Agriculture & Forestry
Soil Fertility
South Westphalia, DE
Policy Makers & Administrations
Science & Education

©️KNOWING project, 2026; all rights reserved. This content may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License.

The dataset is available for download on Zenodo: https://zenodo.org/communities/knowing/records

Please refer to the D5.5 Exploitation Plan for further information on exploitation concepts for the demonstrators from the KNOWING project.

Reach out to the modelling team contacting the AIT Austrian Institute of Technology GmbH  mailto:projectoffice@knowing-climate.eu

Connect with the SWF demonstrator case if you wish to have an exchange of ideas, gain inspiration and plan to start your own regional project, or if you want to contribute insight, data or services.

Reach out to Mr. Stefan Moerschel, stefan.moerschel@bra.nrw.de and Mr. Stefan Slembrouck, stefan.slembrouck@smartcitiesconsulting.eu

Background and layout

Following the initial series of stakeholder workshops (which covered the setting of the scene, the challenges involved, and the vision for the future), the modelled Climate Mitigation Pathway was introduced to the stakeholder auditorium.
Following this, the stakeholders were assigned the task of aligning the presented pathways with local framework conditions (legal, financial, societal), pre-planned mitigation and adaptation strategies and activities, projects and governance measures, such as the implementation of a SECAP and economic programmes. In South Westphalia, the focus was on ensuring the compatibility of wind turbines with natural habitats in forested areas, with a view to supporting the implementation of the relevant legislation in Germany (the "Wind an Land Gesetz"; Onshore Wind Act).
This has led to regional exploitation commitments, as outlined in the Exploitation Plan, and additional supporting activities of the local hub.

Beforehand, some hurdles were identified:

  • Impact of measures unknown
  • Specific targets unknown
  • Inter-sectoral dependencies not accounted for
  • Measures are defined but not implemented
  • Risk that adaptation efforts continue to fuel climate change

Agenda

19:01 - 19:01
Modelling Tasks

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Modelling tasks

For South Westphalia (SWF) the following domains were modelled and conclusions introduced:

  • Mitigation
    • Transport
    • Energy demand and energy supply
  • Adaptation
    • Climate-resilient forests
  • Land use
    • CO2 storage capabilities, hydrology
Observations and conclusions
Transport:
  • Effectiveness of Measures Varies Moderately

Pricing measures such as road usage fees have a stronger impact on reducing car use than urban design or planning approaches. While public transport usage increases more significantly through car pricing measures than through network improvements, enhancements in peri-urban areas remain important and can still drive a noticeable modal shift.

  • Synergy is Key

Combined "all-measures" scenarios significantly reduce car use, demonstrating the compounding effects of integrated policy bundles. Direct CO₂ emissions are primarily reduced through fleet electrification, followed by pricing measures, parking management, and public transport improvements.

  • Not All Green Measures Reduce Car Use

Fleet electrification can trigger a rebound effect, increasing car usage (and energy demand) despite environmental improvements. Similarly, incentives for carpooling may also lead to minor rebound effects, as drivers might cover more kilometers.

Energy - overall observation:
  • Dependence on National Electricity Prices

The pathway for clean energy transformation and the installed capacity of local technologies are highly dependent on national electricity prices.

  • Strong Potential for Wind and Solar Integration

SWF has strong potential to build a robust and cost-efficient energy sector based on wind and solar power, supported by close integration with the national grid to ensure a reliable energy balance.

  • System Stability and Analytical Scope

Even with 20% higher summer peak loads (~300 MW) in the heat wave scenario, the system remains stable due to strong generation capacity and grid integration. The analyses consider two individual weather years (normal year, heat wave); a year with a "Dunkelflaute" (dark lull) was not included.

Energy sectors in more detail:

  1. Electricity
  • Rising Electricity Demand: Electricity demand is increasing due to the expanded use of heat pumps and electric boilers in district heating, as well as hydrogen applications.
  • Renewable Energy Potential and Generation: Installed electricity generation capacity remains similar in both scenarios. Local renewable energy potential is high, particularly for:
    • PV: 12,505 MW potential, with 7,003 MW installed by 2050 (56%) – a balanced installation between rooftop and ground-mounted PV is recommended.
    • Wind: 3,250 MW potential, fully realized by 2050 (100%).
    • These technologies significantly contribute to local energy generation. In the heat wave (HW) scenario, weather conditions reduce PV and wind power generation, leading to lower overall electricity production, which is offset by higher grid imports.
  • Energy Balance
    • NY 2050 Scenario: Slightly positive balance (101% self-sufficiency rate) – exports exceed imports by 220 GWh.
    • HW 2050 Scenario: Negative balance (91% self-sufficiency rate) – imports exceed exports by 1,883 GWh.
  1. District Heating
  • Strong Electrification by 2050: By 2050, the district heating sector is heavily electrified, relying on electric boilers and heat pumps.
  • Technology Mix and Price-Dependent Operation: Biomass CHP and heat pumps are the main technologies, while electric boilers cover peak demand and waste CHP provides base load. Heat pumps and electric boilers follow national electricity prices, operating primarily when prices are low. Conversely, biomass and waste CHP are mainly used when electricity prices are high.
  • Seasonal Independence and Capacity Needs: A hot summer does not automatically mean a mild winter. In the assumed heat wave (HW) year, a cold winter also occurs, requiring higher installed district heating capacity—particularly through heat pumps—compared to the normal year (NY) scenario.
  1. Hydrogen
  • Full Self-Sufficiency in Hydrogen: The hydrogen energy balance achieves a 100% self-sufficiency rate.
  • Price-Dependent Operation: The operation of the electrolyzer and H₂ storage is closely linked to electricity prices.
  • Low vs. High Electricity Price Scenarios
    • At low electricity prices, the electrolyzer covers the base H₂ demand, and excess hydrogen is stored in the H₂ storage system. 
    • At high electricity prices, stored hydrogen is used to meet the base H₂ demand.
Land Use, climate resilience

South Westphalia´s forests (51% cover, 57% spruce) face a crisis driven by historical overuse, plantation management, pollution (S/N deposition causing soil acidification), drainage, and climate change-induced storms/fires. Clear-cutting and damaged wood removal exacerbate stress. Since 2017, forests emit CO₂/N₂O instead of storing carbon. Wind energy expansion adds pressure, with each turbine requiring ~0.6 ha, causing land loss and stress beyond cleared areas.

Forest restoration and energy transition integration present a dual climate protection task. Scenarios include removing drainage systems, reforesting calamity areas, converting to permanent forests, increasing forest cover, and constructing/operating wind turbines for CO₂ savings. Additional measures focus on carbon enrichment along forest edges. These are the conclusions after the modelling:

  • Combining wind energy expansion and natural CO₂ storage as the most effective way to achieve climate neutrality​

  • Wind turbines significantly reduce emissions and improve the regional carbon footprint​

  • Limited impact area: negative effects are minor and can be offset by other measures​

  • Small-scale afforestation and reforestation – appropriate for offsetting construction emissions​

  • Reforestation with climate-resistant species strengthens forest resilience and can be extended to other areas​

  • Synergy effect: package of measures offsets CO₂ losses, promotes neutrality and long-term stability of carbon sinks.​

 

 

19:01 - 19:01
Feedback from Workshop

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Integrated Mitigation Pathway for South Westphalia

The pathway combines energy, land use/forest, and transport models into a coherent, cross-sectoral transition strategy, proving that climate neutrality by 2045 is achievable through regionally adapted measures:

  • Expanding renewable energy in synergy with climate-resilient forestry,
  • Electrifying heating and transport, and
  • Improving inter-modal mobility without disruptive interventions. This positions South Westphalia as a climate-smart industrial region, balancing economic competitiveness, ecological integrity, and social acceptance.
Relevance for Local Climate Programs

The pathway provides municipalities and counties with a scientifically grounded framework to:

  • Integrate energy, mobility, and land-use policies into local climate action plans,
  • Quantify key indicators (renewable potential, CO₂ storage capacity, mobility emission reductions), and
  • Include forest carbon sequestration and energy system interactions in climate accounting for the first time. It fosters a shared regional vision that complements local plans and enables coordinated, cross-border implementation.
Stakeholder Perspective: Value & Open Questions

Perceived Value:

  • A unifying strategy linking scientific modeling with practical policy development,
  • A realistic, non-disruptive route to climate neutrality,
  • Mutually reinforcing benefits: improved mobility, energy independence, and forest restoration as pillars of a sustainable regional identity,
  • Business orientation: Clarifies transformation needs and green market opportunities,
  • Policy support: Evidence-based foundation for governance.

Open Questions:

  • How to ensure institutional continuity of modeling frameworks and stakeholder access post-KNOWING?
  • How to operationalize the pathway in formal climate programs and funding mechanisms?
  • How to strengthen inter-municipal cooperation for infrastructure, grid, and data challenges?
Agreed Actions & Milestones
  • Institutionalization: Energy4Climate NRW will take over the KNOWING Local Hub, ensuring ongoing access to scientific and participatory tools.
  • South Westphalia Future Congress (Summer 2026): Main platform to communicate the pathway, mobilize partnerships, and present implementation roadmaps to political leaders and the public.
  • Follow-up validation meetings: Integration of results into regional and district-level climate plans, with potential replication in other NRW (North-Rhine Westphalia, federal state) regions.
  • Transition from research to governance: The pathway becomes a living regional process for achieving climate neutrality.
19:01 - 19:01
Uptake; exploitation beyond the project

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Summary of South Westphalia´s exploitation plans following the Climate Mitigation Pathway development

In the aftermath of the Pathway seminar, opportunities for local implementation of the pathway and exploitation were established in the SWF local hub.

Key Takeaways
  • SequOIA-CAM - Sequestration Optimization Interface for Afforestation and Carbon Accounting Monitoring solution
  • Impact Shopfloor ("Wirkungswerkstatt") - capacity building services offer utilizing KNOWING Climate Activation & Empowerment Services, esp. Playful Trainings and Shape Your Future App
  • Online Factsheet - transparent tool accompanying project development, permitting, construction and implementation of wind-in-forest projects
  • MoKIVerM - AI-supported Mobility Transition through Traffic Crisis Management 

All exploitation projects aim to bridge the gap between modeling results and practical implementation, ensuring scalability for regions with similar challenges.

Hier ist die Tabelle im A4-Portrait-Format mit den Kategorien als Titelspalte und den vier Exploitations als weitere Spalten:

CategorySequOIA-CAMImpact Shopfloor – WirkungsWerkstattOnline FactsheetMoKIVerM
Kind of ProjectESA-funded demonstration project with planned commercial exploitationNorth Rhine-Westphalia demonstration and transfer project as modular trainingTransparent online information and communication toolInnovation project traffic and mobility management tool; Planned mFUND (Germany)
Main ObjectiveCommercial exploitation of SequOIA-CAM as an AI-powered SaaS for forest carbon accounting, ecosystem monitoring, biodiversity insights, risk forecasting, and carbon sequestration simulationPractice-oriented capacity-building to strengthen climate adaptation competence, self-efficacy, systems understanding, and conflict capabilityProvide a structured and accessible overview of wind-in-forest projects to support transparency, trust-building, and informed stakeholder engagementDevelop an AI-supported traffic management tool to reduce disruption risks, improve crisis response, and support climate-oriented mobility management
DescriptionCombines satellite, UAV/drone, LiDAR, and ML methods to deliver near-real-time forest monitoring, carbon stock mapping, biodiversity indicators, risk maps, scenario simulation, and reporting via a web platformCombines workshops, trainer qualification, and digital modules to strengthen motivation, systems understanding, and conflict capability in a modular, adaptable formatTransparent overview of a specific wind-in-forest project, including permitting procedures, infrastructure, ecological safeguards, and public participationExtends the NRW traffic model with AI-based crisis and diversion management to support alternative routing and coordinated decisions for vulnerable infrastructure
Projects Results UsedProject-specific knowledge and modeling experience from CLUMondo Land Use ModelResults, methods, learning designs, and implementation experience from KNOWING Stakeholder Engagement processes, esp. Playful Trainings and Shape Your Future AppStakeholder engagement approaches, Playful Trainings, Shape Your Future AppRegional transport and mobility modeling approaches (ABM Transport Model), governance experience, climate-oriented scenario and infrastructure planning logic
Stakeholders InvolvedMunicipal representatives, land owners, forestry actors, environmental organizations, approval authorities, advisors and planners for forestry, insurancesMunicipal representatives, local citizens, civil society groups, education and training organisationsMunicipal representatives, local citizens, land owners, forestry actors, environmental organizations, approval authorities, grid infrastructure actors, civil society groupsMunicipalities, administrations, road construction authorities, transport associations, infrastructure operators, regional mobility actors
CollaboratorsMunicipal representatives, land owners, forestry actors, environmental organizations, approval authorities, advisors and planners for forestry, insurances, technology developers and scientific partnersMunicipal representatives, local citizens, civil society groups, education and training organisations from all over NRWSpecialist planners, environmental assessment experts, legal and permitting advisors, biodiversity experts, construction and transport partners, local stakeholder networksSouth Westphalia Agency, IHK Arnsberg-Hellweg-Sauerland, Zweckverband Mobilität Ruhr-Lippe, City of Arnsberg, municipalities such as Möhnesee, district-level actors, tourism stakeholders, scientific partners
End User / CustomerPublic and private forest owners and managers, forest and environmental authorities, certification and carbon verification bodies, NGOs, companies investing in nature-based solutions, insurance companiesMunicipalities, public authorities, training providers, foundations, intermediary organizations, civil society initiatives, neighborhood-based transformation actorsMunicipalities, citizens, local stakeholders, approval authorities, project partnersMunicipal administrations, transport and infrastructure authorities, regional mobility managers, crisis-management actors, planning bodies
FundingESA fundingFederal State Ministry of EducationProject-based financing by the project developer; potential co-financing for communication and participationPlanned submission in the German mFUND program 2026
TimetableOutline Proposal submitted July 2025, Full Proposal by June 2026, Project start approx. Q4/26, Duration: 18 monthsApplication May 2025, Grant Dec. 2025, Start: Jan 2026, Duration: 12 monthsPilot end of May 2026Submission in Q2/2026, Project start approx. Jan 2027 (conditional), Duration: 18 months
Followers, ImpactLow mountain regions in Central Europe; Improves operational uptake of climate evidence German-speaking countries with Adult Education Centers; improved climate literacy for private and vocational decisionsOther project developers in the region, other low mountain regions with forested hills; increased transparency, better acceptance for wind park projectsRegions with vulnerable road infrastructure and bridge-related disruptions; Transferable digital support tool for climate-oriented mobility and crisis management
Provision and Access--Hosted by the Province Government and available for download via the project website-