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SmArt BI-directional multi eNergy gAteway

Periodic Reporting for period 2 - SABINA (SmArt BI-directional multi eNergy gAteway)

Reporting period: 2018-05-01 to 2019-10-31

SABINA is an EU funded H2020 research and innovation project that aims to develop new technology along with financial models that will connect, control and actively manage thermal and electric networks using generation and storage assets in order to exploit synergies between electrical requirements and the thermal inertia of buildings, whilst allowing aggregators to provide flexibility and balancing services to the grid. SABINA will aim to maximise the usage of variable renewable energy sources by converting excess electrical energy to heat or cold and storing it using the thermal inertia of buildings. Provision for aggregation at district level will be provided to maximise the effect of SABINA.
The above will be achieved by the development of the following:
• Automatic identification of the thermal inertia of buildings using a minimal set of temperature sensors;
• Building consumption and production prediction algorithms;
• Management algorithms to improve district and end-user based renewables integration by finding the optimal operating point of electric space conditioning systems and set-point of the thermal sub-station;
• An aggregation tool to provide services to network operators and parties responsible for balancing;
• A novel generation of 'Remote Terminal Unit' (RTU) capable of advanced sensing and communication capabilities.
SABINA will guarantee the quality of supply at all times in distribution networks that have a high penetration of distributed generation through optimal control of grid-feeding invertors (devices that convert the DC voltage coming from renewable energy systems such as wind and photovoltaics directly into AC power to match the grid) and promote a novel business model that favours deployment at a wide scale with reduced CAPEX and OPEX costs and thus facilitate more renewable energy integration. The proposed system will be compliant with current norms and standards whilst identifying gaps and preparing recommendations for standardization bodies.
The main objectives of the SABINA project have been translated into planned work described in a number of Work packages (WP).
WP1: System specifications and requirements: The objective of the first task was to carry out a desk top review and market survey to understand existing companies offering similar technologies, research projects exploring similar areas and current incentives that could contribute to the commercialisation of SABINA. The second task derived the technical specification of the SABINA system and served to provide all partners with clear guidelines regarding what needs to be provided by individual systems and algorithms to be developed in subsequent work packages. The third task focused on establishing the ground for the successful testing and validation of the system both at laboratory and test site environments.
WP2: Building thermal inertia identification: The objective of the first task was to prepare a common simulation environment for all partners based on standard tools. The second task involved development and improvement of an automatic building thermal identification using synthetic data from the library of buildings established in the first task (the methodology was tested with real data once available). The third task involved model integration to customise the building simulation model so that it fits the test site description. The final task of WP2 involved validation of developed models using the International Performance Measurement and Verification Protocol (IPMVP).
WP3: Management algorithms development. The first task focussed on development of algorithms that are able to forecast the building electric and thermal consumption including electric vehicle charging consumption. The second task involved development of a supervisory layer for optimal control of photovoltaic inverters to guarantee power quality at all times. The third task is working towards development of a management algorithm that will find the optimal operating point of the electric to heat/cold appliances (for instance heat pump or chiller) as well as the set-point of the thermal sub-station. The final task focused on development of an aggregator tool that would serve as the core for the SABINA project.
WP4: Hardware adaptation and system integration: All tasks are finished and relate to development and integration of the bi-directional gateway at the building level, implementation of the aggregator tool, remote terminal unit adaptation and systems integration.
WP5: Simulation and lab testing. WP5 has progressed quite well as a result of the satisfactory collaboration and high engagement of the partners involved and considering the high complexity of the task. The activities completed within WP5 all the planned ones, related to the implementation and testing of the SABINA solution at IREC laboratories test site.
WP6: System validation at the test site: The final test sites were equipped for hosting SABINA technology. The next step will be to test and evaluate SABINA under real conditions, to analyse the results for further improvements and to enhance the replicability of the technology in future applications by creating a system’s roadmap.
The main objective of SABINA is to provide a beyond state of the art technological solution that brings services to the medium and low voltage grid and will be on the market within five to ten years. SABINA focuses on energy storage and synergies between electric and thermal network and is inherently compatible with demand-response.
Automatic building thermal inertia identification: Building thermal inertia identification is a key point in the SABINA project. A methodology has been developed to automatically obtain a calibrated simulation model that matches the real building thermal behaviour and energy consumption.
Management at building level: Building consumption and production algorithms have been developed that automatically adjust to buildings’ specificities and are able to forecast with a high level of precision the building electric and thermal consumption and forecast renewable production.
Guarantee quality of supply at all times in distribution networks with high penetration of distributed generation with optimal control of grid-feeding inverters: A supervisory layer has been provided to ensure the control of inverters is optimal i.e. maintains voltage values as close as possible to their nominal values while minimising line losses in the distribution network. A simulation environment has been implemented for electrical grid visualisation, power flow and quasi-dynamic calculations. In addition, several visualisation and optimisation tools have been developed.
Aggregation and management at district level: An aggregation tool is under development that will serve as the core for the SABINA project. Once fully developed and integrated it will enable services to be provided to networks operators (power grid and heat grid) and balancing responsible parties (power market).
Novel RTU A novel generation of RTU is being developed to advance sensing and communication capabilities and functionalities in the distribution network.
Novel business model: A novel business model is under development that will encourage the wide scale deployment of SABINA at a reduced cost (CAPEX and OPEX) both for end-users and grid managers and thus allows more renewable energy integration.
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