The increase in the population of Tunisia and the industrial development posed with acuity during the end of the major problems. Without contribution of additional resources, water will then be likely to be done incre...The increase in the population of Tunisia and the industrial development posed with acuity during the end of the major problems. Without contribution of additional resources, water will then be likely to be done increasingly rare. The solar still is a small production system, yielding on average 2-5 L/day. In this study we propose a solar distiller assisted by a heat pump. The design of this distiller uses for the evaporation of water and its condensation two phenomena are studied Simple Solar Distiller （SSD） and Simple Solar Still Distiller Hybrid with heat Pump （SSDHP）. The performance is less than 2 L/mVday and a performance of 30% for the SSD. But the SSDHP is 12 L/m2/day, the energetic efficiency reaches 90%.展开更多
Traditional optimization models often lack a systems-level perspective at conception, which limits their effectiveness. Expanding system boundaries allow scientists and engineers to model complex interactions more acc...Traditional optimization models often lack a systems-level perspective at conception, which limits their effectiveness. Expanding system boundaries allow scientists and engineers to model complex interactions more accurately, leading to higher efficiency and profitability in industrial systems. Ecological systems have evolved for billions of years under conditions of material and energy shortage, and ecologists have defined analysis tools and metrics for identifying important principles. These principles may provide the framework to circumvent the limitations of traditional optimization techniques. More specifically, by recruiting functional roles that are often found in ecological systems, but are absent in industrial systems, industries can better mimic how natural systems organize themselves. The objective of this analysis is to traditionally optimize a manufacturing process by comparing the model with ecological and resource-based performance metrics in order to redesign the model with the addition of important functional roles that are found throughout nature. Industry partners provided data for this analysis, which involved building a water network for an existing steel manufacturing facility in China. The results of the traditional optimization model indicate a 23%, 29%, and 20% decline in freshwater consumption, wastewater discharge, and total annual cost, respectively. However, our ecologically inspired optimization model provides an additional 21% and 25% decline in freshwater consumption and total annual cost, respectively. Furthermore, no water is discharged. These results suggest that this unconventional approach to optimization could provide an effective technique not used by existing algorithms to solve the challenging problem of pursuing more sustainable industrial systems.展开更多
文摘The increase in the population of Tunisia and the industrial development posed with acuity during the end of the major problems. Without contribution of additional resources, water will then be likely to be done increasingly rare. The solar still is a small production system, yielding on average 2-5 L/day. In this study we propose a solar distiller assisted by a heat pump. The design of this distiller uses for the evaporation of water and its condensation two phenomena are studied Simple Solar Distiller （SSD） and Simple Solar Still Distiller Hybrid with heat Pump （SSDHP）. The performance is less than 2 L/mVday and a performance of 30% for the SSD. But the SSDHP is 12 L/m2/day, the energetic efficiency reaches 90%.
基金We are very grateful to the National Science Foundation （CBET- 0967536） and the National Natural Science Foundation of China （2156112001）, which have contributed significantly to the completion of this research.
文摘Traditional optimization models often lack a systems-level perspective at conception, which limits their effectiveness. Expanding system boundaries allow scientists and engineers to model complex interactions more accurately, leading to higher efficiency and profitability in industrial systems. Ecological systems have evolved for billions of years under conditions of material and energy shortage, and ecologists have defined analysis tools and metrics for identifying important principles. These principles may provide the framework to circumvent the limitations of traditional optimization techniques. More specifically, by recruiting functional roles that are often found in ecological systems, but are absent in industrial systems, industries can better mimic how natural systems organize themselves. The objective of this analysis is to traditionally optimize a manufacturing process by comparing the model with ecological and resource-based performance metrics in order to redesign the model with the addition of important functional roles that are found throughout nature. Industry partners provided data for this analysis, which involved building a water network for an existing steel manufacturing facility in China. The results of the traditional optimization model indicate a 23%, 29%, and 20% decline in freshwater consumption, wastewater discharge, and total annual cost, respectively. However, our ecologically inspired optimization model provides an additional 21% and 25% decline in freshwater consumption and total annual cost, respectively. Furthermore, no water is discharged. These results suggest that this unconventional approach to optimization could provide an effective technique not used by existing algorithms to solve the challenging problem of pursuing more sustainable industrial systems.
