A day-ahead electricity pricing model based on smart metering and demand-side management

Doostizadeh, Meysam; Ghasemi, Hassan

doi:10.1016/j.energy.2012.08.029

Cited by 181 publications

(116 citation statements)

References 16 publications

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“…En [10], [11] y [12] el actor principal en respuesta a la demanda es el usuario final. En [11] se introdujo una función de demanda que permite representar la demanda de diferentes tipos de cliente, además, de un modelo integral de respuesta de los consumidores ante variaciones de precios.…”

Section: Introductionunclassified

Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda

Pavas

Vivas

Rosas

2017

revuin

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Este artículo puede compartirse bajo la licencia CC BY-ND 4.0 y se referencia usando el siguiente formato: O. González, A. Pavas, S. Sánchez, "Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda", UIS Ingenierías, vol. RESUMENColombia 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%.PALABRAS CLAVE: Ahorro de energía, Gestión de demanda, Estrategias de gestión de demanda, Modelado de perfiles de carga. ABSTRACTColombia 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%.

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Section: Introductionunclassified

Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda

Pavas

Vivas

Rosas

2017

revuin

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“…a load profile of each consumer. This service creates the opportunity to implement advanced tariffs such as real-time tariffs taking into account spot prices on the market [2][3][4] demand level for defined period and also working capital tariffs based on consumer debt or credit, time of use system (TOU system). The TOU tariff system has basically a day and a night rate with only a slight price difference [5,6].…”

Section: Consumer Servicesmentioning

confidence: 99%

New consumer services provided by smart metering

Daminov

Tarasova

Gladkikh

et al. 2015

MATEC Web of Conferences

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Abstract. This paper focuses on the issues of smart metering market and considers different services provided by smart metering from consumer point of view. Firstly, smart metering deployment challenges emerging and conventional tariffs, which modify a consumer behavior and thus, the entire electric energy market can be optimized since the customer is motivated to consume less energy. Secondly, the authors illustrate changes in electricity quality, which have an impact on consumer relations with utility. Additionally, two main indices of grid resilience -SAIDI and SAIFI -are exemplified to reveal the improvement potential of smart metering implementation in certain regions of Russia that also influence the consumer. Finally, in-home display and privacy problem directly reflect the consumer's behavior, thus the private life rights should not be violated as they are guaranteed by law.

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“…It considerably complicates the calculation of the final efficiency of use different tariff categories for a particular company, because it requires time and expertise in this sphere. In addition, modern measurement systems are rather expensive and require considerable installation costs and installation [11][12][13][14][15][16][17][18]. Nevertheless, there is a positive experience of transition companies of Far Eastern region to new tariffs categories of retail market.…”

Section: State Of the Art Inn The Tariff Type Selection In The Retailmentioning

confidence: 99%

Cost Reduction Ability by Electricity Tariff Selection for Construction Facilities Located in Non-price Areas

Makasheva

Pinchukov

2016

MATEC Web Conf.

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A day-ahead electricity pricing model based on smart metering and demand-side management

Cited by 181 publications

References 16 publications

Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda

Cuantificación del ahorro de energía eléctrica en clientes residenciales mediante acciones de gestión de demanda

New consumer services provided by smart metering

Cost Reduction Ability by Electricity Tariff Selection for Construction Facilities Located in Non-price Areas

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