Challenges and barriers to demand response deployment and evaluation

Nolan, Sheila; O’Malley, Mark

doi:10.1016/j.apenergy.2015.04.083

Cited by 260 publications

(126 citation statements)

References 54 publications

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“…Despite the study identifying viable DSM business case -which exploit the flexibility inherent in most harbour energy systems there was little appetite among large consumers to turn business case into industrial practice. The findings therefore supports previous work undertaken by [41] who characterise that present state of DSM as a chicken and egg situation, where policy maker and consumer wait for the other to take the initiative for energy management and balancing the grid. The main barriers include the relatively low energy cost savings in relation to the overall operating costs; institutional inertia and scepticism and an unwillingness to move outside core business; and a lack of perceived threat to the energy supply and energy markets that are not set up to exploit flexibility or renewable energy.…”

Section: Resultssupporting

confidence: 79%

Assessing energy business cases implemented in the North Sea Region and strategy recommendations

Nayak

Gray

et al. 2016

Applied Energy

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Section: Resultssupporting

confidence: 79%

Assessing energy business cases implemented in the North Sea Region and strategy recommendations

Nayak

Gray

et al. 2016

Applied Energy

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“…To enable small customers like residential and commercial customers to take part in demand response activities, they need to be aggregated. An aggregator is a mediator between electricity customers, who offer demand response or provide distributed energy resources, and electricity market actors like Distribution System Operators (DSOs) and Balance Responsible Parties (BRPs) that wish to exploit these services [35]. Namely, aggregators gather the demand response provided by the customers and then they offer this flexibility to the market players.…”

Section: Flexibility Through Demand Response Aggregationmentioning

confidence: 99%

Complex Systems Engineering: designing in sociotechnical systems for the energy transition

Escudero¹,

Guerrero²,

Lee³

et al. 2017

EAI Endorsed Transactions on Energy Web

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The EU has set ambitious targets for an energy transition. While research often focuses on technology, institutions or actors, a transition requires complex coordination and comprehensive analysis and design. We propose a framework accounting for technology, institutions and actors' perspective to design in socio-technical systems. We present its application, firstly, to biodiesel production in Germany; secondly, to vehicle-to-grid contracts in a Car as a Power Plant microgrid. We show how using the framework as the core in modelling can contribute to the performance improvement of these systems. Future work will elaborate on the next generation of thermal energy systems, coordination control of microgrids and implementing flexibility through demand response aggregation. Overall, designing solutions to the problems described calls for comprehensive engineers who look beyond the technical design and deal with multi actor socio-political processes including institutional consideration.

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“…Constraint (19) defines the reserve range of BES, which is restricted by both the rated power and the SOC limit. 0 ≤ P dis ba,j,t ≤ U dis ba,j,t P ba,j,max (13) 0 ≤ P cha ba,j,t ≤ U cha ba,j,t P ba,j,max (14) 0…”

Section: Bes Constraintsmentioning

confidence: 99%

“…For each BES, the discharging and charging power are limited by the corresponding maximum and minimum limits in (13) and (14), respectively. Constraint (15) indicates that the charging and the discharging status of BES are mutually exclusive.…”

Section: Bes Constraintsmentioning

confidence: 99%

Hierarchical Energy Management of Microgrids including Storage and Demand Response

Fan

Piao

2018

Energies

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Battery energy storage (BES) and demand response (DR) are considered to be promising technologies to cope with the uncertainty of renewable energy sources (RES) and the load in the microgrid (MG). Considering the distinct prediction accuracies of the RES and load at different timescales, it is essential to incorporate the multi-timescale characteristics of BES and DR in MG energy management. Under this background, a hierarchical energy management framework is put forward for an MG including multi-timescale BES and DR to optimize operation with the uncertainty of RES as well as load. This framework comprises three stages of scheduling: day-ahead scheduling (DAS), hour-ahead scheduling (HAS), and real-time scheduling (RTS). In DAS, a scenario-based stochastic optimization model is established to minimize the expected operating cost of MG, while ensuring its safe operation. The HAS is utilized to bridge DAS and RTS. In RTS, a control strategy is proposed to eliminate the imbalanced power owing to the fluctuations of RES and load. Then, a decomposition-based algorithm is adopted to settle the models in DAS and HAS. Simulation results on a seven-bus MG validate the effectiveness of the proposed methodology.

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Challenges and barriers to demand response deployment and evaluation

Cited by 260 publications

References 54 publications

Assessing energy business cases implemented in the North Sea Region and strategy recommendations

Assessing energy business cases implemented in the North Sea Region and strategy recommendations

Complex Systems Engineering: designing in sociotechnical systems for the energy transition

Hierarchical Energy Management of Microgrids including Storage and Demand Response

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