Design and development of a demand side management system for buildings

• Main Author: Ku, Teerapat Kian Xiong
• Other Authors: So Ping Lam
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/140018
• Institution: Nanyang Technological University

An innovative strategy involving the development of renewable energy sources (RES), state-of-the-art connectivity technologies and Demand Side Management (DSM) are crucial to promote the potential shifts in technology and demand in a future energy market driven by green energy. The Building Energy Management System (BEMS) with DSM strategies is capable of optimal integration and preparation of various intelligent systems. This paper describes a DSM architecture that includes microgrid modelling, smart load measuring devices, fuzzy load controller, incorporating artificial neural network in load forecasting and, eventually, for reducing peak power demand and electricity costs. The feasibility of the proposed system is measured by a case study review, based on an average day in Singapore, an evaluation of the DSM possibilities and an assessment of both power and cost savings for the system established. After reviewing from the case study, it can be observed that 2.61 kWh of energy was transferred to non-peak periods, and up to a maximum daily power savings of 16.78%. was achieved For comparison, the average electricity cost per day for a single unit in a residential building without DSM was $16.49 and with DSM was $13.73. Lastly, in order to determine the power saving potential for the planned DSM architecture, a microgrid with a building consisting of 84 units was modelled with solar, diesel generator and conventional power supply. The highest probable load shedding, maximum shiftable load, total power loss due to appliances on standby and effective power savings had been measured with DSM as well as without DSM.