Quantification of electrical energy savings in residential customers through demand management strategies
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Universidad Industrial de Santander
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Colombia enfrentó entre 2015 y 2016 uno de los fenómenos de El Niño más severos de su historia quedando ad-portas de un racionamiento de energía. La gestión de demanda puede ayudar, entre otros aspectos, a reducir el consumo de energía en cualquier escenario de disponibilidad de recursos energéticos, no sólo en emergencia. El artículo presenta la cuantificación de los posibles ahorros en clientes residenciales en Bogotá D.C., determinados a partir del modelado de diferentes estrategias de gestión de demanda. Los resultados muestran que pueden lograrse reducciones en el consumo entre 6 y 26% mediante sustitución de dispositivos, 7 y 19% mediante cambio de hábitos de consumo, y entre 17% y 45% como ahorro total posible. Los resultados también revelan que los clientes con menores consumos de energía pueden alcanzar ahorros de hasta el 45%, mientras que los clientes con consumos mayores de 150 kWh/mes no logran ahorros superiores al 20%.
Colombia faced from 2015 to 2016 one of most severe El Niño whether phenomenal in its history, being close to energy rationing. Demand management can help to reduce energy consumption under any scenario of energy availability, not only under emergencies. This article presents the quantification of potential savings in residential customers in Bogotá D.C., determined from the modeling of different demand management strategies. The results show energy reduction between 6 and 26% resorting to device substitution, 7 and 19% through energy consumption patterns adjustments, and between 17% and 45% as possible total energy savings. The results reveal as well that customers with low energy consumption can reach upto 45% savings, in contrast to customers with consumption energy greater than 150 kWh/month cannot reach energy saving above 20%.
Colombia faced from 2015 to 2016 one of most severe El Niño whether phenomenal in its history, being close to energy rationing. Demand management can help to reduce energy consumption under any scenario of energy availability, not only under emergencies. This article presents the quantification of potential savings in residential customers in Bogotá D.C., determined from the modeling of different demand management strategies. The results show energy reduction between 6 and 26% resorting to device substitution, 7 and 19% through energy consumption patterns adjustments, and between 17% and 45% as possible total energy savings. The results reveal as well that customers with low energy consumption can reach upto 45% savings, in contrast to customers with consumption energy greater than 150 kWh/month cannot reach energy saving above 20%.
Keywords
Demand management, demand management strategies, energy savings, load profile modeling, Ahorro de energía, gestión de demanda, estrategias de gestión de demanda, modelado de perfiles de carga