IZAR@SMART ENERGY

IZAR@SMART ENERGY – Energy Forecast Management Application

EU ENERGY EFFICIENCY TARGET 2030: Energy consumption reduction of at least 32.5%. 12% of this goal to be met by increasing district heating’s share from 12% to 30%.

LESS CO2 EMISSIONS: 38% of CO2 emissions from space heating of all buildings in the EU could be reduced by low-temperature district heating from renewables.

DECARBONIZATION: 50% of the heat demand in European cities could be met by district heating until 2050, contributing to decarbonize the heating sector.

The future of district heating lies in achieving greater efficiency in existing networks and integrating alternative heat sources into the distribution network. Most networks could benefit from the knowledge of all KPIs and weak points such as flow or return temperatures that are too high, or a temperature spread (Delta T) that is too narrow.

And they could benefit from energy demand forecasts to help them adjust supply to meet actual needs.
With the IZAR@SMART ENERGY – Energy Forecast Management (EFM) application, you can make the unknown visible and more predictable.

Make the unknown visible and predictable

The IZAR@SMART ENERGY – Energy Forecast Management (EFM) applications enables you to monitor your district heating network and manage the heat supply more efficiently and reliably. Optimize your network with EFM‘s intuitive monitoring and see what‘s happening underground. Reduce energy losses thanks to accurate consumption forecasts with EFM, based on your heat meter data and weather conditions.
Combined with smart meters and unique communication technology, it brings metering data to life.

Monitoring
Forecast

Energy Forecast Management lets you know what's happening in your distribution network

Optimize your district heating network with EFM’s intuitive monitoring. Constant monitoring with smart real-time information about district heating anomalies.

Increased network efficiency through more transparency:

Reduce costs
Lower heat losses
Lower maintenance costs
Higher customer satisfaction due to fewer complaints
More sustainability and lower CO2 consumption

EFM Features overview

The EFM application not only enables utilities to optimize their heat supply, but also reduces their carbon footprint, while improving service to end consumers.

HEAT MAP MONITORING

KPI monitoring in map view, e.g. flow, return temperature, Delta T and volume
Color indication for KPI status

Gain transparency by having everything at a glance

EVENT ALERTS & WARNINGS

Threshold alerts and warnings for weak point identification
Categorization in flow, return and Delta T temperature

React and become more proactive

KPI HISTORY

Display of granular KPI history
Data granularity is down to an hourly basis

Understand better what is happening where

ENERGY EFFICIENCY INDICATOR

Overall energy efficiency in % as gauge chart
Top 5 lowest and highest parameters based on your settings

Follow up on your progress and know what to focus on

ENERGY DEMAND FORECAST

Self-calibrating energy demand forecasting algorithms based on meter data and weather conditions
Monitoring of supply quality and peak loads

Adjust supply to consumption for network optimization

REDUCE ENERGY LOSSES BY ADJUSTING THE ENERGY SUPPLY
BENEFIT FROM THE POWER OF KNOWLEDGE:
- Save time and money by better locating and anticipating weak points of your district heating network.
- Give your staff more flexibility and peace of mind in searching for weak points.
- Further reduce heat losses and maintenance efforts by being proactive and taking action at an early stage.
- Track your progress daily to follow up your improvements.
- Optimize the efficiency of your overall network operations, while ensuring customer satisfaction.
- Reduce operating expenses such as heating costs, pump costs and heat losses.
- Save energy resources and reduce CO2 emissions for improved sustainability.

Want to learn more about EFM?

Energy Forecast Management lets you transition to a demand driven system

See at a glance how energy consumption and air temperature have evolved and get an indication of what the future demand will be. Adjust supply to consumption and optimize your network with less energy loss.

Adjustment of the energy supply to the energy demand:

Efficient demand forecasting
Early reaction to changes
Integration of weather data
Reduction of energy losses