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Analysing Load Demand in Households

Abaravicius, Juozas LU ; Pyrko, Jurek LU and Sernhed, Kerstin LU (2006) Energy Efficiency in Domestic Appliances and Lighting (EEDAL) In [Host publication title missing]
Abstract
The importance of load demand variation, when analysing energy and environmental impact of residential energy use, is increasing. Load demand in residential houses is a significant contributor to peak load problems experienced by utilities. The knowledge about demand variation in households is limited as well as the use of methodologies to analyse the demand is. Many utilities have recently installed interval (hourly) metering at their residential customers. The availability of this data is a big step forward, however, our experience show that the utilities use this data only to a limited extent, mostly for billing purposes only. This study aims to discuss the ways and benefits of using this valuable end-use data.

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The importance of load demand variation, when analysing energy and environmental impact of residential energy use, is increasing. Load demand in residential houses is a significant contributor to peak load problems experienced by utilities. The knowledge about demand variation in households is limited as well as the use of methodologies to analyse the demand is. Many utilities have recently installed interval (hourly) metering at their residential customers. The availability of this data is a big step forward, however, our experience show that the utilities use this data only to a limited extent, mostly for billing purposes only. This study aims to discuss the ways and benefits of using this valuable end-use data.

There are several established load analysis tools, such as load curve, typical load curve, load duration curve, load factor, superposition factor, etc., which utilities could apply and develop. Among other benefits, the hourly load data analysis can provide the detailed characteristics of load demand in households, define the consumption patterns and can help to identify the main contributors to the utility peaks. This information is essential when developing new energy services, appropriate pricing, load management strategies and demand response programs.

This paper analyses strengths and weaknesses of different analysis tools, the knowledge they could give, how applicable they are and what value they could have for the utility and the customer. The study is exemplified with ten “real world” cases in Southern Sweden, where the households with electric space heating and hot water systems are analysed. (Less)
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
typical load curve, load curve, energy use, peak load problems, load demand, superposition factor, residential houses, load duration curve, load factor
in
[Host publication title missing]
publisher
EEDAL Proceedings 2006
conference name
Energy Efficiency in Domestic Appliances and Lighting (EEDAL)
language
English
LU publication?
no
id
4a7c34bf-c993-4005-a2b1-ba01f3152c3c (old id 576495)
alternative location
http://mail.mtprog.com/CD_Layout/Day_2_22.06.06/1115-1300/ID2_Abaravicius_final.pdf
date added to LUP
2008-02-06 17:45:02
date last changed
2016-06-29 09:12:26
@inproceedings{4a7c34bf-c993-4005-a2b1-ba01f3152c3c,
  abstract     = {The importance of load demand variation, when analysing energy and environmental impact of residential energy use, is increasing. Load demand in residential houses is a significant contributor to peak load problems experienced by utilities. The knowledge about demand variation in households is limited as well as the use of methodologies to analyse the demand is. Many utilities have recently installed interval (hourly) metering at their residential customers. The availability of this data is a big step forward, however, our experience show that the utilities use this data only to a limited extent, mostly for billing purposes only. This study aims to discuss the ways and benefits of using this valuable end-use data.<br/><br>
There are several established load analysis tools, such as load curve, typical load curve, load duration curve, load factor, superposition factor, etc., which utilities could apply and develop. Among other benefits, the hourly load data analysis can provide the detailed characteristics of load demand in households, define the consumption patterns and can help to identify the main contributors to the utility peaks. This information is essential when developing new energy services, appropriate pricing, load management strategies and demand response programs. <br/><br>
This paper analyses strengths and weaknesses of different analysis tools, the knowledge they could give, how applicable they are and what value they could have for the utility and the customer. The study is exemplified with ten “real world” cases in Southern Sweden, where the households with electric space heating and hot water systems are analysed.},
  author       = {Abaravicius, Juozas and Pyrko, Jurek and Sernhed, Kerstin},
  booktitle    = {[Host publication title missing]},
  keyword      = {typical load curve,load curve,energy use,peak load problems,load demand,superposition factor,residential houses,load duration curve,load factor},
  language     = {eng},
  publisher    = {EEDAL Proceedings 2006},
  title        = {Analysing Load Demand in Households},
  year         = {2006},
}