Supporting green and digital transformation.
In alignment with the European Green Agreement: Adopting ESGenius! is in -line with the European Green Deal’s objectives for emissions reduction and sustainable development. At the same time, it meets demands for digital transformation in local governance, making Halki Municipality a digital replicable model of excellence.
Smart & Climate-Neutral City Principles: The project advances the principles of a "Smart and Climate-Neutral City" as a core eligibility criterion for EU Smart City projects. Through its Local Climate Action Plan (ΔηΣΜΕ) and accompanying initiatives, Halki is charting a course toward climate neutrality, enhancing its attractiveness for EU funding and partnerships.
Compliance with Smart Cities Criteria: The Municipality Emission Reduction Plans ( ΔηΣΜΕ ) framework, with its binding emission reduction targets, ensures alignment with EU Smart Cities standards. Concrete environmental goals and measurable KPIs further strengthens the sustainability profile and credibility of Halki Municipality.
Digital Transformation: The project supports the transition of traditional, manual processes to automated, interoperable services. This is a critical characteristic of Smart Cities were data in between departments is flawless. Halki Municipality now manages environmental data digitally, boosting efficiency and reducing bureaucracy.
Resource Optimization via KPIs: Automated reporting and performance indicators (KPIs) enable real-time optimization of energy and environmental resources. The Municipality can easily identify inefficiencies (e.g., energy waste, high emissions) and implement targeted measures in real-time.
Alignment with SDGs & ESG Criteria: The project contributes to multiple Sustainable Development Goals (SDGs), including climate action, sustainable energy, and sustainable cities. It also meets ESG (Environmental, Social, Governance) that are increasingly vital for institutional evaluation criteria embedding sustainability as a core strategy of Halki Municipality.
Enhanced Climate Resilience: With integrated monitoring tools, Halki becomes more resilient to climate change. Emissions profiling and carbon reduction actions prepare the Municipality for future environmental challenges.
Pioneering Innovation in Local Governance
A National First: Halki is the first Greek municipality to develop a Municipality Emission Reduction Plan ( ΔηΣΜΕ ) using an AI-driven platform. This innovative approach sets a benchmark for Greek and European municipalities creating a new state-of-the-art project showing how advanced technologies can benefit local governments in the EU.
Revolutionizing Processes: This innovative project presents how even a small municipality far away from central government, with limited resources can become an innovation leader. Halki model - combining technology, transparency, and actionable goals, has developed a new more efficient replicable blueprint for sustainable governance.
Generative AI & Transparency: The Municipality uses Generative AI to automate reports, action plans, and dynamic BI dashboards (interactive business intelligence reports). All data are published on Halki's website, ensuring unprecedented transparency for citizens and stakeholders. Members of the local community and all Halki’s stakeholders at large will be able to access the Municipality’s performance data related to climate change in real time.
Leadership in Climate Action: hrough this initiative, the Municipality of Halki emerges as a pioneer in climate action efficiency. By combining cutting-edge technology, full transparency and targeted goal-setting, Halki has become a replicable model of excellence while significantly strengthening its capacity to address environmental challenges.
By integrating technology, transparency, and targeted goals, Halki emerges as a "Smart Island" and a model for sustainable development and climate resilience.
ESGenius! – The Sustainability OS has automatically calculated emissions for the reference year 2019, as required by the National Climate Law. After that, the following Key Performance Indicators (KPIs) were set for the Municipality to monitor, tracking emission reductions on an annual basis. Every other year, the municipality employee responsible for this task will input the updated data, and the platform will automatically calculate the emission reduction KPIs, generating the mandatory Technical Progress Report as required by the legislation, using AI.
KPI Measuring Unit
Electrical Power consumption per sq.m kWh/m²
Fuel consumption per building lt ή kg / per year
Annual CO2 emissions per building tCO₂ / per year
Amount of liquid coolant added kg / per year
Fuel consumption per vehicle lt / 100 km ή lt / per year
Annual CO2 emissions from the fleet of vehicles tCO₂ / per year
Percentage of zero/ low emissions vehicles %
Annual consumption of electrical power for public lighting kWh / per year
Annual CO₂ emissions tCO₂ / per year
Percentage of Municipal Emissions Reduction Plan activities implemented %
The reduced labor requirement from both entities should also be taken into account, as analyzed below:
Municipality Employees: 2 x 1 week x 4 days x 2 hours/day = 16 work-hours
ESGenius Employees: 2 x 1 week x 3 days x 3 hours/day = 18 work-hours
Otherwise, it would require the involvement of at least: 4 employees from the Municipality for data collection and compilation, 3 employees from the Consultant’s side (ESGenius!) who would act as the smart platform for calculating emissions and drafting the Municipal Climate Action Plan (ΔηΣΜΕ).
Municipality Employees: 4 x 3 weeks x 5 days x 3 hours/day = 180 work-hours
Consultant Employees (ESGenius): 3 x 2 weeks x 5 days x 3 hours/day = 90 work-hours Thus, the total work-hour savings amount to:
(180 + 90) – (16 + 18) = 270 – 34 = 236 work-hours or 87% savings!
Additionally, CO₂ emissions from prevented travel are saved.
Considering the round trips of 2 consultant employees from Athens to Halki, the distance covered would be:
2 x 2 x 407 km = 1,608 km.
With an emission factor of 0.180 kg CO₂eq/km (UK DEFRA 2023), the Scope 3 emissions reduction equals 290 kg CO₂eq.