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The following article describes results of MOEEBIUS H2020 project which introduces a Holistic Energy Performance Optimization Framework that enhances current (passive and active building elements) modelling approaches with advanced user behaviour modelling and machine learning technologies to create an innovative suite of end-user tools and applications.
The Spanish Demonstrator in Castellon focuses on the enhancement of the MV and LV network automation and the awareness of the customers about their consumption and network situation.
Powervault returns to Crowdcube with its award winning home energy storage product, which reduces electricity bills and helps customers during blackouts. The Government says that energy storage is a game-changing technology which could save the UK £8bn/year as part of a "smart power revolution".
Tertiary sector buildings consume a sizeable proportion of EU total energy consumption and the majority of consumption is directly attributed to the operational phase of the building life-cycle. Occupant behaviour is a major cause of this consumption. OrbEEt proposes an ICT-based framework to induce behaviour change toward energy efficiency by transforming energy measurements into personalized feedback delivered through engaging user interfaces. To achieve this challenge, OrbEEt foresees dynamic, spatially fine-grained extensions of building-level Operational Rating methodologies and Display Energy Certificates to provide a detailed view of energy use in office spaces, business processes and organizational entities rather than entire buildings. The fusion of information from Building Information Models, Business Process Models and real-time energy use measurement via a comprehensive ICT cloud service - the Systemic Enterprise Operational Rating framework - will enable energy use tracking and will establish direct accountability of people, processes and spaces toward overall consumption.
The strategic goal of BESOS is to enhance existing neighbourhoods with decision support system to provide coordinated management of public infrastructures in Smart Cities, and at the same time provide citizens with information to promote sustainability and energy efficiency.
RealValue is a €15.5m European Horizon 2020 energy storage project, which aims to use a combination of physical demonstrations in Ireland, Germany and Latvia along with innovative modelling techniques, in order to demonstrate how local small-scale energy storage, optimised across the whole EU energy system, with advanced ICT, could bring benefits to all market participants.
TILOS demonstrates the optimal integration of local scale battery storage in a smart island microgrid and challenges the interplay between storage, DSM and interconnection. By encouraging public engagement, TILOS addresses the social aspects of community storage and seeks for the development of novel business models.
Estfeed project built a software platform capable to integrate many data sources and to provide appropriate services to convert these data into valuable information for energy flexibility management, energy efficiency, audit and benchmarking.
ENERGISE is a research project of the EU Commission established to perform an analysis for smart grid communication infrastructure together with the different parties on governmental, industrial, DSO and TSO side. The main focus is on identifying the different factors which determine if a dedicated or shared communication infrastructure should be used and aid the decision-making for solution deployment. At the same time the different parties are brought together during workshops and on-site visits in order to enhance the interdisciplinary communication and exchange of knowledge.
UPGRID is a research and development project under the European H2020 program that relies on 19 partners from 7 European countries, and 4 demonstrators (Spain, Portugal, Sweden and Poland) supported by different transversal work packages that define the demo scope and analyses their results and impacts based on the project objectives. It involves partners with different expertise in the energy field: DSOs, equipment manufacturers and research centres. It is led by Iberdrola Distribución, S.A.U. The project started in January 2015 for a duration of 36 months.
This paper describes the EU H2020 demonstration project STORY. During the 5 year duration 8 demonstrations in 5 countries will present different business models using various types of small scale thermal and electrical storage technologies. The results of those demonstrations are used in a large scale rollout impact assessment. A policy and regulatory framework will be proposed that facilitates the implementation of the most promising business cases.
The I3RES project was financed by the European Commission under the Seventh Framework Programme and more specifically the call ICT-2011.6.1 on Smart Energy Grids. As a result, the I3RES Management Tool was developed.
The current generation of smart grid demonstration projects is very much focused on technology and the functioning of electricity grids. There is little insight in the behaviour of consumers in a connected living environment. Nor is there a comprehensive view on the potential participation of small end-consumers into power markets. Nevertheless, the success of active load and demand-side management strongly depends on appropriate technologies, incentives and consumer acceptance.
Started in November 2011 for a duration of 51 months, this FP7 project lays the groundwork for the development of tomorrow's electricity grids. It will test the potential of smart grids in areas such as the integration of DER, the integration of small-scale storage, the integration of electric vehicles (EVs), grid automation, energy efficiency and load shaping.
The ADVANCED project (Active Demand Value ANd Consumers Experiences Discovery) is a research project co-funded by the European Community’s Seventh Framework Programme (FP7/2007-2013). It aims at developing actionable frameworks enabling residential, commercial and industrial consumers to participate in AD (active demand) thus contributing to AD mass deployment in Europe.
SiNGULAR investigates the effects of large-scale integration of renewables and demand-side management on the planning and operation of insular electricity grids, proposing efficient measures, solutions and tools towards the development of a sustainable and smart grid.
The E-Energy project Model City Mannheim (“moma”), which was designed and implemented within the German E-Energy programme (2008 – 2012 ) developed an energy system architecture based on the natural cellular structure of objects and thereby enabled a multi-field-solution for the utilization of renewable energy sources to the largest possible extent and the Integration of small-scale storage units.
The consumer behaviour with regard to adapting their consumption to new price signals has been tested and controversially discussed for years. As a result, the E-Energy model region Model City Mannheim (moma) had declared customer research as one of their main focus areas. The idea of the complex tariff system fully deployed during the third field trial was not only to transfer changing energy prices from e.g. the EPEX spot market or the availability of renewable energy on the local distribution grid, but also to deliberately test price spreads and thus the price elasticity of customer decisions made on electricity consumption.
In a field test, various energy feedback methods produced average electricity savings of 6.7 %, which because of the level of variance is of uncertain statistical significance and cannot be directly attributed to a particular feedback method. On the whole, feedback on electricity consumption is a valuable source of information for residential customers despite them losing interest. Generating an added value by integrating other services would offer a potential improvement. The same can be said for recommendations for shifting time of consumption in order to decrease electricity costs (a further value added feature). A decentralized solution for real-time feedback is recommended due to its lower costs. Data would be transferred from the smart meter to a gateway or a local computer and then visualized.
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