Impact of residential electricity tariffs with variable energy prices on low voltage grids with photovoltaic generation

Ruppert, Manuel; Hayn, Marian; Bertsch, Valentin; Fïchtner, Wolf

doi:10.1016/j.ijepes.2016.01.017

Cited by 18 publications

(17 citation statements)

References 23 publications

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“…For our study, we use solar radiation profiles from near Dublin in Ireland and Karlsruhe in Germany. The profiles are converted into power generation profiles using a physical PV model (Ritzenhoff 1992;Bertsch et al 2014;Ruppert et al 2016). This model calculates the PV modules' electrical yield based on incident light, module efficiency and its orientation described by longitude, latitude, tilt and azimuth of the modules.…”

Section: Supply Side Datamentioning

confidence: 99%

What drives the profitability of household PV investments, self-consumption and self-sufficiency?

2017

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Many countries introduced subsidy schemes that were successful in incentivising investments into residential solar PV. The resulting growth of the global PV market was accompanied by cost reductions for PV systems, reductions of PV subsidies and, often, increasing electricity retail prices. Along with decreasing costs for battery storages, these developments made self-consumption and self-sufficiency continuously more attractive. However, the profitability of PV-storage systems depends on many factors, including technological, political and geographical aspects. We present a simulation model to identify the most profitable sizes of PV and storage systems from a household perspective and explore what drives the profitability of self-consumption and self-sufficiency. We compare and contrast Germany and Ireland to account for regulatory and geographical differences. Our results show that PV-storage systems are generally profitable in Germany and that, after minor technology cost reductions, this result holds even in the absence of subsidies. In Ireland, such systems are not yet profitable but this may change soon with expected technology costs reductions. The share of electricity demand that will be required from the grid may be reduced to 25-35%. Implications for the electricity retail business and policy makers are discussed including distributional concerns and system efficiency considerations.

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Section: Supply Side Datamentioning

confidence: 99%

What drives the profitability of household PV investments, self-consumption and self-sufficiency?

2017

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“…Consequently, load‐shifting can lead to flattening of the load profile and can result in increased efficiency and stability of the power network. Load‐shifting programs can influence the electricity use of customers via two different mechanisms: an incentive‐based pricing mechanism involving consumers or via domestic appliances that can be controlled from the utility side …”

Section: Methodsmentioning

confidence: 99%

“…Load-shifting programs can influence the electricity use of customers via two different mechanisms: an incentive-based pricing mechanism involving consumers or via domestic appliances that can be controlled from the utility side. 29,30 We select domestic EWHs as the shiftable load since they share around 30% of the aggregate residential demand amid on-peak periods. 7 In spite of the fact that on-peak demand represents just a little portion of the generation capacity, it can result in added stress on the grid and increase the cost of generation.…”

Section: Load-shifting Modelmentioning

confidence: 99%

Optimizing 100%‐renewable grids through shifting residential water‐heater load

Ali¹,

Lenzen

Tyedmers

2019

Int J Energy Res

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Summary A low‐carbon electricity supply for Australia was simulated, and the installed capacity of the electrical grid was optimized by shifting the electricity demand of residential electric water heaters (EWHs). The load‐shifting potential of Australia was estimated for each hour of the simulation period using a nationwide aggregate EWH load model on a 90 × 110 raster grid. The electricity demand of water heaters was shifted from periods of low renewable resource and high demand to periods of high renewable resource and low demand, enabling us to effectively reduce the installed capacity requirements of a 100%‐renewable electricity grid. It was found that by shifting the EWH load by just 1 hour, the electricity demand of Australia could be met using purely renewable electricity at an installed capacity of 145 GW with a capacity factor of 30%, an electricity spillage of 20%, and a generation cost of 15.2 ¢/kWh. A breakdown of the primary energy sources used in our scenario is as follows: 43% wind, 29% concentrated solar thermal power, and 20% utility photovoltaic. Sensitivity analysis suggested that further reduction in installed capacity is possible by increasing the load‐shifting duration as well as the volume and insulation level of the EWH tank.

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“…Self-generation does not have to be traded via the wholesale market (Ackermann et al, 2001) and results in a number of potential benefits for the energy system, among which there is the reduced peak generation requirement (see Luthander et al, 2015, for a survey). Nonetheless, selfgeneration from rooftop solar PV systems increases the load dependence on weather, seasons, and time of the day (Ruppert et al, 2016), thus resulting in less smooth and spikier grid load shapes, which can make the existing standard load profiles inappropriate. This inappropriateness is highlighted in Fig.1, which shows the German hourly load (in MW) of the residential sector in June 2010 and 2016 (chart (a) and chart (b), respectively), and the contribution of rooftop solar PV selfgeneration in satisfying the electricity demand of the residential sector (blue area in the charts) in the period 1 .…”

Section: Literature Reviewmentioning

confidence: 99%

A looming revolution: Implications of self-generation for the risk exposure of retailers

Russo

Bertsch

2020

Energy Economics

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Managing the risk associated with uncertain load has always been a challenge for retailers in electricity markets. Yet the load variability has been largely predictable in the past, especially when aggregating a large number of consumers. In contrast, the increasing penetration of unpredictable, small-scale electricity generation by consumers, i.e. self-generation, constitutes a new and yet greater volume risk. Using value-at-risk metrics and Monte Carlo simulations based on German historical loads and prices, the contribution of decentralized solar PV self-generation to retailers' load and revenue risks is assessed. This analysis has implications for the consumers' welfare and the overall efficiency of electricity markets.

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Impact of residential electricity tariffs with variable energy prices on low voltage grids with photovoltaic generation

Cited by 18 publications

References 23 publications

What drives the profitability of household PV investments, self-consumption and self-sufficiency?

What drives the profitability of household PV investments, self-consumption and self-sufficiency?

Optimizing 100%‐renewable grids through shifting residential water‐heater load

A looming revolution: Implications of self-generation for the risk exposure of retailers

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