2018Unpublished venueRequires access

Scenario Analysis of Future Load Profile of Sri Lanka Considering Demand Side Management Initiatives

Akila E. Jayasinghe, K.R.S. Lankapriya, R. Valluvan, V. Cynthujah

Open publisher page 4 citations

Abstract

As a result of technology development, expansion of industries and improvement of living standards, the electricity demand increases rapidly. It is the responsibility of the utility to supply uninterrupted, reliable and good quality power to customers. Basically, it is the balancing of supply against the demand. Building new power plants to match the supply to increasing demand may not always be economically viable. The trend now is to control the demand with demand management initiatives. This study evaluates the reasons for changes in day peak and night peak in the electricity load profile, to study the feasibility of making the load profile smoother using Demand Side Management (DSM) initiatives. After analyzing several types of customer categories, it was identified that Chilled Water Storage (CWS) systems and Electrical Vehicles (EV) can make a significant change in the load curve. By constructing storage tanks to store chilled water during the off-peak tariff period, and using the stored chilled water to meet the peak-time cooling demand will reduce the demand at peak time. A mathematical model was developed for demand forecasting, incorporating DSM.

About this research paper

What this paper is about

As a result of technology development, expansion of industries and improvement of living standards, the electricity demand increases rapidly. It is the responsibility of the utility to supply uninterrupted, reliable and good quality power to customers. Basically, it is the balancing of supply against the demand. Building new power plants to match the supply to increasing demand may not always be economically viable. The trend now is to control the demand with demand management initiatives. This study evaluates the reasons for changes in day peak and night peak in the electricity load profile, to study the feasibility of making the load profile smoother using Demand Side Management (DSM) initiatives. After analyzing several types of customer categories, it was identified that Chilled Water Storage (CWS) systems and Electrical Vehicles (EV) can make a significant change in the load curve. By constructing storage tanks to store chilled water during the off-peak tariff period, and using the stored chilled water to meet the peak-time cooling demand will reduce the demand at peak time. A mathematical model was developed for demand forecasting, incorporating DSM.

Why it matters

OpenAlex reports 4 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

As a result of technology development, expansion of industries and improvement of living standards, the electricity demand increases rapidly. It is the responsibility of the utility to supply uninterrupted, reliable and good quality power to customers. Basically, it is the balancing of supply against the demand. Building new power plants to match the supply to increasing demand may not always be economically viable. The trend now is to control the demand with demand management initiatives. This study evaluates the reasons for changes in day peak and night peak in the electricity load profile, to study the feasibility of making the load profile smoother using Demand Side Management (DSM) initiatives. After analyzing several types of customer categories, it was identified that Chilled Water Storage (CWS) systems and Electrical Vehicles (EV) can make a significant change in the load curve. By constructing storage tanks to store chilled water during the off-peak tariff period, and using the stored chilled water to meet the peak-time cooling demand will reduce the demand at peak time. A mathematical model was developed for demand forecasting, incorporating DSM.

Key concepts: Tariff, Demand management, Load management, Peak demand, Electricity, Load profile, Environmental economics, Demand forecasting

Related papers

Back to paper searchBrowse research topicsOriginal source
Scenario Analysis of Future Load Profile of Sri Lanka Considering Demand Side Management Initiatives — Research Paper | ScholarLens