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.

Model predictive control for deferrable loads scheduling

Real-time demand response is essential for handling the uncertainties of renewable generation. Traditionally, demand response has been focused on large industrial and commercial loads, however it is expected that a large number of small residential loads such as air conditioners, dish washers, and electric vehicles will also participate in the coming years. The electricity consumption of these smaller loads, which we call deferrable loads, can be shifted over time, and thus be used (in aggregate) to compensate for the random fluctuations in renewable generation.

In this thesis, we propose a real-time distributed deferrable load control algorithm to reduce the variance of aggregate load (load minus renewable generation) by shifting the power consumption of deferrable loads to periods with high renewable generation. The algorithm is model predictive in nature, i.e., at every time step, the algorithm minimizes the expected variance to go with updated predictions. We prove that suboptimality of this model predictive algorithm vanishes as time horizon expands in the average case analysis. Further, we prove strong concentration results on the distribution of the load variance obtained by model predictive deferrable load control. These concentration results highlight that the typical performance of model predictive deferrable load control is tightly concentrated around the average-case performance. Finally, we evaluate the algorithm via trace-based simulations.

Speculation-Aware Resource Allocation for Cluster Schedulers

Real-time demand response is essential for handling the uncertainties of renewable generation. Traditionally, demand response has been focused on large industrial and commercial loads, however it is expected that a large number of small residential loads such as air conditioners, dish washers, and electric vehicles will also participate in the coming years. The electricity consumption of these smaller loads, which we call deferrable loads, can be shifted over time, and thus be used (in aggregate) to compensate for the random fluctuations in renewable generation.

In this thesis, we propose a real-time distributed deferrable load control algorithm to reduce the variance of aggregate load (load minus renewable generation) by shifting the power consumption of deferrable loads to periods with high renewable generation. The algorithm is model predictive in nature, i.e., at every time step, the algorithm minimizes the expected variance to go with updated predictions. We prove that suboptimality of this model predictive algorithm vanishes as time horizon expands in the average case analysis. Further, we prove strong concentration results on the distribution of the load variance obtained by model predictive deferrable load control. These concentration results highlight that the typical performance of model predictive deferrable load control is tightly concentrated around the average-case performance. Finally, we evaluate the algorithm via trace-based simulations.

Oxidation of Volatile Organic Compounds in Aqueous Solution and at the Air-water Interface of Aqueous Microdroplets

Isoprene (ISO),the most abundant non-methane VOC, is the major contributor to secondary organic aerosols (SOA) formation. The mechanisms involved in such transformation, however, are not fully understood. Current mechanisms, which are based on the oxidation of ISO in the gas-phase, underestimate SOA yields. The heightened awareness that ISO is only partially processed in the gas-phase has turned attention to heterogeneous processes as alternative pathways toward SOA.

During my research project, I investigated the photochemical oxidation of isoprene in bulk water. Below, I will report on the λ > 305 nm photolysis of H₂O₂ in dilute ISO solutions. This process yields C₁₀H₁₅OH species as primary products, whose formation both requires and is inhibited by O₂. Several isomers of C₁₀H₁₅OH were resolved by reverse-phase high-performance liquid chromatography and detected as MH⁺ (m/z = 153) and MH⁺-18 (m/z = 135) signals by electrospray ionization mass spectrometry. This finding is consistent with the addition of ·OH to ISO, followed by HO-ISO· reactions with ISO (in competition with O₂) leading to second generation HO(ISO)₂· radicals that terminate as C₁₀H₁₅OH via β-H abstraction by O₂.

It is not generally realized that chemistry on the surface of water cannot be deduced, extrapolated or translated to those in bulk gas and liquid phases. The water density drops a thousand-fold within a few Angstroms through the gas-liquid interfacial region and therefore hydrophobic VOCs such as ISO will likely remain in these relatively 'dry' interfacial water layers rather than proceed into bulk water. In previous experiments from our laboratory, it was found that gas-phase olefins can be protonated on the surface of pH < 4 water. This phenomenon increases the residence time of gases at the interface, an event that makes them increasingly susceptible to interaction with gaseous atmospheric oxidants such as ozone and hydroxyl radicals.

In order to test this hypothesis, I carried out experiments in which ISO(g) collides with the surface of aqueous microdroplets of various compositions. Herein I report that ISO(g) is oxidized into soluble species via Fenton chemistry on the surface of aqueous Fe(II)Cl₂ solutions simultaneously exposed to H₂O₂(g). Monomer and oligomeric species (ISO)1-8H⁺ were detected via online electrospray ionization mass spectrometry (ESI-MS) on the surface of pH ~ 2 water, and were then oxidized into a suite of products whose combined yields exceed ~ 5% of (ISO)1-8H⁺. MS/MS analysis revealed that products mainly consisted of alcohols, ketones, epoxides and acids. Our experiments demonstrated that olefins in ambient air may be oxidized upon impact on the surface of Fe-containing aqueous acidic media, such as those of typical to tropospheric aerosols.

Related experiments involving the reaction of ISO(g) with ·OH radicals from the photolysis of dissolved H₂O₂ were also carried out to test the surface oxidation of ISO(g) by photolyzing H₂O₂(aq) at 266 nm at various pH. The products were analyzed via online electrospray ionization mass spectrometry. Similar to our Fenton experiments, we detected (ISO)1-7H⁺ at pH < 4, and new m/z⁺ = 271 and m/z^- = 76 products at pH > 5.

Photonic and Device Design Principles for Ultrahigh-Efficiency (>50%), Spectrum-Splitting Photovoltaics

The sun has the potential to power the Earth's total energy needs, but electricity from solar power still constitutes an extremely small fraction of our power generation because of its high cost relative to traditional energy sources. Therefore, the cost of solar must be reduced to realize a more sustainable future. This can be achieved by significantly increasing the efficiency of modules that convert solar radiation to electricity. In this thesis, we consider several strategies to improve the device and photonic design of solar modules to achieve record, ultrahigh (> 50%) solar module efficiencies. First, we investigate the potential of a new passivation treatment, trioctylphosphine sulfide, to increase the performance of small GaAs solar cells for cheaper and more durable modules. We show that small cells (mm2), which currently have a significant efficiency decrease (~ 5%) compared to larger cells (cm2) because small cells have a higher fraction of recombination-active surface from the sidewalls, can achieve significantly higher efficiencies with effective passivation of the sidewalls. We experimentally validate the passivation qualities of treatment by trioctylphosphine sulfide (TOP:S) through four independent studies and show that this facile treatment can enable efficient small devices. Then, we discuss our efforts toward the design and prototyping of a spectrum-splitting module that employs optical elements to divide the incident spectrum into different color bands, which allows for higher efficiencies than traditional methods. We present a design, the polyhedral specular reflector, that has the potential for > 50% module efficiencies even with realistic losses from combined optics, cell, and electrical models. Prototyping efforts of one of these designs using glass concentrators yields an optical module whose combined spectrum-splitting and concentration should correspond to a record module efficiency of 42%. Finally, we consider how the manipulation of radiatively emitted photons from subcells in multijunction architectures can be used to achieve even higher efficiencies than previously thought, inspiring both optimization of incident and radiatively emitted photons for future high efficiency designs. In this thesis work, we explore novel device and photonic designs that represent a significant departure from current solar cell manufacturing techniques and ultimately show the potential for much higher solar cell efficiencies.

Distributed Control and Optimization for Communication and Power Systems

We are at the cusp of a historic transformation of both communication system and electricity system. This creates challenges as well as opportunities for the study of networked systems. Problems of these systems typically involve a huge number of end points that require intelligent coordination in a distributed manner. In this thesis, we develop models, theories, and scalable distributed optimization and control algorithms to overcome these challenges.

This thesis focuses on two specific areas: multi-path TCP (Transmission Control Protocol) and electricity distribution system operation and control. Multi-path TCP (MP-TCP) is a TCP extension that allows a single data stream to be split across multiple paths. MP-TCP has the potential to greatly improve reliability as well as efficiency of communication devices. We propose a fluid model for a large class of MP-TCP algorithms and identify design criteria that guarantee the existence, uniqueness, and stability of system equilibrium. We clarify how algorithm parameters impact TCP-friendliness, responsiveness, and window oscillation and demonstrate an inevitable tradeoff among these properties. We discuss the implications of these properties on the behavior of existing algorithms and motivate a new algorithm Balia (balanced linked adaptation) which generalizes existing algorithms and strikes a good balance among TCP-friendliness, responsiveness, and window oscillation. We have implemented Balia in the Linux kernel. We use our prototype to compare the new proposed algorithm Balia with existing MP-TCP algorithms.

Our second focus is on designing computationally efficient algorithms for electricity distribution system operation and control. First, we develop efficient algorithms for feeder reconfiguration in distribution networks. The feeder reconfiguration problem chooses the on/off status of the switches in a distribution network in order to minimize a certain cost such as power loss. It is a mixed integer nonlinear program and hence hard to solve. We propose a heuristic algorithm that is based on the recently developed convex relaxation of the optimal power flow problem. The algorithm is efficient and can successfully computes an optimal configuration on all networks that we have tested. Moreover we prove that the algorithm solves the feeder reconfiguration problem optimally under certain conditions. We also propose a more efficient algorithm and it incurs a loss in optimality of less than 3% on the test networks.

Second, we develop efficient distributed algorithms that solve the optimal power flow (OPF) problem on distribution networks. The OPF problem determines a network operating point that minimizes a certain objective such as generation cost or power loss. Traditionally OPF is solved in a centralized manner. With increasing penetration of volatile renewable energy resources in distribution systems, we need faster and distributed solutions for real-time feedback control. This is difficult because power flow equations are nonlinear and kirchhoff's law is global. We propose solutions for both balanced and unbalanced radial distribution networks. They exploit recent results that suggest solving for a globally optimal solution of OPF over a radial network through a second-order cone program (SOCP) or semi-definite program (SDP) relaxation. Our distributed algorithms are based on the alternating direction method of multiplier (ADMM), but unlike standard ADMM-based distributed OPF algorithms that require solving optimization subproblems using iterative methods, the proposed solutions exploit the problem structure that greatly reduce the computation time. Specifically, for balanced networks, our decomposition allows us to derive closed form solutions for these subproblems and it speeds up the convergence by 1000x times in simulations. For unbalanced networks, the subproblems reduce to either closed form solutions or eigenvalue problems whose size remains constant as the network scales up and computation time is reduced by 100x compared with iterative methods.

Photorefractive performance of a novel multifunctional inorganic-organic hybridized nanocomposite sensitized by CdS nanoparticles

A novel multifunctional inorganic-organic photorefractive (PR) poly(N-vinyl)-3-[p-nitrophenylazolcarbazolyl-CdS nanocomposites with different molar ratios of US to poly(N-vinyl)-3-[p-nitrophenylazo]carbazolyl (PVNPAK) were synthesized via a postazo-coupling reaction and chemically hybridized approach, respectively. The nanocomposites are highly soluble and could be obtained as film-forming materials with appreciably high molecular weights and low glass transition temperature (T,) due to the flexible spacers. The PVNPAK matrix possesses a highest-occupied molecular orbital value of about -5.36 eV determined from cyclic voltammetry. Second harmonic generation (SHG) could be observed in PVNPAK film without any poling procedure and 4.7 pm/V of effective second-order nonlinear optical susceptibility is obtained. The US particles as photosensitizers had a nanoscale size in PVNPAK adopting transmission electron microscopy. The improvement of interface quality between US and polymer matrix is responsible for efficient photoinduced charge generation efficiency in the nanocomposites. An asymmetric optical energy exchange between two beams on the polymer composites PVNPAK-CdS/ECZ has been found even without an external field in two-beam coupling (TBC) experiment, and the TBC gain and diffraction efficiency of 14.26 cm(-1) and 3.4% for PVNPAK-5-CdS/ECZ, 16.43 cm(-1) and 4.4% for PVNPAK-15-CdS/ECZ were measured at a 647.1 nm wavelength, respectively.

Structural capital, innovation capability, and company performance in technology-based colombian firms

[EN] In today s economy, innovation is considered to be one of the main driving forces behind business competitiveness, if not the most relevant one. Traditionally, the study of innovation has been addressed from different perspectives. Recently, literature on knowledge management and intellectual capital has provided new insights. Considering this, the aim of this paper is to analyze the impact of different organizational conditions i.e. structural capital on innovation capability and innovation performance, from an intellectual capital (IC) perspective. As regards innovation capability, two dimensions are considered: new idea generation and innovation project management. The population subject to study is made up of technology-based Colombian firms. In order to gather information about the relevant variables involved in the research, a questionnaire was designed and addressed to the CEOs of the companies making up the target population. The sample analyzed is made up of 69 companies and is large enough to carry out a statistical study based on structural equation modelling (partial least squares approach) using PLS-Graph software (Chin and Frye, 2003). The results obtained show that structural capital explains to a great extent both the effectiveness of the new idea generation process and of innovation project management. However, the influence of each specific organizational component making up structural capital (organizational design, organizational culture, hiring and professional development policies, innovation strategy, technological capital, and external structure) varies. Moreover, successful innovation project management is the only innovation capability dimension that exerts a significant impact on company performance.

Desempenho de um reator para compostagem descentralizada de lixo orgânico domiciliar e grau de maturação do composto

Nas últimas décadas, a disposição final de lixo tornou-se um sério problema a ser enfrentado por todos os países, em função da escassez crescente de terrenos disponíveis para aterros sanitários e distância cada vez maior dos centros geradores e a disposição final, assim como do aumento substancial da geração per capita. A acumulação de lixo nos grandes centros populacionais estimula a proliferação de macro e microvetores (ratos, baratas, moscas, vírus, bactérias, parasitos) e conseqüentemente, a disseminação de doenças. Em particular, com relação ao lixo gerado em ilhas e comunidades isoladas, é de alta relevância estratégias baseadas na descentralização do tratamento da fração orgânica de lixo domiciliar, com fim do transporte através de barcas para o continente, gerando mau cheiro e riscos de poluição ambiental. O presente projeto teve por objetivo: Testar o mesmo reator de compostagem descentralizada sob condições do verão sueco, alimentando-o com resíduos de restaurantes da cidade costeira Kalmar e sob condições brasileiras, alimentando-o com resíduos de cozinha da escola municipal de Abraão-Ilha Grande, RJ; propor modificações mecânicas e/ou operacionais para otimização dos processos; avaliar a qualidade e o grau de maturação do composto de diferentes fases através do método respirométrico Specific Oxygen Uptake Rate (SOUR)o método respirométrico NBR 14283 da ABNT. Em resumo, concluiu-se que a composição do lixo e pH inicial do material estruturante adicionado são fatores determinantes do tempo requerido para degradação dos ácidos orgânicos gerados e subseqüente elevação do pH; dependendo das características dos resíduos orgânicos, é necessária a inclusão de inoculante (ex: composto) para melhor desenvolvimento de bactérias e fungos e, conseqüentemente, otimização do processo; as análises físico-químicas e microbiológicas confirmaram que o processo de degradação aeróbia ocorre no interior do corpo principal do reator e que a qualidade do composto gerado é satisfatória; entretanto, melhorias consideráveis no sistema de trituração e alimentação são requeridas para que o reator testado possa se usado em sua capacidade plena. Os testes respirométrico atráves do Specific Oxygen Uptake Rate(SOUR) e da norma NBR 14283 da ABNT mostraram-se ambos eficazes na identificação do grau de maturação do composto e do avanço do processo de compostagem. Uma vez removidos os problemas mecânicos de trituração e alimentação, o reator testado poderá ser utilizado como uma tecnologia inovadora do tratamento de lixo orgânico in situ para pequenos e médios geradores de lixo orgânico domiciliar.

Compliance verification methodology for renewable generation integration. Application to island power grids

261 p.

Dynamic storage performance of two cyanine dye films and optimization design for a recordable compact disk

The optical constants of two cyanine dye films that we prepared were measured with a RAP-1-type (RAP is rotating analyzer and polarizer) spectroscopic ellipsometer. Toward making a simplified model for the wafers of a recordable compact disk (CD-R), we give their optimization designs developed with the cyanine dye films. in addition, the dynamic storage performances of two sample disks were tested by our dynamic storage testing system. Measurement results of the sample disks were obtained to test and verify our film designs. (C) 2000 Optical Society of America. OCIS codes: 160.4890, 160.4760, 210.4810.

Estudio del proceso de valorización energética de los residuos sólidos urbanos en una planta de incineración.

[ES]El objetivo de este Trabajo Fin de Grado consiste en estudiar el proceso desarrollado en la planta de incineración de residuos sólidos urbanos de Zabalgarbi (Bizkaia). La planta consiste en un ciclo combinado basado en una turbina de gas de 43 MW y una turbina de vapor de 56,5 MW. La importancia de su diseño recae en la adaptación de la tecnología de ciclo combinado de gas a la tecnología propia de una planta de valorización energética de residuos municipales. Es decir, se trata de un diseño innovador, del que surge un nuevo proceso industrial que permite dar solución a la problemática generada por los residuos producidos a la vez que se genera energía eléctrica. Gracias a este diseño, se consigue una mejora cualitativa y cuantitativa del rendimiento de la planta, ya que se obtiene energía eléctrica en dos etapas, además de un mejor aprovechamiento de los recursos. La tecnología utilizada para la incineración es el horno-caldera de parrilla deslizante. En este trabajo se analizarán los procesos integrados en la planta y se realizará el estudio energético de los equipos más significativos. Una vez realizada esta parte, se considerarán ciertas mejoras a incorporar en la instalación. Además, se desarrollará la metodología seguida para la realización del estudio así como la planificación y el presupuesto.

Análise da Transparência Corporativa através dos Relatórios de Sustentabilidade com base na Global Reporting Initiative de Empresas do Setor Brasileiro de Energia Elétrica

Este estudo realizou um exame crítico sobre os relatórios de sustentabilidade, com base na Global Reporting Initiative (GRI), elaborados pelas empresas do setor de geração de energia elétrica por hidroeletricidade no Brasil e avaliou a significância destes documentos em prestar informações claras sobre a eficácia do desempenho socioambiental. Os estudos acadêmicos relacionados com os relatórios de sustentabilidade, e especificamente com os relatórios da GRI, demonstram que há problemas na qualidade da informação com relação à completeza, padronização e credibilidade do conteúdo, porém sem aprofundar nas causas potenciais. Trata-se de um estudo com abordagem quali-quantitativa, com o emprego de pesquisa do tipo descritiva e a utilização de procedimentos bibliográfico e documental, por meio de análise de conteúdo. A quantificação das evidências foi desenvolvida com base nas informações contidas nos relatórios de sustentabilidade das empresas CPFL, EDP e Tractebel, que possuíam o nível mais alto de aplicação da GRI, associadas com as informações de seus desempenhos socioambientais disponíveis por outras fontes de consulta independentes. Os resultados da análise de conteúdo dos relatórios de sustentabilidade demonstraram que nenhuma das empresas atingiu o atendimento pleno de evidência da informação solicitada nas Unidades de Informação avaliadas. Esta constatação indica que todas as empresas avaliadas apresentaram falhas na validação das informações antes do início da elaboração propriamente dita do relatório, como determina a etapa de validação da GRI, sugerindo que os testes disponíveis nos princípios da GRI, provavelmente, não foram empregados ou foram adotados sem eficácia, afetando a qualidade da informação com relação à completeza e credibilidade do conteúdo. Questões que merecem ser aprofundadas em futuros trabalhos são: a influência dos limites da auditoria independente no resultado da verificação do relatório e a extensão da pesquisa de análise de conteúdo para outros setores industriais formados por grandes empresas e com elevado impacto ambiental potencial. O estudo contribui para o aumento de conhecimento sobre o tema, em destaque na atualidade, seja pelos esforços de normalização mundial do relatório de sustentabilidade GRI, e, principalmente, com a recomendação para o fomento destes relatórios incluída no documento final The Future We Want- O Futuro que Queremos da Conferência das Nações Unidas sobre Desenvolvimento Sustentável (Rio+20), no parágrafo 47, com potencial regulamentação brasileira compulsória dos mesmos.

Coleta seletiva em condomínios: realidades, possibilidades e desafios - estudo de caso do município de Niterói, RJ

A questão dos resíduos sólidos tornou-se um tema preocupante uma vez que os mesmos têm sido gerados em grande quantidade na sociedade capitalista do consumo com a substituição dos produtos e criação de complexas embalagens. Esse fator reflete no meio ambiente, pois há uma dificuldade de gestão adequada desses resíduos sem que os mesmos causem impactos ambientais negativos devido à sua demora em degradar-se e aos elementos contaminantes que podem conter. Alternativas de tratamento e destinação final vêm sendo incentivadas para atenuar os malefícios gerados pelos resíduos sólidos. A reciclagem está se destacando como mecanismo de utilização dos resíduos sólidos como matéria prima. A coleta seletiva é uma ferramenta fundamental para viabilizar o processo de reciclagem. Dessa forma a participação popular se faz necessária visto que os consumidores são fonte geradora dos resíduos e efetuando uma separação logo após o consumo facilita e qualifica todo o procedimento. Contudo os municípios brasileiros vêm apresentados baixos índices de reciclagem e coleta seletiva. Uma revisão bibliográfica foi feita acerca de casos de sucesso no Brasil e no mundo em ambas as práticas. Questões pertinentes à compreensão de todas as vertentes envolvidas também serão abordadas através de fundamento teórico. Os prédios residenciais representam grande contribuição nesse processo de geração de resíduos uma vez que concentram elevado contingente populacional em pequena área. Niterói é um município urbano localizado na região metropolitana do Rio de Janeiro, com uma população considerável possuindo diversos prédios e condomínios residenciais de grande porte. Existe um programa de coleta seletiva municipal, promovido pela Companhia de Limpeza Urbana de Niterói (CLIN) que está em vigor há mais de quinze anos que direciona os recicláveis a duas cooperativas de catadores no município (COOPCANIT e Morro do Céu). Esse estudo busca identificar todos os atores envolvidos no programa de coleta seletiva da CLIN (moradores, CLIN, COOPCANIT) assim como avaliar o desempenho do programa e sugerir formas de melhoria do mesmo baseado no referencial teórico. A partir de visitas técnicas, entrevistas com os responsáveis e a aplicação de questionários de avaliação da consciência ambiental de moradores de condomínios residenciais com e sem oferta do serviço de coleta seletiva. Foram verificadas falhas no programa como a pouca divulgação do mesmo e ausência de programa de educação ambiental aos moradores dos condomínios, refletindo na baixa adesão popular. Assim como foi possível identificar aspectos positivos como a busca por parcerias, representada pela atuação da empresa AMPLA que oferece desconto na conta de luz aos moradores que entregam seus resíduos nos postos de entrega voluntários. Algumas recomendações e sugestões são feitas aos gestores locais assim como propostas de futuros trabalhos e estudos relevantes ao problema.

Seismic performance of geomembrane placed on a slope in a MSW landfill cell -A centrifuge study

Geomembranes are one of the most commonly used geosynthetics in landfill liner systems. They retain the leachate produced by the waste and prevent leakage. Geomembranes may experience harsh environmental conditions such as extreme temperatures or earthquake loading. Earthquake loading can be an extreme loading case for landfills located in seismic regions. This study, based on dynamic centrifuge testing, investigates the effects of simulated earthquake loading on the tension experienced bythe geomembrane on a landfill slope. The landfill modeled in the dynamic centrifuge test was a municipal solid waste (MSW) landfill cell with a single geomembrane-clay liner system (45° side slope and 10 m slope length). The paper shows that moderate earthquake loading (base acceleration between 0.1g to 0.2g) can result in transient increases of around 20% in geomembrane tension, with permanent tension increases of around 5%.