Project Pillars

SunHorizon will focus on three main research pillars interacting with each other towards the achievement of project objectives and demonstration and replication of identified TPs.

i) 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 optimize costs and performances as well as to couple them in a mutually beneficial way. To do so proper engineering R&D activities, industrial lab validation activities and SunHorizon pilot demonstration will be crucial. Proper targets per each technology have been set up.

ii) SMART MONITORING SYSTEMS FOR H&C

SE is promoting among its customers Building Energy Management System activities. In SunHorizon SE is going to promosed an optimised sensoring/monitoring platform (towards cost saving in terms of equipment) and tool that will be responsible for collecting the data from local sensors and systems on field level and transmit them securely in a cloud based database for
partners of the project to access it.

Monitored data will be 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)

 

iii) 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 at the same time than balancing the energy resources with the objective of covering the electricity, heating an cooling requirements. Hence, the key aspect is the combination of energy technologies and the development of integrated control systems for the smart operation of the heating and cooling systems and distributed energy resources.

To achieve the objectives, it 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 lies in the advanced decision-making strategies and prediction techniques that provide a new concept of multi-objective control.