Concepedia

Abstract

Energy efficiency is crucial for the sustainable operation of industrial and urban sectors. However, practicing engineers seldom have access to open-source tools that can readily evaluate and compare scenarios. In this work, a novel web-based tool called ROSMOSE is developed and proposed for analyzing the energy efficiency of industrial and urban systems and comparing potential process integration options. This optimization framework computes and graphically represents the minimum energy requirements, the pinch temperatures, and the grand and integrated composite curves of process systems. Results are used to design utility systems that meet energy demands while minimizing a specified objective function such as total cost or environmental impacts. The Quarto environment, in which ROSMOSE is built, allows the integration of various open-source software and tools, such as database handling, process modeling suites, and optimization solvers, along with interactive data visualization and reporting tools. This paper discusses the application of ROSMOSE for the energy integration and total site optimization of a dairy process consisting of milk treatment, cream, and cheese production to demonstrate the tool features. Other integration options, such as the use of heat pumps or solar panels and the production of soft drinks or biogas, are proposed and evaluated. From 75% to 90% in fuel savings and up to 80% CO2 emissions reduction in the dairy plant are identified by optimizing utility integration. Moreover, complete electrification via heat pumps eliminates any gas needs and results in 85% energy savings and up to 96% CO2 emissions reduction. Activating renewable electricity sources, such as solar power, is plausible for this scenario. Finally, optimized waste management strategies lead to energy-autonomous production and net export of biogas to the grid but reduce cheese output due to prioritizing biogas production from whey. In this manner, decision-makers have access to a clear performance comparison for a list of system configurations to draw informed trade-offs. A similar approach could be adopted to aid decision-making for the design and operation of other industrial and urban energy systems using ROSMOSE.

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