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Abstract: Background and Purpose: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. Since investment in sugar beet industry are long term and ireversible the decision support and economic analysis are required in order to maximise investment returns. Methodology: A system dynamics methodology was chosen to model the impacts of regional sugar factory investments. We present the basic concepts of system dynamics (SD) models and their development in the case of sugar beet production and processing systems. Sugar beet economics are also analyzed using the static technological economic simulation model. Results: The simulation provides answers to strategic questions related to the total sugar beet production and processing system and will be used for the simulation of different scenarios for sugar production and their impact on economic and environmental parameters at an aggregate level. Furthermore, the feasibility analysis of sugar beet production revealed that at the current price and intensity levels (yields), we can expect profitable sugar beet production for both white sugar and ethanol. Conclusion: Preliminary results show that under expected production parameters the sugar beet processing and production would be economically feasible.
Keywords: sugar beet, modeling, system dynamics, economic feasibility
Published in DKUM: 04.04.2017; Views: 1721; Downloads: 229
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Abstract: In this article, an extended and combined systematic approach for water minimization in process industries is presented. Environmental, organizational and economic aspects of water minimization were taken into consideration. Systematic approach was developed and tested with the water minimization project in a sugar plant. A detailed survey of water and wastewater streams was carried out and several options for water minimization were proposed using the heuristic approach and considering the selection criteria like costs, technical ability, reliability, complexity, impact on process/product quality, secondary waste generation etc. The implementation of water minimization options could lower the fresh water consumption by 54.23 m3/h, reducing the total volume of water used by 69 % with the payback period of 5 days. At the end, some general directions and suggestions for water minimization in process industries are introduced.
Keywords: chemical processing, sugar production, water consumption, minimization, cleaner production
Published in DKUM: 01.06.2012; Views: 2882; Downloads: 89
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Abstract: This paper deals with the problem of performance benchmarking of traditional beet sugar plants, by considering Best Available Techniques (BAT) for beet sugar production, as determined by the Integrated Pollution Prevention and Control (IPPC) Directive. A Fuzzy Logic Model, based on fuzzy set theory, was constructed for this purpose, in order to compare the performances of sugar plants within the sector's best standards, as expressed in the Reference Document on BAT. The effectiveness of the model was tested in the case study,in which three sugar plants were benchmarked against the BAT regarding the consumption of energy, water, raw materials and the production of wastes, wastewater, by-products and the main product. The model was recognized as helpful for the benchmarking needs of sugar plants. In addition, by integrating BAT Reference Document analysis into the model, it provides IPPC permitting authorities with an objective method and uniform BAT benchmarks to manage permitting process.
Keywords: chemical processing, beet sugar production, sugar industry, clean technologies, performance benchmarking, IPPC Directive, technology performance assessment, fuzzy set theory, best available techniques, IPPC permitting process
Published in DKUM: 31.05.2012; Views: 2648; Downloads: 95
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