Smart Heating as a Service
Overview
In Europe, energy consumption in buildings represents 40% of the total energy consumption. This is representative of the world’s total energy consumption. More than 80% of the buildings existing in 2050 will be made up of the ones that already exist today! To meet the long-term political goals (zero greenhouse emissions by 2045) we have to create robust, useful, attractive and highly scalable powerful energy efficiency solutions for existing real estate portfolios.
The goal is to optimize the heating supply with the lowest possible emission of CO2, concerning individual rooms, the assets, as well as the city, the energy producer and the overall context through AI-driven methods.
Current Situation
Higher temperatures
Lower efficiency
Vision of Modern Networks
Low temperatures
High efficiency
In the meantime, many district energy systems have old or even outdated control systems due to legacy in hard & software with limited or no dynamic optimization.
Current Control System
Legacy software, often built in-house
Limited insights into drivers of system efficiency
Stability only, no optimization
2D Dashboard
Modern Control System
Complex and dynamic modeling, made easy
Continuous visibility and transparency
AI powered intelligence
Automated dynamic optimization and controls
Simulated 3D dashboard with multiple layered schemas to effectively manage the building contextually
Collaborate and work
Our ambition is to significantly improve heating systems
The power of the Winniio Heating Service
Winniio Smart Heating as a Service is especially designed for heating systems. In this case, a digital twin is a virtual simulation of a physical heating system. This allows for multiple simulation scenarios and analytics and therefore results in the most optimal settings for the heating system, any time all the time.
Smart Physical models
-Combining the BIM models with Metadata and smart library to contextually access the information at any given point and making the model smarter.
-Fill in the blanks with the AI, based on sensor data input
Fill in the blanks with AI
-Optimizes your network with Artificial Intelligence
-Employs rapid setup as AI learns from your historic network data
-Dynamically forecasts and optimizes in real-time
Automatically adapts as your system expands over time
Maximum Value from all data
-Utilizes a holistic approach from heat sources to end customers and everything in between
-Emphasizes combining different data sources, sensors, actuators to control radiators, and more by bringing IoT capabilities.
-Creates a smart Digital Twin based on data sets
Secure and Flexible Setup
-No system replacement necessary
-Always updated
-Secure access from anywhere
-Calculation power used to support our Digital Twin
Digital Twin Enablement Växjö
Connect
Collect
Control
Transform your heating system with the power of the Winniio Smart Heating as a Service
- District Heating Software
- Simulate, analyze and automate controls
- Allow a holistic approach from heat sources to end customers and everything in between
- Optimize temperature, humidity, occupancy, CO2 & windows position data.
- Control the radiators with actuators remotely.
- EDGE native approach, users have access to data locally. No dependency on the cloud.
- Collaborative simulation dashboard for visualization
- AI Self-learning aspect, systems learn from past and can predict the future scenario.
- Intuitive interface to understand your network
- Easy setup in less than 4 months
Solutions
Sensor
A common issue for District Heating systems is that heat losses are too high. This is driven by too high temperatures in the system. Additionally, we often see that it is difficult to oversee the critical constraint of the system. By simulating the grid and advanced granular demand forecasts, new insights (e.g. forward temperatures) can be found while typical constraints (e.g. minimal temperature at consumers) are always met.
Actuators
In some cases, the hydraulics of the system are considered a given. Although sometimes unpredictable, pressure issues at lower temperatures occur, or unreliable pump operation results in trips. Using our holistic and dynamic modelling approach, new opportunities arise by improving both pressure and flows, leading to energy savings.
EDGE Gateway
To support multiple heat sources (e.g. Geothermal) in the system and operating on lower temperatures implies questions about which heat source needs to be utilized first, second, etc. (the so-called merit order). What will become the ‘stand-still’ points then? And how does that function in times of high electricity pricing? These are complex matters but with great emissions and financial gains.
Echo Router
Peaks in the network are important drivers for the system design and therefore the costs. Currently, some operators are making complex agreements with large customers for peak shifting. With our dynamic and holistic grid approach, we can capitalize on the potential network storage to some extent without the complex agreements.
WINNIIO Microservice
To support multiple heat sources (e.g. Geothermal) in the system and operating on lower temperatures implies questions about which heat source needs to be utilized first, second, etc. (the so-called merit order). What will become the ‘stand-still’ points then? And how does that function in times of high electricity pricing? These are complex matters but with great emissions and financial gains.
Other Services integrations
Peaks in the network are important drivers for the system design and therefore the costs. Currently, some operators are making complex agreements with large customers for peak shifting. With our dynamic and holistic grid approach, we can capitalize on the potential network storage to some extent without the complex agreements.
Our Mission – making sustainable impact on heating systems
Approximately 50% of all energy consumption in the world is used for heating and cooling. District heating systems are a large portion of this. At Winniio, we have the ambition to assist Smart Heating companies in applying new technologies as our Digital Twin to strongly reduce energy consumption. For our planet, more than 10% reduction of heat losses, results in the following.
Some of Our Clients and Partners
The clients that subscribe to our Smart Heating as a Service varies from startups and established organizations. We tailor our services according to your needs.
Interested for a customized solution?
Book a scoping meeting and we’ll get in touch with you!
Address
Gothenburg, Sweden
Email Address
info@winniio.io
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