On demand: Can demand response live up to expectations in managing electricity systems?

Parrish, Bryony; Gross, Rob; Heptonstall, Philip

doi:10.1016/j.erss.2018.11.018

Cited by 97 publications

(68 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The influence of non-monetary factors on customers' aggregate engagement with DSR has also been explored in previous studies. As suggested by Parrish et al (2019), consumers' engagement might be affected by enabling technologies, such as inhome displays, ownership of specific appliances, recruitment measure and level of commitment from the organisers of the scheme. For example, Hydro One's trial on TOU in Toronto, Canada, showed that customers with in-home displays reduced their energy use 1.8% more than those without displays (Hydro One 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Demand-side response (DSR), also known as demand response, from the end-use sectors is regarded as a promising, additional mechanism to balance the electricity system (Bradley et al 2013;Cappers et al 2012;Grünewald et al 2014;Strbac 2008;Strbac et al 2015). Both time-based and incentive-based DSR programmes (Parrish et al 2019) can contribute to system balancing by shifting or shedding loads to match with the electricity supply profile (Cappers et al 2012). However, as suggested by Cappers et al (2012), DSR programmes with time-based retail rates might have less potential as the granularity in the prices of these programmes is usually not sufficient to affect consumers' electricity consumption to reflect detailed system conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Time-based schemes, such as TOU, require consumers to adjust their energy consumption behaviour in response to pricing signals. The potential of the incentive-based schemes, such as DLC, heavily depends on consumers' acceptance of the interruptions to their daily routines (Cappers et al 2012;Parrish et al 2019). Consumers are cautious about losing control over appliances and comfort, and would thus prefer to have the right to override smart control of appliances (Fell et al 2015;Lopes et al 2016;Xu et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, it has also been noted that recruitment approach (opt-in and opt-out) influences consumers' willingness to engage in DSR schemes. A higher average response to various DSR schemes has been observed when consumers participated in DSR schemes on their own initiative (opt-in recruitment), in comparison to cases in which consumers were automatically enrolled in DSR schemes, with a possibility to opt-out (opt-out recruitment) (Parrish et al 2019). For example, Power System Engineering (2012) ran a critical peak pricing (CPP) pilot test on different consumer groups in the USA to investigate their responses to CPP rates.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating UK consumers’ heterogeneous engagement in demand-side response

Keppo

Xenitidou

et al. 2020

Energy Efficiency

View full text Add to dashboard Cite

Demand-side response (DSR), the incentivised time-shifting of energy use by consumers away from peak times, is regarded as a potentially effective measure to balance electricity supply and demand. This will be even more important in the low-carbon energy system of the future, with a high share of nondispatchable power, such as variable renewable energy and nuclear power. Most DSR programmes require consumers' active engagement in shifting end-use activities. Previous studies have, however, rarely revealed sociodemographic factors influential for consumers' willingness-to-shift specific end-use activities. This study thus aims to fill this research gap and, using a multinomial logistic model to analyse a nationwide survey, identify factors influential for DSR-related decisions. The nationwide survey for 1004 respondents was carried out to collect data about consumers' willingness-to-shift their daily activities. We focused on the activities that constitute the major part of domestic energy consumption, i.e. cooking, dish-washing, entertainment, heating, laundry and showering. According to the results, consumers' original timing of the end-use activities, sociodemographic factors, ownership of specific appliances and level of concern for energy-saving are influential for their willingness-to-shift activities. These findings can not only help policymakers make more targeted DSR promotion plans but also help to improve broader modelling tools to better consider consumers' willingness-to-shift their demand.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating UK consumers’ heterogeneous engagement in demand-side response

Keppo

Xenitidou

et al. 2020

Energy Efficiency

View full text Add to dashboard Cite

show abstract

“…(1) Demand response With the implementation of a new round of electricity reform policies in 2015, China's power market model has been improved continuously, and the role of the demand response in the competitive electricity market has been gradually recognized. We introduce a demand response in the power market competition through price signals and an incentive mechanism to achieve the goal of reducing the peak-to-valley difference in the electricity sector [43].…”

Section: Scenario Analysis Approachmentioning

confidence: 99%

Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China

Wang

2019

Energies

View full text Add to dashboard Cite

In China, electricity market reform was first implemented in 2015. At the same time, the national carbon market was built, along with the electricity industry, which was considered a breakthrough. Some key considerations for the future development of China's electricity system include the implementation of demand-side measures in order to adjust the peak-to-valley difference and the economic dispatch of increasing intermittent renewable energy and traditional energy in the process of power marketization with the implementation of a carbon policy. This paper examines the impact of policies on electricity generation by modelling the evolution process of power marketization and the economic dispatch of generation technologies over a sixteen-year period beginning in 2020. We model four potential influencing factors of government policy: (1) the demand response mode;(2) power marketization process; (3) capacity adjustment of thermal power units; and (4) carbon taxes, which vary in terms of their timing and amount. This model assesses the impact of these influencing factors on the competition between electricity generators using a range of output variables, including generation portfolios, electricity prices, capacity factors, CO 2 emissions, etc. The results show that the new round of electricity market reforms has had a positive impact on renewable energy generation. The influence of carbon policy is evident in the promotion, transformation and elimination of thermal units, and an indirect increase in renewable energy generation.Energies 2019, 12, 2152 4 of 26 is considered, and (4) the power sector pays the carbon cost of thermal power units under the implementation of the carbon market.An illustrative model structure of power generation economic analysis is presented in Figure 1, including the data input, model design scenarios, objective functions and model output. The data input requires data on the detailed composition of the power sector at the beginning of the planning horizon, predicted power demand, future installed capacity development plan, CO 2 prices, as well as the technological and fuel parameters, considered over the planning horizon. The modus of China's future electricity generation is divided into two parts, under electricity marketization, in this model: the first part is the "equal shares" dispatch generation for the planned electricity sector, whereby all types of power generation technologies comply with the "equal shares" electricity generation rules; the second part entails the "economic optimization" dispatch generation for the electricity market sector, which is under an economic optimization algorithm that selects the lowest-cost option for electricity generation. The output of the model can provide detailed information about the pathway of China's power sector under different policy scenarios over the planning horizon, including the power generation profiles, capacity factors of various power generation technologies, market price on an hourly basis, costs and revenues of various generatio...

show abstract

A Regression Model to Assess the Social Acceptance of Demand Response Programs

Ferreira

Rocha

Araújo

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

View full text Add to dashboard Cite

Residential demand response has been playing an important role in the low carbon energy system transition. Although this is not a new concept, the popularity of Demand Response (DR) programs is growing, driven by the increasing opportunities that emerged with smart grid appliances as well as by their potential to support the integration of variable renewables generation. The end-user plays a key role in the successful deployment and dissemination of these DR programs. This study aims to assess social awareness and acceptance of DR programs, based on a survey for data collection and complemented with the regression models. The results suggest that the economic determinants, contribution to environmental protection as well as the extent of urbanization are important motivating drivers, to be explored in the future to encourage the residential consumers' participation in DR programs.

show abstract

On demand: Can demand response live up to expectations in managing electricity systems?

Cited by 97 publications

References 34 publications

Investigating UK consumers’ heterogeneous engagement in demand-side response

Investigating UK consumers’ heterogeneous engagement in demand-side response

Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China

A Regression Model to Assess the Social Acceptance of Demand Response Programs

Contact Info

Product

Resources

About