When many people work in organized institutions or enterprises, those institutions or enterprises become big meeting places that also have energy, water and resources necessities. One of these necessities is the correct management of the waste that is daily produced by these communities. Universities are a good example of institution where every day a great amount of people go to work or to study. But independently of their task, they use the different services at the University such as cafeterias, canteens, photocopy etc. and as a result of their activity a cleaning service is also needed. All these activities generate an environmental impact. Nowadays, many Universities have accepted the challenge to minimize this impact applying several measures. One of the impacts to be reduced is the waste generation. The first step to implement measures to implement a waste management plan at a University is to know the composition, the amount and the distribution of the waste generated in its facilities. As the waste composition and generation depend among other things on the climate, these variables 1 should be analyzed over one year. This research work estimates the waste generation and composition of a Spanish University, the Universitat Jaume I, during a school year.To achieve this challenge, all the waste streams generated at the University have been identified and quantified emphasizing on those which are not controlled. Furthermore, several statistical analyses have been carried out to know if the season of the year or the day of the week affect waste generation and composition. All this information will allow the University authorities to propose a set of minimization measures to enhance the current management.
Abstract:The following work presents a multivariate statistical technique applied to the control of water inflows into district metering areas (DMA) of urban networks. This technique, called Principal Component Analysis (PCA), allows for a sensitive and quick analysis of the inflows into a DMA without hassling mathematical algorithms. PCA technique simplifies the original set of flow rate data recorded by the SCADA system, synthesizing the most significant information into a statistical model which is able to explain most of the behaviour of the water distribution network. PCA technique also allows for the establishment of control charts that help system operators in the identification of anomalous behaviours regarding water use, bursts or illegal connections. The described technique has been proved to offer high detection sensitivity to bursts or other unexpected consumptions.
The final disposal of the Municipal SolidWaste is still a problem in many countries. The lack of space, the generation of leachate, and the emission of greenhouse gases as well as the requirements of the new legislation on waste dissuade the administrations involved from using the landfill option as a possible means of final disposal of MSW. The terms of the European Legislation onwaste management and energy encourage member states to develop waste recovery techniques before sending it to a landfill. Therefore, member states have introduced source separation and mechanical-biological treatment to separate biodegradable recovery fractions (organic, paper-cardboard, plastic packaging, and glass) from the reject fraction, which is afterwards disposed of in landfills. One of the main aims of this study is to analyse the energy recovery properties of the reject fraction from a biological-mechanical treatment plant in Spain. For this purpose, this work presents a physical and chemical characterization of waste reject fraction from a real mechanical-biological treatment plant as well as the metal and halogen content. Additionally, the quality standards of the refused derived fuel processed at the laboratory and the atmospheric emissions of this type of fuel have been determined.
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