Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions

Soares, Ana; Gomes, Álvaro; Antunes, Carlos Henggeler

doi:10.1016/j.rser.2013.10.019

Cited by 105 publications

(42 citation statements)

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“…The shifting potential of the following specific appliances was considered: the laundry machine, the tumble dryer, the dishwasher, the electric water heater, the air conditioning system and electrical heaters (Soares et al, 2014c). Only the willingness to shift the laundry machine and the dishwasher could be analysed, since the other appliances had missing responses rates above 5%.…”

Section: Willingness To Shift Demand and Adapt Household Routinesmentioning

confidence: 99%

The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study

et al. 2016

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The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study AbstractThe transition to smart grids is an on-going process that may both shape and be shaped by end-users' energy behavioural adaptations. This study explores current and potential energy behavioural adaptations in Portugal during the smart grid transition process. A web-based survey was made to a representative sample of a specific segment of Portuguese residential end-users. The survey evaluated current energy behaviours and hypothetical future behaviours in a dynamic pricing scenario.Results show this population segment has a positive predisposition towards smart technologies and demand shifting, but it is less likely to accept load control and switch to the liberalised energy market.Factors influencing the behavioural potential are mostly related with market regulation, households' practices and usage behaviours, interference with the private domain, information and technical aspects, and social values. To facilitate behavioural adaptations several strategies are recommended, such as improving the energy market regulation, assessing households' behaviours, prioritising actions already embedded in households daily routines, not interfering with their activities and ensure an override option, and improving energy services, trust and information provided to end-users. The conclusions of the present study are of utmost importance for the design of more effective demand response programmes and energy policies.

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Section: Willingness To Shift Demand and Adapt Household Routinesmentioning

confidence: 99%

The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study

et al. 2016

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“…Although a variety of energy management systems for smart homes has been proposed [5][6][7][8][9][10][11][12][13], there are very few solutions that have considered a detailed energy management optimization problem that utilizes the energy cost savings and CO 2 emission reduction as objectives without inconveniencing the smart home residents. Furthermore, existing solutions are based on changing the living habits of users to reduce energy costs and CO 2 emissions by adjusting their demand according to time differentiated electricity pricing and making appropriate consumption scheduling decisions [14].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, existing systems do not consider demand side management and a DER system in a smart home environment as tools to significantly reduce electricity consumption and CO 2 emissions. Therefore, there is still room for novel energy management systems capable of reducing the energy bills for the smart building residents, as well as reducing environmental impacts [6]. The authors in [13] schedule deferrable appliances and energy resources in small buildings by using multi-time scale stochastic predictive control, the genetic algorithm and linear programming.…”

Section: Introductionmentioning

confidence: 99%

Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

et al. 2018

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Abstract:In this paper, we address the problem of minimizing the total daily energy cost in a smart residential building composed of multiple smart homes with the aim of reducing the cost of energy bills and the greenhouse gas emissions under different system constraints and user preferences. As the household appliances contribute significantly to the energy consumption of the smart houses, it is possible to decrease electricity cost in buildings by scheduling the operation of domestic appliances. In this paper, we propose an optimization model for jointly minimizing electricity costs and CO 2 emissions by considering consumer preferences in smart buildings that are equipped with distributed energy resources (DERs). Both controllable and uncontrollable tasks and DER operations are scheduled according to the real-time price of electricity and a peak demand charge to reduce the peak demand on the grid. We formulate the daily energy consumption scheduling problem in multiple smart homes from economic and environmental perspectives and exploit a mixed integer linear programming technique to solve it. We validated the proposed approach through extensive experimental analysis. The results of the experiment show that the proposed approach can decrease both CO 2 emissions and the daily energy cost.

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“…The industries in rapidly growing countries and changing habits of house consumption in extremely dense populations drive substantial increases in energy use. Residential and commercial power usage usually peaks around the early morning and the afternoon [1]. Besides, industrial power users need more energy for processing operations.…”

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confidence: 99%

Manufacturing of Al-Zr Thermal-resistant Alloys for Transmission Lines

2015

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The present transmission lines of populous cities will have to be changed with an ability to work at higher temperatures without any weight and cross section changes. Innovative thermal-resistant alloy conductors (T-ACSR) operate in the range of about 150200• C instead of 75 • C which is the standard ACSR type conductor service temperature. In this study, the manufacturing procedure of Al-Zr alloy wire, used as high-temperature conductor wires, have been introduced. The Al-Zr alloy has been cast in a permanent mold than being extruded to a diameter of 10 mm at 400• C. After that the extruded rods have been cold drawn to a diameter of 3.02 mm. Elongation and tensile strength values of the cold drawn wire have been achieved by tensile test at elevated temperatures. Also, microstructural analysis and dispersion hardening procedure have been investigated. The results show that tensile strength and thermal-resistant property are improved by the addition of Zr.

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Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions

Cited by 105 publications

References 50 publications

The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study

The potential of energy behaviours in a smart(er) grid: Policy implications from a Portuguese exploratory study

Scheduling Distributed Energy Resource Operation and Daily Power Consumption for a Smart Building to Optimize Economic and Environmental Parameters

Manufacturing of Al-Zr Thermal-resistant Alloys for Transmission Lines

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