While many recognize the value of data, AI, and domain expertise, few have demonstrated the ability to deliver real, measurable results — we have!
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TOTAL OPTIMIZATION OF DISTRICT HEATING
CHALLENGE Long distribution lines in the district heating network cause narrow sections and the need for investments in peak load capacity.
SOLUTION Active demand response and energy services for demand profile management from the NODA platform combined with existing traditional production optimisation software.
RESULT Prolonged lifetime of existing distribution infrastructure and avoiding the need for investment in new peak load capacity infrastructure.
- 12% increase in flexibility capacity
- Minimum time from proof-of-concept to deployments at scale
- Collaboration and data sharing between demand response capacity and existing production optimisation solutions
OPTIMIZING SKYSCRAPERS
CHALLENGE Decarbonisation of the building stock of New York is an ongoing challenge. Heat-pumps and other solutions for heating and cooling exist and are being implemented as part of this. However, to make this cost-efficient at scale these new solutions need to fit seamlessly together with existing infrastructure.
SOLUTION By utilising AI-based analytics and control it is possible to optimise not only the application of new heat-pump based applications but also to optimise the existing gas and steam solutions as they wait to be retrofit.
RESULT New heat-pump solutions work within the constraints of the current infrastructure and existing gas and steam customers can be offered active energy services as part of decarbonisation.
- Software integration between NODA and existing solutions for rapid deployment and value creation
- Significant peak demand reductions and overall energy efficiency improvement in a decarbonised solution
ACTIVE ENERGY SERVICES TO HEAT CONSUMERS
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CHALLENGE Consumer heating systems are often managed inefficiently resulting in higher heating costs and suboptimal indoor climate quality.
SOLUTION Active energy services through the NODA platform with business applications for controlling heat usage, managing demand profiles, improving return temperatures and balancing the indoor climate combined with predictive maintenance analytics
RESULT Improved insights for the energy provider coupled with better demand profiles and lower return temperatures, while the customers can reduce costs and improve indoor climate.
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Minimum time from consumers dialogue to deployed active service
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10 - 20 % cost savings at the consumer side
-
Increased collaboration and insights between energy providers and consumers
GAS REDUCTION IN DISTRICT HEATING
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CHALLENGE A production mix with cheaper baseload fuels and more expensive fossil gas for peak loads managed with a physical storage tank that is somewhat to small for the task results in increased gas usage.
SOLUTION Active demand response on the consumer side operating in relation to the temperature levels of the physical storage tank. This creates a virtual storage ability that complements the physical storage.
RESULT The total storage capacity is increased by about 50 % leading to a significant reduction in gas usage without influencing the amount of sold energy.
-
14% reduction in gas use
-
Software integration between the NODA platform and customer SCADA
-
Costs saved and reduced CO2-emissions
INDUSTRIAL HEAT NETWORK OPTIMIZATION
CHALLENGE A major industrial facility facing a substantial increase in district heating costs together with a more complex pricing structure.
SOLUTION Active control of the forward temperature in the subnet for the industrial area combined with active demand response in buildings to balance the overall efficiency measures. This is further combined with continuous analytics for improved parameter settings throughout the facility.
RESULT Reduced amount of bought district heating (≅140 GWh) as well as lowered peak and flow requirements which in turn also improves the district heating costs.
-
1-0.5M€/yr reduced cost and reduced CO2-emissions
-
Software integration between the NODA platform and customer control systems
-
5℃ reduction of forward temperature
-
20%-30% reduced peak load
- 10% energy savings
NETWORK MANAGEMENT
IN ASIA
CHALLENGE High energy costs and high peak loads increase fossil peak fuel usage and cause narrow distribution sections. A disconnect between energy supply and demand causes heat losses and demand inefficiency.
SOLUTION Use the NODA platform for active demand response in 83 buildings with a total heating area of 595 000 m2 combined with active control of two network mixing stations.
RESULT Reduced peak fuel consumption and more even pressure levels.
-
Software integration between the NODA platform and customer control systems
- 23%-27% reduced peak load
- 200K€/yr reduced cost and reduced CO2-emissions
- Costs saved and reduced CO2-emissions
LOAD MANAGEMENT TO AVOID PEAK CAPACITY
CHALLENGE A need for large investments in peak load capacity to manage current and future demand profiles
SOLUTION Active demand response and energy services for demand profile management based on the NODA platform to create flexibility to manage demand profiles
RESULT Prolonged lifetime of existing distribution infrastructure and avoiding the need for investment in new peak load capacity infrastructure.
-
100MW of avoided investments in peak capacity
-
5 500 buildings included in an ongoing deployment project
-
Collaboration and data sharing between demand response capacity and existing automation and data management solutions
TOTAL OPTIMIZATION OF DISTRICT HEATING
CHALLENGE Long distribution lines in the district heating network cause narrow sections and the need for investments in peak load capacity.
SOLUTION Active demand response and energy services for demand profile management from the NODA platform combined with existing traditional production optimisation software.
RESULT Prolonged lifetime of existing distribution infrastructure and avoiding the need for investment in new peak load capacity infrastructure.
- 12% increase in flexibility capacity
- Minimum time from proof-of-concept to deployments at scale
- Collaboration and data sharing between demand response capacity and existing production optimisation solutions
OPTIMIZING SKYSCRAPERS
CHALLENGE Decarbonisation of the building stock of New York is an ongoing challenge. Heat-pumps and other solutions for heating and cooling exist and are being implemented as part of this. However, to make this cost-efficient at scale these new solutions need to fit seamlessly together with existing infrastructure.
SOLUTION By utilising AI-based analytics and control it is possible to optimise not only the application of new heat-pump based applications but also to optimise the existing gas and steam solutions as they wait to be retrofit.
RESULT New heat-pump solutions work within the constraints of the current infrastructure and existing gas and steam customers can be offered active energy services as part of decarbonisation.
- Software integration between NODA and existing solutions for rapid deployment and value creation
- Significant peak demand reductions and overall energy efficiency improvement in a decarbonised solution
ACTIVE ENERGY SERVICES TO HEAT CONSUMERS
CHALLENGE Consumer heating systems are often managed inefficiently resulting in higher heating costs and suboptimal indoor climate quality.
SOLUTION Active energy services through the NODA platform with business applications for controlling heat usage, managing demand profiles, improving return temperatures and balancing the indoor climate combined with predictive maintenance analytics
RESULT Improved insights for the energy provider coupled with better demand profiles and lower return temperatures, while the customers can reduce costs and improve indoor climate.
-
Minimum time from consumers dialogue to deployed active service
-
10 - 20 % cost savings at the consumer side
-
Increased collaboration and insights between energy providers and consumers
GAS REDUCTION IN DISTRICT HEATING
CHALLENGE A production mix with cheaper baseload fuels and more expensive fossil gas for peak loads managed with a physical storage tank that is somewhat to small for the task results in increased gas usage.
SOLUTION Active demand response on the consumer side operating in relation to the temperature levels of the physical storage tank. This creates a virtual storage ability that complements the physical storage.
RESULT The total storage capacity is increased by about 50 % leading to a significant reduction in gas usage without influencing the amount of sold energy.
-
14% reduction in gas use
-
Software integration between the NODA platform and customer SCADA
-
Costs saved and reduced CO2-emissions
INDUSTRIAL HEAT NETWORK OPTIMIZATION
CHALLENGE A major industrial facility facing a substantial increase in district heating costs together with a more complex pricing structure.
SOLUTION Active control of the forward temperature in the subnet for the industrial area combined with active demand response in buildings to balance the overall efficiency measures. This is further combined with continuous analytics for improved parameter settings throughout the facility.
RESULT Reduced amount of bought district heating (≅140 GWh) as well as lowered peak and flow requirements which in turn also improves the district heating costs.
-
1-0.5M€/yr reduced cost and reduced CO2-emissions
-
Software integration between the NODA platform and customer control systems
-
5℃ reduction of forward temperature
-
20%-30% reduced peak load
- 10% energy savings
NETWORK MANAGEMENT
IN ASIA
CHALLENGE High energy costs and high peak loads increase fossil peak fuel usage and cause narrow distribution sections. A disconnect between energy supply and demand causes heat losses and demand inefficiency.
SOLUTION Use the NODA platform for active demand response in 83 buildings with a total heating area of 595 000 m2 combined with active control of two network mixing stations.
RESULT Reduced peak fuel consumption and more even pressure levels.
-
Software integration between the NODA platform and customer control systems
- 23%-27% reduced peak load
- 200K€/yr reduced cost and reduced CO2-emissions
- Costs saved and reduced CO2-emissions
LOAD MANAGEMENT TO AVOID PEAK CAPACITY
CHALLENGE A need for large investments in peak load capacity to manage current and future demand profiles
SOLUTION Active demand response and energy services for demand profile management based on the NODA platform to create flexibility to manage demand profiles
RESULT Prolonged lifetime of existing distribution infrastructure and avoiding the need for investment in new peak load capacity infrastructure.
-
100MW of avoided investments in peak capacity
-
5 500 buildings included in an ongoing deployment project
-
Collaboration and data sharing between demand response capacity and existing automation and data management solutions
NODA SETS THE STANDARD
Can artificial intelligence reduce heating costs and lessen climate impact—while also providing tenants with more consistent temperatures in their apartments? This is what the housing company LKF in Lund has investigated in a pilot project. The outcomes are self-evident, and one you can clearly identify which of the rated providers are NODA here:
https://www.sverigesallmannytta.se/pilotprojekt-kan-ai-kapa-varmenotan/
