Search results for "Building automation"

Calculation of Energy Performance Indices of Daylight Linked Control Systems by Monitored Data

2017

The actual performances of Building Automation systems are often lower than the ideal ones. In order to investigate the actual performance of a Building Automation system for lighting control, a large stock of collected data, including indoor illuminance and absorbed electric power, have been presented and analysed in this paper. The measures have been taken during one year, in a laboratory located at the University of Palermo, where different lighting control systems, produced by two different manufacture companies, have been installed. As demonstrated in literature, many factors affecting energy savings’ evaluation in lighting control systems are the position and the typology of the senso…

Automated control systems for indoor lighting: from design to actual performances' assessment

In recent years, but already around 1980, many buildings have been equipped with Building Automation and Control (BAC) systems. These systems were applied as a normal upgrade of traditional systems in different field of the industrial sector. In general, they can be applied to the building plants in order to carry out a series of functions. The main benefits of the installation of this kind of system are well known. First of all, it has been shown that BACs systems installation increases the energy savings and because using many typologies of sensors (e.g. presence detectors to control lighting system) and because, by monitoring the data it is possible to modify plant’s strategies and also …

Methods to Predict Energy Use for Lighting Systems: An Overview and an Application on a Real Case Study

2022

The study of Demand Response strategies application is widely related to the evaluation of the energy consumption. It is fundamental to optimize the design and management of the plants in the smart buildings. During the design steps, it is necessary to predict the above-mentioned energy consumption. This paper reviews some methods that can be applied to predict energy consumption related to lighting systems. In particular, three categories of methods have been analysed: methods proposed by technical standards, methods based on mathematical indices for daylight assessment, and methods based on simulation models. These methods have been described and applied by calculating the energy consumpt…

Experimental Set up of Advanced Lighting Systems for Load Shifting Strategies

2021

Shiftable and modulable loads are an essential part of smart grids in the effort for improving the efficiency of the power system and providing new ancillary services. Most of the researches considered shiftable loads and the impact on the power grid. Smart lighting systems are able to modulate their consumption while preserving the visual duty, therefore they can take part to this action. In this context, this paper presents an advanced experimental setup implemented in the SolarLab of the University of Palermo, with the aim of studying the impact on the end-user's energy consumption and on the power grid of smart lighting systems. In this light, different control strategies will be consid…

A fog-based hybrid intelligent system for energy saving in smart buildings

2019

In recent years, the widespread diffusion of pervasive sensing devices and the increasing need for reducing energy consumption have encouraged research in the energy-aware management of smart environments. Following this direction, this paper proposes a hybrid intelligent system which exploits a fog-based architecture to achieve energy efficiency in smart buildings. Our proposal combines reactive intelligence, for quick adaptation to the ever-changing environment, and deliberative intelligence, for performing complex learning and optimization. Such hybrid nature allows our system to be adaptive, by reacting in real time to relevant events occurring in the environment and, at the same time, …

Evaluating Correlations in IoT Sensors for Smart Buildings

2021

International audience; In this paper we introduce a dataset of environmental information obtained via indoor and outdoor sensors deployed in the SMART Infrastructure Facility of the University of Wollongong (Australia). The acquired dataset is also made open-sourced along with this paper. We also propose a novel approach based on an evolutionary algorithm to determine pairs of correlated sensors. We compare our approach with three other standard techniques on the same dataset: on average, the accuracy of the evolutionary method is about 62,92%. We also evaluate the computational time, assessing the suitability of the proposed pipeline for real-time applications.

Definition and application of innovative control logics for residential energy optimization

2014

In this paper different innovative control logics for electric and thermal loads control in residential buildings are presented. The designed control logics are implementable in residential buildings thanks to Building Automation Control Systems (BACS) and Technical Building Management (TBM) systems. They have been tested using a simulation tool developed by the authors that is able to assess their effects on residential buildings having various characteristics and equipments. An application example is presented.

Dynamic Demand and Mean-Field Games

2017

Within the realm of smart buildings and smart cities,\ud dynamic response management is playing an ever-increasing\ud role thus attracting the attention of scientists from different\ud disciplines. Dynamic demand response management involves a\ud set of operations aiming at decentralizing the control of loads\ud in large and complex power networks. Each single appliance\ud is fully responsive and readjusts its energy demand to the\ud overall network load. A main issue is related to mains frequency\ud oscillations resulting from an unbalance between supply and\ud demand. In a nutshell, this paper contributes to the topic by\ud equipping each signal consumer with strategic insight. In particu…

A Review on Applications of Big Data for Disaster Management

2017

International audience; The term " disaster management " comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability …

Know Beyond Seeing: Combining Computer Vision with Semantic Reasoning

2018

International audience; To date, computer vision systems are limited to extract the digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by considering the environment and common-sense knowledge. A new approach to combine computer vision with semantic modeling has been developed. This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows protecting the privacy of the users, to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as …