Starting Date: 01/09/2022

Budget: 0.5 M €

Coordinator: Vestel Electronics (TR)

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Project MARBLE’s objective is the fabrication of a 150 W portable device based on microtubular solid oxide fuel cells (mT-SOFCs) prepared by Powder Extrusion and dip coating, powered with LPG as fuel. The final goal is the achievement of a prototype of an electrical generator able to substitute current technology adding more portability, autonomy and efficiency to existing systems.

The development of a novel portable product will help the EU ambitious goals to ensure the future energy supply and drastically decrease the greenhouse gas emissions by 2050. One strength of this proposal is that the consortium has competence to address the solution of the problems that still prevent commercialization of these devices. Implementing this technology in portable systems can be considered a breakthrough over conventional systems in decreasing the environmental footprint associated to the use of energy devices in outdoors activities.


Starting Date: 01/03/2023

Budget: 3 M €

Coordinator: IGDAS (TR)

The AISMeCoT project aims to deliver a unified infrastructure where data is collected from smart meters of utility companies to propose energy-efficient services. The remote management of the meters allows companies to reduce the personnel and service vehicles on the field and also to have real-time readings to propose solutions for load profiling, fraud detection, demand forecasting, and predictive maintenance. Scenarios are: 1-To promote the energy consumption, incentives will be offered through an energy portal where the users can track their energy usage. 2-The unauthorized energy usage will also be reduced after the identification of fraud cases using AI. 3-Historical data of electric microgrid infrastructures will be analyzed to understand the consumption patterns. 4-Developing an effective AI-based predictive maintenance solution for optimum maintenance of the infrastructure 5-Urgent cut-off natural gas usage in catastrophic cases.


Starting Date: 25/07/2023

Budget: 2.2 M €


The increasing harmful emissions have finally created an almost inevitable natural deterioration. It is obvious that transition into a green energy ecosystem is necessary in order to stop the natural devastation. Green hydrogen will be a critical enabler for the global transition to sustainable energy and net zero emissions. Also, as a hydrogen carrier, ammonia will play a significant role in the new hydrogen ecosystem. Currently, ammonia production causes almost 11% of global industrial carbon dioxide emissions, and 1.8% of global emissions. Producing green ammonia is likely to be put in perspective as it is chosen as one of the most innovative and emerging technology trends in 2021 by World Economic Forum. Therefore, green ammonia production from green hydrogen is vital for sustainability of our world. Hence, we have formulated our strategy in order to develop green hydrogen, which is produced by electrolysis using green electricity produced from sun. In this project; a pilot scale green ammonia production site will be established and also a simulation of this site will be generated. In order to increase the innovative eligibility of this 4D Hydrogen project, a Smart Controlling Platform that will congregate all the data from the site will be developped; and also carbon trace will be calculated.


Starting Date: 18/05/2023

Budget: 2.4 M €

Coordinator: BYS Group (TR)

The sustainability of cities can be achieved by examining many components such as social, artistic, technical dimensions as well as transportation, infrastructure and environmental problems as a whole. For this reason, 3D models can be modelled not only for visualization purposes, but also to contain geometric and semantic information in a way that allows impact analysis. From this point of view, the evaluation of the solar energy potential in the urban environment presented within the scope of FoSSIS3 will be an important predictive tool in terms of analysis and policy decisions regarding renewable energy distribution in cities. Ensuring sustainability and the widespread use of technology-supported solutions in cities by developing in an international context will provide an important infrastructural framework that reduces the use of fossil fuels in the construction sector and will create less waste in existing or newly designed buildings.

Related statistics show that the construction sector consumes approximately 40% of the world’s energy resources and emits approximately 1/3 of greenhouse gas emissions (UNEP, 2015). Based on this knowledge, it is indispensable to implement effective and proactive strategies in this sector, to achieve the imposed CO2 emission reduction targets. However, urban energy planners need useful tools to help them make decisions regarding urban energy planning, as the energy consumption of buildings depends on many intertwined factors such as weather conditions, users’ behaviour and the characteristics of buildings. The general purpose of these tools being;

– Identifying potential areas requiring improvement,

– Conducting conformity analysis for the projects to be invested,

– Choosing the right and most effective strategy (strengthening, technology upgrading, reconstruction, demolition, raising awareness of users, etc.) according to each scenario,

– Determining the degree of change in energy consumption after certain measures are applied,

– Estimating the current solar energy potential of buildings,

– Estimating the future solar energy potential of buildings.

For these reasons, the importance of developing energy estimation and analysis approaches to support physical improvement strategies in the building sector has increased considerably in recent years. Each approach not only addresses specific problems, but also has the scale of frequent intervention (micro or macro) and a certain applicability in the building lifecycle.


Starting Date: 01/05/2023

Budget: 1.4 M €

Coordinator: KEAS (TR)

It is known that 40% of the world’s raw material is used in the construction sector and 50% of the CO2released into the atmosphere comes from concrete and steel. Therefore, green buildings, whose most important focus is on sustainability and reducing energy consumption, are seen as one of the best solutions to reduce the pressure of the construction industry on climate change and the environment. Due to its focus, green buildings require the use of renewable natural resources, which reduce carbon and energy emissions and consume less energy for the operation of buildings, instead of traditional building materials used in the construction industry. In line with this need of green buildings, the MoreWood project aims to obtain wood and agrofiber-based insulation boards, which stand out with their lightness, workability and mechanical properties, as well as being bio-based, is recommended.In this project our main goal is to provide low emission, energy saving buildings with replacing more elements with more wood.


Starting Date: 06/10/2023

Budget: 3.8 M €

Coordinator: Luleå University of Technology (SE)

Lifecycle of modern physical production systems could last up to 30 years in sectors like aerospace, automotive and railway industries. During this lifecycle, large amounts of energy and economical resources are consumed, right from production to actual use, maintenance, and ultimate disposal. One major decision for industries concern: when does it make an economic and environmental sense to replace an equipment? A data-driven, scientifically justified and environmentally friendly equipment replacement decision will reduce the total ownership cost of such expensive production machineries and increase the equipment dependability. Such decision is driven by collection of relevant and available data, including resource consumption rates, quality degradation rates, installation, and operating cost, just to name a few. Since the crucial decision of lifecycle optimization of expensive machineries depend on high-quality of gathered cost and sustainability-related data, any data errors will have negative financial impacts, reduction in cash flow and increased operating costs. Thus, minimizing the total ownership costs of production machineries and improving the quality of collected data is extremely attractive for ICT-enabled, green, and sustainable industry. The first objective of NRPCES is to develop an ICT-enabled, data-driven decision-support tool to enable the industry to consider sustainability factors to optimize lifetime of their production machineries, resulting in minimizing the total cost of ownership as well as being environmentally friendly. The second objective is real time trend monitoring of carbon footprint of production plant considering the whole supply chain and its associated cost-CO2e conversion. This will facilitate the move from linear to circular economy, consumption with more effective use of the resources and help SMEs and large enterprises to adopt new regulatory requirements to reduce carbon-footprint, resulting in a more sustainable industry. The project will be implemented on the following use cases: production equipment of raw materials, full aluminium machining equipment in aerospace industry, injection melding machines in plastic production industry, and switches & crossing in railways. The scientific challenge in NRPCES is to develop a data-driven and scientifically justified decision support tool for general use across use case providers that successfully predicts the optimal replacement time of assets as function of cost and sustainability inputs. The project will result in new knowledge transfer and capabilities to improve products, processes, or services, since the developed new decision support tool can be a future product, and since the manufacturing companies of the studied use cases machineries have very good opportunities to improve their product so that they will be more reliable and cost effective. The proposed NRPCES project is innovative in three ways: (1) Development of ICT-enabled, data-driven, decision-support system that implements a practical economic replacement time model based on high-quality, real cost data and environmental parameters. (2)Live monitoring of carbon foot-print emission of production machineries to assess sustainability KPIs and fulfilling regulatory requirements. (3)Support the long-term transformation from linear to circular economy and more sustainable use of resources. The new collaboration between different Universities in Sweden, research institute in Belgium as well as industry partners from Turkey, Sweden, Belgium, and Singapore ensures the multidisciplinary expertise for the project. The research team from academia and industry partners of truly highly professional cross science nature will consist of senior researchers specialized in reliability, maintenance modelling, mathematical optimization, sustainability, and circular economy. Since the project is aiming to develop innovative tool for any type of machines, the project will be an enabler for increased innovation and for supporting the development of new innovations logics for competitiveness of the industry in general.

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