The overall technological objectives of the GreenCom project are to:
- Develop a self-managing data and information network (HW, FW, MW) that can measure real-time data from energy consuming devices in homes, offices or commercial facilities in the low-voltage grid and forecast short-term energy consumption using time-resolved Data Models.
- Develop a new approach to data analysis and aggregation with decision support for providers that can be used to optimize the distribution of energy in and among microgrids, prevent or reduce critical peak situations and balance electricity load without adversely affecting grid stability.
- Develop a generic new data and control command network that can perform direct demand control of a large amount of heterogeneous energy consuming devices and subsystems in the low-voltage grid integrated with, and enabling, smart home installations with intelligent automation.
- Develop an energy generation and storage control network that supports “virtual” peer-to-peer energy exchange models at the community level, as opposed to the usual hierarchical approach, and which can optimise local exchange of energy within the grid at the community level.
The overall socio-economic objectives of the GreenCom project supporting the stated vision are to:
- Develop a business model framework based on the concept of dynamic value networks of actors such as energy providers, service providers, information providers, etc. that supports contractual demand control schemes, dynamic multi-tariffs, opportunities for load shifting, load shedding, storage utilisation, prioritisation of renewable energy, etc.
- Develop business cases that demonstrate to the energy provider the economic attractiveness of Smart Energy Management Systems and the GreenCom infrastructure in terms of shifting and optimising load on the grid, aligning the demand with needs and prices, maximized the use of renewable energy sources, and balance electricity load without adversely affecting grid stability.
- Develop business cases that allow consumers to actively engage in their energy supply and demand at the personal as well as at the community level and enable motivational schemes for energy efficiency, savings and delivery of electricity in the most cost effective and carbon friendly manner.
- Develop business cases that facilitate “virtual” peer-to-peer energy exchange between consumers and producers in the community and thus promote the construction and efficiency of renewable energy sources and storage technologies in the community and to and from the distribution grid.
The GreenCom project will develop easy to retrofit and maintain hardware and middleware tools with wireless or wired data collection and control capabilities and demonstrate seamless interoperability and self-discovery amongst multiple devices and sub-systems using machine-to-machine (M2M) middleware. To achieve these objectives, the GreenCom project leverages from the open source LinkSmart middleware developed in the previous Hydra project.
The Microgrid Manager (MGM) is the central components in the Smart Energy Management System. Each MGM performs data aggregation in near-real time across thousands of devices and sub-systems in hundreds of physical locations. It collects three-dimensional datasets of instantaneous measurement, time-resolved forecasts and context information. The MGM employs a data driven approach to profiling of the physical environment. To understand and predict energy needs, weather history and weather predictions are added to the analysis. So is grid topology in order to minimize transmission losses. Finally, the MGM analyses the individual data against prosumer contracts and energy policies with the aim to find, qualify and calculate economic value for a range of possible options for demand management in the grid.
As a decision support system for the energy distribution operator, the MGM is a very time critical application. The GreenCom has solved this challenge by allowing the MGM to leverage on pre-processed data in standardised data formats from several caching service components.
The GreenCom project will analyse and develop realistic business model for consumers, service providers, energy distributors, and other actors. New research will be undertaken into defining and measuring value creation in dynamic energy constellations, leading to innovative business structures involving energy providers and service providers in collaborative systems. Business modelling involves analysis and development of realistic, sustainable business models for all stakeholders in the value network.
Expected Project Outcomes
The main outcomes of the project are:
- A novel, integrated and interoperable, SOA architecture with LinkSmart middleware.
- A Smart Energy Management System that includes real-time demand control and response management, energy policy execution, integration with smart meters for billing and intelligent home management via gateways.
- Intelligent gateways and the Home Area Network that captures real-time consumption data from many heterogeneous devices and fuses it to Microgrid Manager for economic analysis/use.
- GreenCom gateways (hubs) that allow interoperability of measurement and control of M2M API equipped devices with heterogeneous protocols, thus enabling intelligent automation.
- Means for integrating local renewable energy sources into the Microgrid Manager for energy balance.
A Microgrid Manager that provides analysis and decision support for secure demand management in the low-voltage grid.
In-JeT’s role in the project
In-JeT is the concept developer of the GreenCom project. As manager of the workpackage on business models and requirements engineering, we are developing new business models for demand control in Smart Grids together with the energy provider EnergiMidt. We are then managing the iterative requirement process and develop procedures for capturing Lessons Learned and perform requirements re-engineering, constantly keeping the project aligned with its objectives and vision.
Co- funded by the European Commission 7th Framework Programme for Research