Performance Analysis of a Cooperative MAC Protocol of Wireless Ad Hoc Networks

Different medium access control (MAC) layer protocols, for example, IEEE 802.11 series and others are used in wireless local area networks. They have limitation in handling bulk data transfer applications, like video-on-demand, videoconference, etc. To avoid this problem a cooperative MAC protocol environment has been introduced, which enables the MAC protocol of a node to use its nearby nodes MAC protocol as and when required. We have found on various occasions that specified cooperative MAC establishes cooperative transmissions to send the specified data to the destination. In this paper we propose cooperative MAC priority (CoopMACPri) protocol which exploits the advantages of priority value given by the upper layers for selection of different paths to nodes running heterogeneous applications in a wireless ad hoc network environment. The CoopMACPri protocol improves the system throughput and minimizes energy consumption. Using a Markov chain model, we developed a model to analyse the performance of CoopMACPri protocol; and also derived closed-form expression of saturated system throughput and energy consumption. Performance evaluations validate the accuracy of the theoretical analysis, and also show that the performance of CoopMACPri protocol varies with the number of nodes. We observed that the simulation results and analysis reflects the effectiveness of the proposed protocol as per the specifications.

Holistic Measures for Evaluating Prediction Models in Smart Grids

The performance of prediction models is often based on ``abstract metrics'' that estimate the model's ability to limit residual errors between the observed and predicted values. However, meaningful evaluation and selection of prediction models for end-user domains requires holistic and application-sensitive performance measures. Inspired by energy consumption prediction models used in the emerging ``big data'' domain of Smart Power Grids, we propose a suite of performance measures to rationally compare models along the dimensions of scale independence, reliability, volatility and cost. We include both application independent and dependent measures, the latter parameterized to allow customization by domain experts to fit their scenario. While our measures are generalizable to other domains, we offer an empirical analysis using real energy use data for three Smart Grid applications: planning, customer education and demand response, which are relevant for energy sustainability. Our results underscore the value of the proposed measures to offer a deeper insight into models' behavior and their impact on real applications, which benefit both data mining researchers and practitioners.

Adaptive Sleep-Wake Control using Reinforcement Learning in Sensor Networks

The aim in this paper is to allocate the `sleep time' of the individual sensors in an intrusion detection application so that the energy consumption from the sensors is reduced, while keeping the tracking error to a minimum. We propose two novel reinforcement learning (RL) based algorithms that attempt to minimize a certain long-run average cost objective. Both our algorithms incorporate feature-based representations to handle the curse of dimensionality associated with the underlying partially-observable Markov decision process (POMDP). Further, the feature selection scheme used in our algorithms intelligently manages the energy cost and tracking cost factors, which in turn assists the search for the optimal sleeping policy. We also extend these algorithms to a setting where the intruder's mobility model is not known by incorporating a stochastic iterative scheme for estimating the mobility model. The simulation results on a synthetic 2-d network setting are encouraging.

A quantitative analysis of demand for fish in Nigeria

The paper discusses the relevant theoretical considerations and specifies a model in an attempt to quantify those variables, the changes of which affect the internal demand for fish in Nigeria. Regression analyses carried out show that a generally rising trend in per capita income will increase the demand for fish, other things being equal. It is further revealed that even as the price of fish goes on increasing, consumers' demand for fish also tend to rise. The paper concludes by emphasizing the need for a fish consumption survey in the country's fish demand

A quantitative analysis of demand for fish in Nigeria

The paper discusses the relevant theoretical considerations and specifies a model in an attempt to quantify those variables, the changes of which affect the internal demand for fish in Nigeria. Regression analyses carried out show that a generally rising trend in per capita income will increase the demand for fish, other things being equal. It is further revealed that even as the price of fish goes on increasing, consumers' demand for fish also tend to rise. The paper concludes by emphasizing the need for a fish consumption survey in the country's fish demand

双套管密相气力输运过程的数值模拟和能耗分析

基于计算流体力学理论,提出一种可用于预测双套管密相气力输送系统能耗的新方法.与以往依靠经验的计算方法不同,本工作将输送管道分为起始段与充分发展段两部分,分别进行详细的计算流体力学模拟后汇总得出整个系统的总能耗.压力梯度为750 Pa/m的情况下,计算所得物料输送速率为10 t/h,耗气量为290 m~3/h,实验所得物料输送速率为8.0 t/h,耗气量240 m~3/h,证明本数模方法是可靠的.

Alternative trajectories for decarbonizing urban transportation

4 p.

Trends in Income and Price Elasticities of Transport Demand (1850-2010)

40 p.

Decarbonising urban transportation

18 p.

Sustainable IT and IT for sustainability

Energy and sustainability have become one of the most critical issues of our generation. While the abundant potential of renewable energy such as solar and wind provides a real opportunity for sustainability, their intermittency and uncertainty present a daunting operating challenge. This thesis aims to develop analytical models, deployable algorithms, and real systems to enable efficient integration of renewable energy into complex distributed systems with limited information.

The first thrust of the thesis is to make IT systems more sustainable by facilitating the integration of renewable energy into these systems. IT represents the fastest growing sectors in energy usage and greenhouse gas pollution. Over the last decade there are dramatic improvements in the energy efficiency of IT systems, but the efficiency improvements do not necessarily lead to reduction in energy consumption because more servers are demanded. Further, little effort has been put in making IT more sustainable, and most of the improvements are from improved "engineering" rather than improved "algorithms". In contrast, my work focuses on developing algorithms with rigorous theoretical analysis that improve the sustainability of IT. In particular, this thesis seeks to exploit the flexibilities of cloud workloads both (i) in time by scheduling delay-tolerant workloads and (ii) in space by routing requests to geographically diverse data centers. These opportunities allow data centers to adaptively respond to renewable availability, varying cooling efficiency, and fluctuating energy prices, while still meeting performance requirements. The design of the enabling algorithms is however very challenging because of limited information, non-smooth objective functions and the need for distributed control. Novel distributed algorithms are developed with theoretically provable guarantees to enable the "follow the renewables" routing. Moving from theory to practice, I helped HP design and implement industry's first Net-zero Energy Data Center.

The second thrust of this thesis is to use IT systems to improve the sustainability and efficiency of our energy infrastructure through data center demand response. The main challenges as we integrate more renewable sources to the existing power grid come from the fluctuation and unpredictability of renewable generation. Although energy storage and reserves can potentially solve the issues, they are very costly. One promising alternative is to make the cloud data centers demand responsive. The potential of such an approach is huge.

To realize this potential, we need adaptive and distributed control of cloud data centers and new electricity market designs for distributed electricity resources. My work is progressing in both directions. In particular, I have designed online algorithms with theoretically guaranteed performance for data center operators to deal with uncertainties under popular demand response programs. Based on local control rules of customers, I have further designed new pricing schemes for demand response to align the interests of customers, utility companies, and the society to improve social welfare.

Redução do uso e do consumo de açúcar por merendeiras de escolas públicas : ensaio randomizado por conglomerado

O Brasil é um dos maiores consumidores per capita de açúcar e estudos têm mostrado um papel específico do consumo excessivo de açúcar no ganho de peso. Com o aumento do ganho de peso observado em vários países, e também no Brasil, é importante testar quais mensagens, estratégias e propostas de intervenção seriam eficazes na prevenção dessa epidemia. Os dados reportados são referentes a um ensaio randomizado por conglomerado, controlado, conduzido em 20 escolas municipais na cidade metropolitana de Niterói no Estado de Rio de Janeiro, de março a dezembro de 2007, que testou a eficácia de orientações para merendeiras objetivando reduzir a disponibilidade de açúcar e de alimentos fontes de açúcar na alimentação escolar e no consumo delas. A intervenção consistiu em um programa de educação nutricional nas escolas usando mensagens, atividades e material educativo que encorajassem a redução da adição de açúcar na alimentação escolar pelas merendeiras e no consumo delas. A redução da disponibilidade per capita de açúcar pelas escolas foi analisada através de planilhas com dados da utilização dos itens do estoque. O consumo individual das merendeiras foi avaliado através de questionário de freqüência de consumo alimentar. As medidas antropométricas e bioquímicas foram realizadas de acordo com técnicas padronizadas. As escolas de intervenção apresentaram maior redução da disponibilidade per capita de açúcar quando comparadas às escolas controle (-6,0 kg vs. 3,4 kg), mas sem diferença estatisticamente significante. Houve redução no consumo de doces e bebidas açucaradas nas merendeiras dos dois grupos, mas o consumo de açúcar não apresentou diferenças estatisticamente significativas entre eles. Houve redução do consumo de energia total nos dois grupos, mas sem diferença entre eles, e sem modificação dos percentuais de adequação dos macronutrientes em relação ao consumo de energia. Ao final do estudo somente as merendeiras do grupo de intervenção conseguiram manter a perda de peso, porém sem diferença estatisticamente significante. A estratégia de redução da disponibilidade e do consumo de açúcar por merendeiras de escolas públicas não atingiu o principal objetivo de redução de adição de açúcar. Uma análise secundária dos dados avaliou a associação entre a auto-percepção da saúde e da qualidade da alimentação com o excesso de peso e concentração elevada de colesterol sérico das merendeiras na linha de base. As perguntas de auto-percepção foram coletadas por entrevista. Dentre as que consideraram a sua alimentação como saudável, 40% apresentavam colesterol elevado e 61% apresentavam excesso de peso vs. 68% e 74%, respectivamente, para as que consideraram a sua alimentação como não-saudável. Dentre as que consideraram a sua saúde como boa, 41% apresentavam colesterol elevado e 59% apresentavam excesso de peso vs. 71% e 81%, respectivamente, para as que consideraram a sua saúde como ruim. A maioria das mulheres que relatou ter alimentação saudável apresentou maior frequência de consumo de frutas, verduras e legumes, feijão, leite e derivados e menor freqüência de consumo de refrigerante. Conclui-se que perguntas únicas e simples como as utilizadas para a auto-avaliação da saúde podem também ter importância na avaliação da alimentação.

Fundamentos da exploração de petróleo e gás natural e análise geoeconômica da matriz energética brasileira atual e projeções futuras

A análise da matriz energética mundial, assim como a brasileira, nos mostra que o gás natural representará em breve um importante insumo energético favorecendo a balança de pagamentos nacional, visto que o gás poderá ser usado tanto para consumo interno, quanto para exportação. O aumento das reservas nacionais de hidrocarbonetos se deve ao desenvolvimento de tecnologias, que favoreceram o conhecimento das bacias brasileiras quanto ao seu potencial produtor de combustíveis fósseis, permitindo a descoberta de novas jazidas. O amadurecimento do mercado nacional quanto ao consumo de gás natural passa pela construção de uma infraestrutura robusta, eficiente e que possibilite a captação, o armazenamento e distribuição do mesmo. O Brasil tem todos os requisitos necessários para adentrar ao seleto grupo de países exportadores de hidrocarbonetos, a descoberta do Pré-sal tende a incrementar a importância do gás natural para o país. Ao final do trabalho são descritos cenários futuros (quanto o consumo de energéticos), onde se vê que o consumo de energia para os próximos anos crescerá a taxas superiores as das duas últimas décadas. Análise destes cenários permite antecipar o interesse de futuros investimentos no desenvolvimento do conhecimento geológico para áreas promissoras.

Distributed Load Control in Multiphase Radial Networks

The current power grid is on the cusp of modernization due to the emergence of distributed generation and controllable loads, as well as renewable energy. On one hand, distributed and renewable generation is volatile and difficult to dispatch. On the other hand, controllable loads provide significant potential for compensating for the uncertainties. In a future grid where there are thousands or millions of controllable loads and a large portion of the generation comes from volatile sources like wind and solar, distributed control that shifts or reduces the power consumption of electric loads in a reliable and economic way would be highly valuable.

Load control needs to be conducted with network awareness. Otherwise, voltage violations and overloading of circuit devices are likely. To model these effects, network power flows and voltages have to be considered explicitly. However, the physical laws that determine power flows and voltages are nonlinear. Furthermore, while distributed generation and controllable loads are mostly located in distribution networks that are multiphase and radial, most of the power flow studies focus on single-phase networks.

This thesis focuses on distributed load control in multiphase radial distribution networks. In particular, we first study distributed load control without considering network constraints, and then consider network-aware distributed load control.

Distributed implementation of load control is the main challenge if network constraints can be ignored. In this case, we first ignore the uncertainties in renewable generation and load arrivals, and propose a distributed load control algorithm, Algorithm 1, that optimally schedules the deferrable loads to shape the net electricity demand. Deferrable loads refer to loads whose total energy consumption is fixed, but energy usage can be shifted over time in response to network conditions. Algorithm 1 is a distributed gradient decent algorithm, and empirically converges to optimal deferrable load schedules within 15 iterations.

We then extend Algorithm 1 to a real-time setup where deferrable loads arrive over time, and only imprecise predictions about future renewable generation and load are available at the time of decision making. The real-time algorithm Algorithm 2 is based on model-predictive control: Algorithm 2 uses updated predictions on renewable generation as the true values, and computes a pseudo load to simulate future deferrable load. The pseudo load consumes 0 power at the current time step, and its total energy consumption equals the expectation of future deferrable load total energy request.

Network constraints, e.g., transformer loading constraints and voltage regulation constraints, bring significant challenge to the load control problem since power flows and voltages are governed by nonlinear physical laws. Remarkably, distribution networks are usually multiphase and radial. Two approaches are explored to overcome this challenge: one based on convex relaxation and the other that seeks a locally optimal load schedule.

To explore the convex relaxation approach, a novel but equivalent power flow model, the branch flow model, is developed, and a semidefinite programming relaxation, called BFM-SDP, is obtained using the branch flow model. BFM-SDP is mathematically equivalent to a standard convex relaxation proposed in the literature, but numerically is much more stable. Empirical studies show that BFM-SDP is numerically exact for the IEEE 13-, 34-, 37-, 123-bus networks and a real-world 2065-bus network, while the standard convex relaxation is numerically exact for only two of these networks.

Theoretical guarantees on the exactness of convex relaxations are provided for two types of networks: single-phase radial alternative-current (AC) networks, and single-phase mesh direct-current (DC) networks. In particular, for single-phase radial AC networks, we prove that a second-order cone program (SOCP) relaxation is exact if voltage upper bounds are not binding; we also modify the optimal load control problem so that its SOCP relaxation is always exact. For single-phase mesh DC networks, we prove that an SOCP relaxation is exact if 1) voltage upper bounds are not binding, or 2) voltage upper bounds are uniform and power injection lower bounds are strictly negative; we also modify the optimal load control problem so that its SOCP relaxation is always exact.

To seek a locally optimal load schedule, a distributed gradient-decent algorithm, Algorithm 9, is proposed. The suboptimality gap of the algorithm is rigorously characterized and close to 0 for practical networks. Furthermore, unlike the convex relaxation approach, Algorithm 9 ensures a feasible solution. The gradients used in Algorithm 9 are estimated based on a linear approximation of the power flow, which is derived with the following assumptions: 1) line losses are negligible; and 2) voltages are reasonably balanced. Both assumptions are satisfied in practical distribution networks. Empirical results show that Algorithm 9 obtains 70+ times speed up over the convex relaxation approach, at the cost of a suboptimality within numerical precision.

Sistemas fotovoltaicos integrados ao perfil de uso da edificação

Nos últimos anos, o consumo de energia vem crescendo mundialmente nos grandes centros urbanos, e esforços na área de eficiência energética estão sendo implantados, a fim de reduzir o consumo no horário da ponta e interrupções da rede. O aproveitamento das fontes renováveis, como o fotovoltaico em uma edificação se torna um atrativo a mais para a matriz energética num momento em que o país prima pela universalização dos serviços de energia e a classificação de edifícios comerciais, de serviço e públicos, além dos residenciais quanto à eficiência energética através do Procel Edifica (RTQ-C e RTQ-R). Os sistemas fotovoltaicos podem configurar perfis de uso nas edificações de modo a gerar energia para consumo próprio ou ligado à rede e ainda ter influência na arquitetura do prédio com revestimento: os perfis podem está em telhados, fachadas ou janelas, amenizando em alguns casos a carga térmica no prédio com sombreamento arquitetônico. Hoje, com o avanço da tecnologia no setor de armazenagem é possível, o atendimento com segurança e eficiência a uma edificação ou direcionar esta armazenagem a uma demanda específica como o atendimento à demanda de ciclo profundo, tais como, iluminação externa e recarga de veículos elétricos. Partindo da premissa de sistemas interruptos de energia, UPS, uso de fonte secundária como FV, baterias e Flywheel é apresentado uma forma de melhor gerenciar a energia armazenada, podendo estender a vida útil da bateria e conseqüentemente de todo o sistema fotovoltaico na edificação. Esta forma de armazenar energia proporciona um serviço de uso contínuo sem percepção das interrupções da rede com garantia de 20 anos, tal qual o módulo fotovoltaico, com esta proposta as perdas de energia elétrica na edificação serão atenuadas, pois a eletricidade será utilizada de forma eficiente e inteligente. O ponto de partida do estudo de caso no prédio do IBAM são os sistemas fotovoltaicos com geração distribuída (mini-redes) conectados à rede que são instalados para fornecer energia ao consumidor, complementando a quantidade de energia demandada, caso haja algum aumento do consumo de energia na edificação, ou ainda utilizar o sistema fotovoltaico na hora da ponta e interrupções do sistema da rede no período fora da ponta. A estocagem inercial por meio do Flywheel tem um papel fundamental nesta mini-rede (Flywheel, bateria VRLA, UPS, inversor e STS), pois a sua utilização pode ser apontada como uma inovação tecnológica quanto à regulação de tensão no sistema de energia elétrica, além de preparar a edificação para o smart-grid. Esta configuração de acumulação de energia permitiu a analise do deslocamento desta energia armazenada para o consumo no horário de ponta, mudando o conceito de sistemas fotovoltaicos autônomos no meio urbano e rural no país. Este conceito de armazenagem se confirma então como um aporte na eficiência de energia na edificação, podendo carrear economia de energia substancial, além de proporcionar uma confiabilidade no serviço de energia, com um baixo retorno do investimento e com uma garantia de funcionamento com pequena ou nenhuma manutenção durante o período de vida de 20 anos.

Fraccionamiento del licor gastado en pasteado al sulfito ácido mediante ultrafiltración

Lignosulphonates (LS) and fermentable sugars are the main components of spent sulphite liquors (SSL) produced in acid sulphite pulping. In spite of different methods have been used for spent liquor fractionation such as precipitation or vaporization; membrane technology allows the separation of these components from the SSL due to their different size molecular weight, offering great advantages with regards to the traditionally methods (less energy consumption, high selective separation, and many others). In the present study, ceramic membranes with different cut-offs (15 kDa, 5 kDa and 1 kDa) were used to achieve the sugar purification and the LS concentration. The membranes were evaluated according to their efficacy and efficiency properties. Different series system were tested in order to improve the aptitudes of a singular membrane. The system with the three membranes in series (15, 5 and 1 kDa respectively) obtained the most purified permeate stream, referred to the sugar content. Also, a characterisation of the LS contained in the different streams produced in this system was carried out in order to know in a more precise manner the valorisation potential of these components by means of biorefinery processes.