Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction

Finn, P.; O'Connell, M.; Fitzpatrick, Colin

doi:10.1016/j.apenergy.2012.07.004

Cited by 108 publications

(52 citation statements)

References 9 publications

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“…We discussed that the actual savings that can be achieved by shifting washing machine loads are minimal, but that there is potential of applying the approach to other devices. There seems to be widespread agreement that beside the washing machine, there are a number of other appliances that are likely to be shiftable, including dishwashers, dryers and heating devices [3,9,12] but also new devices such as Electric Vehicles [11]. Our future work will focus on demand shifting when scaling to multiple appliances.…”

Section: Multiple Appliances and Future Workmentioning

confidence: 99%

Conversations with my washing machine

Bourgeois

Linden

Kortuem

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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Domestic microgeneration is the onsite generation of lowand zero-carbon heat and electricity by private households to meet their own needs. In this paper we explore how an everyday household routine -that of doing laundry -can be augmented by digital technologies to help households with photovoltaic solar energy generation to make better use of self-generated energy. This paper presents an 8-month inthe-wild study that involved 18 UK households in longitudinal energy data collection, prototype deployment and participatory data analysis. Through a series of technology interventions mixing energy feedback, proactive suggestions and direct control the study uncovered opportunities, potential rewards and barriers for families to shift energy consuming household activities and highlights how digital technology can act as mediator between household laundry routines and energy demand-shifting behaviors. Finally, the study provides insights into how a "smart" energy-aware washing machine shapes organization of domestic life and how people "communicate" with their washing machine.

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Section: Multiple Appliances and Future Workmentioning

confidence: 99%

Conversations with my washing machine

Bourgeois

Linden

Kortuem

et al. 2014

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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“…The incapability of the mentioned renewable energy sources for upregulation may cause possible deficiencies and failures in energy supply and distribution systems. Optimisation of the domestic energy demand offers a possibility of reducing the impact of load variations and intermittent generation [20,21].…”

Section: Demand Optimisationmentioning

confidence: 99%

Application-oriented modelling of domestic energy demand

Gruber

Jahromizadeh

Prodanović

et al. 2014

International Journal of Electrical Power & Energy Systems

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractDetailed residential energy consumption data can be used to offer advanced services and provide new business opportunities to all participants in the energy supply chain, including utilities, distributors and customers. The increasing interest in the residential consumption data is behind the roll-out of smart meters in large areas and led to intensified research efforts in new data acquisition technologies for the energy sector. This paper introduces a novel model for generation of residential energy consumption profiles based on the energy demand contribution of each household appliance and calculated by using a probabilistic approach. The model takes into consideration a wide range of household appliances and its modular structure provides a high degree of flexibility. Residential consumption data generated by the proposed model are suitable for development of new services and applications such as residential real-time pricing schemes or tools for energy demand prediction. To demonstrate the main features of the model, an individual household consumption was created and the effects of a possible change in the user behaviour and the appliance configuration presented. In order to show the flexibility offered in creation of the aggregated demand, the detailed simulation results of an energy demand management algorithm applied to an aggregated user group are used.

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“…For the lowest forecast variant [16] recommends prior reduction of the recorded values to the same weather conditions. The final forecast range can then be determined in Step 3 by superpositioning the annual peak load growth modeled with a slower saturation, according to (1), and the two variants of the ''slowdown'' effects, determined in…”

Section: Forecasting Annual Peak Loads Using Dr/dsm Programmentioning

confidence: 99%

“…Beside peak load reduction, DR and DSM can play the role of energy storage, improving the system balancing options. Reference [1] investigates the potential for DSM to limit the requirement for curtailment and further facilitate the integration of renewable energy by shifting the timing of electrical demand in response to various signals including pricing and wind availability. Furthermore, secondary benefits such as peak-time demand reductions are considered in [1].…”

Section: Introductionmentioning

confidence: 99%

Long-term forecasting of annual peak load considering effects of demand-side programs

Rajaković

Shiljkut

2017

J. Mod. Power Syst. Clean Energy

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The main purpose of this research paper is to investigate the long-term effects of the proposed demandside program, and its impact on annual peak load forecasting important for strategic network planning. The program comprises a particular set of demand-side measures aimed at reducing the annual peak load. The paper also presents the program simulations for the case study of the Electricity Distribution Company of Belgrade (EDB). According to the methodology used, the first step is to determine the available controllable load of the distribution utility/area under consideration. The controllable load is presumed constant over the analyzed time horizon, and the smart grid (SG) infrastructure available. The saturation of positive effects during intense program application is also taken into account. Technical and economic input data are taken from the real projects. The conducted calculations indicate that demand-side programs can bring about the same results as the energy storage in the grids with a strong impact of distributed generation from variable renewable sources (V-RES). In conclusion, the proposed demand-side program is a good alternative to building new power facilities, which can postpone investment costs for a considerable period of time.

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Demand side management of a domestic dishwasher: Wind energy gains, financial savings and peak-time load reduction

Cited by 108 publications

References 9 publications

Conversations with my washing machine

Conversations with my washing machine

Application-oriented modelling of domestic energy demand

Long-term forecasting of annual peak load considering effects of demand-side programs

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