Demand response resources: Who is responsible for implementation in a deregulated market?

Greening, Lorna A.

doi:10.1016/j.energy.2009.12.013

Cited by 105 publications

(51 citation statements)

References 32 publications

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“…In fact, policy issues are broadly discussed by governments throughout the world (Cappers et al, 2010;Walawalkar et al, 2010;Ming et al, 2013). Greening (2010), for example, suggests that state regulators will need to regulate through the development of incentive mechanisms. Possible incentives consist of fiscal, tax and price policies according to Ming et al (2013).…”

Section: Policy Implicationsmentioning

confidence: 99%

Measuring the financial impact of demand response for electricity retailers

Feuerriegel

Neumann

2014

Energy Policy

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Due to the integration of intermittent resources of power generation such as wind and solar, the amount of supplied electricity will exhibit unprecedented fluctuations. Electricity retailers can partially meet the challenge of matching demand and volatile supply by shifting power demand according to the fluctuating supply side. The necessary technology infrastructure such as Advanced Metering Infrastructures for this so-called Demand Response (DR) has advanced. However, little is known about the economic dimension and further effort is strongly needed to realistically quantify the financial impact. To succeed in this goal, we derive an optimization problem that minimizes procurement costs of an electricity retailer in order to control Demand Response usage. The evaluation with historic data shows that cost volatility can be reduced by 7.74 %; peak costs drop by 14.35 %; and expenditures of retailers can be significantly decreased by 3.52 %.

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Section: Policy Implicationsmentioning

confidence: 99%

Measuring the financial impact of demand response for electricity retailers

Feuerriegel

Neumann

2014

Energy Policy

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“…The central idea is to (partially) limit supply security by means of active, demand-side risk sharing to stabilise supply security in the long term. Note that such an approach may loosen the current barriers between grids and energy markets in unbundled markets (Greening, 2010).…”

Section: Policy Implicationsmentioning

confidence: 99%

Morphological analysis of energy services: Paving the way to quality differentiation in the power sector

et al. 2017

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This is the author's version of a work that was published in the following source:Salah, F.; Flath, C. M.; Schuller, A.; Weinhardt, C. (2017).Morphological analysis of energy services: Paving the way to quality differentiation in the power sector .Energy policy, 106, 614-624. doi:10.1016/j.enpol.2017.03.024 Please note: Copyright is owned by the author(s) and / or the publisher. The commercial use of this copy is not allowed. AbstractThe activation of the still predominantly passive demand side is necessary to further guarantee a stable power system in the short term and ensure capacity adequacy in the long run.A system with a high share of generators with nearly no marginal costs requires new services that facilitate transmitting the right economic signals to the system stakeholders. To this end we refine the notion of energy services and propose a framework to systematically design quality differentiated energy services for consumers. This approach facilitates a value-based economic assessment of energy services that deviates from the marginal-cost-paradigm. We further illustrate pricing options for these new energy service products and outline infrastructural needs and additional use case-specific product properties. Moreover, we discuss how the morphological approach can be formalised using a mathematical programming formulation and introduce a complexity measure that facilitates assessing potential adoption obstacles for end consumers. Additionally, we illustrate the practical applicability of these findings by using a prototypical implementation of a decision support system. To foster differentiated energy services, we recommend a more lenient regulatory regime lowering the barriers for new market entrants.

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“…Among other benefits, SGs would contribute to improve the quality of the service, as well as to promote the emergence of new business models, namely related to demand-side management and dynamic pricing of electricity (Bergaentzlé et al, 2014;Bergaentzlé and Clastres, 2013;Faruqui et al, 2014;Faruqui and Sergici, 2010;Greening, 2010). The control of non-technical energy losses (e.g.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Regulation on a Firm’s Incentives to Invest in Emergent Smart Grid Technologies

Costa¹,

Bento²,

Marques³

2017

The Energy Journal

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This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption face many uncertainties.

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Demand response resources: Who is responsible for implementation in a deregulated market?

Cited by 105 publications

References 32 publications

Measuring the financial impact of demand response for electricity retailers

Measuring the financial impact of demand response for electricity retailers

Morphological analysis of energy services: Paving the way to quality differentiation in the power sector

The Impact of Regulation on a Firm’s Incentives to Invest in Emergent Smart Grid Technologies

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