A probabilistic methodology for distributed generation location in isolated electrical service area

Distributed generation unlike centralized electrical generation aims to generate electrical energy on small scale as near as possible to load centers, interchanging electric power with the network. This work presents a probabilistic methodology conceived to assist the electric system planning engineers in the selection of the distributed generation location, taking into account the hourly load changes or the daily load cycle. The hourly load centers, for each of the different hourly load scenarios, are calculated deterministically. These location points, properly weighted according to their load magnitude, are used to calculate the best fit probability distribution. This distribution is used to determine the maximum likelihood perimeter of the area where each source distributed generation point should preferably be located by the planning engineers. This takes into account, for example, the availability and the cost of the land lots, which are factors of special relevance in urban areas, as well as several obstacles important for the final selection of the candidates of the distributed generation points. The proposed methodology has been applied to a real case, assuming three different bivariate probability distributions: the Gaussian distribution, a bivariate version of Freund’s exponential distribution and the Weibull probability distribution. The methodology algorithm has been programmed in MATLAB. Results are presented and discussed for the application of the methodology to a realistic case and demonstrate the ability of the proposed methodology for efficiently handling the determination of the best location of the distributed generation and their corresponding distribution networks.

Análise do ciclo de vida da produção do butanol

Este trabalho teve como objetivo avaliar e comparar os impactes ambientais da produção do butanol considerando três processos produtivos: um que usa fontes fósseis e dois que usam fontes renováveis, nomeadamente palha de trigo e milho. Para o primeiro caso considerouse o processo oxo e os restantes usaram o processo de produção ABE (acetona, butanol e etanol). Na primeira etapa estudaram-se e descreveram-se os diferentes processos referidos. A análise do ciclo de vida foi depois aplicada efetuando as quatro fases nomeadamente definição do âmbito e objetivo, inventário, avaliação de impactes e interpretação dos resultados obtidos. O inventário foi efetuado tendo em conta a bibliografia existente sobre estes processos e com o auxílio da base de dados Ecoinvent Versão3 Database™. Na avaliação de impactes utilizou-se o método Impact 2002 + (Endpoint). Concluiu-se que a produção do butanol pelo processo ABE utilizando o milho é a que apresenta maior impacte ambiental e a que produção do butanol pelo processo ABE usando a palha de trigo é a que apresenta um menor impacte ambiental, quando o processo de alocação foi efetuado tendo em conta as massas de todos os produtos produzidos em cada processo. Foi efetuada uma análise de sensibilidade para a produção de butanol usando palha de trigo e milho relativa aos dados de menor qualidade. No processo da palha de trigo fez-se variar a quantidade de material enviado para a digestão anaeróbia e a quantidade de efluente produzida. No processo relativo ao milho apenas se fez variar a quantidade de efluente produzida. As variações tiveram um efeito pouco significativo (<1,3%) no impacte global. Por fim, efetuou-se o cálculo dos impactes considerando uma alocação económica que foi executada tendo em conta os preços de venda para o ano 2013 na Europa, para os produtos produzidos pelos diferentes processos. Considerando o valor económico verificou-se um aumento do peso relativo ao butanol, o que fez aumentar significativamente o impacte ambiental. Isto deve-se em grande parte ao baixo valor económico dos gases formados nos processos de fermentação. Se na alocação por massa for retirada a massa destes gases os resultados obtidos são similares nos dois tipos de alocação.

Avaliação de Impacto Ambiental, Valorização do Efluente e dos Resíduos Sólidos da Indústria Corticeira

A preocupação com o meio ambiente, nomeadamente na descarga de águas residuais, consumo de água excessivo e produção de resíduos industriais, está cada vez mais presente no quotidiano. Devido a estas problemáticas, efetuou-se a avaliação de impacte ambiental (AIA) do processo produtivo das rolhas de cortiça naturais, tratamento das águas de cozedura da cortiça (estudo da possível reutilização do efluente tratado) e valorização de subprodutos – resíduo sólido (raspa de cortiça), sendo estes os objetivos propostos para a realização da presente dissertação. Na AIA, efetuada no decorrer das fases da Análise do Ciclo de Vida (ACV), foram selecionadas 8 categorias de impacte – aquecimento global, acidificação, dessecação, toxicidade e ecotoxicidade, eutrofização, consumo de recursos não renováveis e oxidação foto-química. A água de cozedura caracterizou-se por uma elevada carga poluente, apresentando elevada concentração de cor, Carência Química de Oxigénio (CQO), taninos e lenhina e Sólidos Suspensos Totais (SST). O processo de tratamento proposto consistiu num pré-tratamento por ultrafiltração (UF), com membranas de 30.000 e 20.000 MWCO, seguido de adsorção por carvão ativado (comercial e produzido a partir de raspa de cortiça). No tratamento por UF, utilizando uma membrana de 30.000 MWCO, foram obtidas percentagens de remoção para a primeira amostra de água de cozedura de 74,8 % para a cor, 33,1 % para a CQO e para a segunda amostra de 85,2 % para a cor e 41,8 % para a CQO. Posteriormente, apenas para a segunda amostra de água de cozedura e com uma membrana de 20.000 MWCO, as percentagens de remoção obtidas foram superiores, de 93% para a cor, 68,9 % para a CQO, 88,4 % para taninos e lenhina e 43,0 % para azoto total. No tratamento por adsorção com carvão ativado estudou-se o tempo de equilíbrio do carvão ativado comercial e do carvão ativado produzido a partir de aparas de cortiça, seguindo-se o estudo das isotérmicas de adsorção, no qual foram analisados os parâmetros da cor e CQO para cada solução. Os ajustes dos modelos teóricos aos pontos experimentais demonstraram que ambos os modelos (Langmuir e Freundlich) poderiam ser considerados, uma vez que apresentaram ajustes idênticos. Relativamente ao tratamento de adsorção em contínuo do permeado, obtido por UF com membrana de 20.000 MWCO, constatou-se que ambos os carvões ativados (comercial e produzido) não ficaram saturados, tendo em consideração os tempos de saturação estimados pela capacidade máxima de adsorção (determinada para a isotérmica de Langmuir) e as representações gráficas dos valores experimentais obtidos para cada ensaio. No ensaio de adsorção com carvão ativado comercial verificou-se que o efluente tratado poderia ser descarregado no meio hídrico ou reutilizado no processo industrial (considerando os parâmetros analisados), uma vez que até aos 11 minutos de ensaio a concentração da solução à saída foi de 111,50 mg/L O2, para a CQO, e incolor, numa diluição de 1:20. Em relação à adsorção em contínuo com carvão ativado produzido verificou-se no ensaio 4 que o efluente resultante apresentou uma concentração de CQO de 134,5 mg/L O2 e cor não visível, numa diluição de 1:20, ao fim de 1h22 min de ensaio. Assim, concluiu-se que os valores obtidos são inferiores aos valores limite de emissão (VLE) presentes no Decreto-Lei n.º 236/98 de 1 de Agosto. O carvão ativado produzido apresentou elevada área superficial específica, com 870 m2/g, comparativamente ao carvão comercial que foi de 661 m2/g. O processo de extração da suberina a partir de raspa de cortiça isenta de extraíveis, efetuado através da metanólise alcalina, apresentou percentagens de extração superiores aos restantes métodos. No processo efetuado em scale-up, por hidrólise alcalina, obteve-se uma extração de 3,76 % de suberina. A aplicação da suberina no couro demonstrou que esta cera apresenta enormes potencialidades, uma vez que a sua aplicação confere ao couro um aspeto sedoso, com mais brilho e um efeito de “pull-up”.

Voltage Analysis and Load Curtailment Minimization in Sub-transmission Networks with Distributed Generation

Most of distributed generation and smart grid research works are dedicated to network operation parameters studies, reliability, etc. However, many of these works normally uses traditional test systems, for instance, IEEE test systems. This paper proposes voltage magnitude and reliability studies in presence of fault conditions, considering realistic conditions found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12-bus sub-transmission network.

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

Comparison of allocation approaches in soybean biodiesel life cycle assessment

This work shows the influence of using different allocation approaches when modelling the inventory analysis in a soybean biodiesel life cycle assessment (LCA). Results obtained using mass, energy and economic based allocations are compared, focusing on the following aspects: normalised potential environmental impact (PEI) categories, total PEI and relative contributions to the total PEI from each life cycle stage and environmental impact category. Similar results are obtained either using economic and energy based allocations. However, different results are obtained when mass based allocation is used when compared with the other two. This study also illustrates that using different allocation approaches in biodiesel LCA may influence the final conclusions, especially in comparative assertions, emphasising the need to perform a sensitivity analysis in the LCA interpretation step.

Contribution of hospital effluents to the load of pharmaceuticals in urban wastewaters: Identification of ecologically relevant pharmaceuticals

The impact of effluent wastewaters from four different hospitals: a university (1456 beds), a general (350 beds), a pediatric (110 beds) and a maternity hospital (96 beds), which are conveyed to the same wastewater treatment plant (WWTP), was evaluated in the receiving urban wastewaters. The occurrence of 78 pharmaceuticals belonging to several therapeutic classes was assessed in hospital effluents and WWTP wastewaters (influent and effluent) as well as the contribution of each hospital in WWTP influent in terms of pharmaceutical load. Results indicate that pharmaceuticals are widespread pollutants in both hospital and urban wastewaters. The contribution of hospitals to the input of pharmaceuticals in urban wastewaters widely varies, according to their dimension. The estimated total mass loadings were 306 g d− 1 for the university hospital, 155 g d− 1 for the general one, 14 g d− 1 for the pediatric hospital and 1.5 g d− 1 for the maternity hospital, showing that the biggest hospitals have a greater contribution to the total mass load of pharmaceuticals. Furthermore, analysis of individual contributions of each therapeutic group showed that NSAIDs, analgesics and antibiotics are among the groups with the highest inputs. Removal efficiency can go from over 90% for pharmaceuticals like acetaminophen and ibuprofen to not removal for β-blockers and salbutamol. Total mass load of pharmaceuticals into receiving surface waters was estimated between 5 and 14 g/d/1000 inhabitants. Finally, the environmental risk posed by pharmaceuticals detected in hospital and WWTP effluents was assessed by means of hazard quotients toward different trophic levels (algae, daphnids and fish). Several pharmaceuticals present in the different matrices were identified as potentially hazardous to aquatic organisms, showing that especial attention should be paid to antibiotics such as ciprofloxacin, ofloxacin, sulfamethoxazole, azithromycin and clarithromycin, since their hazard quotients in WWTP effluent revealed that they could pose an ecotoxicological risk to algae.

Accounting for the dissociating properties of organic chemicals in LCIA: an uncertainty analysis applied to micropollutants in the assessment of freshwater ecotoxicity

In life cycle impact assessment (LCIA) models, the sorption of the ionic fraction of dissociating organic chemicals is not adequately modeled because conventional non-polar partitioning models are applied. Therefore, high uncertainties are expected when modeling the mobility, as well as the bioavailability for uptake by exposed biota and degradation, of dissociating organic chemicals. Alternative regressions that account for the ionized fraction of a molecule to estimate fate parameters were applied to the USEtox model. The most sensitive model parameters in the estimation of ecotoxicological characterization factors (CFs) of micropollutants were evaluated by Monte Carlo analysis in both the default USEtox model and the alternative approach. Negligible differences of CFs values and 95% confidence limits between the two approaches were estimated for direct emissions to the freshwater compartment; however the default USEtox model overestimates CFs and the 95% confidence limits of basic compounds up to three orders and four orders of magnitude, respectively, relatively to the alternative approach for emissions to the agricultural soil compartment. For three emission scenarios, LCIA results show that the default USEtox model overestimates freshwater ecotoxicity impacts for the emission scenarios to agricultural soil by one order of magnitude, and larger confidence limits were estimated, relatively to the alternative approach.

Mechanical behaviour analysis of polyester polymer mortars modified with recycled GFRP waste materials

In this study the effect of incorporation of recycled glass-fibre reinforced polymer (GFRP) waste materials, obtained by means of milling processes, on mechanical behaviour of polyester polymer mortars was assessed. For this purpose, different contents of recycled GFRP waste powder and fibres, with distinct size gradings, were incorporated into polyester based mortars as sand aggregates and filler replacements. Flexural and compressive loading capacities were evaluated and found better than unmodified polymer mortars. GFRP modified polyester based mortars also show a less brittle behaviour, with retention of some loading capacity after peak load. Obtained results highlight the high potential of recycled GFRP waste materials as efficient and sustainable reinforcement and admixture for polymer concrete and mortars composites, constituting an emergent waste management solution.

Experiments on new polymer based mortars filled with FRP waste recyclates - a quantitative analysis

Glass fibre-reinforced plastics (GFRP) have been considered inherently difficult to recycle due to both: cross-linked nature of thermoset resins, which cannot be remolded, and complex composition of the composite itself. Presently, most of the GFRP waste is landfilled leading to negative environmental impacts and supplementary added costs. With an increasing awareness of environmental matters and the subsequent desire to save resources, recycling would convert an expensive waste disposal into a profitable reusable material. In this study, efforts were made in order to recycle grinded GFRP waste, proceeding from pultrusion production scrap, into new and sustainable composite materials. For this purpose, GFRP waste recyclates, were incorporated into polyester based mortars as fine aggregate and filler replacements at different load contents and particle size distributions. Potential recycling solution was assessed by mechanical behaviour of resultant GFRP waste modified polymer mortars. Results revealed that GFRP waste filled polymer mortars present improved flexural and compressive behaviour over unmodified polyester based mortars, thus indicating the feasibility of the waste reuse in polymer mortars and concrete. © 2011, Advanced Engineering Solutions.

Analysis of Consumption Data to Detect Commercial Losses Using Performance Evaluation Methods in a Smart Grid

Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.