The proposal present Digital twins (DT) based demand side recommendation services which aim to improve energy consumption of future smart city with target applications such as urban energy planning, energy efficiency improvement, CO2 emission reduction, Smart charging management. Project aimed to develop an innovative Industry 5.0 Digital twin-powered real-time demand response which eliminates excessive sensor usage while using advanced user interfaces proffers better engagement solution to residents. By using cutting-edge technologies such as Industry 5.0 DT, ecommerce recommendation, conversational chatbot technology and mixed/virtual reality interfaces to monitor and account for carbon foot print and electricity used by every individual asset/device in the city towards effecting demand side management and grid operations, residents across the municipality can learn best energy practices via asset specific recommendation and also from one another in collaborative manner using the collaborative learning algorithm of the recommendation service scheme creating a dynamic informed energy community. The role of DT in this context includes the modelling of complex urban systems as individual interconnected assets in the term of high precision modelling approach provided by DT (i.e. hybrid DT models) targeting applications such as energy efficiency improvements, urban energy planning and real-time flexibility estimation, smart charging management etc. This innovative approach will help to accurately forecast asset profile in real-time and will be robust against factors such as weather, economic shocks (i.e. Covid-19) that negatively affect the accuracy of existing analytics model. The solution also allows resident to take advantage of time-of-use electricity rate by giving them advice on how to save cost and energy based on flexible pricing. Consumers can make education decision with knowledge provided by the platform demand side recommendation platform. Chatbot technology provides 24/7 access to energy efficiency report and extended reality (XR) information layering allows user to experience additional layer (360° views) of information on asset towards DR/energy waste reduction effort. The framework relied on publicly accessible smart meter data and advanced real-time and predictive analytics models to elicited behavior at the individual electricity asset level. The solution significantly eliminates challenges of high cost and infrastructure requirements for sensors. The federated learning approach allows the framework to respects the privacy and safety of our citizens.
The framework presents a tangible solution that improve the speed of tracking flexibilities towards demand response by innovatively using smart meter dataset to achieve smart management of local government energy planning facility without excessive deployment of sensors. The framework tracks of individual electricity asset. This is an innovative approach that can support Urban energy planning by using DT based simulation and quantitatively analyze scenarios adapted to specific districts and buildings energy planners are able to make sensible investment decisions, and can provide real-time city-wide device level electricity behavior information towards generation of energy efficiency recommendations targeting city energy performance ambition and environmental goals etc. The digital twins platform will also help municipal decision-makers in ways that would allow them to optimize required investments into their renewable energy optimized building stock (i.e. identify appropriate region/locations in the city for rooftop renewable installation). For example, stakeholders (government, electricity prosumers etc.) can have access to information about where to cite optimal renewable energy resources (RES) based on ability of proposed framework to track/predict the sun or wind speed and advice accordingly using existing/installed individual solar or wind capacity across the city. The proposed Industry 5.0 DT based user-centered design help to equalize/democratize the level and accessibility of public services targeted towards achieving resident ambitions for Net zero homes, green transition and supportive planning in cooperation with local governments towards the mitigation and reduction of the effect of climate change while promoting environmentally friendly living. By combining geoinformation the platform can help the local government to manage the power consumption of public infrastructure such as street lighting, electric powered public transport. Our solution ensures that city resident enjoy the experience/benefits of advanced metering infrastructure (AMI) 2.0 (i.e. load disaggregation, grid reliability operation, real-time grid management (e.g., for phase load balancing) etc.) without needs for additional investment/replacement by extending functionalities of AMI 1.0 that is normally associated with limitation such as memory and over-the-air updates compared to AMI 2.0. Such technologies help to improve grid resilience while achieving city decarbonization goals. Overall, the framework serves as new innovative services that help city residents save energy and CO2 emission, transition to climate-neutral energy production/consumption, ensure energy security while making cities better living environments using sustainable energy infrastructure by contributing to the Estonian national economy and climate goals.