e-balance Objectives

1. Research on real-life aspects (economic and social) of the energy efficiency obtained by distributed and decentralized energy control and management.

These mainly include the economic aspects related to the business nature of the underlying ecosystem and the social aspects related to the users’ acceptance and involvement. And usually these two areas overlap. It includes:

  • Determination of user requirements to reveal the required and desired technical features, the users’ concerns, as well as the different involvement levels, the reasons behind and conditions or benefits necessary to increase involvement, i.e., to transform simple consumers into energy aware prosumers
  • Development of new and enhanced business models
  • Study of law enforcements and suggestions

2. Integration of ICT for decentralized power management with increased local decision support including intelligent power generation, consumption and storage.

This concept is realized by:

  • Analysis and specification of open communication architecture for (wireless) home area network (W)HAN and electric grid (appliance interface, inter-level interface)
  • Analysis and integration of fine-granular and low-power measurement network through (wireless) sensor network technologies – a heterogeneous network for monitoring and controlling appliances, generators and storage devices (hardware and software)
  • Analysis, integration and evaluation of communication mechanisms and protocols providing resilience and self-healing to improve the network reliability
  • Analysis, integration and evaluation of a decentralized data storage and processing platform for heterogeneous networks supporting:
    • Multi-owner privacy protection schemes based on up-to-date and scalable security means
    • Data aggregation methods allowing for flexible regional and hierarchical data clustering

3. Research on management and energy balance algorithms for multilevel energy production, consumption and distribution.

These algorithms define the sensor network granularity and measurement accuracy for enabling active but well protected customer (prosumers) involvement. It includes:

  • Development of integration tools for exploiting local and distributed energy storages
  • Analysis, integration and evaluation of balancing algorithms for enabling energy distribution in neighbourhoods and reducing energy cost and losses.
  • Analysis, integration and evaluation of decentralized control algorithms for real-time actuation with self-adapting enabling resilience and self-healing to improve the grid reliability
  • Analysis, integration and evaluation of flexible privacy mechanisms applicable for energy balancing involving data flow from the end users, as well as between different participants classes
  • Analysis, integration and evaluation of the methods for user interaction for control and maintenance for both, the end users (customer GUI) and the operators (SCADA)

4. Real life demos

  • Evaluation of the proposed platform under a variety of conditions in real life test sites as well as in in-lab smart city emulation to obtain a complete evaluation of the provided features, i.e., improvement in energy efficiency, energy savings, CO2 production reduction, run time costs, etc.
  • Development of means allowing third parties (municipal authorities, energy distributors, etc.) to use our smart city energy emulation and evaluation tools to evaluate our platform for their input data, e.g., describing the energy consumption and production (weather) and user involvement prognosis
  • Definition of a guidebook for third parties interested in applying our platform in their environments covering the aspects related to the initial and run-time costs, as well as aspects related to the expected improvement of the energy efficiency and energy saving figures as well as analysis of socioeconomic means to improve these figures