Search results for "Building"

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…

Life Cycle Energy Consumption and Air Emissions Comparison of Alternative and Conventional Bus Fleets in Vietnam

2022

The study (a) assesses the life cycle energy consumption and air emissions impacts of battery electric buses (e-buses) and conventional buses operated in Vietnam, and (b) compares them with those of hydrogen buses. The results indicate that e-buses and hydrogen buses are preferred options compared to conventional buses in terms of energy consumption, GHG emissions and other air quality impacts over their whole life cycle. Life cycle energy consumption of diesel buses is triple that of e-buses, and is significantly higher than that of hydrogen buses. Replacing conventional buses with e-buses can reduce energy consumption by 50%. For GHG emissions and air quality impacts, the adoption of elec…

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…

An Embedded System for the integration of a Combined Photovoltaic Solar (CPS) system into a ZigBee Home Area Network

2011

In this paper is reported the design and implementation of an electronic system capable of communicating over a standard ZigBee network in order to let a residential gateway collector, named agent, gain access to the parameters of a Combined Photovoltaic and Solar thermal (CPS) plant, thus realizing a networked energy production appliance . The system is made of three parts: a PV metering device, a boiler metering device also capable of controlling a heating resistor embedded within the boiler tank, and a data collector acting as a ZigBee node. The data collector device periodically retrieves the following parameters from the metering devices: instantaneous photovoltaic power production, ac…

The FP7 BeyWatch European scientific project: general features and design criteria of the Combined Photovoltaic Solar (CPS) system within the BEYWATC…

2011

This paper includes the general features and design criteria of a combined photovoltaic solar system (CPS) and its allocation within the entire architecture of the BeyWatch system. The CPS main functionalities and characteristics, the description of the CPS main components and the CPS electronic control and monitoring subsystem, together with the description of the Firmware design and communication protocols are here reported. The Combined Photovoltaic and Solar system (CPS) is a Renewable Energy system that produces thermal and electrical energy and the design has been based on a modular approach.

Intelligent Management Systems for Energy Efficiency in Buildings: A Survey

2014

In recent years, reduction of energy consumption in buildings has increasingly gained interest among researchers mainly due to practical reasons, such as economic advantages and long-term environmental sustainability. Many solutions have been proposed in the literature to address this important issue from complementary perspectives, which are often hard to capture in a comprehensive manner. This survey article aims at providing a structured and unifying treatment of the existing literature on intelligent energy management systems in buildings, with a distinct focus on available architectures and methodology supporting a vision transcending the well-established smart home vision, in favor o…

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, …

Ambient Intelligence for Energy Efficiency in a Complex of Buildings

2013

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.

An Approach to Enhance Chatbot Semantic Power and Maintainability: Experiences within the FRASI Project

2012

The paper illustrates the implementation and semantic enhancement of a domain-oriented Question-Answering system based on a pattern-matching chat bot technology, developed within an industrial project, named FRASI. The main difficulty in building a KB for a chat bot is to handwrite all possible question-answer pairs that constitute the KB. The proposed approach simplifies the chat bot realization thanks to two solutions. The first one uses an ontology, which is exploited in a twofold manner: to construct dynamic answers as a result of an inference process about the domain, and to automatically populate, off-line, the chat bot KB with sentences that can be derived from the ontology, describi…