Time-based pricing and electricity demand response: Existing barriers and next steps

Eid, Cherrelle; Koliou, Elta; Vallés, Mercedes; Reneses, Javier; Hakvoort, Rudi A.

doi:10.1016/j.jup.2016.04.001

Cited by 225 publications

(109 citation statements)

References 21 publications

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“…There has been significant research into the expected consumer challenges and enabling technology as well as on DR's expected benefits in balancing grids and reducing environmental pollution (Shelia & Mark, 2015;Cherrelle, 2016;Haider, Ong, & Wilfried, 2016). There is no doubt that consumer preference analyses and the technological improvements are necessary for DR deployment.…”

Section: Methodsmentioning

confidence: 99%

The Lesson From Demand Response in Japan

Lee

2017

PIJSS

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Section: Methodsmentioning

confidence: 99%

The Lesson From Demand Response in Japan

Lee

2017

PIJSS

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“…In fact, most of the recent and relevant literature in demand response, namely review papers, still insist in the demand response opportunities and flexibility options that are more and more evident with the increase of technology that supports demand response by providing examples of practical evidence of DR implementations and identifying the most relevant barriers without referring to possible innovative approaches for aggregation and remuneration [6,27]. Most of the identified barriers are related to market structures and incentives regarding the incentivizing consumers to participate in DR programs [28].…”

Section: Related Literaturementioning

confidence: 99%

Reschedule of Distributed Energy Resources by an Aggregator for Market Participation

2018

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Demand response aggregators have been developed and implemented all through the world with more seen in Europe and the United States. The participation of aggregators in energy markets improves the access of small-size resources to these, which enables successful business cases for demand-side flexibility. The present paper proposes aggregator's assessment of the integration of distributed energy resources in energy markets, which provides an optimized reschedule. An aggregation and remuneration model is proposed by using the k-means and group tariff, respectively. The main objective is to identify the available options for the aggregator to define tariff groups for the implementation of demand response. After the first schedule, the distributed energy resources are aggregated into a given number of groups. For each of the new groups, a new tariff is computed and the resources are again scheduled according to the new group tariff. In this way, the impact of implementing the new tariffs is analyzed in order to support a more sustained decision to be taken by the aggregator. A 180-bus network in the case study accommodates 90 consumers, 116 distributed generators, and one supplier.

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“…The customers are expected to be more flexible in the future [62][63][64]. The capital costs of DERs, especially solar PV and electric storage are falling more rapidly [19,65].…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…To address the changing energy landscape, a The present energy landscape is changing [19,22,61]. The customers are expected to be more flexible in the future [62][63][64]. The capital costs of DERs, especially solar PV and electric storage are falling more rapidly [19,65].…”

Section: Sensitivity Analysismentioning

confidence: 99%

Local Alternative for Energy Supply: Performance Assessment of Integrated Community Energy Systems

et al. 2016

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Integrated community energy systems (ICESs) are emerging as a modern development to re-organize local energy systems allowing simultaneous integration of distributed energy resources (DERs) and engagement of local communities. Although local energy initiatives, such as ICESs are rapidly emerging due to community objectives, such as cost and emission reductions as well as resiliency, assessment and evaluation are still lacking on the value that these systems can provide both to the local communities as well as to the whole energy system. In this paper, we present a model-based framework to assess the value of ICESs for the local communities. The distributed energy resources-consumer adoption model (DER-CAM) based ICES model is used to assess the value of an ICES in the Netherlands. For the considered community size and local conditions, grid-connected ICESs are already beneficial to the alternative of solely being supplied from the grid both in terms of total energy costs and CO 2 emissions, whereas grid-defected systems, although performing very well in terms of CO 2 emission reduction, are still rather expensive.

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Time-based pricing and electricity demand response: Existing barriers and next steps

Cited by 225 publications

References 21 publications

The Lesson From Demand Response in Japan

The Lesson From Demand Response in Japan

Reschedule of Distributed Energy Resources by an Aggregator for Market Participation

Local Alternative for Energy Supply: Performance Assessment of Integrated Community Energy Systems

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