Authors : Adamson Lyson Thengolose and Baizhan Li
Abstract: Electricity consumption data profiles that include details on the consumption can be generated with end-use models. The load components that can be buildings or appliances can be used to construct the load profiles. In this research, module 2 of MAED has been used to generate electricity consumption data on hourly basis in the service sector of the Malawi economy. The electricity system peak demand has also been generated by including projections of shares in total consumptions from other sectors of the national economy. The model uses input half-hourly data from ESCOM for 2008 as base year. The load curves show that the load pattern in service sector is high between 06:00 and 18:00 h and is low in the evening. This is because most of the public services are closed down during night time. It is also shown that the share of service sector load decreases from 15% in 2008 to 7% in 2025. Consequently the share for service in total consumption is projected to decrease from 22% in 2008 to 11% in 2030 for both business-as-usual and moderate growth scenarios while in the accelerated scenario the share decreases to 12%.
Adamson Lyson Thengolose and Baizhan Li, 2012. A Bottom-Up Model for Generating Electricity Load Profiles for the Malawi Service Sector. Environmental Research Journal, 6: 347-352.