Impact of source variability on flexibility for demand response

O’Connell, Sarah; Reynders, Glenn; Keane, Marcus

doi:10.1016/j.energy.2021.121612

Cited by 17 publications

(9 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, appliances such as electric vehicles (EVs) can eliminate the temporal or spatial mismatch between surplus generation and power demand; forecasting the spatio-temporal distribution of the next day's pure demand and generation within the city will contribute to schedule charging/discharging plan of EVs such that the vehicles charge surplus generation in appropriate timing and discharge at an area with high power demand. O'Connell et al [12] have suggested that planned increases or reductions in power demand according to the demand response (DR) can enhance local energy self-sufficiency; the DR potential depends on the availability of easily controllable energy appliances such as air conditioners and lighting, and therefore, information on the pure demand may help quantify such controllability [13,14]. Additionally, information on pure power generation is useful for supporting electricity flexibility through Peer-to-Peer (P2P) trading between prosumers [4,15] and estimating the additional potential of DERs [5,[16][17][18][19].…”

Section: Introduction 1| Motivationmentioning

confidence: 99%

“…O'Connell et al. [12] have suggested that planned increases or reductions in power demand according to the demand response (DR) can enhance local energy self‐sufficiency; the DR potential depends on the availability of easily controllable energy appliances such as air conditioners and lighting, and therefore, information on the pure demand may help quantify such controllability [13, 14]. Additionally, information on pure power generation is useful for supporting electricity flexibility through Peer‐to‐Peer (P2P) trading between prosumers [4, 15] and estimating the additional potential of DERs [5, 16–19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

et al. 2023

View full text Add to dashboard Cite

Local energy self‐sufficiency, in which the supply and demand of electricity are controlled such that the generated power from distributed energy resources (DERs) is consumed locally based on a power supply‐and‐demand forecast, mitigates the burden on the power system and contributes to the efficient use of DERs in smart cities. However, widely available smart metres cannot measure behind‐the‐metre pure demand and generation from prosumers. Pure demand and generation forecasts without additional metering contribute to advanced supply‐and‐demand control in smart cities, including demand response. This study proposes a method of forecasting spatio‐temporal behaviours of behind‐the‐metre pure demand and generation by focussing on the information of net demand distribution observable from the smart metres; the proposed method initially predicts the spatio‐temporal net demand distribution with a combined forecaster based on the persistence and non‐parametric regression models, and then separately estimates the behind‐the‐metre pure demand and generation by using demand forecast result of neighbouring pure‐consumers extracted by considering the area‐scale behaviours of the smart metering data. The simulation results demonstrate that the proposed method provides accuracy comparable to forecasts conducted by directly measuring pure demand and generation, without requiring the installation of additional metres.

show abstract

Section: Introduction 1| Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

et al. 2023

View full text Add to dashboard Cite

show abstract

“…pumped hydro power or compressed air energy storage), and conversion of the renewable electricity to secondary energy carriers (i.e., power-to-H 2 , power-tomethane, power-to-ammonia, etc.). [11][12][13][14] Batteries have proven to be the most suitable solution for short-term mitigation of fluctuations (excess and deficit of renewable generation) in the grid by offering a wide spectrum of grid services. [11][12][13] At the same time, for longer durations currently proposed energy carriers, PtX technologies are often referred as an ideal path for converting renewable and carbon-free electricity into fuels.…”

Section: Introductionmentioning

confidence: 99%

“…[11][12][13][14] Batteries have proven to be the most suitable solution for short-term mitigation of fluctuations (excess and deficit of renewable generation) in the grid by offering a wide spectrum of grid services. [11][12][13] At the same time, for longer durations currently proposed energy carriers, PtX technologies are often referred as an ideal path for converting renewable and carbon-free electricity into fuels. [15] H 2 in this manner provide highest gravimetric energy density among other energy carriers but for longer storage durations its low volumetric energy density is limiting the applications, mainly due to large H 2 storage volumes and costs.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Energy Storage and Hydrogen Supply Based on Aluminum—a Multiservice Case for Electric Mobility and Energy Storage Services

Ersoy

Baumann

Barelli

et al. 2022

Adv Materials Technologies

View full text Add to dashboard Cite

The realization of a fully decarbonized mobility and energy system requires the availability of carbon‐free electricity and fuels which can be ensured only by cost‐efficient and sustainable energy storage technologies. In line with this demand, a techno‐economic evaluation of aluminum as a cross‐sectoral renewable energy carrier is conducted. The assessment, based on a newly developed process, involves the wet combustion of Aluminum at 700 °C resulting in heat and hydrogen (H2) generation. The designed conversion plant enables the contemporaneous generation of electricity and on demand H2 (up to 4 MW and 46.8 kg h–1) with round‐trip efficiencies as high as 40.7% and full recycling of the Al2O3 waste. This study, assuming the carbon‐free production of Al and three different energy cost scenarios, proves the feasibility of the e‐fueling station business case. The overall energy conversion including fuel production (power‐to‐Al), utilization (Al‐to‐power and Al‐to‐H2), and recycling requires a capital investment of 5200 € per kW installed power without additional primary material demand. Hence, the estimated power‐to‐X cost for the Al‐based H2 is estimated in the range of 4.2–9.6 € kg–1 H2, while wind and solar power based green H2 production cost varies from 6.5 to 12.1 € kg–1 H2.

show abstract

“…DR strategy[19]. Finally, Qing Lu et al[20] explored operational and energy models for the optimization scheduling of integrated energy systems considering multienergy demand response for end users.…”

mentioning

confidence: 99%

A demand response strategy for air compressors network with optimal production and energy utilisation

Zulkafli

Jelas

Sulaima

et al. 2022

Preprint

View full text Add to dashboard Cite

The approach of integrating demand response strategy with operational scheduling is used to investigate the flexibility in the operational performance under time-sensitive electricity tariffs and to provide cost benefits analysis to the industrial consumers. The proposed approach focused on implementing a demand response strategy in a case study of scheduling for an industrial network of compressors for Time of Use and Enhanced Time of Use tariffs for heavy industries. The optimisation framework was developed as a mixed integer linear programming model. The percentage of total cost reduction is around 5% to 13% by implementing a demand response program. A considerable percentage of cost saving is possible to achieve for the Enhanced Time of use tariff since it offers an extensive off-peak time zone during the night hours and on the weekend. It is concluded that the study highlights the operational performance goal of achieving cost savings by implementing a demand response strategy for energy industries.

show abstract

Impact of source variability on flexibility for demand response

Cited by 17 publications

References 57 publications

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

Hybrid Energy Storage and Hydrogen Supply Based on Aluminum—a Multiservice Case for Electric Mobility and Energy Storage Services

A demand response strategy for air compressors network with optimal production and energy utilisation

Contact Info

Product

Resources

About