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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

  • Energy Research
  • 2016-2025
  • Research Council of Finland

  • Funder: Research Council of Finland Project Code: 271149
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  • Funder: Research Council of Finland Project Code: 334205
    Funder Contribution: 438,874 EUR

    This project studies the dynamic response characteristic of the thermal energy storage (TES) coupled with the district heating network (DHN) and the innovative active control technology for the indoor thermal comfort with efficient load matching. Therefore, this study will develop a more accurate spatiotemporal dynamic simulation model for the TES-DHN emphasizing the thermal inertia and time-delay properties. The research will also develop an active control technology and optimization tool from the viewpoint of system design and operation to match the heat supply and demand more accurately. Moreover, reasonable experimental tests and case studies will also be designed and implemented to validate the developed methods and to disseminate research outcomes. Overall, this project will contribute new scientific findings and efficient engineering tools for active load matching in order to further improve energy efficiency and reduce CO2 emissions while improving the indoor thermal comfort.

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  • Funder: Research Council of Finland Project Code: 269679
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  • Funder: Research Council of Finland Project Code: 332191
    Funder Contribution: 279,962 EUR
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  • Funder: Research Council of Finland Project Code: 284529
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  • Funder: Research Council of Finland Project Code: 332189
    Funder Contribution: 279,982 EUR

    SusHydro project aims to create interdisciplinary guidelines for sustainable governance of the existing hydropower system in Finland. It integrates the ecological, economic, and social pillars of sustainability in its approach. The project is based on the mitigation hierarchy and adaptive governance theory. We argue that ecological, economical and societal circumstances surrounding hydropower have changed substantially over the recent decades, but its governance has largely remained the same due to, for example, the strong permanence of hydropower permits and inadequate knowledge on river ecosystems. Our research provides footsteps for regoverning the industry towards sustainable transformation. By conducting and combining state-of-the art legal and economic research and new methods for studying river ecology this project is uniquely positioned to resolve the conflict between the current governance of hydropower and sustainability.

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  • Funder: Research Council of Finland Project Code: 269468
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  • Funder: Research Council of Finland Project Code: 284536
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  • Funder: Research Council of Finland Project Code: 334532
    Funder Contribution: 449,609 EUR

    It has long been a dream to use the energy from the sun to generate enough electricity for everybody on earth. Novel hybrid perovskite solar cell materials are bringing us closer to this dream with record solar-energy-to-electricity conversion efficiencies at an affordable price. However, their widespread commercial application is impeded by their toxicity and lack of stability in moist environments. In LearnSolar, I will develop a machine-learning based materials design approach to find more stable and environmentally friendly perovskite materials. Machine learning enables me to search for promising materials in the materials space of perovskite alloys, that is too vast for human exploration. The newly designed materials will be integrated into solar cells by collaborators. Once the right materials have been discovered, cheap solar cells can be manufactured and deployed anywhere in the world to deliver a sustainable future and equal prospects for wellbeing.

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  • Funder: Research Council of Finland Project Code: 332190
    Funder Contribution: 279,942 EUR
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.
19 Projects
  • Funder: Research Council of Finland Project Code: 271149
    more_vert
  • Funder: Research Council of Finland Project Code: 334205
    Funder Contribution: 438,874 EUR

    This project studies the dynamic response characteristic of the thermal energy storage (TES) coupled with the district heating network (DHN) and the innovative active control technology for the indoor thermal comfort with efficient load matching. Therefore, this study will develop a more accurate spatiotemporal dynamic simulation model for the TES-DHN emphasizing the thermal inertia and time-delay properties. The research will also develop an active control technology and optimization tool from the viewpoint of system design and operation to match the heat supply and demand more accurately. Moreover, reasonable experimental tests and case studies will also be designed and implemented to validate the developed methods and to disseminate research outcomes. Overall, this project will contribute new scientific findings and efficient engineering tools for active load matching in order to further improve energy efficiency and reduce CO2 emissions while improving the indoor thermal comfort.

    more_vert
  • Funder: Research Council of Finland Project Code: 269679
    more_vert
  • Funder: Research Council of Finland Project Code: 332191
    Funder Contribution: 279,962 EUR
    more_vert
  • Funder: Research Council of Finland Project Code: 284529
    more_vert
  • Funder: Research Council of Finland Project Code: 332189
    Funder Contribution: 279,982 EUR

    SusHydro project aims to create interdisciplinary guidelines for sustainable governance of the existing hydropower system in Finland. It integrates the ecological, economic, and social pillars of sustainability in its approach. The project is based on the mitigation hierarchy and adaptive governance theory. We argue that ecological, economical and societal circumstances surrounding hydropower have changed substantially over the recent decades, but its governance has largely remained the same due to, for example, the strong permanence of hydropower permits and inadequate knowledge on river ecosystems. Our research provides footsteps for regoverning the industry towards sustainable transformation. By conducting and combining state-of-the art legal and economic research and new methods for studying river ecology this project is uniquely positioned to resolve the conflict between the current governance of hydropower and sustainability.

    more_vert
  • Funder: Research Council of Finland Project Code: 269468
    more_vert
  • Funder: Research Council of Finland Project Code: 284536
    more_vert
  • Funder: Research Council of Finland Project Code: 334532
    Funder Contribution: 449,609 EUR

    It has long been a dream to use the energy from the sun to generate enough electricity for everybody on earth. Novel hybrid perovskite solar cell materials are bringing us closer to this dream with record solar-energy-to-electricity conversion efficiencies at an affordable price. However, their widespread commercial application is impeded by their toxicity and lack of stability in moist environments. In LearnSolar, I will develop a machine-learning based materials design approach to find more stable and environmentally friendly perovskite materials. Machine learning enables me to search for promising materials in the materials space of perovskite alloys, that is too vast for human exploration. The newly designed materials will be integrated into solar cells by collaborators. Once the right materials have been discovered, cheap solar cells can be manufactured and deployed anywhere in the world to deliver a sustainable future and equal prospects for wellbeing.

    more_vert
  • Funder: Research Council of Finland Project Code: 332190
    Funder Contribution: 279,942 EUR
    more_vert