2006
DOI: 10.1016/j.enpol.2005.07.012
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Real-time pricing with ramping costs: A new approach to managing a steep change in electricity demand

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Cited by 49 publications
(29 citation statements)
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“…PV-based fuel generation can be used to bridge the gap between peak solar power and utility load curves (2,4,5), the simplest example of which is PV-driven water splitting to generate hydrogen as a fuel. A current lack of distribution and storage infrastructure for H 2 , however, has led to slow technology adoption and thus H 2 is not yet widely used directly as a transportation fuel or for electricity generation via fuel cells (6,7).…”
mentioning
confidence: 99%
“…PV-based fuel generation can be used to bridge the gap between peak solar power and utility load curves (2,4,5), the simplest example of which is PV-driven water splitting to generate hydrogen as a fuel. A current lack of distribution and storage infrastructure for H 2 , however, has led to slow technology adoption and thus H 2 is not yet widely used directly as a transportation fuel or for electricity generation via fuel cells (6,7).…”
mentioning
confidence: 99%
“…The use of time‐of‐use and real‐time pricing requires investment in infrastructure, like smart meters, and proper empirical estimation of marginal costs for providing electricity for optimal rate setting. Tanaka () points to the cases with real‐time pricing with ramping costs, and suggests a new approach to managing a steep change in electricity demand which explicitly takes into account the ramping costs. Allcott () evaluated the first real‐time pricing program in the USA.…”
Section: Demand Response In the Electricity Marketmentioning
confidence: 99%
“…Ref. [3] proposed that electricity demand may increase steeply during the morning hours and decrease steeply during the evening hours which should be considered in real-time pricing mechanism. However, at present, the pilot of real-time electricity price had not been promoted in China and the design of the real-time electricity pricing mechanism has not been unified, so it is thus urgent to analyse more in depth the reasonable policy of real-time electricity pricing and design the optimal real-time electricity pricing system.…”
Section: Introductionmentioning
confidence: 99%