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Outputs & Results

Check the process, impact and outcomes of the HYBES project.

Main outputs

The main outputs of HYBES project are use of the Quadruple Helix approach and the Living Lab concept to develop and implement innovative actions that facilitate decarbonisation and advance carbon neutrality goals in each partner region. The project results are developing policies and solutions that enable this shift to decarbonisation within defined districts, as well as proactively encouraging and facilitating behaviour change with stakeholders and local communities to further climate change adaptation and promote energy efficiency.

Deliverables and Results

Download our rapports, deliverables, guides etc.

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D1.1.1 Joint Action Plan For The HYBES Project (1)

Joint Action Plan for the HYBES project, provides an overview of the national, regional, and local policies, plans and legislation in place in each of the HYBES partner regions (Ireland, Norway, Sweden, Iceland and the Faroe Islands), creating a roadmap to maximise the potential of the quadruple helix actors in facilitating decarbonisation across the NPA region. The deliverable then outlines a Joint Action Plan (JAP) for the HYBES project.

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D1.3.1 Living Labs Model As A Tool To Facilitate Behavioural Change For Decarbonisation (1)

The Living Lab is an essential component of HYBES as it sets the overall tone for engagement and capacity building as a means of delivering designated Decarbonisation Zones in rural and peripheral locations across the partner regions with a strong focus on enabling citizen engagement and capacity building to engage actors across the Quadruple Helix (public, government, business and academia).

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D141 Report On Stakeholder Workshops Ans Key Recommendations For Policy (1)

This report provides details on the in-practice insights from partner regions experience of the initial phase of work to deliver stakeholder workshops. It captures the existing arrangements of the regions - creating a baseline current state view for realising research, learning and innovation in an open innovation (OI) ecosystem and with reference to the 3-layer local Living Lab Model outlined in the HYBES Report ‘Living Labs Model as a Tool to Facilitate Behavioural Change for Decarbonisation’ (D1.3.1).

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BEST PRACTICE TOOLS HOUSEHOLD LEVEL

UNLOCKING DECARBONIZATION: HOUSEHOLD LEVEL

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BEST PRACTICE TOOLS Property Level

UNLOCKING DECARBONIZATION: PROPERTY GROUP LEVEL

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MANUAL BEST PRACTICE TOOLS Strategic Level

UNLOCKING DECARBONIZATION: STRATEGIC AREAS / MUNICIPAL LEVEL

Publications

Archetypes-based calibration for urban building energy modelling

Reducing energy use within the building sector is vital to create sustainable cities and mitigate global warming. Urban building energy modelling (UBEM) is useful to evaluate energy demand and renovation potential in districts. In this paper, an archetypes-based calibration approach for UBEM is introduced to evaluate the effect of various timescales for energy data and detail of building-related data on the energy performance of multi-residential buildings. A case district in northern Sweden was used to identify the impact of various refurbishment strategies at district-scale.
The applicability of the archetypes-based calibration approach was validated by comparing the district model performance with high-resolution energy data. Calibrating the archetypes-based model with monthly resolution data showed a similar outcome as using higher-resolution data. Further, a district model with less archetypes can reduce modelling time and complexity, while performing similarly as a model consisting of more archetypes with higher detail. The results suggest that simplifications to UBEM can be used without compromising the performance accuracy and might facilitate district modelling in situations with data limitations.
The findings in this study contribute to the knowledge on UBEM of existing districts and energy efficiency measures’ impact on district-level energy performance.

Highlights

  • Archetypes-based calibration was used to create a district energy model.
  • Calibration with low-resolution energy data can be sufficient for building modelling.
  • Choosing appropriate time periods for calibration can benefit the process.
  • Simpler archetype-based models provide results similar to a more detailed model.