Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids

Author:

Saleem M.12ORCID,Shakir Mustafa1ORCID,Usman M.1,Bajwa M.3,Shabbir Noman4ORCID,Shams Ghahfarokhi Payam5ORCID,Daniel Kamran5ORCID

Affiliation:

1. Department of Electrical Engineering, Superior University, Lahore 54000, Pakistan

2. Department of Computer Science & Information Technology, Government College Women University, Sialkot 51310, Pakistan

3. Gujranwala Electric Power Company (GEPCO), Gujranwala 52250, Pakistan

4. FinEST Center for Smart Cities, 12616 Tallinn, Estonia

5. Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia

Abstract

The increasing price of and demand for energy have prompted several organizations to develop intelligent strategies for energy tracking, control, and conservation. Demand side management is a critical strategy for averting substantial supply disruptions and improving energy efficiency. A vital part of demand side management is a smart energy management system that can aid in cutting expenditures while still satisfying energy needs; produce customers’ energy consumption patterns; and react to energy-saving algorithms and directives. The Internet of Things is an emerging technology that can be employed to effectively manage energy usage in industrial, commercial, and residential sectors in the smart environment. This paper presents a smart energy management system for smart environments that integrates the Energy Controller and IoT middleware module for efficient demand side management. Each device is connected to an energy controller, which is the inculcation of numerous sensors and actuators with an IoT object, collects the data of energy consumption from each smart device through various time-slots that are designed to optimize the energy consumption of air conditioning systems based on ambient temperature conditions and operational dynamics of buildings and then communicate it to a centralized middleware module (cloud server) for management, processing, and further analysis. Since air conditioning systems contribute more than 50% of the electricity consumption in Pakistan, for validation of the proposed system, the air conditioning units have been taken as a proof of concept. The presented approach offers several advantages over traditional controllers by leveraging real-time monitoring, advanced algorithms, and user-friendly interfaces. The evaluation process involves comparing electricity consumption before and after the installation of the SEMS. The proposed system is tested and implemented in four buildings. The results demonstrate significant energy savings ranging from 15% to 49% and highlight the significant benefits of the system. The smart energy management system offers real-time monitoring, better control over the air conditioning systems, cost savings, environmental benefits, and longer equipment life. The ultimate goal is to provide a practical solution for reducing energy consumption in buildings, which can contribute to sustainable and efficient use of energy resources and goes beyond simpler controllers to address the specific needs of energy management in buildings.

Funder

Estonian Research Council

European Commission

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference65 articles.

1. Migrating from Traditional Grid to Smart Grid in Smart Cities Promoted in Developing Country;Sengan;Sustain. Energy Technol. Assess.,2021

2. IEA (2017). World Energy Outlook 2017, IEA. Flagship Report.

3. (2023, April 30). International Energy Agency Monthly Electricity Demand in Pakistan in FY 2019–2020 and Estimated for FY 2024–2025. Available online: https://www.iea.org/data-and-statistics/charts/monthly-electricity-demand-in-pakistan-in-fy-2019-2020-and-estimated-for-fy-2024-2025.

4. (2023, April 30). Overview of Pakistan: WorldBank. Available online: https://www.worldbank.org/en/country/pakistan/overview.

5. National Energy Scenario of Pakistan—Current Status, Future Alternatives, and Institutional Infrastructure: An Overview;Rafique;Renew. Sustain. Energy Rev.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3