Nudging down household electricity usage during peak hours with small monetary rewards

2021 ◽  
pp. 0958305X2110256
Author(s):  
Miyoung Lee ◽  
Daehwan Kim
Keyword(s):  
Demand Response ◽  
Financial Incentive ◽  
Electricity Consumption ◽  
Long Span ◽  
Monetary Rewards ◽  
Repeated Calls ◽  
Demand Response Program ◽  
Reduce Electricity Consumption ◽  
One Year ◽  
The One

Two recent studies highlight the potential of a demand response (DR) program as a tool to manage peak-hour electricity consumption by households. Households in these studies respond to the offer of financial rewards or an appeal to the sense of civic duty and significantly reduce electricity consumption during declared peak hours. Due to the small number of peak events included in these studies, however, a question remains whether households will continue to respond to repeated calls to action over a long span of time. We analyze a demand response program of Gangwon Province, South Korea, called “Electricity Piggy Bank” where the incentive offered was in the form of small monetary reward together with an appeal to social consciousness. The program tracked the electricity usage of about 2,000 households over one-year period during which peak events were declared once a week. We find significant reduction in electricity usage during declared peak hours and, more importantly, no decay of effects over time. The magnitude of electricity savings during peak hours is no less than the one reported for the previous financial-incentive-based DR, suggesting that offering small monetary rewards together with pro-social stimuli can be a viable alternative to a financial-reward-oriented scheme.

The chiller’s electricity consumption simulation by considering the demand response program in power system

2019 ◽  
Vol 149 ◽  
pp. 1114-1124 ◽  
Author(s):  
Zehui Shao ◽  
Ehsan Gholamalizadeh ◽  
Albert Boghosian ◽  
Behnam Askarian ◽  
Zhenling Liu
Keyword(s):  
Power System ◽  
Demand Response ◽  
Electricity Consumption ◽  
Demand Response Program

An Intelligent Household Electricity Load Control Method Based on Demand Response

2015 ◽  
Vol 740 ◽  
pp. 307-310 ◽  
Author(s):  
Zhao Yang Qu ◽  
Tian Hang Zhang ◽  
Jia Yan ◽  
Shao Qing Xu
Keyword(s):  
Demand Response ◽  
Control Method ◽  
Electricity Consumption ◽  
Load Control ◽  
On Demand ◽  
Complex Functions ◽  
Reduce Electricity Consumption ◽  
Electricity Load ◽  
Smart House ◽  
Design Experiments

This paper presents a method for smart house electricity load control. The method, combined with TOU price and Real-time pricing, arranges various appliances and meets daily household electricity demand at the same time, so that to reduce the daily electricity consumption and realize Demand Response. First, this paper attempts to summarize problem witch need to be solved for realizing load control in a smart house. Second, the smart house load control problem was described as high-dimensional complex functions unconstrained optimization model and solved with Particle Swarm Optimization. Finally, design experiments used the method for a smart house. Experimental results show that the method can arrange various appliances and reduce electricity consumption.

scholarly journals Demand Response as a Real-Time, Physical Hedge for Retail Electricity Providers: The Electric Reliability Council of Texas Market Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 808
Author(s):  
Andrew Blohm ◽  
Jaden Crawford ◽  
Steven A. Gabriel
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Wholesale Price ◽  
Electricity Consumption ◽  
Behavioral Changes ◽  
Electricity Prices ◽  
Reduce Electricity Consumption ◽  
Grid Operators ◽  
Residential Demand

Residential demand response (DR) programs are generally administered through an electricity distribution utility, or an electric grid operator. These programs typically reduce electricity consumption by inducing behavioral changes in the occupants of participating households. We propose implementing a wholesale-price-sensitive residential DR program through the retail electricity provider (REP), who has more naturally aligned incentives to avoid high wholesale electricity prices and maintain customer satisfaction, as compared to distribution utilities, grid operators, and the average residential consumer. Retail electricity providers who serve residential consumers are exposed to substantial price risk as they generally have a portion of their portfolio exposed to variable real-time wholesale electricity prices, despite charging their residential customers a fixed retail electricity price. Using Monte Carlo simulations, we demonstrate that demand response, executed through internet-connected thermostats, to shift real-time residential HVAC load in response to real-time prices, can be used as an effective physical hedge, which is both less costly and more effective than relying solely on financial hedging mechanisms. We find that on average a REP can avoid USD 62.07 annually per household using a load-shifting program. Given that REPs operate in a low margin industry, an annual avoided cost of this magnitude is not trivial.

scholarly journals Justification of the Utility of Introducing Smart Meters in Latvia

2015 ◽  
Vol 52 (6) ◽  
pp. 13-21 ◽  
Author(s):  
M. Kunickis ◽  
A. Dandens ◽  
U. Bariss
Keyword(s):  
Demand Response ◽  
Information Exchange ◽  
Electricity Consumption ◽  
Economic Benefits ◽  
Smart Meters ◽  
Automatic Data ◽  
Load Variations ◽  
Reduce Electricity Consumption ◽  
Massive Scale ◽  
Smart Technologies

Abstract Automatic data reading from smart meters is being developed in many parts of the world, including Latvia. The key drivers for that are developments of smart technologies and economic benefits for consumers. Deployment of smart meters could be launched in a massive scale. Several pilot projects were implemented to verify the feasibility of smart meters for individual consumer groups. Preliminary calculations indicate that installation of smart meters for approximately 23 % of electricity consumers would be economically viable. Currently, the data for the last two years is available for an in-depth mathematical analysis. The continuous analysis of consumption data would be established, when more measurements from smart meters are available. The extent of introduction of smart meters should be specified during this process in order to gain the maximum benefit for the whole society (consumers, grid companies, state authorities), because there are still many uncertain and variable factors. For example, it is necessary to consider statistical load variations by hour, dependence of electricity consumption on temperature fluctuations, consumer behaviour and demand response to market signals to reduce electricity consumption in the short and long term, consumer’s ambitions and capability to install home automation for regulation of electricity consumption. To develop the demand response, it is necessary to analyse the whole array of additional factors, such as expected cost reduction of smart meters, possible extension of their functionality, further development of information exchange systems, as well as standard requirements and different political and regulatory decisions regarding the reduction of electricity consumption and energy efficiency.

scholarly journals Demand Response Programs Management in an Energy Community with Diversity of Appliances

2021 ◽  
Vol 239 ◽  
pp. 00023
Author(s):  
Rúben Barreto ◽  
Pedro Faria ◽  
Zita Vale
Keyword(s):  
Demand Response ◽  
Electricity Consumption ◽  
Primary Objective ◽  
Demand Response Program ◽  
Energy Community ◽  
Demand Response Programs ◽  
The Given ◽  
Peak Set

This paper shows the behaviour of a Demand Response program designed to be implemented in Energy Communities, where they take advantage of photovoltaic production. The primary objective is to manage both photovoltaic overproduction and village consumption efficiently. The DR program focuses on looking for consecutive periods that exceed a target peak set by the aggregator after analysing the consumption of the given energy community. The case study includes three villages, where participants are expected to be members of a community. The results are that participants will see a reduction in costs and electricity consumption.

scholarly journals Optimizing the time of use tariff with different scenarios of load management

2018 ◽  
Vol 20 (K7) ◽  
pp. 15-20
Author(s):  
Binh Thi Thanh Phan ◽  
Qui Minh Le ◽  
Cuong Viet Vo
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Electricity Consumption ◽  
Pso Algorithm ◽  
Load Management ◽  
Load Reduction ◽  
Load Curve ◽  
Demand Response Program ◽  
Unit Of Measurement ◽  
Effective Instrument

Demand Response program is applied in many countries as an effective instrument to regulate the electricity consumption. In this program, time of use (TOU) tariff is used widely. Optimal TOU pricing according to different objectives was mentioned in this paper such as peak load reduction, improving load curve, energy conservation, avoiding a new peak load. This is a problem with multiobjective functions in different unit of measurement and is solved by PSO algorithm. An example to find optimal TOU tariff for one utility is also presented in this paper.

Resources: Internet Resources for the Independent Medical Evaluator – 2007

2007 ◽  
Vol 12 (4) ◽  
pp. 4-7
Author(s):  
Christopher R. Brigham ◽  
Jenny Walker
Keyword(s):  
Head Trauma ◽  
Clonic Seizure ◽  
Acute Subdural Hematoma ◽  
Orbital Fracture ◽  
Orbital Wall ◽  
First Occurrence ◽  
One Year ◽  
The One ◽  
Neurological Injuries ◽  
Medial Orbital Wall

Abstract Rating patients with head trauma and multiple neurological injuries can be challenging. The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fifth Edition, Section 13.2, Criteria for Rating Impairment Due to Central Nervous System Disorders, outlines the process to rate impairment due to head trauma. This article summarizes the case of a 57-year-old male security guard who presents with headache, decreased sensation on the left cheek, loss of sense of smell, and problems with memory, among other symptoms. One year ago the patient was assaulted while on the job: his Glasgow Coma Score was 14; he had left periorbital ecchymosis and a 2.5 cm laceration over the left eyelid; a small right temporoparietal acute subdural hematoma; left inferior and medial orbital wall fractures; and, four hours after admission to the hospital, he experienced a generalized tonic-clonic seizure. This patient's impairment must include the following components: single seizure, orbital fracture, infraorbital neuropathy, anosmia, headache, and memory complaints. The article shows how the ratable impairments are combined using the Combining Impairment Ratings section. Because this patient has not experienced any seizures since the first occurrence, according to the AMA Guides he is not experiencing the “episodic neurological impairments” required for disability. Complex cases such as the one presented here highlight the need to use the criteria and estimates that are located in several sections of the AMA Guides.

Catheter-directed foam sclerotherapy treatment of saphenous vein incompetence

VASA ◽  
2012 ◽  
Vol 41 (2) ◽  
pp. 120-124 ◽  
Author(s):  
Asciutto ◽  
Lindblad
Keyword(s):  
Saphenous Vein ◽  
Short Term ◽  
Foam Sclerotherapy ◽  
Results Of Treatment ◽  
Ulcer Healing Rate ◽  
Complete Obliteration ◽  
Ceap Classification ◽  
One Year ◽  
The One

Background: The aim of this study is to report the short-term results of catheter-directed foam sclerotherapy (CDFS) in the treatment of axial saphenous vein incompetence. Patients and methods: Data of all patients undergoing CDFS for symptomatic primary incompetence of the great or small saphenous vein were prospectively collected. Treatment results in terms of occlusion rate and patients’ grade of satisfaction were analysed. All successfully treated patients underwent clinical and duplex follow-up examinations one year postoperatively. Results: Between September 2006 and September 2010, 357 limbs (337 patients) were treated with CDFS at our institution. Based on the CEAP classification, 64 were allocated to clinical class C3 , 128 to class C4, 102 to class C5 and 63 to class C6. Of the 188 patients who completed the one year follow up examination, 67 % had a complete and 14 % a near complete obliteration of the treated vessel. An ulcer-healing rate of 54 % was detected. 92 % of the patients were satisfied with the results of treatment. We registered six cases of thrombophlebitis and two cases of venous thromboembolism, all requiring treatment. Conclusions: The short-term results of CDFS in patients with axial vein incompetence are acceptable in terms of occlusion and complications rates.

Regional household poverty and mobility analysis – a transition probability approach

2020 ◽  
Vol 63 (3) ◽  
pp. 286-302
Author(s):  
Damian Mowczan ◽  
Keyword(s):  
Transition Probability ◽  
General Level ◽  
Transition Matrices ◽  
Equivalent Unit ◽  
Central Statistical ◽  
Per Capita ◽  
Probability Matrices ◽  
General Mobility ◽  
One Year ◽  
The One

The main objective of this paper was to estimate and analyse transition-probability matrices for all 16 of Poland’s NUTS-2 level regions (voivodeship level). The analysis is conducted in terms of the transitions among six expenditure classes (per capita and per equivalent unit), focusing on poverty classes. The period of analysis was two years: 2015 and 2016. The basic aim was to identify both those regions in which the probability of staying in poverty was the highest and the general level of mobility among expenditure classes. The study uses a two-year panel sub-sample of unidentified unit data from the Central Statistical Office (CSO), specifically the data concerning household budget surveys. To account for differences in household size and demographic structure, the study used expenditures per capita and expenditures per equivalent unit simultaneously. To estimate the elements of the transition matrices, a classic maximum-likelihood estimator was used. The analysis used Shorrocks’ and Bartholomew’s mobility indices to assess the general mobility level and the Gini index to assess the inequality level. The results show that the one-year probability of staying in the same poverty class varies among regions and is lower for expenditures per equivalent units. The highest probabilities were identified in Podkarpackie (expenditures per capita) and Opolskie (expenditures per equivalent unit), and the lowest probabilities in Kujawsko-Pomorskie (expenditures per capita) and Małopolskie (expenditures per equivalent unit). The highest level of general mobility was noted in Małopolskie, for both categories of expenditures.

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