Financial Benefit Analysis of an Electric Water Heater with Direct Load Control in Demand Response

The peak demand reduction during peak hour is a challenge to the retail energy providers. Demand response program plays a major role to fulfil this purpose. The small household appliances like electric water heater can participate in the demand response program by aggregating it in the smart building energy management system. This paper discusses demand response possibilities of a residential electric water heater, the overall consumption profile, temperature profile and the financial benefit in the consumer level. The direct load control demand response method in yearly timeframe is proposed and applied. Realtime electricity pricing with incentive-based demand response is considered and applied to the direct load control with financial benefit to the consumers. The study includes the difference between normal consumption and consumption after using DLC, normal temperature profile and temperature profiling after DLC. The results exhibit that there is significant energy consumption reduction in the consumer level without making any discomfort.The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); SIMOCE (ANI|P2020 17690); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.info:eu-repo/semantics/publishedVersio

Demonstration of Electric Water Heater DR Possibility with Financial Benefit Analysis

The household small electrical appliances can participate in demand response events to support the local electrical infrastructures. Demand response (DR) plays a major role by reducing peak load consumption and controlling distributed generations. This paper presents a demonstration of DR participation of a water heater with financial benefit analysis by using a convenience tool. It also discusses a residential water heater DR possibility by analyzing the obtained data. The smart grid concept with building energy management system, DR flexibility and financial benefits are also discussed here. The main framework of the task consists of electric water heater modeling with several parameters and planning for the DR participation. The overall model is also demonstrated here with the execution of the planned tasks. The results obtained by using this tool is also represented graphically for the demonstration in the paper. It shows that the proposed methodological analysis is financially beneficial for both consumers and aggregators.The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); SIMOCE (ANI|P2020 17690); and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT.info:eu-repo/semantics/publishedVersio

Electric Water Heater Modelling for Direct Load Control Demand Response

Home Energy Management System creates the scopes to small household electrical appliances users to participate in the demand response programs. Among several load controllable electrical household appliances water heater is more suitable. Integration of water heater is considered to manage the demand response events that can contribute to smart grid technology. This paper represents a thermodynamic load model for a water heater, which is considered as to be controlled through direct load control for demand response program. The daily electricity consumption and temperature profile of the heater is also considered, the direct load control method is activated to the heater as soon as the energy consumption reaches to 1 kW, with the effects the device is turned off for next one hour. In results, it gained a significant reduction in the electricity consumption for the users without making any discomfort as temperature does not reduce to disruption level. Real time electricity pricing is also compared which implied financial benefit to the consumers. The result exhibit that the method applied to this heater can contribute and participate in the demand response events.The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); SIMOCE (ANI|P2020 17690); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.info:eu-repo/semantics/publishedVersio

Electric Water Heater Modeling, DR Approaches Analysis and Study of Consumer Comfort for Demand Response

With the smart energy management system household residential appliances is able to participate in the demand response events. To reduce peak load demand and complexities in the local infrastructure DR can play an important role now a days. This paper presents a study and analysis of several papers on residential EWH DR modeling and implementation. It shows an overview of analysis of the most used and recent DR models for EWH. It also shows the analysis of the used methods to model this and the used approach in several papers. Additionally, the discussed consumer comforts and obtainable benefits in several papers by participating in DR events is also shown here. The study and analysis in this paper will contribute to the future research and encourage the end users to participate in households DR events.The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); SIMOCE (ANI|P2020 17690); and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT.info:eu-repo/semantics/publishedVersio

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets

Presents an overview and analysis of the possible approaches to bringing an active demand side into electricity markets. Part of a series of research reports that examines energy issues facing California

Saving energy, saving money : overview of demand-side management by South Carolina electric and natural gas utilities, 2010

Demand-side management is a strategy that electric and natural gas utilities employ to decrease or defer demand for their energy services. DSM in South Carolina hit a high-water mark in 2010 as an increasing number of utilities implemented measures to control peak energy demand and reduce the growth of overall energy demand. The following report is intended to inform utility customers, consumer advocates, state and local policymakers, and energy market professionals about the DSM programs implemented by South Carolina’s electric and natural gas utilities in 2010

Saving energy : 2015 : How South Carolina’s Electric and Natural Gas Utilities Are Using Demand-Side Management to Help Customers Reduce Their Energy Bills

Demand Side Management is a strategy that electric and natural gas utilities employ to decrease or defer demand for their energy services.This report is intended to summarize Demand Side Management activities deployed by South Carolina’s electric and natural gas utilities as reported in 2015 and to provide data regarding the purchase of power from qualifying facilities under the Public Utilities Regulatory Policies Act of 1978

Saving Energy, Saving Money : How South Carolina's Electric and Natural Gas Utilities Are Using Demand-Side Management to Help Customers Reduce Their Energy Bills

Demand-side management ("DSM") is a strategy that electric and natural gas utilities employ to decrease or defer demand for their energy services. South Carolina's three large investor-owned electric utilities (Duke Energy Carolinas, Progress Energy Carolinas, and South Carolina Electric & Gas Company) and state-owned Santee Cooper all offered a broad range of DSM programs in 2011

Changing demand: flexibility of energy practices in households with children (final report)

This report summarises the findings and recommendations from the ‘Changing Demand: Flexibility of energy practices in households with children’ research project funded by the Consumer Advocacy Panel. The project aimed to understand how households with children may be affected by electricity market reforms and demand management initiatives, such as cost-reflective pricing. The study involved 44 in-depth interviews, home tours and observations and a national survey with over 500 Australian households with children. Overview In households with children, many of the practices which use energy are coordinated and concentrated in the late afternoon and early evening on weekdays. Parents’ reliance on routine to manage the demands of family life limits the flexibility of energy use. With limited ability to shift practices to other times of the day, and priorities such as ‘doing what’s best for children’ and ‘using time efficiently’ taking precedence, households with children risk financial disadvantage under pricing strategies such as Time-of-Use (TOU) pricing. Financial insecurity is widespread in, but not limited to, low-income and sole parent households. Health concerns, thermally inefficient housing and appliances, housing tenure, safety and noise concerns, and widespread tariff confusion also restrict the capacity of households with children to manage energy use and costs. Many parents had little time, interest or trust to investigate tariff choice and available energy information. As such, increasing choice and complexity in electricity market offerings does not meet the needs of these households and TOU pricing is unlikely to achieve its aims with this household group. Family routines were more amenable to disruption on an occasional basis for non-financial reasons. For example, 85 per cent of survey respondents said they would reduce electricity use for a ‘peak alert’ in hot weather.  Acting for the ‘common good’ appealed to most parents, for example to prevent an electricity outage and/or be part of a community effort. Household activities considered inflexible for a hypothetical TOU tariff, such as home cooling, television and computer activities and cooking, were considered.  Recommendations from this study include reassessing the energy policy focus on price signals, tariff choice and information to address issues of household demand in Australia. Several alternatives are proposed such as peak alerts, and affordable access to public cooling during hot peak days.&nbsp