Dynamic pricing by scalable energy management systems &amp;#x2014; Field experiences and simulation results using PowerMatcher

Kok, Koen; Roossien, B.; MacDougall, Pamela; Pruissen, Olaf van; Venekamp, Gerben; Kamphuis, René; Laarakkers, Joost; Warmer, C.J.

doi:10.1109/pesgm.2012.6345058

Cited by 100 publications

(80 citation statements)

References 5 publications

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“…Users then have a monetary incentive to move their electricity consumption to off-peak hours. Dynamic pricing is the key to utilising demand flexibility, and this mechanism has been used in various pilot projects, such as PowerMatcher [27] and Your Energy Moment [16] in the Netherlands, the EcoGrid EU demonstration in Denmark [19] and the Olympic Peninsula Project in the U.S. [28]. A study on the performance of all types of smart white good appliances under dynamic pricing demand response scheme was conducted in a Belgium pilot project, Linear [29] with 58 households participated.…”

Section: Introductionmentioning

confidence: 99%

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Dane

Finck

et al. 2017

Applied Energy

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h i g h l i g h t sAwareness of smart grids is the highest among respondents aged 20-29 years old. Willingness to use smart technologies and change energy behaviour are interdependent. Potential flexible building users were found to be 11% of the respondents. Building energy flexibility might play a crucial role in demand side management for integrating intermittent renewables into smart grids. The potential of building energy flexibility depends not only on the physical characteristics of a building but also on occupant behaviour in the building. Building users will have to adopt smart technologies and to change their daily energy use behaviours or routines, if energy flexibility is to be achieved. The willingness of users to make changes will determine how much demand flexibility can be achieved in buildings and whether energy flexible buildings can be realized. This will have a considerable impact on the transition to smart grids. This study is thus to assess the perception of smart grids and energy flexible buildings by building users, and their readiness for them on a large scale. We attempted to identify the key characteristics of the ideal user of flexible buildings. A questionnaire was designed and administered as an online survey in the Netherlands. The questionnaire consisted of questions about the sociodemographic characteristics of the current users, house type, household composition, current energy use behaviour, willingness to use smart technologies, and willingness to change energy use behaviour. The survey was completed by 835 respondents, of which 785 (94%) were considered to have provided a genuine response. Our analysis showed that the concept of smart grids is an unfamiliar one, as more than 60% of the respondents had never heard of smart grids. However, unfamiliarity with smart grids increased with age, and half of the respondents aged 20-29 years old were aware of the concept. Monetary incentives were identified as the biggest motivating factor for adoption of smart grid technologies. It was also found that people would be most in favour of acquiring smart dishwashers (65% of the respondents) and refrigerator/freezers (60%). Statistical analysis shows that people who are willing to use smart technologies are also willing to change their behaviour, and can thus be categorised as potentially flexible building users. Given certain assumptions, 11% of the respondents were found to be potentially flexible building users. To encourage people to be prepared for energy flexible buildings, awareness of smart grids will have to be increased, and the adoption of smart technologies may have to be promoted by providing incentives such as financial rewards. a r t i c l e i n f o

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Section: Introductionmentioning

confidence: 99%

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Dane

Finck

et al. 2017

Applied Energy

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“…PowerMatcher has been utilized as the DSM scheme for this work. PowerMatcher coordinates a cluster of electricity producing and consuming devices by creating a transactive energy market [19]. It exploits the capability of multi-agent system framework to implement scalable, distributed, complex and open Information and Communication Technology infrastructures.…”

Section: Web Of Cells Architecture and Demand Sidementioning

confidence: 99%

Demand side participation for frequency containment in the web of cells architecture

Syed

Burt

Kok³

et al. 2015

2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST)

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Abstract-A large number of demand side management schemes have been proposed in literature for provision of frequency control ancillary services to the network. However, it is assumed that all the flexible devices within the network are managed and controlled under one demand side management (DSM) scheme. In this paper, two independent demand side management schemes control the portfolio of flexible devices within a web of cells architecture. A methodology and scenarios for analysis of the performance of more than one DSM scheme within the same network have been realized using a real-time power hardware-in-the-loop co-simulation platform, and the paper presents this as a basis for investigations of such arrangements.Keywords-Ancillary services, demand side management, transactive energy markets and real-time power hardware-in-theloop simulation.

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“…Use cases with multi-goal optimization, addressing the interests of three stakeholders simultaneously, were investigated, involving the consumer, distribution system operator and the commercial aggregator (energy trader). The use case studied specifically investigated the feasibility of local peak load reduction, imbalance reduction as well as the most cost effective use of energy in-home [3]. Phase 2 of PowerMatching City saw the technical feasibility study expanded with innovative energy services, in order to investigate consumer preferences within the smart living lab.…”

Section: Project Goalsmentioning

confidence: 99%

Multi-goal optimization in PowerMatching city: A smart living lab

Wijbenga

MacDougall

Kamphuis

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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Abstract-Whereas other smart grid field trials optimize for a single objective, PowerMatching City phase 2 demonstrates that multiple objectives can be achieved in a coordinated virtual power plant. A system that incorporates both consumer community proposition incentives and trade dispatch incentives (as well as end-user comfort) was designed, implemented and tested. This paper describes the design approach and the main findings in this real life field trial. The multi-goal approach showed to be successful, as the individual goals were achievable by the cluster. To prevent a single goal from overpowering the other objective limitations and a flexibility-balancing component were implemented. Finding the optimal mix of balancing the components and utilizing the most of the flexibility requires additional research.

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Dynamic pricing by scalable energy management systems — Field experiences and simulation results using PowerMatcher

Cited by 100 publications

References 5 publications

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Demand side participation for frequency containment in the web of cells architecture

Multi-goal optimization in PowerMatching city: A smart living lab

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