Abstract.One of the methods of renewable energy production is biogas plant. Products of anaerobic digestion are biogas and residual material called digested pulp or digestate. This material is commonly used as a fertilizer. One of a new possibility of digested pulp management is solid biofuels production after separation. This paper presents the calculation of cost for production of briquettes from digested pulp. The performed economic analysis proves that the production of briquettes from digested solid fraction (DSF) can be profitable and provide additional income for the biogas plant.
The paper presents application of multivariate economic analysis to decision making process of selection of the most economically suitable concept of sanitary sewage system for a selected rural settlement in Poland. Analysis covered Drelow, Lublin Voivodeship, settlement area with 121 households with 421 residents and several municipal services. Three variants of sewage removal and treatment were developed: unconventional gravity-pressure network, gravity-pressure network combined with local domestic wastewater treatment plants (WWTPs) and full pressure sewerage network. In all variants, the container wastewater treatment plant of daily capacity 450 m3 day-1 was applied. Estimations of investment and exploitation costs for 30 years period operation were performed. Economic multivariate analysis was based on: Payback Period, Dynamic Generation Cost (DGC), Net Present Value (NPV) and Benefit-Cost Ratio (BCR). The obtained indicators were the input data for the weighted sum model allowing to select the most appropriate variant. Analysis showed that the most suitable was variant No 1. However, it was also noticed that all of the tested designs were ineffective economically.
Abstract. Intense development of research equipment leads directly to increasing cognitive abilities. However, along with the raising amount of data generated, the development of the techniques allowing the analysis is also essential. Currently, one of the most dynamically developing branch of computer science and mathematics are the Artificial Neural Networks (ANN). Their main advantage is very high ability to solve the regression and approximation issues. This paper presents the possibility of application of artificial intelligence methods to optimize the selection of cosubstrates intended for methane fermentation of chicken manure. 4-layer MLP network has proven to be the optimal structure modeling the obtained empirical data.
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