Abstract
Information and communication technologies (ICT) offer immense potential to improve the energetic performance of buildings. Additionally, common building control systems are typically based on simple decision-making tools, which possess the ability to obtain controllable parameters for indoor temperatures. Nevertheless, the accuracy of such common building control systems is improvable with the integration of advanced decision-making techniques embedded into software and energy management tools. This paper presents the design of a building energy management system (BEMS), which is currently under development, and that makes use of artificial intelligence for the automated decision-making process required for optimal comfort of occupants and utilization of renewables for achieving energy-efficiency in buildings. The research falls under the scope of the H2020 project BREASER which implements fuzzy logic with the aim of governing the energy resources of a school in Turkey, which has been renovated with a ventilated façade with integrated renewable energy sources (RES). The BRESAER BEMS includes prediction techniques that increase the accuracy of common BEMS tools, and subsequent energy savings, while ensuring the indoor thermal comfort of the building occupants. In particular, weather forecast and simulation strategies are integrated into the functionalities of the overall system. By collecting the aforementioned information, the BEMS makes decisions according to a well-established selection of key performance indicators (KPIs) with the objective of providing a quantitative comparable value to determine new actuation parameters.
Highlights
As it is stated in the European Commission Energy 2020 Strategy, “Energy is the life blood of our society ( . . . )
The purpose of this paper is to show how information and communication technologies (ICT) cannot be neglected in reaching Europe’s 2020 strategy by implementing a building energy management systems (BEMS) that can be used to balance various energy sources, facilitate renewables uptake, and ensure energy efficiency at a scalable building level
Within BRESAER, designing the building model is based on both the BEMS platform architecture and the stock-specific simulation approach, with each being implemented under a three-level framework, aiming at reducing the complexity and, the costs
Summary
As it is stated in the European Commission Energy 2020 Strategy, “Energy is the life blood of our society ( . . . ). The BRESAER (BREakthrough Solutions for Adaptable Envelopes in building Refurbishment) project [2] aims to turn the building envelope into an active element rather than a passive one, meeting more functions than just the separation of the exterior from the interior with insulation, and enabling it to adapt to a dynamic environment and to building occupants requirements during its lifetime This new active envelope system needs to be governed with ICT, and a BEMS with advanced prediction capabilities is the optimal means to balance the associated energy sources in an optimized way. It measures and controls both the envelope’s active components and related energy consuming devices using integrated, simulation-based control techniques for automating the establishment, and monitoring of optimal energy-related operational plans for a building. More complex BEMS solutions, are dedicated to model-predictive controllers, for example where building models and behavioral equations are integrated to improve the overall energy performance of the building [6,7]
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