2014•Unpublished venueRequires access

Load factor improvement in industrial sector using load duration curves

Jutatip Surai, Vichai Surapatana

Open publisher page 8 citations

Abstract

This paper presents an alternative technique for the analysis of variability of load components by using load duration curve. The user's activities and critical peak demand for short duration obtained from annual profile data are classified according to the frequency of electricity consumption. However, load factor of a plant depends on the control or clipping of a peak demand. Thus, the users need to identify electric device which may cause high impact on their bills. This technique enables us to solve a peak demand problem in a plant accurately. It can provide a better way for load factor improvement with the ease of application, accuracy in demand side management which decreases the peak demand in electrical system and high efficiency.

About this research paper

What this paper is about

This paper presents an alternative technique for the analysis of variability of load components by using load duration curve. The user's activities and critical peak demand for short duration obtained from annual profile data are classified according to the frequency of electricity consumption. However, load factor of a plant depends on the control or clipping of a peak demand. Thus, the users need to identify electric device which may cause high impact on their bills. This technique enables us to solve a peak demand problem in a plant accurately. It can provide a better way for load factor improvement with the ease of application, accuracy in demand side management which decreases the peak demand in electrical system and high efficiency.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents an alternative technique for the analysis of variability of load components by using load duration curve. The user's activities and critical peak demand for short duration obtained from annual profile data are classified according to the frequency of electricity consumption. However, load factor of a plant depends on the control or clipping of a peak demand. Thus, the users need to identify electric device which may cause high impact on their bills. This technique enables us to solve a peak demand problem in a plant accurately. It can provide a better way for load factor improvement with the ease of application, accuracy in demand side management which decreases the peak demand in electrical system and high efficiency.

Key concepts: Duration (music), Clipping (morphology), Load factor, Electricity, Load management, Demand side, Computer science, Electricity demand

Related papers

Back to paper searchBrowse research topicsOriginal source
Load factor improvement in industrial sector using load duration curves — Research Paper | ScholarLens