Hacia el análisis de oportunidades energéticas con fuentes alternativas en el departamento de Nariño

Los proyectos sostenibles con fuentes no convencionales de energía han probado ser una solución técnica y económicamente factible para la energización de las regiones apartadas. Partiendo de la situación generalizada del país y, en particular de Nariño, el planteamiento de proyectos de investigación que analicen los recursos locales permitirá contribuir al desarrollo de un modelo que tenga en cuenta la inclusión de fuentes renovables y su gestión por medio de tecnologías de redes inteligentes que faciliten programas de eficiencia energética y uso racional de la energía. En este sentido, el proyecto Análisis de Oportunidades Energéticas con Fuentes Alternativas en el departamento de Nariño (ALTERNAR) plantea la caracterización de los recursos a nivel local y la investigación en sistemas completos de suministro de energía en zonas no interconectadas para incentivar el desarrollo económico y social de estas regiones rurales del departamento

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Model and simulation of a microgrid based on a traditional electrical infrastructure

In this work, we model a low-power microgrid based on the distribution grid of the University of Nariño, Colombia. The model includes photovoltaic, wind, microturbines, and fuel cell generators to satisfy the demanded power in the campus, according to measured demand profiles in the low voltage side. The design and simulation are performed in SimPowerSystems simplifying the low-level controllers to reduce the simulation time and to allow the system to solve the economic dispatch of all distributed units in the same simulation platform. To prove the model application, some results that show the behavior of the system are presented. Although the integration of low-power alternative energy sources is not enough to satisfy the demanded power in the campus, the distributed generation penetration provides sufficient power to reduce costs and environmental impact

Modeling and analysis for a temperature system based on resource dynamics and the ideal free distribution

Bioinspired design approaches seek to exploit nature in order to construct robust and optimal solutions. One useful concept from behavioral ecology is the ideal free distribution (IFD). Here, we relax the IFD main assumptions using the standing crop idea to introduce dynamics to the resources. Using the IFD, the standing crop, and the replicator dynamics concepts, we make some analogies with a temperature control in order to get a maximum uniform temperature. We analytically show that the equilibrium point of the system (i.e., the IFD) is a locally asymptotically stable point, and it is a globally asymptotically stable point for one special case

Distributed optimization using population dynamics with a local replicator equation

In distributed optimization problems, each agent can get information only from a neighborhood defined by a network topology to minimize a global objective function in a networked system. To solve this problem, we present a local strategy based on population dynamics, in order to perform a dynamic resource allocation in a system described by connected graph. The local replicator equation (LRE) is applied to a lighting control system to show that the achieved equilibrium point is an optimal solution to certain distributed optimization problems. We present some simulation results with different conditions, and a stability analysis to guarantee the convergence of the proposed algorithm

Multizone illuminance control based on replicator dynamics

Illumination tracking in different zones for extensive buildings is a complex task for centralized controllers. In order to achieve different set points in diverse environments with information from light sensors, a distributed strategy based on replicator dynamics is presented. With this strategy, the appropriate illuminance levels are preserved along with the comfort required in each area by taking advantage of the daylight and inter-zone influences. The proposed algorithm is programmed in simulations with an indoor illumination model in order to tune the controller parameters. Then, a discrete version of the method is programmed in a microcontroller system to prove its performance in a mockup model with sensors and LED lamps in a multizone distribution