Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/221731
Title: GRID LEVEL ELECTRICAL ENERGY STORAGE FOR SINGAPORE �S FUTURE POWER NEEDS
Authors: SHEN SHENG HUI
Keywords: Building
PFM
Project and Facilities Management
Tan Eng Khiam
2013/2014 PFM
Electrical Energy Storage
Singapore
Issue Date: 10-Jul-2014
Citation: SHEN SHENG HUI (2014-07-10). GRID LEVEL ELECTRICAL ENERGY STORAGE FOR SINGAPORE �S FUTURE POWER NEEDS. ScholarBank@NUS Repository.
Abstract: Solar Photovoltaic (PV) panel uptake is positioned to rise in Singapore amidst falling PV panel prices. Across the world, many countries have already been strongly encouraging mass-market adoption through subsidies and Feed-In Tariff (FiT) Schemes. The Singapore government, however, has been cautious in embracing this form of renewable energy, preferring to adopt a research-first approach before encouraging mass-market adoption. This approach has been helpful thus far, preventing Singapore from suffering from the ill effects of intermittent renewable energy sources as seen in many places, such as Germany and Japan. However, the solar future realising in Singapore is only a matter of time. It has already been projected that, by 2030, Singapore can potentially have 65km2 worth of solar PV panels installed. Therefore, in view of that future, this paper joins in the effort to both study the effects of intermittent solar PV electrical inputs can have to the grid and to recommend the adoption of electrical energy storage systems and/or technologies as one of the mechanisms to prepare Singapore’s grid for the future. This paper finds that Singapore’s current grid infrastructure is able to meet the ramping needs that will come with the potential solar PV installations by 2030. However, there will still be potential issues on the resulting quality and reliability of electricity supplied to highly sensitive industries, such as high-tech semi-conductor industries, such as wafer fabrication plants. For this purpose, this paper finds that grid level lithium ion batteries will be the best fit.
URI: https://scholarbank.nus.edu.sg/handle/10635/221731
Appears in Collections:Bachelor's Theses

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