Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Litiumin talteenotto luonnon suola-altaista ionisilla nesteillä

Uusiutuvan energian käytön lisääntyminen lisää sähkön varastoinnin tarvetta. Litiumioniakku-jen on todettu olevan oivallisia keinoja varastoida sähköä esimerkiksi sähköautojen energian-lähteeksi. Tästä syystä akkujen kysyntä kasvaa nopeaa tahtia, jolloin nykyiset litiumlähteet ei-vät enää riitä tuottamaan tarpeeksi litiumia kasvavaan tarpeeseen. Tämän vuoksi litiumin tal-teenottoon tulee valjastaa uusia litiumin lähteitä, joiden hyödynnettävyys nykyisellä tekniikalla on pienen litiumkonsentraation ja muiden alkali- ja maa-alkalimetallien läsnäolon takia vaikeaa. Tällä hetkellä litiumia otetaan talteen eniten korkean litiumpitoisuuden luonnon suolajärvistä. Nykyisin käytössä oleva litiumin erotusprosessi on hidas ja sen käyttö pienten litiumkonsent-raatioiden suola-altailla on kannattamatonta. Tehokkaampana talteenottomenetelmänä luonnon suolajärvillä nähdään litiumin selektiivinen uutto ionisilla nesteillä. Menetelmä on todettu toi-mivaksi suolajärvillä, joilla on matala litiumkonsentraatio. Uusien suolajärvien käyttöönotto ei ratkaise kaikkia litiumin talteenottoon liittyviä ongelmia, sillä suolajärvet ovat alttiita ilmastonmuutokselle, eikä niiden litiumvarannot ole ehtymättömät. Merien litiumvarantoja sen sijaan pidetään lähes ehtymättöminä. Litiumin talteenotto meristä on mahdollista ionisia nesteitä ja membraaneja hyödyntävällä elektrodialyysilaitteistolla, jolla litiumia voidaan ottaa talteen myös hyvin pienistä pitoisuuksista. Lisäksi on mahdollista, että litiumin talteenottoon yhdistetään juomaveden valmistus. Tällainen vedenpuhdistusprosessi olisi myös hyvä kestävän kehityksen näkökulmasta.

Conceptual Design of a Circulating Fluidized Bed Reactor as a Thermochemical Thermal Energy Storage System for Applications in Concentrated Solar Thermal Power Plants

Thesis (Master's)--University of Washington, 2016-08

Precificação da energia eólica offshore no Brasil

Offshore wind power emits low amounts of gases, is renewable and has better performance than onshore due to its greater stability and higher wind power density, less visual and noise impact, among others. Brazil has a high capacity of generation, but has not yet developed any offshore projects. High costs are a strong impediment. This study is an effort towards pricing offshore resources through Livelized Cost of Energy - LCOE, which represents the minimum return to cover the costs of development, production and maintenance of a wind project. Initially LCOE was calculated for all Brazilian onshore wind farms listed at Bloomberg New Energy Finance R○, accounting for 71 farms. Then hypothetical offshore wind farms were created from the onshore farms, tripling the cost of generation, which is consistent with the literature, and estimating the offshore energy for two locations off the Brazilian coast using satellite data extracted from National Oceanic and Atmospheric Administration. The results demonstrate that offshore resources have the potential to significantly reduce the energy price due to the better performance of the wind at sea

Teoria de carteiras e a alocação de parques eólicos offshore

The consumption of energy on the planet is currently based on fossil fuels. They are responsible for adverse effects on the environment. Renewables propose solutions for this scenario, but must face issues related to the capacity of the power supply. Wind energy offshore emerging as a promising alternative. The speed and stability are greater winds over oceans, but the variability of these may cause inconvenience to the generation of electric power fluctuations. To reduce this, a combination of wind farms geographically distributed was proposed. The greater the distance between them, the lower the correlation between the wind velocity, increasing the likelihood that together achieve more stable power system with less fluctuations in power generation. The efficient use of production capacity of the wind park however, depends on their distribution in marine environments. The objective of this research was to analyze the optimal allocation of wind farms offshore on the east coast of the U.S. by Modern Portfolio Theory. The Modern Portfolio Theory was used so that the process of building portfolios of wind energy offshore contemplate the particularity of intermittency of wind, through calculations of return and risk of the production of wind farms. The research was conducted with 25.934 observations of energy produced by wind farms 11 hypothetical offshore, from the installation of 01 simulated ocean turbine with a capacity of 5 MW. The data show hourly time resolution and covers the period between January 1, 1998 until December 31, 2002. Through the Matlab R software, six were calculated minimum variance portfolios, each for a period of time distinct. Given the inequality of the variability of wind over time, set up four strategies rebalancing to evaluate the performance of the related portfolios, which enabled us to identify the most beneficial to the stability of the wind energy production offshore. The results showed that the production of wind energy for 1998, 1999, 2000 and 2001 should be considered by the portfolio weights calculated for the same periods, respectively. Energy data for 2002 should use the weights derived from the portfolio calculated in the previous time period. Finally, the production of wind energy in the period 1998-2002 should also be weighted by 1/11. It follows therefore that the portfolios found failed to show reduced levels of variability when compared to the individual production of wind farms hypothetical offshore

Viabilidade do biodiesel de microalgas: otimização de técnicas de extração

Os problemas relacionados com o consumo energético e as emissões de poluentes relativas ao setor dos transportes representam seguramente a maior preocupação ao nível Europeu no que respeita aos gases com efeito de estufa e à poluição atmosférica. Uma das formas de resolver/minimizar estes problemas é através da aposta em combustíveis alternativos. Em particular, os biocombustíveis poderão ser uma alternativa interessante aos combustíveis convencionais. As microalgas, como matéria-prima para produção de biodiesel, apresentam-se com excelentes perspetivas de futuro e com vantagens competitivas no campo das energias renováveis. É nesta perspetiva que se enquadra o presente trabalho, cujos objetivos consistiram na extração de biodiesel a partir de microalgas secas (Nannochloropsis gaditana e Scenedesmus sp.) e na otimização das respetivas técnicas de extração lipídica. Verificou-se que, em função dos métodos e condições utilizadas, a espécie Nannochloropsis gaditana apresenta um potencial de produção de biodiesel superior à espécie Scenedesmus sp. (eficiências de extração de 24,6 (wt.%) e 9,4 (wt.%) respetivamente). Um método de rotura celular conjugado com o processo de extração lipídica via solvente orgânico é essencial, pois conseguiu-se um acréscimo de 42% no rendimento de extração, sendo 10 minutos o tempo ideal de operação. Solventes como o metanol e sistema de solventes diclorometano/metanol mostraram ser mais eficazes quando se pretende extrair lípidos de microalgas, com valores de eficiência de remoção de 30,9 (wt.%) e 23,2 (wt.%) respetivamente. De forma a valorizar os resultados obtidos no processo de extração recorreu-se à sua conversão em biodiesel através da transesterificação catalítica ácida, onde se obteve uma eficiência de conversão de 17,8 (wt.%) para a espécie Nannochloropsis gaditana.

Afectación de los ingresos operacionales de empresa distribuidora de energía eléctrica por penetración de energía solar en su área de influencia

Los anuncios de impacto por cambio climático han llevado a los países a crear estrategias de mitigación y adaptación, dentro de las cuales se considera la promoción de generación de electricidad a través de fuentes renovables no convencionales -- El avance logrado ha incentivado a los usuarios del servicio de energía eléctrica a invertir en plantas de generación, eliminando la necesidad parcial de utilizar las redes de transmisión y distribución del sistema eléctrico, de tal forma que las redes eléctricas presentan una holgura gradual en cuanto a la energía que se transporta a través de ellas -- Este artículo presenta un análisis del impacto sobre los ingresos operacionales de una empresa distribuidora de energía por efecto de la entrada de soluciones de energía solar fotovoltaica en el segmento residencial de su área de influencia, encontrando que se generarían diferentes escalas de afectación, con valores de hasta el 3%

Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass Searches Using Mixture Models

Environmental impacts of wind energy facilities increasingly cause concern, a central issue being bats and birds killed by rotor blades. Two approaches have been employed to assess collision rates: carcass searches and surveys of animals prone to collisions. Carcass searches can provide an estimate for the actual number of animals being killed but they offer little information on the relation between collision rates and, for example, weather parameters due to the time of death not being precisely known. In contrast, a density index of animals exposed to collision is sufficient to analyse the parameters influencing the collision rate. However, quantification of the collision rate from animal density indices (e.g. acoustic bat activity or bird migration traffic rates) remains difficult. We combine carcass search data with animal density indices in a mixture model to investigate collision rates. In a simulation study we show that the collision rates estimated by our model were at least as precise as conventional estimates based solely on carcass search data. Furthermore, if certain conditions are met, the model can be used to predict the collision rate from density indices alone, without data from carcass searches. This can reduce the time and effort required to estimate collision rates. We applied the model to bat carcass search data obtained at 30 wind turbines in 15 wind facilities in Germany. We used acoustic bat activity and wind speed as predictors for the collision rate. The model estimates correlated well with conventional estimators. Our model can be used to predict the average collision rate. It enables an analysis of the effect of parameters such as rotor diameter or turbine type on the collision rate. The model can also be used in turbine-specific curtailment algorithms that predict the collision rate and reduce this rate with a minimal loss of energy production.

Oceans of energy? The non-linear trajectory of the emerging wave energy technology

This paper addresses the construction and structuring of a technological niche – i.e. a protected space where promising but still underperforming technologies are stabilized and articulated with societal needs – and discusses the processes that influence niche development and may enable niche breakout. In theoretical terms the paper is grounded on the multi-level approach to sustainability transitions, and particularly on the niche literature. But it also attempts to address the limitations of this literature in what concerns the spatial dimension of niche development. It is argued that technological niches can transcend the narrow territorial boundaries to which they are often confined, and encompass communities and actions that span several spatial levels, without losing some territorial embeddedness. It is further proposed that these features shape the niche trajectory and, therefore, need to be explicitly considered by the niche theoretical framework. To address this problem the paper builds on and extends the socio-cognitive perspective to technology development, introducing a further dimension – space – which broadens the concept of technological niche and permits to better capture the complexity of niche behaviour. This extended framework is applied to the case of an emerging renewable energy technology – wave energy - which exhibits a particularly slow and non-linear development trajectory. The empirical analysis starts by examining how an “overall niche space” in wave energy was spatially constructed over time. Then it investigates in greater detail the niche development processes that took place in Portugal, a country that was among the pioneers in the field, and whose actors have been, from very early stages, engaged in the activities conducted at various spatial levels. Through this combined analysis, the paper seeks to understand whether and how niche development is shaped by processes taking place at different spatial levels. More specifically it investigates the interplay between territorial and relational elements in niche development, and how these different dynamics influence the performance of the niche processes and impact on the overall niche trajectory. The results confirm the niche multi-spatial dynamics, showing that it is shaped by the interplay between a niche relational space constructed by actors’ actions and interactions on/across levels, and the territorial effects introduced by these actors’ embeddedness in particular geographical and institutional settings. They contribute to a more precise understanding of the processes that can accelerate or slow down the trajectory of a technological niche. In addition, the results shed some light into the niche activities conducted in/originating from a specific territorial setting - Portugal - offering some insights into the behaviour of key actors and its implications for the positioning of the country in the emerging field, which can be relevant for the formulation of strategies and policies for this area.

Simulation of a resonant inverter

Mostly developed since the Industrial Revolution, the automation of systems and equipment around us is responsible for a technological progress and economic growth without precedents, but also by a relentless energy dependence. Currently, fossil fuels still tend to come as the main energy source, even in developed countries, due to the ease in its extraction and the mastery of the technology needed for its use. However, the perception of its ending availability, as well as the environmental impact of this practice has led to a growing energy production originated from renewable sources. Easy maintenance, coupled with the fact that they are virtually inexhaustible, makes the solar and wind energy very promising solutions. In this context, this work proposes to facilitate energy production from these sources. To this end, in this work the power inverter is studied, which is an equipment responsible for converting DC power available by solar or wind power in traditional AC power. Then it is discussed and designed a new architecture which, in addition to achieve a high energy e - ciency, has also the ability to adapt to the type of conversion desired by the user, namely if he wants to sell electricity to the power grid, be independent of it or bet on a self consumption system. In order to achieve the promised energy e ciency, the projected inverter uses a resonant DC-DC converter, whose architecture signi cantly decreases the energy dissipated in the conversion, allowing a higher power density. The adaptability of the equipment is provided by an adaptive control algorithm, responsible for assessing its behavior on every iteration and making the necessary changes to achieve maximum stability throughout the process. To evaluate the functioning of the proposed architecture, a simulation is presented using the PLECS simulation software.

Produção biológica integrada de hidrogénio e metano a partir de resíduos da indústria do biodiesel

Dissertação de Mestrado Integrado em Engenharia da Energia e do Ambiente

Características de cinzas e sua aplicação no tratamento de gases durante a gasificação de biomassa

Na procura de melhores combustíveis para a produção de energia térmica e energia elétrica, a biomassa apresenta-se como uma das fontes de energia renováveis menos prejudiciais ao meio ambiente, esta é considerada como um recurso neutro do ponto de vista de emissões de dióxido de carbono. Atualmente, a tecnologia predominante no domínio da conversão energética de biomassa por via termoquímica é a combustão. Contudo, verifica-se a procura de combustíveis de melhor qualidade produzidos a partir de biomassa, como por exemplo na forma gasosa (gás de combustível). A produção deste tipo de combustíveis gasosos envolvendo processos de gasificação carece do desenvolvimento de tecnologia que permita obter um gás combustível com características adequadas às utilizações pretendidas. Os problemas mais relevantes relacionados com a conversão termoquímica da biomassa incluem a produção de cinzas e de alcatrões, estes podem levar a vários problemas operatórios. O presente trabalho teve dois objetivos, a caracterização das cinzas resultantes do processo de combustão de biomassa e o estudo do efeito da aplicação das cinzas para melhorar as propriedades do gás produzido durante o processo de gasificação de biomassa, principalmente na redução de compostos condensáveis (alcatrões). As cinzas volantes da combustão de biomassa analisadas apresentam na sua constituição elementos químicos característicos da biomassa, onde o cálcio apresenta-se em concentrações mais elevadas. Em menores concentrações encontram-se sódio, magnésio, fósforo, enxofre, cloro, potássio, manganês e ferro. As cinzas de fundo, pelo contributo que a areia do leito tem, são caracterizadas por conterem grandes concentrações de silício. Durante os processos de gasificação de biomassa a concentração de compostos condensáveis diminuiu com o aumento da razão de equivalência. As cinzas, colocadas no reator de leito fixo, apresentam um efeito positivo sobre a qualidade do gás, nomeadamente um aumento de 47,8% no teor de H2 e de 11% de CO, consequentemente obteve-se um gás combustível com PCI (poder calorífico inferior) mais elevado.

Rotina computacional de obtenção, tratamento e visualização de dados oceanográficos

Atualmente, sensores remotos e computadores de alto desempenho estão sendo utilizados como instrumentos principais na coleta e produção de dados oceanográficos. De posse destes dados, é possível realizar estudos que permitem simular e prever o comportamento do oceano por meio de modelos numéricos regionais. Dentre os fatores importantes no estudo da oceanografia, podem ser destacados àqueles referentes aos impactos ambientais, de contaminação antrópica, utilização de energias renováveis, operações portuárias e etc. Contudo, devido ao grande volume de dados gerados por instituições ambientais, na forma de resultados de modelos globais como o HYCOM (Hybrid Coordinate Ocean Model) e dos programas de Reanalysis da NOAA (National Oceanic and Atmospheric Administration), torna-se necessária a criação de rotinas computacionais para realizar o tratamento de condições iniciais e de contorno, de modo que possam ser aplicadas a modelos regionais como o TELEMAC3D (www.opentelemac.org). Problemas relacionados a baixa resolução, ausência de dados e a necessidade de interpolação para diferentes malhas ou sistemas de coordenadas verticais, tornam necessária a criação de um mecanismo computacional que realize este tratamento adequadamente. Com isto, foram desenvolvidas rotinas na linguagem de programação Python, empregando interpoladores de vizinho mais próximo, de modo que, a partir de dados brutos dos modelos HYCOM e do programa de Reanalysis da NOAA, foram preparadas condições iniciais e de contorno para a realização de uma simulação numérica teste. Estes resultados foram confrontados com outro resultado numérico onde, as condições foram construídas a partir de um método de interpolação mais sofisticado, escrita em outra linguagem, e que já vem sendo utilizada no laboratório. A análise dos resultados permitiu concluir que, a rotina desenvolvida no âmbito deste trabalho, funciona adequadamente para a geração de condições iniciais e de contorno do modelo TELEMAC3D. Entretanto, um interpolador mais sofisticado deve ser desenvolvido de forma a aumentar a qualidade nas interpolações, otimizar o custo computacional, e produzir condições que sejam mais realísticas para a utilização do modelo TELEMAC3D.

Dynamic model development of adiabatic compressed air energy storage

The share of variable renewable energy in electricity generation has seen exponential growth during the recent decades, and due to the heightened pursuit of environmental targets, the trend is to continue with increased pace. The two most important resources, wind and insolation both bear the burden of intermittency, creating a need for regulation and posing a threat to grid stability. One possibility to deal with the imbalance between demand and generation is to store electricity temporarily, which was addressed in this thesis by implementing a dynamic model of adiabatic compressed air energy storage (CAES) with Apros dynamic simulation software. Based on literature review, the existing models due to their simplifications were found insufficient for studying transient situations, and despite of its importance, the investigation of part load operation has not yet been possible with satisfactory precision. As a key result of the thesis, the cycle efficiency at design point was simulated to be 58.7%, which correlated well with literature information, and was validated through analytical calculations. The performance at part load was validated against models shown in literature, showing good correlation. By introducing wind resource and electricity demand data to the model, grid operation of CAES was studied. In order to enable the dynamic operation, start-up and shutdown sequences were approximated in dynamic environment, as far as is known, the first time, and a user component for compressor variable guide vanes (VGV) was implemented. Even in the current state, the modularly designed model offers a framework for numerous studies. The validity of the model is limited by the accuracy of VGV correlations at part load, and in addition the implementation of heat losses to the thermal energy storage is necessary to enable longer simulations. More extended use of forecasts is one of the important targets of development, if the system operation is to be optimised in future.

Liquid-phase alcohol promoted methanol synthesis from CO2 and H2

Methanol is an important and versatile compound with various uses as a fuel and a feedstock chemical. Methanol is also a potential chemical energy carrier. Due to the fluctuating nature of renewable energy sources such as wind or solar, storage of energy is required to balance the varying supply and demand. Excess electrical energy generated at peak periods can be stored by using the energy in the production of chemical compounds. The conventional industrial production of methanol is based on the gas-phase synthesis from synthesis gas generated from fossil sources, primarily natural gas. Methanol can also be produced by hydrogenation of CO2. The production of methanol from CO2 captured from emission sources or even directly from the atmosphere would allow sustainable production based on a nearly limitless carbon source, while helping to reduce the increasing CO2 concentration in the atmosphere. Hydrogen for synthesis can be produced by electrolysis of water utilizing renewable electricity. A new liquid-phase methanol synthesis process has been proposed. In this process, a conventional methanol synthesis catalyst is mixed in suspension with a liquid alcohol solvent. The alcohol acts as a catalytic solvent by enabling a new reaction route, potentially allowing the synthesis of methanol at lower temperatures and pressures compared to conventional processes. For this thesis, the alcohol promoted liquid phase methanol synthesis process was tested at laboratory scale. Batch and semibatch reaction experiments were performed in an autoclave reactor, using a conventional Cu/ZnO catalyst and ethanol and 2-butanol as the alcoholic solvents. Experiments were performed at the pressure range of 30-60 bar and at temperatures of 160-200 °C. The productivity of methanol was found to increase with increasing pressure and temperature. In the studied process conditions a maximum volumetric productivity of 1.9 g of methanol per liter of solvent per hour was obtained, while the maximum catalyst specific productivity was found to be 40.2 g of methanol per kg of catalyst per hour. The productivity values are low compared to both industrial synthesis and to gas-phase synthesis from CO2. However, the reaction temperatures and pressures employed were lower compared to gas-phase processes. While the productivity is not high enough for large-scale industrial operation, the milder reaction conditions and simple operation could prove useful for small-scale operations. Finally, a preliminary design for an alcohol promoted, liquid-phase methanol synthesis process was created using the data obtained from the experiments. The demonstration scale process was scaled to an electrolyzer unit producing 1 Nm3 of hydrogen per hour. This Master’s thesis is closely connected to LUT REFLEX-platform.