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Smart Energy Automation System - advanced artificial intelligence and predictive systems for energy optimization and savings in all buildings / infrastructures

Project description

Smart automation system to reduce building energy costs and consumption

Building automation systems help monitor and regulate the operation of building equipment and systems such as heating, ventilation, air conditioning and lighting to optimise performance and energy use. The EU-funded SEAS project plans to develop an IoT-based modular system – a hardware platform and software – to significantly reduce the energy bills of commercial and industrial buildings. Underpinned by an advanced artificial intelligence algorithm, the system will take as input the vast amount of data derived from smart meters, temperature and humidity sensors, and renewable energy generation systems and efficiently manage energy and consumption costs.

Objective

Despite recent investments in smart grid infrastructure and energy management systems, commercial and industrial buildings still waste 30% of their energy consumption on average. This wastage is mainly caused by a lack of automation in the way that energy is consumed and managed.
AKSE’s Smart Energy Automation System (SEAS) is a software/hardware platform that incorporates the vast amounts of data from smart grid devices such as smart meters, temperature and humidity sensors and renewable energy generation to intelligently control the energy consumption of commercial and industrial buildings and infrastructures. Our platform is underpinned by a unique artificial intelligence algorithm that will increase energy efficiency and cut consumption costs. We already have a number of companies interested in adopting the technology, included renowned automotive manufacturer Iveco.
In the growing automated smart energy systems market – set to reach €6.44 billion by 2021 – , we expect SEAS technology to contribute €25.5 million of accumulated revenues to our business by 2024.
Practically, SEAS solution is an automated IoT-based modular platform with self-configuration and adaptation abilities. The platform is flexible, allowing the smart energy meters and wireless applications to be integrated as need arises or as technology advances. Moreover, automation is essential on IoT due to the number and diversity of devices connected which would otherwise make remote or Cloud-based control virtually impossible.

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

AKSE SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
VIA ALDO MORO N.39
42124 REGGIO EMILIA
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Nord-Est Emilia-Romagna Reggio nell’Emilia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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