chemicals or the release of harmful wastewater or fumes, contributing to a shift towards a more circular and sustainable textile industry by reintegrating natural colorants into textile production.
