Neurodegenerative disease is a growing global problem. Many of these diseases such as Parkinson's disease can cause grip strength weakness. In this work, we focused on developing an e-Textile based EMG acquisition...
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Energy supply and demand are at the core of one of the pressing problems worldwide as the present energy production is still dominated by non-renewable resources. The need to meet the goals for the climate has motivat...
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As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that c...
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As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can be used to activate this flexibility. Therefore, by designing efficient grid tariffs, it might be possible to reduce the total costs in the power system by incentivizing a change in consumption patterns. This paper provides a methodology for optimal grid tariff design under decentralized decision-making and uncertainty in demand, power prices, and renewable generation. A bilevel model is formulated to adequately describe the interaction between the end-users and a distribution system operator. In addition, a centralized decision-making model is provided for benchmarking purposes. The bilevel model is reformulated as a mixed-integer linear problem solvable by branch-and-cut techniques. Results based on both deterministic and stochastic settings are presented and discussed. The findings suggest how electricity grid tariffs should be designed to provide an efficient price signal for reducing aggregate network peaks.
Traditional organizational strategy is meant to create change from how your customers think you rationalize sales and support to what your customers and you need. By fostering a sense of stability, providing consensus...
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This research explored hydrothermal carbonization to enhance digestate from lignocellulosic biogas power plants as a soil amendment for low-carbon agriculture. Hydrochar was produced from real digestate via hydrotherm...
This research explored hydrothermal carbonization to enhance digestate from lignocellulosic biogas power plants as a soil amendment for low-carbon agriculture. Hydrochar was produced from real digestate via hydrothermal carbonization at 225–265 °C, hydrothermal carbonization at 265 °C demonstrating optimal properties for agricultural use. Key benefits include enhanced phosphorus retention, controlled-release nutrient behavior as indicated by Chlorella vulgaris cultivation in its water-soluble fraction, and safe application as a soil amendment, with heavy metal concentrations within regulatory limits and absent in the water-soluble fraction. Based on theoretical calculations, labile carbon—represented by the water-soluble organic carbon fraction in hydrochar—was reduced 15-fold at 265 °C compared to the digestate. This reduction could decrease greenhouse gas emissions from 441 to 29 tons CO2-equivalent annually in a 1 MW biogas plant scenario, while sequestering 766 tons of carbon in cropland soils. Additionally, theoretical calculations suggest co-digestion with hydrothermal wastewater could enhance nutrient recovery and methane production, contributing to low-carbon emissions. These findings underscore hydrothermal carbonization’s potential for sustainable biogas power plant, agriculture, and climate change mitigation.
The COVID-19 pandemic is undoubtedly causing new habits that will affect several sectors around the world. The hotel business has taken a significant impact as a result of the physical distance regulation. Although nu...
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The accreditation assessment of a program in higher education institutions is a process that verifies, promotes and guarantees educational quality. In Chile, it is carried out by the National Accreditation Commission,...
ISBN:
(数字)9798331527891
ISBN:
(纸本)9798331527907
The accreditation assessment of a program in higher education institutions is a process that verifies, promotes and guarantees educational quality. In Chile, it is carried out by the National Accreditation Commission, a public autonomous organization, which considers different criteria, ending up into the number of years the program is accredited. This work aims to investigate the most relevant criteria into this assessment, considering the official records of the institution through a statistical model suitable for pattern recognition. Particularly, we analyze on Master programs related to Industrial engineering. Preliminary results allow us to distinguish the main variables for improving decision-making practices, it is noted that the most prominent one is the criterion associated to the prestige of the institution where the master's program is hosted.
This study provides a modified Bass model to deal with trend curves for basic issues of relevance to individuals from all over the world, for which we collected 16 data sets from 2004 to 2022 and that are available on...
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This note reformulates certain classical combinatorial duality theorems in the context of order lattices. For source-target networks, we generalize bottleneck path-cut and flow-cut duality results to edges with capaci...
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