Browsing by Author "Zocca, Renan Oliveira"
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- Comparison between the optical properties of aerosols in the fine and coarse fractions over Valladolid, SpainPublication . Mogo, Sandra; López, J. F.; Cachorro, Victoria; de Frutos, Ángel M; Zocca, Renan Oliveira; Barroso, Ana; Mateos, D.; Conceição, E.Continuous measurements of the optical properties of aerosol particles have been made at Valladolid, Spain, covering the period from June 2011 to July 2012. The measurements were made at two size cuts: sub-10 μm and sub-1 μm (PM10 and PM1). The data measured were the scattering and backscattering coefficients, σs and σbs, obtained from an integrating nephelometer, and the absorption coefficient, σa, obtained from a particle soot absorption photometer. Spectrally resolved data were obtained from both instruments at 3 wavelengths (blue/green/red) at low relative humidity (RH < 40%). The statistical data for the instruments were calculated based on the hourly averages. For the PM10 fraction, the hourly mean values of σs and σa at 550 nm were 33 Mm−1 (StD = 30 Mm−1) and 4 Mm−1 (StD = 3 Mm−1), respectively. For the PM1 fraction, σs and σa mean values were 16 Mm−1 (StD = 14 Mm−1) and 4 Mm−1 (StD = 3 Mm−1), also at 550 nm. The derived parameters analyzed were the single scattering albedo, ω0, the backscatter fraction, σbs/σs, and the Ångström exponents of scattering, absorption and single scattering albedo, αs, αa and αω0. The contribution of the PM10 and the PM1 fractions for all these parameters plays a central role throughout the paper, allowing an improved classification of aerosol types. Our data are dominated by elemental carbon (EC) and elemental carbon/organic carbon mixed (EC/OC). For the PM10 data, dust dominated aerosol is also observed. Although we found that fine particles contribute more than coarse particles for decreasing the ω0 values, results suggest that it is also necessary to quantify the effect of coarse particles. Fine particles were found to produce ω0 spectra that decrease with the wavelength, αω0 > 0, while PM10 fractions were found to produce spectra that can decrease or increase with the wavelength, 0 < αω0 < 0. Both daily cycle and monthly variations are analyzed and related to local features as well as the transport of particles from elsewhere. A diurnal pattern characteristic of urban areas is observed, but it is less evident on weekends. The main long range transport influences are Atlantic advection, anthropogenic events from Central Europe and dust events.
- Computational tool to foster systematic thinking and sustainable environmental conscience in the selection of energy sources systems in agrifood companiesPublication . Zocca, Renan Oliveira; Lima, T.M.; Gaspar, Pedro Dinis; Santos, Fernando CharruaThe agrifood sector is mainly composed by small and medium enterprises (SMEs). The large majority of these companies does not have the resources, either financial or human, to develop or use with tailored computational systems aimed to improve the organizational management of the company. There are undeniable advantages of the extended use of real-time software systems like Enterprise Resources Management (ERP) or Customer Relationship Management (CRM) devoted to practices, strategies and technologies in the integrated management and interaction between all sectors of companies. However, these SMEs have limited resources to implement and use the abovementioned solutions, which in turns may reflect on the competitiveness. This paper describes an easy and expedite computational tool to help the decision-making concerning the selection of energy sources systems in agrifood companies. The tool provides an overview of types of energy sources used in specific agrifood sectors, as well as their major sources of pollution. Several scenarios (balance between energy costs and greenhouse gas emissions) are predicted to help decision-making on these topics. These scenarios results are compared with the average results of the specific agrifood sector. The results are also provided graphically to help an easy and expedite analysis. The use of this tool aims to foster systematic thinking and sustainable environmental conscience, promoting the energy efficiency and consequently improving the competitiveness by reducing one of today’s largest fixed costs of companies: energy consumption. Additionally, this tool also provides a prediction of the greenhouse gas emissions, to help a more sustainable and responsible commitment with the environment. The main goal of this tool is to provide the opportunity to perform individualized analysis of scenarios of energy-sources mix leading to the improvement of the performance of companies, and implementing a new thinking of continuous improvement, in order to increase competitiveness.
- Decision-making computationally aided in the management of energy sources used in agrifood industriesPublication . Zocca, Renan Oliveira; Gaspar, Pedro Dinis; Silva, Pedro Dinho da; Santos, Fernando Charrua; Andrade, Luís P.; Nunes, JoséIn an increasingly competitive society with an unfavourable economic environment, it is necessary for Small and Medium Enterprises (SMEs) to update themselves, thereby increasing their efficiency. Companies increasingly use computational tools to support the development of predictive scenarios in order to facilitate decision-making. However, the tools developed for SMEs are not always expedite and simple to use. The tool presented in this article intends to support the management of energy sources used by agro-industrial companies. It aims to facilitate and promote the implementation of a new culture of business management, in this sector so important at national level. The computational part is directed to support the decision-making on the selection of fossil or renewable energy sources to be used in a particular agroindustry, by presenting the average values of the energy consumption, cost and emissions associated with each selected energy source.
- Ferramenta computacional 5'S ajustada à revisão sistemática de procedimentos de higiene, segurança e saúde no trabalho em indústrias agroalimentaresPublication . Zocca, Renan Oliveira; Gaspar, Pedro Dinis; Santos, Fernando CharruaNuma sociedade cada vez mais competitiva e com um ambiente económico desfavorável, é necessário que as pequenas e médias empresas (PME) se atualizem para promover o aumento da sua eficiência. As empresas fazem uso cada vez mais frequente de ferramentas computacionais para apoiar a criação de cenários, a fim de facilitar a tomada de decisões. As PME representam uma parte importante do mercado nacional e, portanto, exigem esse tipo de ferramentas de suporte. A ferramenta computacional descrita neste artigo tem como objetivo facilitar e implementar uma nova cultura de gestão de negócios direcionada a PME agroalimentares, fazendo uso da filosofia 5'S ajustada à revisão sistemática de procedimentos e tarefas de higiene saúde e segurança no trabalho.
- Ferramenta computacional de apoio à tomada de decisão na gestão de fontes de energia usadas nas indústrias agroalimentaresPublication . Zocca, Renan Oliveira; Gaspar, Pedro Dinis; Silva, Pedro Dinho da; Santos, Fernando Charrua; Andrade, Luís P.; Nunes, JoséNuma sociedade cada vez mais competitiva e com um ambiente económico desfavorável, é necessário que as Pequenas e Médias Empresas (PME) se atualizem, aumentando assim a sua eficiência. As empresas utilizam cada vez mais ferramentas computacionais para apoiar o desenvolvimento de cenários preditivos para facilitar a tomada de decisões. No entanto, as ferramentas desenvolvidas para as PME nem sempre são expeditas e simples de usar. A ferramenta apresentada neste artigo pretende apoiar a gestão das fontes de energia utilizadas pelas empresas agroindustriais. A ferramenta tem como objetivo facilitar e promover a implementação de uma nova cultura de gestão empresarial neste setor tão importante a nível nacional. A ferramenta computacional é direcionada para apoiar a tomada de decisões sobre a seleção de fontes de energia fósseis ou renováveis a serem utilizadas numa agroindústria em particular, apresentando os valores médios do consumo de energia, o seu custo e as emissões de dióxido de carbono associadas a cada fonte de energia selecionada.
- Ferramentas computacionais de apoio à gestão do consumo energético e emissões de processos industriais de pequenas e médias empresas no sector agroalimentarPublication . Zocca, Renan Oliveira; Gaspar, Pedro Miguel de Figueiredo Dinis OliveiraNuma sociedade cada vez mais competitiva, e com uma conjuntura economia não favorável, é necessário que as pequenas e médias empresas (PMEs) se atualizem e possam com isso aumentar a sua eficiência. As empresas têm apostado cada vez mais em ferramentas computacionais para dar o suporte necessário para criação de cenários destinados a facilitar a tomada de decisão. As PMEs representam uma fatia importante do sector agroindustrial de Portugal e criar ferramentas computacionais para apoiar este nicho de mercado é necessário para aumentar a sua competitividade. Este trabalho tem como principal objetivo o desenvolvimento de duas ferramentas computacionais para o auxílio de PMEs na tomada de decisão e organização. Uma das ferramentas tem como objetivo facilitar a implementação e manutenção da filosofia de gestão 5’S. Esta ferramenta fornece uma indicação gráfica da evolução a implementação na agroindústria de condições associadas à higiene, saúde e segurança no trabalho. A outra ferramenta desenvolvida destina-se a apoiar a gestão de energia e tem como objetivo comparar as características do consumo energético da empresa com a média do setor agroindustrial onde se insere. A ferramenta poderá ser usada nos setores das carnes (matadouros ou presunto e enchidos), hortofrutícolas (centrais de frutas ou centrais de revenda), lácteos, peixes, vinho e distribuição. Os resultados fornecem uma indicação de quais as fontes de energia mais adequadas ecologicamente e/ou mais vantajosas financeiramente, por comparação do consumo específico com a média do setor. As ferramentas desenvolvidas nesta dissertação têm enfoque no setor agroindustrial com intuito de facilitar e implementar uma nova cultura de gestão empresarial, num setor tão importante a nível nacional, mas sobre o qual existe um longo caminho a percorrer na utilização de ferramentas computacionais que se posicionem para uma efetiva melhoria do desempenho das empresas.
- Introduction to sustainable food productionPublication . Zocca, Renan Oliveira; Gaspar, Pedro Dinis; Silva, Pedro Dinho da; Nunes, José; Andrade, Luís P.This chapter presents an overview of the current production methods for food and food ingredients, and describes the options for making healthier foods in a more sustainable manner. The current manner of producing food products has a large impact on the environment. Three main causes are responsible for inefficiencies in food production. Those are the increased use of products from animal origin, the inefficient use of food products once produced, resulting in waste generation, and the current setup of food processes and processing chains. This chapter summarizes the recent developments and sketches future scenarios for novel designs of food processes and process chains aimed at reduced environmental impact.
- Kaizen Approach for the Systematic Review of Occupational Safety and Health Procedures in Food IndustriesPublication . Zocca, Renan Oliveira; Lima, Tânia M.; Gaspar, Pedro Dinis; Santos, Fernando CharruaKaizen is one of the continuous improvement management tools encompassed by Lean Manufacturing. 5S methodology is a reorganization technique for the companies generally associated with Kaizen technique. It was specifically developed with the aim of transforming the environment of people’s organizations and attitudes, resulting in improvement of employees’ quality of life and the reduction of waste and costs, and aiming significant increases in productivity. Portuguese food industry is composed mainly by Small and Medium Enterprises that are now implementing new information and communication technologies and electronics. In order to promote their efficiency the SME should update their computational tools to support scenario creation that are used to ease the decision-making, so they are able to adapt rapidly to an increasingly computerized industry named as Industry 4.0. It is presented a computational tool to facilitate and implement a new culture of business management directed to agrifood SME, that aims to improve the organization and Occupational Safety and Health.