Savani: A variable resolution whole-mantle model of anisotropic shear velocity variations based on multiple data sets

International audience

The study of the impact of demand controlled ventilation in energy consumption of offices in Portuguese commercial buildings

Indoor Air 2016 - The 14th International Conference of Indoor Air Quality and Climate

Predictive models of buildings energy consumption

Dissertação de Mestrado, Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Energy consumption and energy efficiency in olive oil mills: case studies in Portugal and Spain in the frame of TESLA project

TESLA project (Transfering Energy Save Laid on Agroindustry) financed by the European Commission, had the main goals of evaluating the energy consumption and to identify the best available practices to improve energy efficiency in key agro-food sectors, such as the olive oil mills. A general analysis of energy consumptions allowed identifying the partition between electrical and thermal energy (approximately 50%) and the production processes responsible for the higher energy consumptions, as being the in the mill and paste preparation and the phases separation. Some measures for reducing energy waste and for improving energy efficiency were identified and the impact was evaluated by using the TESLA tool developed by Circe and available at the TESLA website.

Part load operation coefficient of air-conditioning system of public building

IPLV overall coefficient, presented by Air-Conditioning and Refrigeration Institute (ARI) of America, shows running/operation status of air-conditioning system host only. For overall operation coefficient, logical solution has not been developed, to reflect the whole air-conditioning system under part load. In this research undertaking, the running time proportions of air-conditioning systems under part load have been obtained through analysis on energy consumption data during practical operation in all public buildings in Chongqing. This was achieved by using analysis methods, based on the statistical energy consumption data distribution of public buildings month-by-month. Comparing with the weight number of IPLV, part load operation coefficient of air-conditioning system, based on this research, does not only show the status of system refrigerating host, but also reflects and calculate energy efficiency of the whole air-conditioning system. The coefficient results from the processing and analyzing of practical running data, shows the practical running status of area and building type (actual and objective) – not clear. The method is different from model analysis which gets IPLV weight number, in the sense that this method of coefficient results in both four equal proportions and also part load operation coefficient of air-conditioning system under any load rate as necessary.

Análise de métodos de predição de conforto térmico de habitação em clima quente-úmido com condicionamento passivo

The assessment of building thermal performance is often carried out using HVAC energy consumption data, when available, or thermal comfort variables measurements, for free-running buildings. Both types of data can be determined by monitoring or computer simulation. The assessment based on thermal comfort variables is the most complex because it depends on the determination of the thermal comfort zone. For these reasons, this master thesis explores methods of building thermal performance assessment using variables of thermal comfort simulated by DesignBuilder software. The main objective is to contribute to the development of methods to support architectural decisions during the design process, and energy and sustainable rating systems. The research method consists on selecting thermal comfort methods, modeling them in electronic sheets with output charts developed to optimize the analyses, which are used to assess the simulation results of low cost house configurations. The house models consist in a base case, which are already built, and changes in thermal transmittance, absorptance, and shading. The simulation results are assessed using each thermal comfort method, to identify the sensitivity of them. The final results show the limitations of the methods, the importance of a method that considers thermal radiance and wind speed, and the contribution of the chart proposed

Análise operacional e econômica do processamento de madeira de Eucalitpo com Hypro em região montanhosa

O processo constante de avaliação técnica e econômica dos sistemas de colheita de madeira é intrínseco às empresas florestais, devido ao fato de corresponder a uma fase de suma importância que despende elevado investimento financeiro. No experimento deste trabalho, estudaram-se o rendimento operacional e custos operacionais e de produção do processador florestal Hypro. A análise técnica englobou estudos de tempos e movimentos pelo método de tempo contínuo. O rendimento operacional foi determinado através do volume, em metros cúbicos de madeira processada. A análise econômica incorporou os parâmetros do custo operacional, custo de processamento da madeira e rendimento energético. A análise dos dados evidenciou que o rendimento operacional por hora efetiva de trabalho foi de 38 árvores e, em metros cúbicos sem casca por hora efetiva de trabalho, de 11,68 m³ h-1, com custo de processamento de madeira sem casca de US$ 6.85 por metro cúbico.

Roteamento em Redes de Sensores Sem Fios Com Base Em Aprendizagem Por Reforço

The use of wireless sensor and actuator networks in industry has been increasing past few years, bringing multiple benefits compared to wired systems, like network flexibility and manageability. Such networks consists of a possibly large number of small and autonomous sensor and actuator devices with wireless communication capabilities. The data collected by sensors are sent directly or through intermediary nodes along the network to a base station called sink node. The data routing in this environment is an essential matter since it is strictly bounded to the energy efficiency, thus the network lifetime. This work investigates the application of a routing technique based on Reinforcement Learning s Q-Learning algorithm to a wireless sensor network by using an NS-2 simulated environment. Several metrics like energy consumption, data packet delivery rates and delays are used to validate de proposal comparing it with another solutions existing in the literature

Consumo de energia elétrica e desenvolvimento sócio-econômico nas regiões de Botucatu e Avaré

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

A proposal for a Business Framework targeted at emerging business services and applications

Un Service Business Framework consiste en una serie de componentes interrelacionados que permiten la gestión de servicios de negocio a través de su ciclo de vida, desde su creación, descubrimiento y comparación, hasta su monetización (incluyendo un posible reparto de beneficios). De esta manera, el denominado FIWARE Business Framework trata de permitir a los usuarios de la plataforma FIWARE mejorar sus productos con funcionalidades de búsqueda, describrimiento, comparación, monetización y reparto de beneficios. Para lograr este objetivo, el Business Framework de FIWARE proporciona la especificación abierta y las APIs de una serie de components (denominados \Generic Enablers" en terminología FIWARE), junto con una implementación de referencia de las mismas pueden ser facilmente integradas en los sitemas existentes para conseguir aplicaciones con valor a~nadido. Al comienzo de este trabajo de fin de master, el Business Framework de FIWARE no era lo suficientemente maduro como para cubrir los requisitos de sus usuarios, ya que ofrecía modelos demasiado generales y dejaba algunas funcionalidades clave para ser implementadas por los usuarios. Para solucionar estos problemas, el principal objectivo desarrollado en el contexto de este trabajo de fin de master ha consistido en mejorar y evolucionar el Business Framework de FIWARE para dar respuesta a las demandas de sus usuarios. Para alcanzar el pricipal objetivo propuesto, el Business Framework de FIWARE ha sido evaluado usando la información proporcionada por los usuarios de la plataforma, principalmente PyMEs y start-ups que usan este framework en sus soluciones, con el objetivo de obtener una lista de requisitos y de dise~nar a partir de éstos un roadmap de evolución a 6 meses. Después, los diferentes problemas identificados se han tratado uno por uno dando en cada caso una solución capaz de cubrir los requisitos de los usuarios. Finalmente, se han evaluado los resultados obtenidos en el proyecto integrando el Business Framework desarrollado con un sistema existente para la gestión de datos de consusmo energético, construyendo lo que se ha denominado Mercado de Datos de Consumo Energético. Esto además ha permitido demostrar la utilidad del framework propuesto para evolucionar una plataforma de datos abiertos bien conocida como es CKAN a un verdadero mercado de datos.---ABSTRACT---Service Business Frameworks consist on a number of interrelated components that support the management of business services across their whole lifecycle, from their creation, publication, discovery and comparison, to their monetization (possibly including revenue settlement and sharing). In this regard, the FIWARE Business Framework aims at allowing FIWARE users to enhance their solutions with search, discovery, comparison, monetization and revenue settlement and sharing features. To achieve this objective, the FIWARE Business Framework provides the open specification and APIs of a comprehensive set of components (called Generic Enablers in FIWARE terminology), along with a reference implementation of these APIs,, that can be easily integrated with existing systems in order to create value added applications. At the beginning of the current Master's Thesis, the FIWARE Business Framework was not mature enough to cover the requirements of the its users, since it provided too general models and leaved some key functionality to be implemented by those users. To deal with these issues, the main objective carried out in the context of this Master's Thesis have been enhancing and evolving the FIWARE Business Framework to accomplish with the demands of its users. For achieving the main objective of this Master's Thesis, the FWARE Business Framework has been evaluated using the feedback provided by FIWARE users, mainly SMEs and start-ups, actually using the framework in their solutions, in order to determine a list of requirements and to design a roadmap for the evolution and improvement of the existing framework in the next 6 months. Then, the diferent issues detected have been tackle one by one enhancing them, and trying to give a solution able to cover users requirements. Finally, the results of the project have been evaluated by integrating the evolved FIWARE Business Framework with an existing system in charge of the management of energy consumption data, building what has been called the Energy Consumption Data Market. This has also allowed demonstrating the usefulness of the proposed business framework to evolve CKAN, a renowned open data platform, into an actual, fully- edged data market.

An Analysis of U.S. Air Force Policy and Installation CO2 Emissions to Determine Best Practices for the Implementation of Executive Order 13514

United States Air Force (USAF) energy policy is a measured but aggressive response to federal energy policy guidance. Previous USAF efforts, like those of the federal government, focused primarily on energy intensity reduction, cost, and BTU savings, and in certain cases have resulted in facility greenhouse gas (GHG) emission reductions. The USAF now faces the challenge of integrating GHG reduction goals and inventory requirements set forth in Executive Order 13514. Using USAF reported energy consumption data, facility GHG emission estimates have been synthesized to identify trends and elucidate existing energy best practices to be applied as part of overarching USAF GHG mitigation efforts and to highlight areas of possible concern for the integration of EO 13514 into operational USAF policy.

Análise de métodos de predição de conforto térmico de habitação em clima quente-úmido com condicionamento passivo

The assessment of building thermal performance is often carried out using HVAC energy consumption data, when available, or thermal comfort variables measurements, for free-running buildings. Both types of data can be determined by monitoring or computer simulation. The assessment based on thermal comfort variables is the most complex because it depends on the determination of the thermal comfort zone. For these reasons, this master thesis explores methods of building thermal performance assessment using variables of thermal comfort simulated by DesignBuilder software. The main objective is to contribute to the development of methods to support architectural decisions during the design process, and energy and sustainable rating systems. The research method consists on selecting thermal comfort methods, modeling them in electronic sheets with output charts developed to optimize the analyses, which are used to assess the simulation results of low cost house configurations. The house models consist in a base case, which are already built, and changes in thermal transmittance, absorptance, and shading. The simulation results are assessed using each thermal comfort method, to identify the sensitivity of them. The final results show the limitations of the methods, the importance of a method that considers thermal radiance and wind speed, and the contribution of the chart proposed

Análise de métodos de predição de conforto térmico de habitação em clima quente-úmido com condicionamento passivo

The assessment of building thermal performance is often carried out using HVAC energy consumption data, when available, or thermal comfort variables measurements, for free-running buildings. Both types of data can be determined by monitoring or computer simulation. The assessment based on thermal comfort variables is the most complex because it depends on the determination of the thermal comfort zone. For these reasons, this master thesis explores methods of building thermal performance assessment using variables of thermal comfort simulated by DesignBuilder software. The main objective is to contribute to the development of methods to support architectural decisions during the design process, and energy and sustainable rating systems. The research method consists on selecting thermal comfort methods, modeling them in electronic sheets with output charts developed to optimize the analyses, which are used to assess the simulation results of low cost house configurations. The house models consist in a base case, which are already built, and changes in thermal transmittance, absorptance, and shading. The simulation results are assessed using each thermal comfort method, to identify the sensitivity of them. The final results show the limitations of the methods, the importance of a method that considers thermal radiance and wind speed, and the contribution of the chart proposed

ERTP : Energy-efficient and reliable transport protocol for data streaming in wireless sensor networks

Emerging data streaming applications in Wireless Sensor Networks require reliable and energy-efficient Transport Protocols. Our recent Wireless Sensor Network deployment in the Burdekin delta, Australia, for water monitoring [T. Le Dinh, W. Hu, P. Sikka, P. Corke, L. Overs, S. Brosnan, Design and deployment of a remote robust sensor network: experiences from an outdoor water quality monitoring network, in: Second IEEE Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2007), Dublin, Ireland, 2007] is one such example. This application involves streaming sensed data such as pressure, water flow rate, and salinity periodically from many scattered sensors to the sink node which in turn relays them via an IP network to a remote site for archiving, processing, and presentation. While latency is not a primary concern in this class of application (the sampling rate is usually in terms of minutes or hours), energy-efficiency is. Continuous long-term operation and reliable delivery of the sensed data to the sink are also desirable. This paper proposes ERTP, an Energy-efficient and Reliable Transport Protocol for Wireless Sensor Networks. ERTP is designed for data streaming applications, in which sensor readings are transmitted from one or more sensor sources to a base station (or sink). ERTP uses a statistical reliability metric which ensures the number of data packets delivered to the sink exceeds the defined threshold. Our extensive discrete event simulations and experimental evaluations show that ERTP is significantly more energyefficient than current approaches and can reduce energy consumption by more than 45% when compared to current approaches. Consequently, sensor nodes are more energy-efficient and the lifespan of the unattended WSN is increased.