Project Pillars

SunHorizon will focus on these three main research pillars interacting with each other to achieve project objectives and demonstration and replication of identified Technology Packages (TPs):

  1. Optimized design, engineering and manufacturing of SunHorizon technologies
  2. Smart monitoring systems for Heat & Cooling (H&C)
  3. Key performance indicator (KPI) driven management and demonstration

1. OPTIMIZED DESIGN, ENGINEERING AND MANUFACTURING OF SUNHORIZON TECHNOLOGIES

The goal of the project is to optimise the design and engineering of the SunHorizon technologies to optimise costs and performances and to couple them in a mutually beneficial way. Proper engineering R&D activities, industrial lab validation activities and SunHorizon pilot demonstration will be crucial to achieve the expected objectives. Moreover, proper targets per each technology have been set up.

2. SMART MONITORING SYSTEMS FOR H&C

Within the project, Schneider Electric SPA is promoting among its customers Building Energy Management System activities. Scheider Electric SPA wants to promote an optimised sensoring / monitoring platform towards cost saving in terms of equipment. Also, a tool will be responsible for collecting the data from local sensors and systems on field level, that will be securely transmitted to a cloud based database. Partners of the project have access to it.

Monitored data is crucial to develop a design under uncertainty engineering tool that will reduce CAPEX of the technologies as well as to develop proper control and predictive maintenance strategies to reduce OPEX.

3. KPI DRIVEN MANAGEMENT AND DEMONSTRATION

Nowadays, the smart operation of heating and cooling systems are gaining importance in order to efficiently manage the energy facilities. These intelligent systems ensure comfort levels as a constraint for the operation. Also, they balance the energy resources with the objective of covering the electricity, heating and cooling requirements. The combination of energy technologies and the development of integrated control systems are key aspects for the smart operation of the heating and cooling systems and the distributed energy resources.

To achieve these objectives is proposed an integrated control system, that combines monitoring, decision-making strategies, prediction techniques, self-learning, surveillance algorithms and end-users interaction. The core of this integrated control system is in the advanced decision-making strategies and prediction techniques that provide a new concept of multi-objective control.

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