Demand response performance and uncertainty: A systematic literature review

Silva, C.; Faria, Pedro; Vale, Zita; Corchado, Juan M.

doi:10.1016/j.esr.2022.100857

Cited by 51 publications

(16 citation statements)

References 162 publications

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“…Although the DR has been studied for multiple fields, for example a variety of building services and industries [15,[19][20][21][22]28,[60][61][62][63][64][65], the implementation of DR in VF is not well studied quantitatively. The power demand pattern for VF is unique compared to, for example industry or building services, requiring separate analyses and simulations for evaluating DR's potential.…”

Section: Demand Response In Vertical Farmmentioning

confidence: 99%

“…Residential buildings can save anywhere between 25% and 40% of their energy costs by using control strategies based on DR [15][16][17][18][19][20]. In addition, DR is also potentially applicable to some industrial loads, examples of which include aluminium smelters and steel manufacturing plants that save 5% to 52% of production costs through DR [21][22]. The number of studies discussing the application of DR in VF is, however, limited.…”

Section: Introductionmentioning

confidence: 99%

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Urban vertical farming with a large wind power share and optimised electricity costs

et al. 2023

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Section: Demand Response In Vertical Farmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban vertical farming with a large wind power share and optimised electricity costs

et al. 2023

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“…It can operate in different network parts using the connected resources to deliver electricity and ancillary services. This entity can also be an intermediary between small players and the wholesale market [9][10][11][12]. The aggregator can also gather flexibility through renewable-based and active consumers (through DR) acting as a Local Energy Community (LEC) manager.…”

Section: Contextualization and Backgroundmentioning

confidence: 99%

“…It can opera different network parts using the connected resources to deliver electricity and anc services. This entity can also be an intermediary between small players and the whol market [9][10][11][12]. The aggregator can also gather flexibility through renewable-based active consumers (through DR) acting as a Local Energy Community (LEC) manag [10], LEC is defined as "an association, a cooperative, a partnership, a non-profit organizat other legal entity which is effectively controlled by local shareholders or members, generally, v rather than profit-driven, involved in distributed generation and performing activities distribution system operator, supplier or aggregator at the local level, including across bord LEC sends different signals for the active players to participate in different contex help balance the grid.…”

Section: Contextualization and Backgroundmentioning

confidence: 99%

Demand Response Implementation: Overview of Europe and United States Status

Silva¹,

Faria²,

Vale³

2023

Energies

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The authors review the efforts made in the last five years to implement Demand Response (DR) programs, considering and studying several models and countries. As motivation, climate change has been a topic widely discussed in the last decades, namely in the power and energy sectors. Therefore, it is crucial to substitute non-renewable fuels with more environment-friendly solutions. Enabling Distributed Generation (DG), namely using renewable resources such as wind and solar, can be part of the solution to reduce the greenhouse effects. However, their unpredictable behavior might result in several problems for network management. Therefore, the consumer should become more flexible towards this new paradigm where the generation no longer follows the demand requests. With this, Demand Response (DR) concept is created as part of this solution. This paper studies the European Union and United States’ current status, with over 50 references.

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“…Electrical energy consumption increased dramatically in recent years, prompting distribution systems to deliver necessary power through proper design and utilization of networks. Incorporating RES 3,4 such as solar and wind are widely considered to improve grid efficiency and meet demand needs due to their environmental benefits, lower maintenance costs and less environmental impact 5,6 .…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Management Applying Load Elasticity Integrating Renewable Resources

Ragab

Ibrahim

Desouki

et al. 2023

Preprint

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Urban growth aimed at developing smart cities confronts several obstacles, such as difficulties and costs in constructing stations and meeting consumer demands. These are possible to overcome by integrating Renewable Energy Resources (RESs) with the help of demand side management (DSM) for managing generation and loading profiles to minimize electricity bills while accounting for reduction in carbon emissions and the peak to average ratio (PAR) of the load. This study aims to achieve a multi-objective goal of optimizing energy management in smart cities which is accomplished by optimally allocating RESs combined with demand response (DR) for creating a flexible load profile under RESs and load uncertainty. A comprehensive study is applied to IEEE 69-bus with different scenarios using Sea-Horse Optimization (SHO) for optimal citing and sizing of the RESs while serving the objectives of minimizing total power losses and reducing PAR. SHO performance is evaluated and compared to other techniques such as Genetic Algorithm (GA), Grey Wolf Optimization (GWO) and Whale Optimization (WO) algorithms. The results show that combining elastic load shifting with optimal sizing and allocation using SHO achieves a global optimum solution for the highest power loss reduction while using a significantly smaller sized RESs than the counterpart.

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Demand response performance and uncertainty: A systematic literature review

Cited by 51 publications

References 162 publications

Urban vertical farming with a large wind power share and optimised electricity costs

Urban vertical farming with a large wind power share and optimised electricity costs

Demand Response Implementation: Overview of Europe and United States Status

Optimal Energy Management Applying Load Elasticity Integrating Renewable Resources

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