Modeling, Simulation and Optimization of Residential/Commercial Energy | Modeling, Simulation and Optimization of Residential and Commercial Energy Systems by using Matlab/Simulink - SimScape

Mohamed Bregaw

ISBN 10: 6139829372 / ISBN 13: 9786139829378

Published by LAP LAMBERT Academic Publishing, 2021

About this Item

Modeling, Simulation and Optimization of Residential/Commercial Energy | Modeling, Simulation and Optimization of Residential and Commercial Energy Systems by using Matlab/Simulink - SimScape | Mohamed Bregaw | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786139829378 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 119914438

Bibliographic Details

• Title: Modeling, Simulation and Optimization of Residential/Commercial Energy | Modeling, Simulation and Optimization of Residential and Commercial Energy Systems by using Matlab/Simulink - SimScape
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2021
• Language: English
• ISBN 10: 6139829372
• ISBN 13: 9786139829378
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 304 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A Residential Energy Management System (REMS) in smart grid can be defined as processes of control systems designed to control, measure, monitor, and modify energy demand and energy consumption profiles. (REMS) provides capability to manage a daily load curve in order to reduce power consumption and energy cost. Consequently, (REMS) offers significant benefits for both the electricity suppliers and consumers in terms of control and schedule time of use of major appliances in the residential and commercial sectors. In recent years, however, the rate of energy demand has increased rapidly throughout the world while the price of energy has been fluctuating. To find the solution for such problems, (REMS) establishes the optimal daily operation of home appliances. Numerous methods for (REMS) are used; this work analyzes many candidate scenarios during peak and off peak load periods comparing to the tariff of the residential sector to reduce the usage and its associated costs. It presents simulated results of proposed (REMS) to provide an automated least cost demand response.