The optimization of the enegy generation/ storage/ consumption cycle at two levels, Prosumer level and Prosumer-2-Prosumer level, will allow the following co-benefits:

• Reduce energy needs
• Increase access to clean, affordable, and secure energy
• Reduce GHG emissions
• Social: Enhancing citizen participation, connectivity, and community

No specific predefined conditions must be met for implementing an EMS apart from some demand flexibility that is subject of a potential optimization. However, there are several factors that can influence the decision. Among other energy consumption, energy cost, regulatory requirements, environmental goals in the organization or the organizational culture for instance.

As enabling conditions we can consider on a non-exhaustive basis the following ones:

• Dedicated resources: Availability of dedicated resources such as staff, funding and technology is critical to its successful implementation. This includes hiring or designating an energy manager or team to oversee the EMS and ensure its effective operation (aggregator or a similar figure for example).
• Data Management: Accurate and reliable data is essential for effective energy management. Access to real time energy data should be foreseen and the ability to collect, analyse, forecast and report on energy consumption and costs across the organization.
• Performance measurement and reporting: Regular performance measurement and reporting may help to monitor progress, identify areas for improvement and communicate the benefits of the EMS to stakeholders. This must conclude on a continuous improvement of the tool.
• Training and awareness: Both programs are important to ensure that participants understand the value of the EMS and are equipped with the knowledge and skills to support its performance.

As constraints or barriers to the implementation we can point out several ones but to group them somehow, we can consider:

Lack of resources:

This will be a common barrier to the implementation of any technology. Not only from the point of view of funding but also including staff and technology solution. The EMS requires upfront investment in hardware, software and personnel to set up and operate the system effectively. And this can become a barrier if the payback of the proposed solution is not very attractive.

Lack of data:

Without reliable data, it can be challenging to identify energy consumption patterns and implement effective energy optimization operations.

Resistance to change:

This is a significant social barrier, particularly in areas with entrenched practices and culture. Without buy in from stakeholders, prosumers, senior managers, etc., it can be challenging to achieve the necessary changes to support the EMS. We can connect this barrier with the lack of awareness on the benefits of this solution. Many times, due to being unaware of the potential financial and environmental outputs.

Complexity:

Implementation is often complex, involving multiple systems, data sources and stakeholders. Integration of existing systems into the EMS as well as managing the complexity of the EMS itself should be noticed.

Regulatory requirements:

While regulation can be an enabler it may also become a barrier if it is complex, unclear or onerous. Compliance with multiple, overlapping regulations can add extra complexity and cost.

There are not significant drawbacks or adverse impacts in the operation of this solution. However, its complexity may cause problems in its effective operation. For example, in the quality and or reliability of specific services. Or in the involvement of stakeholders and prosumers who may not perceive clear benefits on their participation.

From the point of view of measurement most common KPIs will take into account:

• Energy consumption: As total energy usage, energy intensity (energy usage per unit of output) or energy cost
• Energy savings: As total energy saved, energy savings as a percentage of baseline consumption or energy savings per unit of output
• Greenhouse Gas Emissions
• Cost savings
• Etc.

But also, specific KPIs such as equipment uptime, reliability, maintenance cost, etc.

• DNSH:

Most interesting instruments are the ones that can help to finance the installation of these solutions. From the list of instruments in NetZeroCities we can consider:

• Loan for Energy Efficiency (https://netzerocities.app/resource-1648) to provide soft funding
• Blended finance for Energy Efficiency (https://netzerocities.app/resource-1658)

• HOLISDER Integrating Real-Intelligence in Energy Management Systems enabling Holistic Demand Response Optimization in Buildings and Districts
• https://eneuron.eu/
• https://www.deesme.eu/
• https://vicinity2020.eu/
• https://cordis.europa.eu/project/id/771066