Energy Conservation and Load Shifting based DSM approach in the residential sector: applicability and impacts analysis in the case of developing countries

How we produce electricity and how we use it, it has become more important than ever to know this because of the current state of global warming. Alongside shifting electricity generation towards green energy, efficient energy usage and management are equally important. In this paper, we have studied the applicability and impacts of energy conservation and load shifting of a residential users over the current state of energy usage behavior. We have introduced a novel method of taking consumer data using excel and simulink to make a more realistic load profile of the consumer. An excel spreadsheet has been developed to take the user data as close as possible to the actual energy consumption of the user. A MATLAB simulink model of the user has been developed from the spreadsheet to replicate the 24 hour load profile of the user. We have found that at least 9% improvement in energy saving and 15% improvement in load shifting from peak electricity hour to off peak hours can be obtained. This study will be helpful in taking large number of consumer data to create load profile of the consumers for studying and implementing DSM. This study also clearly demonstrates that these DSM approaches can be highly effective to ensure efficient use and conservation of electricity in developing countries where the implementation of DSM is still in the very beginning phase.