A cost benefit analysis of electrical energy storage system for commercial buildings in Malaysia : a case study

Ibrahim, Muhammad Yazid (2021) A cost benefit analysis of electrical energy storage system for commercial buildings in Malaysia : a case study. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) A cost benefit analysis of electrical energy storage system for commercial buildings in Malaysia, a case study.pdf - Submitted Version Download (457kB)
	Text (Full Text) A cost benefit analysis of electrical energy storage system for commercial buildings in Malaysia, a case study.pdf - Submitted Version Restricted to Repository staff only Download (1MB)

Abstract

Intensive research has been made due to the rapid draining of the conventional energy sources. Due to high energy demand, new technology is being studied which can be more efficient and eco-friendly system. One of the technologies that are being studied is renewable energy sector which is power system using solar photovoltaic (PV). The penetration rate of solar PV system depends on sunlight and weather condition. With the increase of the penetration rate, it helps to reduces the greenhouse gases and also expand the reliability of the infrastructure. Solar PV technology can help in reducing the maximum demand (MD). However, there are some factors such as the environmental elements such as weather condition, irradiation and the temperature affecting the solar PV output power. It is expected that battery energy storage system combined with the solar PV system in commercial building and industries used as solution for peak shaving and shifting. The purpose of this project is to analyse the cost and benefit of installing electrical energy storage system into a commercial building in Malaysia. As known, electrical energy storage can reduce the cost of electricity by applying the optimum sizing of energy storage in commercial building. In this project, the optimal size of energy storage is determined. Firstly, dispatch strategy for energy storage is modelled using an analytical method. Secondly, the efficiency of the dispatch strategy in terms of its ability in reducing peak demand and reverse power flow is evaluated. Lastly, the optimal size of energy storage is identified using genetic algorithm (GA). With the help of the methods developed, energy storage designs can be optimized according to practical applications for any solar PV application with the necessary changes. Finally, the results show that the proposed optimization strategy will reduce electricity bills and assess the optimal size of solar PV energy storage

Actions (login required)

View Item