Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services

Pedrasa, Michael Angelo A.; Spooner, Ted; MacGill, Iain

doi:10.1109/tsg.2010.2053053

Cited by 740 publications

(359 citation statements)

References 23 publications

Supporting

Mentioning

339

Contrasting

Unclassified

Order By: Relevance

“…This is due to the fact that RES are non-polluting and non-depletable whilst having low operation and maintenance costs, thus making them potential sources of alternative energy [1,2,3]. Currently, there are more than 30 million square meters of solar collectors installed around the world, making solar energy a popular and widely utilized form of renewable energy.…”

Section: Problem Statementmentioning

confidence: 99%

Optimal flow control of a forced circulation solar water heating system with energy storage units and connecting pipes

2016

View full text Add to dashboard Cite

Degree:Master of Engineering (Electrical Engineering)Keywords: Flat plate solar collector, flow rate optimization, maximum energy extraction, system thermal losses, thermal comfort.Solar water heating systems (SWHS) have fast become a suitable alternative to conventional water heating systems due to growing energy demands. A SWHS generally consists of a solar collector (which is used to convert solar radiation to heat), a water storage tank, and a flow control device such as a pump in the case of forced circulation SWHS. Extensive research and analysis on the operation and performance of these systems has been conducted, and results show that optimal flow control is an important factor that can be used to improve the performance and efficiency of SWHS.This study focuses on pump flow rate optimization for forced circulation SWHS with pipes.The system analyzed consists of an array of flat plate solar collectors, two storage tanks (one for the circulation fluid and one for the water), a heat exchanger, two pumps, and connecting pipes which are considered as one of the components of the SWHS so as to account for their thermal effects. The proposed model is developed using mainly the first and second laws of thermodynamics. The model is used to maximize the difference between the energy extracted from the solar collector and the combined sum of the energy extracted by the heat exchanger and corresponding energies used by the pumps in the primary and secondary loops. The objective function maximizes the overall system energy gain whilst minimizing the sum of the energy extracted by the heat exchanger and energy used by the corresponding pumps in the secondary loop to conserve the stored energy and meet the user requirement of water tank temperatures.The model is solved using the fmincon solver in MATLAB's optimization toolbox. When compared to other flow control techniques, in particular the most suitable energy efficient control strategy, the results of this study show a significant increase in the system's overall energy gain. The results also illustrate the effects of system pipe thermal losses for the different control strategies, hence highlighting the importance of developing a model that takes such losses into account so as to improve the overall accuracy of the model. Sonenergie-waterverwarmingstelsels (SWV) het vinnig 'n geskikte alternatief vir konvensionele waterverwarmingstelsels geword, weens die groeiende vraag na energie. 'n SWV bestaan gewoonlik uit 'n sonkollektor wat gebruik word om sonstraling om te skakel na hitte, 'n opgaartenk vir water, en 'n vloeibeheertoestel soos 'n pomp, in die geval van geforseerde sirkulasie SWV. Uitgebreide navorsing en ontleding op die werking en prestasie van hierdie stelsels is uitgevoer en die resultate toon dat die optimale vloeibeheer 'n belangrike faktor is wat gebruik kan word om die prestasie en doeltreffendheid van SWV verbeter. OPSOMMINGHierdie studie fokus op die optimering van die vloeitempo van 'n pomp vir geforseerde sirkulasie sonenergie-waterverwarmingste...

show abstract

Section: Problem Statementmentioning

confidence: 99%

Optimal flow control of a forced circulation solar water heating system with energy storage units and connecting pipes

2016

View full text Add to dashboard Cite

show abstract

“…In the method presented in [20], a residential customer can use the decision support tool implemented in [22] to optimize energy use through values assigned to the required energy services and the DER schedule to maximize the net benefit based on a CPSO algorithm presented as an enhancement to the decision support tool for energy optimization. The customer can acquire insight into the tariff arrangement by comparing the cost of the independent scheduling of DER to the cost of cooperative scheduling that avoids exports either in the case of no refunds or with peak demand charges.…”

Section: Heuristic Search Approachesmentioning

confidence: 99%

Smart Home Activities: A Literature Review

Al-Sumaiti

Ahmed

Salama

2014

Electric Power Components and Systems

155

View full text Add to dashboard Cite

“…The output of HEMS increases if the DES simultaneously coordinates with the appliances. The work done in [23] used an enhanced Particle Swarm Optimization (PSO) solver. Coordination scaling has been done in two cases when DES is scheduled independently and when DES is cooperates with each other.…”

Section: Decision Support Tool(dst)mentioning

confidence: 99%

A Compilation of various Home Energy Management Systems in Smart Grid Networks

Patel¹

2015

IJAREEIE

View full text Add to dashboard Cite

ABSTRACT:In recent years Home Energy Management (HEM) system, a Smart Grid (SG) technology has been widely used to reduce electric power consumption in home appliances. A significant amount of research has been conducted in order to make home energy consumption more efficient to control the power demand and supply. In this paper we present an organized review of various HEM schemes. The prime objective of HEM system includes energy saving, reduce Peak to Average Ratio (PAR), electricity consumption cost, peak demand and energy wastage. In this paper we discuss about, a.) Various pricing technique such as Real time Pricing (RTP), Time of Use (ToU), Critical Peak Pricing (CPP), b.) Various HEM schemes for Energy Management. The SG applications such as HEM, DES etc. leads toward efficient energy consumption. The results of these HEM program show how domestic electricity consumption became more efficient, reliable and smarter. This work presents the effect of smart grid development on social, economical and power sector. This paper reviews different research works on a wide range of energy management techniques for smart home aimed at reducing energy consumption and minimizing energy wastage.

show abstract

Coordinated Scheduling of Residential Distributed Energy Resources to Optimize Smart Home Energy Services

Cited by 740 publications

References 23 publications

Optimal flow control of a forced circulation solar water heating system with energy storage units and connecting pipes

Optimal flow control of a forced circulation solar water heating system with energy storage units and connecting pipes

Smart Home Activities: A Literature Review

A Compilation of various Home Energy Management Systems in Smart Grid Networks

Contact Info

Product

Resources

About