Abstract:The surge in the supply of intermittent renewable energy creates new challenges for electricity networks. The high variation in the supply either requires costly network extensions or the implementation of incentives that reduce peaks. One variant of the latter are dynamic tariffs. While dynamic pricing provides an efficient tariff scheme, people may perceive it as unfair. This paper examines to which extent such peak pricing is actually unfair and, if so, how this unfairness can be lessened by adapting the ta… Show more
“…These conclusions are in line with the findings in behavioural economics and ethics literature (Neuteleers et al, 2016). Behavioural economics teaches us that people react negatively to price changes which are not based on changes in costs but on, in their view, arbitrary conditions, such as scarcity in the market.…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netsupporting
confidence: 78%
“…A survey among a panel of Dutch consumers 29 has shown that, on average, people do not consider dynamic tariffs, which are depending on the congestion in the network, unfair (Neuteleers et al, 2016). The percentage of people considering dynamic tariffs as (very) unfair is about the same as the percentage considering these tariffs as (very) fair (Figure 3).…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netmentioning
confidence: 63%
“…Note: fairness score = % "(very) fair" -% "(very) unfair" Source: Neuteleers et al (2016) Dynamic tariffs may be efficient in economic terms, the question is to what extent citizens perceive them as fair. A survey among a panel of Dutch consumers 29 has shown that, on average, people do not consider dynamic tariffs, which are depending on the congestion in the network, unfair (Neuteleers et al, 2016).…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netmentioning
“…These conclusions are in line with the findings in behavioural economics and ethics literature (Neuteleers et al, 2016). Behavioural economics teaches us that people react negatively to price changes which are not based on changes in costs but on, in their view, arbitrary conditions, such as scarcity in the market.…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netsupporting
confidence: 78%
“…A survey among a panel of Dutch consumers 29 has shown that, on average, people do not consider dynamic tariffs, which are depending on the congestion in the network, unfair (Neuteleers et al, 2016). The percentage of people considering dynamic tariffs as (very) unfair is about the same as the percentage considering these tariffs as (very) fair (Figure 3).…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netmentioning
confidence: 63%
“…Note: fairness score = % "(very) fair" -% "(very) unfair" Source: Neuteleers et al (2016) Dynamic tariffs may be efficient in economic terms, the question is to what extent citizens perceive them as fair. A survey among a panel of Dutch consumers 29 has shown that, on average, people do not consider dynamic tariffs, which are depending on the congestion in the network, unfair (Neuteleers et al, 2016).…”
Section: Figure 3 Assessment Of the Fairness Of Various Types Of Netmentioning
“…As discussed by Neuteleers et al the concrete tariff implementation plays an important role in setting prices that clearly associates with revenues needed to maintain the grid, in providing predictable prices, and in using clear arguments [48]. In setting such tariffs for the future electricity system, this is likely to result in a complex puzzle.…”
Abstract:To deal with the rising integration of stochastic renewables and energy intensive distributed energy resources (DER) to the electricity network, alternatives to expensive network reinforcements are increasingly needed. An alternative solution often under consideration is integrating flexibility from the consumer side to system management. However, such a solution needs to be contemplated from different angles before it can be implemented in practice. To this end, this article considers a case study of the Amsterdam ArenA stadium and its surrounding network where flexibility is expected to be available to support the network in the future. The article studies the technical aspects of using this flexibility to determine to what extent, despite the different, orthogonal goals, the available flexibility can be used by various stakeholders in scenarios with a large load from electric vehicle charging points. Furthermore, a legal study is performed to determine the feasibility of the technical solutions proposed by analysing current European Union (EU) and Dutch law and focusing on the current agreements existing between the parties involved. The article shows that flexibility in the network provided by Amsterdam ArenA is able to significantly increase the number of charging points the network can accommodate. Nonetheless, while several uses of flexibility are feasible under current law, the use of flexibility provided by electric vehicles specifically faces several legal challenges in current arrangements.
“…However other problems could arise such as fairness or cost recovery. Reference [9] studied the fairness of dynamic grid tariffs and pointed that it is important to remember all the principles of tariff design when assessing them.…”
Section: State Of the Art And Contributionmentioning
This paper investigates the relationship between grid tariffs and investment in Zero Emission Neighborhoods (ZEN) energy system, and how the grid exchanges are affected. Different grid tariffs (energy based, time of use (ToU), subscribed capacity and dynamic) are implemented in an optimization model that minimizes the cost of investing and operating a ZEN during its lifetime. The analysis is conducted in two cases: non-constrained exports and exports limited to 100kWh/h. The results suggest that in the case with no limit on export, the grid tariff has little influence, but ToU is economically advantageous for both the ZEN and the DSO. When exports are limited, the subscribed capacity scheme allows to maintain DSO revenue, while the others cut them by half. This tariff also offers the lowest maximum peak and a good duration curve. The dynamic tariff creates new potentially problematic peak imports despite its benefits in other peak hours.
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