Objective
The growing share of variable renewable energy necessitates flexibility in the electricity system, which flexible energy generation, demand side participation and energy storage systems can provide. SIMBLOCK will develop innovative demand response (DR) services for smaller residential and commercial customers, implement and test these services in three pilot sites and transfer successful DR models to customers of Project partners in further European countries. The pilot sites are blocks of highly energy efficient buildings with a diverse range of renewable and cogeneration supply systems and requisite ICT infrastructure that allows direct testing of DR strategies. SIMBLOCK’s main objectives are to specify the technical characteristics of the demand flexibility that will enable dynamic DR; to study the optimal use of the DR capability in the context of market tariffs and RES supply fluctuations; and to develop and implement market access and business models for DR models offered by blocks of buildings with a focus on shifting power to heat applications and optimization of the available energy vectors in buildings. Actions toward achieving these objectives include: quantifying the reliability of bundled flexibility of smaller buildings via pilot site monitoring schemes; combining innovative automated modelling and optimization services with big data analytics to deliver the best real time DR actions, including motivational user interfaces and activation programs; and developing new DR services that take into account the role of pricing, cost effectiveness, data policies, regulations, and market barriers to attain the critical mass needed to effectively access electricity markets. SIMBLOCK’s approach supports the Work Program by maximizing the contribution of buildings and occupants and combining decentralized energy management technology at the blocks of building scale to enable DR, thereby illustrating the benefits achievable (e.g. efficiency, user engagement, cost).
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power generationcombined heat and power
- social scienceseconomics and businessbusiness and managementbusiness models
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
70174 Stuttgart
Germany
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Participants (16)
08034 Barcelona
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08174 Sant Cugat Del Valles
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08172 Sant Cugat Del Valles
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71543 Wuestenrot
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74523 Schwabisch Hall
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72124 Pliezhausen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2800 Delemont
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Participation ended
9200 Gossau Sg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3900 Brig
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4 Dublin
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1210 Wien
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2600 Antwerpen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
13090 Aix En Provence
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
76131 Karlsruhe
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W1T 4EZ London
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BS2 8JH Bristol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.