Inspeção e reabilitação de estruturas de betão armado

O setor da reabilitação em Portugal tem vindo a crescer consideravelmente ao longo dos últimos anos, demonstrando uma consciencialização da sociedade e das entidades competentes para definição de estratégias e planeamento, para uma manutenção das estruturas atempada de modo a prevenir patologias que provocam a sua degradação. O presente trabalho pretende fazer uma síntese das técnicas de proteção e reparação das estruturas de betão armado, efetuando também ensaios para determinação das causas das anomalias que levaram à sua reparação. O projeto de reabilitação deve seguir as recomendações indicadas nos Eurocódigos e norma EN1504 sobre produtos e sistemas para a proteção e reparação das estruturas de betão. Segundo esta norma explicam – se as principais causas de deterioração das estruturas de betão armado e os sintomas que estão na base dessa deterioração. Desta forma são descritos os métodos de intervenção, explicando o seu funcionamento e modo mais adequado de utilização com indicação dos produtos adequados para cada intervenção. Para aplicação do referido nos parágrafos anteriores desenvolveu-se uma proposta de fichas de inspeção, através de levantamento fotográfico e registo das anomalias e suas causas e ensaios não destrutivos de modo a perceber o estado atual da estrutura para uma melhor compreensão da metodologia de reparação a seguir

Guia de Implementação BIM em organizações e projetos

A adoção da metodologia BIM (Building Information Modeling) é vista como um processo transformador que engloba as empresas e os seus projetos e, em última instância, toda a Indústria da Construção Civil. Devido ao facto de que o BIM é um complexo sistema cuja implementação tem impactos sociais, técnicos e metodológicos, este tema há já alguns anos que tem sido alvo de pesquisas com o objetivo primordial de difundir as práticas associadas ao BIM nas empresas, nos seus projetos, e na indústria. Um pouco por todo mundo, várias iniciativas de entidades públicas e privadas, governamentais e não-governamentais, têm produzido guias, normas, manuais e outros documentos que funcionam como um motor propulsor da implementação BIM. O presente trabalho contém a proposta de um Guia de Implementação da Metodologia BIM, desenvolvido no contexto do um estágio curricular levado a cabo na empresa Building Information Modeling & Management Solutions (BIMMS) e que resultou do estudo e adaptação de alguns dos mais conceituados guias, normas e manuais BIM existentes e em vigor noutros países. Este documento de caráter técnico e prático foi concebido para servir o propósito de auxiliar gabinetes de Engenharia, Arquitetura, e empresas de Construção na integração do BIM na sua atividade e foi elaborado com o intuito de poder ser divulgado e utilizado como referência a nível nacional.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.

Seller, buyer and VPP agents behavior on a simulated electricity market

Competitive electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is an electricity market simulator able to model market players and simulate their operation in the market. As market players are complex entities, having their characteristics and objectives, making their decisions and interacting with other players, a multi-agent architecture is used and proved to be adequate. MASCEM players have learning capabilities and different risk preferences. They are able to refine their strategies according to their past experience (both real and simulated) and considering other agents’ behavior. Agents’ behavior is also subject to its risk preferences.

Can power laws help us understand gene and proteome information?

Proteins are biochemical entities consisting of one or more blocks typically folded in a 3D pattern. Each block (a polypeptide) is a single linear sequence of amino acids that are biochemically bonded together. The amino acid sequence in a protein is defined by the sequence of a gene or several genes encoded in the DNA-based genetic code. This genetic code typically uses twenty amino acids, but in certain organisms the genetic code can also include two other amino acids. After linking the amino acids during protein synthesis, each amino acid becomes a residue in a protein, which is then chemically modified, ultimately changing and defining the protein function. In this study, the authors analyze the amino acid sequence using alignment-free methods, aiming to identify structural patterns in sets of proteins and in the proteome, without any other previous assumptions. The paper starts by analyzing amino acid sequence data by means of histograms using fixed length amino acid words (tuples). After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. Selected samples from two reference datasets are used, and results reveal that the proposed method is able to generate relevant outputs in accordance with current scientific knowledge in domains like protein sequence/proteome analysis.

Dispatch of distributed Energy Resources to Provide Energy and Reserve in Smart Grids using a Particle Swarm Optimization Approach

The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus distribution network with 32 medium voltage consumers and 66 distributed generation units.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.