Nou Sovandara . Household Electricity Use Analysis and Forecasting: The case of Phnom Penh, Cambodia. Master's Degree(Energy Technology). King Mongkut's University Technology Thonburi. Library. : King Mongkut's University of Technology Thonburi, 2002.
Household Electricity Use Analysis and Forecasting: The case of Phnom Penh, Cambodia
Abstract:
The major electrical energy consumer in Cambodia is the residential sector and constitutes 54% of the overall electricity consumption requirements of Phnom Penh City.Electricity demand in Cambodia is concentrated in Phnom Penh, which accounts for 80% of the country's electricity consumption. In 200 1, total energy billed was 364.15 GWh or 13.70percent from the sale; in 2000 it was 320.28 GWh. At the same time 2001, the energy consumption was 196.80 GWh for residential sector, 66.00 GWh for commercial and servicesectors, 43.35 GWh for industrial sector, and 58.00 GWh for public sector. The residential sector in Phnom Penh is divided into three major household incomelevels, namely low income level, medium income level, and high income level. The household income level is a dominant factor of electricity demand in the residential sector, since the ratesof ownership of electric appliances vary by the income levels of household. According to the real data that were collected they show that the pattern of energyconsumption in each household is different based on the variety income level of household occupation and the type of private home; the households in high income level consumedhigher electricity to be 401 kWh1HWMonth or 71%; the average energy consumption for the households in medium and low income levels are 125 kWh/HWMonth or 22% and 42kWh/HH/Month or 7%, respectively. The end-use model will be developed to project the household electricity demand inthe residential sector in Phnom Penh by using the real data from fieldwork survey. The electricity demand projection for the residential sector of the base case of 5.5% GDP growth isprojected to grow from 263.68 GWh in 2002 to 51 1.75 GWh in 2012, which accounted for an annual growth rate 6.86%, while the electricity demand projection for the energy efficiencycase of 5.5% GDP growth is projected to grow from 263.68 GWh in 2002 to 490.29 GWh in 2012, accounting for an annual growth rate of 6.40%. Thus, the efficiency appliance programin the energy efficiency case has potential to reduce the electricity demand by 2 1.46 GWh, accounting for 4.38% of the total demand in the base case of 5.5% GDP growth.Therefore, the end-use models characterize the long-term structure of electricity consumption in homes under differing assumptions, scenarios, and policies. Due to the endusemodel being a flexible model that can support the change in both macro economic parameters such as Gross Domestic Product and energy intensity and end-use technicalparameters such as the device' s efficiency. From this study, the developed model (end-use model) could be a good sample modelfor energy demand forecasting in all sectors such as residential, commercial, industrial, and public sectors in Cambodia.
King Mongkut's University Technology Thonburi. Library