Impact of the enforcement of a time-of-use tariff to residential customers in Italy

Maggiore, Simone; Gallanti, Massimo; Grattieri, W.; Benini, Michele

doi:10.1049/cp.2013.0673

Cited by 20 publications

(17 citation statements)

References 3 publications

(3 reference statements)

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“…This was a positive factor from the end users' point of view, and about 60% of the households involved indicated that they had shifted at least some of their consumption from the more expensive peak hours to cheaper off-peak hours. This resulted in a shift of 1% of total energy consumption from peak to off-peak hours with respect to the period prior to the introduction of the TOU tariff [29]. The CLNR project (Customer Led Network Revolution) in England also opted for a simple tariff scheme: a three-rate TOU tariff which is updated once a year.…”

Section: Resultsmentioning

confidence: 99%

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

et al. 2016

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Abstract:Many smart grid projects make use of dynamic pricing schemes aimed to motivate consumers to shift and/or decrease energy use. Based upon existing literature and analyses of current smart grid projects, this survey paper presents key lessons on how to encourage households to adjust energy end use by means of dynamic tariffs. The paper identifies four key hypotheses related to fostering demand response through dynamic tariff schemes and examines whether these hypotheses can be accepted or rejected based on a review of published findings from a range of European pilot projects. We conclude that dynamic pricing schemes have the power to adjust energy consumption behavior within households. In order to work effectively, the dynamic tariff should be simple to understand for the end users, with timely notifications of price changes, a considerable effect on their energy bill and, if the tariff is more complex, the burden for the consumer could be eased by introducing automated control. Although sometimes the mere introduction of a dynamic tariff has proven to be effective, often the success of the pricing scheme depends also on other factors influencing the behavior of end users. An important condition to make dynamic tariffs work is that the end users should be engaged with them.

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Section: Resultsmentioning

confidence: 99%

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

et al. 2016

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“…Additionally, the increased number of measurements allowed the activation of new services for customers such as the exploitation of ToU pricing regime with three time bands for households and small business customers [25], invoices on real consumption, remote contract management, together with network management (e.g., loss reduction) whose benefits can pass to the final customers thanks to the regulation.…”

Section: A Review Of Energy Metering Deployment Strategiesmentioning

confidence: 99%

The Role of Smart Meters in Enabling Real-Time Energy Services for Households: The Italian Case

et al. 2017

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Abstract:The Smart Meter (SM) is an essential tool for successful balancing the demand-offer energy curve. It allows the linking of the consumption and production measurements with the time information and the customer's identity, enabling the substitution of flat-price billing with smarter solutions, such as Time-of-Use or Real-Time Pricing. In addition to sending data to the energy operators for billing and monitoring purposes, Smart Meters must be able to send the same data to customer devices in near-real-time conditions, enabling new services such as instant energy awareness and home automation. In this article, we review the ongoing situation in Europe regarding real-time services for the final customers. Then, we review the architectural and technological options that have been considered for the roll-out phase of the Italian second generation of Smart Meters. Finally, we identify a collection of use cases, along with their functional and performance requirements, and discuss what architectures and communications technologies can meet these requirements.

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“…The difference between peak and off-peak tariff must be significant or else it will not able to change the load profile as desired. This is the case of Time of Use tariff program in Italy [1]. From the study in [1], after the implementation of mandatory TOU program, they discovered about only 1% of peak shifting consumption occur from peak hour to off-peak hour.…”

Section: Time Of Use (Tou) Electricity Pricingmentioning

confidence: 99%

“…Time-of-Use (TOU) program have already been implemented throughout the world with different approach and mechanism [1][2][3][4][5][6]. Nevertheless they share the same ultimate goal of to stabilize the generation rate to meet up with the ever increasing consumer demand.…”

Section: Introductionmentioning

confidence: 99%

Time of Use pricing for residential customers case of Malaysia

Muzmar

Abdullah

Hassan

et al. 2015

2015 IEEE Student Conference on Research and Development (SCOReD)

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Time-of-Use (TOU) pricing is a rate of prices depending on time period, which having high electricity tariff at peak demand period and lower tariff at off-peak period. In Malaysia, a flat tariff is applied on residential customer disregard the time of use. Simple TOU pricing is applied on industrial and commercial customers where they pay lower tariff for the electricity used during night time and higher tariff for daytime usage. This to encourage the customer to shifts their electricity usage from peak demand period (daytime) into low demand period (night time). The same TOU pricing cannot be implemented to residential customers since their load is already low during daytime but high during night time (8pm-12pm). This paper studies the TOU prices required for residential customers to make a significant impact on peak demand reduction. Practical load profile data from Malaysian residential and commercial customers are used as a case study. The result shows a significant price difference between the peak and off-peak hours are required to ensure the effectiveness of such pricing.

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Impact of the enforcement of a time-of-use tariff to residential customers in Italy

Cited by 20 publications

References 3 publications

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

The Role of Smart Meters in Enabling Real-Time Energy Services for Households: The Italian Case

Time of Use pricing for residential customers case of Malaysia

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