Ensuring the right to the city: pro-poor housing, urban development and tenure legalization in São Paulo, Brazil

São Paulo is one of Latin America’s most modern and developed cities, yet around one-third of its 10 million inhabitants live in poor-quality housing in sub-standard settlements. This paper describes the response of the São Paulo municipal government that took office in 2001. Through its Secretariat of Housing and Urban Development, it designed a new policy framework with a strong emphasis on improving the quantity and quality of housing for low-income groups. Supported by new legislation, financial instruments and partnerships with the private sector, the mainstays of the new policy are integrated housing and urban development, modernization of the administrative system, and public participation in all decision-making and implementation processes. The programmes centre on upgrading and legalizing land tenure in informal settlements, and regeneration of the city centre. The new focus on valuing the investments that low-income groups have already made in their housing and settlements has proved to be more cost-effective than previous interventions, leading to improvements on an impressive scale.

Modelling the economics of farm-based anaerobic digestion in a UK whole-farm context

Anaerobic digestion (AD) technologies convert organic wastes and crops into methane-rich biogas for heating, electricity generation and vehicle fuel. Farm-based AD has proliferated in some EU countries, driven by favourable policies promoting sustainable energy generation and GHG mitigation. Despite increased state support there are still few AD plants on UK farms leading to a lack of normative data on viability of AD in the whole-farm context. Farmers and lenders are therefore reluctant to fund AD projects and policy makers are hampered in their attempts to design policies that adequately support the industry. Existing AD studies and modelling tools do not adequately capture the farm context within which AD interacts. This paper demonstrates a whole-farm, optimisation modelling approach to assess the viability of AD in a more holistic way, accounting for such issues as: AD scale, synergies and conflicts with other farm enterprises, choice of feedstocks, digestate use and impact on farm Net Margin. This modelling approach demonstrates, for example, that: AD is complementary to dairy enterprises, but competes with arable enterprises for farm resources. Reduced nutrient purchases significantly improve Net Margin on arable farms, but AD scale is constrained by the capacity of farmland to absorb nutrients in AD digestate.

Catch-up strategies in the Indian auto components industry: domestic firms’ responses to market liberalization

Market liberalization in emerging-market economies and the entry of multinational firms spur significant changes to the industry/institutional environment faced by domestic firms. Prior studies have described how such changes tend to be disruptive to the relatively backward domestic firms, and negatively affect their performance and survival prospects. In this paper, we study how domestic supplier firms may adapt and continue to perform, as market liberalization progresses, through catch-up strategies aimed at integrating with the industry's global value chain. Drawing on internalization theory and the literatures on upgrading and catch-up processes, learning and relational networks, we hypothesize that, for continued performance, domestic supplier firms need to adapt their strategies from catching up initially through technology licensing/collaborations and joint ventures with multinational enterprises (MNEs) to also developing strong customer relationships with downstream firms (especially MNEs). Further, we propose that successful catch-up through these two strategies lays the foundation for a strategy of knowledge creation during the integration of domestic industry with the global value chain. Our analysis of data from the auto components industry in India during the period 1992–2002, that is, the decade since liberalization began in 1991, offers support for our hypotheses.

Control methodologies: Peak reduction algorithms for DNO owned storage devices on the Low Voltage network

The Distribution Network Operators (DNOs) role is becoming more difficult as electric vehicles and electric heating penetrate the network, increasing the demand. As a result it becomes harder for the distribution networks infrastructure to remain within its operating constraints. Energy storage is a potential alternative to conventional network reinforcement such as upgrading cables and transformers. The research presented here in this paper shows that due to the volatile nature of the LV network, the control approach used for energy storage has a significant impact on performance. This paper presents and compares control methodologies for energy storage where the objective is to get the greatest possible peak demand reduction across the day from a pre-specified storage device. The results presented show the benefits and detriments of specific types of control on a storage device connected to a single phase of an LV network, using aggregated demand profiles based on real smart meter data from individual homes. The research demonstrates an important relationship between how predictable an aggregation is and the best control methodology required to achieve the objective.

The impact of outward investments on parent company's employment and skill composition

This paper investigates the impact of outward foreign direct investment (FDI) by Italian multinationals on their total employment and skill composition. Specifically, by comparing data on 108 Italian manufacturing firms that became multinational (for the first time) in the period 1998–2004 with a counterfactual group of 2500 national firms that remained national in the same period, we provide descriptive and econometric evidence that the internationalisation of production activities did not reduce domestic employment in the parent companies neither for investments in developed or developing countries. As far as the skill composition is concerned, results reveal that only firms investing in Central and Eastern European countries experience some skill upgrading relative to firms that remained national.

Using proxies to calculate the carbon impact of investment into electricity network assets

Replacement and upgrading of assets in the electricity network requires financial investment for the distribution and transmission utilities. The replacement and upgrading of network assets also represents an emissions impact due to the carbon embodied in the materials used to manufacture network assets. This paper uses investment and asset data for the GB system for 2015-2023 to assess the suitability of using a proxy with peak demand data and network investment data to calculate the carbon impacts of network investments. The proxies are calculated on a regional basis and applied to calculate the embodied carbon associated with current network assets by DNO region. The proxies are also applied to peak demand data across the 2015-2023 period to estimate the expected levels of embodied carbon that will be associated with network investment during this period. The suitability of these proxies in different contexts are then discussed, along with initial scenario analysis to calculate the impact of avoiding or deferring network investments through distributed generation projects. The proxies were found to be effective in estimating the total embodied carbon of electricity system investment in order to compare investment strategies in different regions of the GB network.

Exploring methods to evaluate the carbon impact of network investment deferral

Replacement, expansion and upgrading of assets in the electricity network represents financial investment for the distribution utilities. Network Investment Deferral (NID) is a well discussed benefit of wider adoption of Distributed Generation (DG). There have been many attempts to quantify and evaluate the financial benefit for the distribution utilities. While the carbon benefits of NID are commonly mentioned, there is little attempt to quantify these impacts. This paper explores the quantitative methods previously used to evaluate financial benefits in order to discuss the carbon impacts. These carbon impacts are important for companies owning DG equipment for internal reporting and emissions reductions ambitions. Currently, a GB wide approach is taken as a means for discussing more regional and local methods to be used in future work. By investigating these principles, the paper offers a novel approach to quantifying carbon emissions from various DG technologies.

The impact of location and type on the performance of Low-Voltage network connected Battery Energy Storage Systems

This paper assesses the impact of the location and configuration of Battery Energy Storage Systems (BESS) on Low-Voltage (LV) feeders. BESS are now being deployed on LV networks by Distribution Network Operators (DNOs) as an alternative to conventional reinforcement (e.g. upgrading cables and transformers) in response to increased electricity demand from new technologies such as electric vehicles. By storing energy during periods of low demand and then releasing that energy at times of high demand, the peak demand of a given LV substation on the grid can be reduced therefore mitigating or at least delaying the need for replacement and upgrade. However, existing research into this application of BESS tends to evaluate the aggregated impact of such systems at the substation level and does not systematically consider the impact of the location and configuration of BESS on the voltage profiles, losses and utilisation within a given feeder. In this paper, four configurations of BESS are considered: single-phase, unlinked three-phase, linked three-phase without storage for phase-balancing only, and linked three-phase with storage. These four configurations are then assessed based on models of two real LV networks. In each case, the impact of the BESS is systematically evaluated at every node in the LV network using Matlab linked with OpenDSS. The location and configuration of a BESS is shown to be critical when seeking the best overall network impact or when considering specific impacts on voltage, losses, or utilisation separately. Furthermore, the paper also demonstrates that phase-balancing without energy storage can provide much of the gains on unbalanced networks compared to systems with energy storage.

The role of subsidy in ensuring the sustainability of small-scale anaerobic digesters in Odisha, India

Small-scale anaerobic digester installation has been a development objective of the Indian government to provide rural households clean fuel. Anaerobic digester installation is heavily subsidised. Depending on caste, the rate of subsidy offered for the smallest system available (1m3) varies between 32.35% and 41.18% of the total installation price. Yet, there are gaps in knowledge regarding the usefulness of such subsidies from a sustainability perspective. A cost-benefit analysis was conducted to evaluate the circumstances required for digester sustainability. The analysis used household data collected from 115 cattle owning households in Odisha, India to evaluate profitability at three levels of subsidy (none, General caste subsidy, and Schedule Caste/Schedule Tribe subsidy). Additional analyses considered the effect of; taking a loan, replacing electric lighting with biogas lighting, and the wealth level of the household. The results indicated that access to subsidy improved profitability. Yet, profitability could be achieved without the use of subsidy. The level of benefit accrued by households was similar independent of wealth. However, the provision of subsidy was essential for ensuring profitability for those households required to take a loan to meet the expense of installation. Such findings highlight the importance of subsidy as a means of including the poor.

Effects of Extrusion on the Emulsifying Properties of Rumen and Soy Protein

Defatted rumen protein and soy protein concentrate were extruded in a 15.5:1 L/D single-screw extruder at the optimum conditions for their expansion (150A degrees C and 35% moisture, and 130A degrees C and 35% moisture, respectively). Emulsions were produced with these proteins and studied by rheology and time domain low-resolution (1)H nuclear magnetic resonance (TD-NMR). Extrusion increased storage modulus of rumen protein emulsions. The opposite was observed for soy protein. Mechanical relaxation showed the existence of three relaxing components in the emulsions whose relative contributions were changed by extrusion. Likewise, spin-spin relaxation time constants (T (2)) measured by TD-NMR also showed three major distinct populations of protons in respect to their mobility that were also altered by extrusion. Extrusion increased surface hydrophobicity of both rumen and soy protein. Solubility of rumen protein increased with extrusion whereas soy protein had its solubility decreased after processing. Extrusion promoted molecular reorganization of protein, increasing its superficial hydrophobicity, affecting its interfacial properties and improving its emulsifying behavior. The results show that extrusion can promote the use of rumen, a by-product waste from the meat industry, in human nutrition by replacing soy protein in food emulsions.

Methane conversion reactions on Ni catalysts promoted with Rh: Influence of support

Ni catalysts supported on gamma-Al(2)O(3) and Mg(Al)O were prepared with and without Rh as a promoter and tested in the reforming of methane in the presence of excess methane, simulating a model biogas. The effects of adding synthetic air on the methane conversion and the formation of carbon were assessed. The catalysts were characterized by X-ray spectroscopy (EDS), surface area (BET), X-ray diffraction (XRD), Temperature-programmed reduction (TPR), X-ray absorption near-edge structure (XANES) and XPD. The results showed that in catalysts without Rh, the Ni interacts strongly with the supports, showing high reduction temperatures in TPR tests. The addition of Rh increased the amount of reducible Ni and facilitated the reduction of the species interacting strongly with the support. In the catalytic tests, the samples promoted with Rh suffered higher carbon deposition. The in situ XPD suggested that on the support gamma-Al(2)O(3), the presence of Rh probably led to a segregation of Ni species with time on stream, leading to carbon deposition. On the support MgAlO, the presence of Rh improved the dispersion of Ni, by reducing the Ni(0) crystallite size, suggesting that in this case the carbon deposition was due to a favoring of CH(4) decomposition by Rh. (C) 2011 Elsevier B.V. All rights reserved.

Leakage Detection And Localization Method Based On A Hybrid Inverse/Direct Modelling Approach Suitable For Handling Multiple-Leak Scenarios

When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.

Projeto para a criação do Centro de Memória do Instituto de Matemática Pura e Aplicada: uma história de competência, paixão e perseverança

O Instituto Nacional de Matemática Pura e Aplicada (IMPA) foi o primeiro órgão de pesquisa criado pelo Conselho Nacional de Pesquisas (CNPq), em 1952. Desde seu início o IMPA dedicou-se à pesquisa científica em matemática do mais alto nível e promoveu a formação de novos pesquisadores, promovendo também a difusão e aprimoramento da cultura matemática no país. Mais recentemente, passou a dedicar-se também às aplicações da matemática em outras áreas do conhecimento e em setores tecnológicos. Ao longo de mais de cinqüenta anos de trabalho, consolidou-se como o centro de referência em pesquisa matemática e formação de novos pesquisadores no Brasil e na América Latina. Tendo em vista a relevância da instituição para os rumos da pesquisa na área no país, este trabalho de conclusão de curso tem como objetivo estabelecer as diretrizes para a criação do Centro de Memória do Instituto Nacional de Matemática Pura e Aplicada (CEMIMPA), que seria um espaço para produção e re-elaboração de identidade e memória institucional – seguindo uma tendência que se afirma, no Brasil, desde a década de 1970. Discute-se aqui a trajetória do IMPA, os conceitos sobre memória, acervo e identidade para conseguir demarcar as linhas gerais do CEMIMPA e precisar sua importância para a instituição. A criação de um centro de memória como o que propomos, ajudaria a dar visibilidade à história do IMPA, de seus pesquisadores, suas áreas de atuação para além dos limites do cenário da pesquisa matemática, alcançando um público cada vez mais amplo e diverso. Isto poderia influenciar de forma ainda mais vigorosa a formação de jovens em geral, e em particular, de futuros matemáticos. Também poderá incrementar as pesquisas sobre a história da matemática no Brasil e a trajetória dos pesquisadores que a fizerem e dela fazem parte.

A percepção da comunidade interna - um estudo de caso

A comunicação exerce hoje em dia um papel de suma importância para toda a sociedade. Estamos vivendo o que se chama de "Era da informação", porém muitas vezes esta informação não se transforma em comunicação, resultando em problemas organizacionais e distúrbios nas relações dentro do ambiente corporativo. Este trabalho tem por finalidade o levantamento das percepções dos operadores de produção frente às praticas de comunicação interna em uma empresa que opera em sistema de produção em série. Para isto é proposta uma estrutura para análise da comunicação interna, e a partir desta estrutura são levantadas as dimensões relevantes para o estudo desta comunicação. A pesqUIsa aborda ainda a metodologia de construção de um instrumento de pesquisa para a medição do nível de percepção da comunicação interna, também como desenvolve uma proposta metodológica para a sua validação e análise da confiabilidade do mesmo. o instrumento foi aplicado em uma amostra dos operadores de produção das Unidades Industriais que compõem a empresa estudada. A partir dos dados coletados foi executada a análise gráfica, após isto foram levantados os principais pontos que requerem atenção nos processos de comunicação interna da empresa, e propostas ações para melhoria destes processos.

Cenário de práticas empresariais em inteligência competitiva na indústria de telecomunicações

Este trabalho aplicou o framework teórico de Wright-Pickton em Inteligência Competitiva (IC) na realidade da prática em empresas brasileiras da indústria de telecomunicações, a fim de gerar um diagnóstico da atual situação de IC e contribuir com o aperfeiçoamento do modelo teórico, buscando torna-lo mais preciso para a avaliação de processos de IC nas organizações. A partir deste diagnóstico, algumas recomendações gerenciais para o aprimoramento da função de Inteligência Competitiva, tornando-a vital para o processo de tomada de decisões estratégicas, foram realizadas como produto do estudo. O trabalho seguiu a metodologia de um artigo publicado em 2009, que investigou a realidade da função de Inteligência Competitiva de bancos de varejo no Reino Unido sob o mesmo framework de análise. Neste estudo, o foco foi a indústria de telecomunicações, abrangendo toda sua cadeia de valor. A coleta de informações deu-se por meio de entrevistas em profundidade com executivos que lideram áreas ou funções similares ao conceito de Inteligência Competitiva nas organizações. Como resultado final, percebeu-se que os aspectos coleta de dados e utilização dos outputs de IC são os que estão mais distantes do considerado ideal pelo framework, pontos que podem ser melhorados para tornar a prática mais próxima possível da estratégia da companhia.