A Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations

Hannan, M. A.; Faisal, Mohammad; Ker, Pin Jern; Mun, Looe Hui; Parvin, Khadija; Mahlia, T.M.I.; Blaabjerg, Frede

doi:10.1109/access.2018.2852811

Cited by 216 publications

(102 citation statements)

References 133 publications

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“…Since the customer is empowered and plays a key role in smart grid, EMS at the distribution level can monitor control and optimize the local system performance. At the customer end, some of the commonly implemented EMS are SHEMS, 24,57 HEMS, 9,24,29,[57][58][59][60][61] BEMS, 15,[62][63][64][65][66] and plant energy management system (PEMS). 67 At the end users level, the ultimate role of EMS is to minimize energy usage by properly scheduling the devices in specified time horizons.…”

Section: Types Of Ems At the Distribution Levelmentioning

confidence: 99%

“…The paper reviewed the existing studies of EMS in microgrids and the existing decentralized optimization approaches. More review articles such as IoE‐based BEMS by Hannan et al, energy management in PEV by Martinez et al, energy savings by EMS by Lee and Cheng, and energy management strategies in hybrid renewable energy systems by Oltamiwa et al do not cover all the major aspects of EMS. Yousefi et al give a comprehensive analysis and comparison of different forecasting models PV, PEV, heat pump, and load demand.…”

Section: Introductionmentioning

confidence: 99%

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Energy management system for smart grid: An overview and key issues

2020

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Summary Energy crisis and the global impetus to “go green” have encouraged the integration of renewable energy resources, plug‐in electric vehicles, and energy storage systems to the grid. The presence of more than one energy source in the grid necessitates the need for an efficient energy management system to guide the flow of energy. Moreover, the variability and volatile nature of renewable energy sources, uncertainties associated with plug‐in electric vehicles, the electricity price, and the time‐varying load bring new challenges to the power engineers to achieve demand‐supply balance for stable operation of the power system. The energy management system can effectively coordinate the energy sharing/trading among all available energy resources, and supply loads economically in all the conditions for the reliable, secure, and efficient operation of the power system. This paper reviews the framework, objectives, architecture, benefits, and challenges of the energy management system with a comprehensive analysis of different stakeholders and participants involved in it. The review paper gives a critical analysis of the distributed energy resources behavior and different programs such as demand response, demand‐side management, and power quality management implemented in the energy management system. Different uncertainty quantification methods are also summarized. This review paper also presents a comparative and critical analysis of the main optimization techniques used to achieve different energy management system objectives while satisfying multiple constraints. Thus, the review offers numerous recommendations for research and development of the cutting‐edge optimized energy management system applicable for homes, buildings, industries, electric vehicles, and the whole community.

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Section: Types Of Ems At the Distribution Levelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy management system for smart grid: An overview and key issues

2020

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“…In addition to the above mentioned, many other cases have been studied on HVAC [18][19][20][21][22][23][24][25][26][27]. In the present paper, a model predictive control (MPC) method has been used for controlling temperature and humidity which was previously only introduced for controlling temperature in [28][29][30].…”

Section: Related Workmentioning

confidence: 99%

Modeling and Controlling of Temperature and Humidity in Building Heating, Ventilating, and Air Conditioning System Using Model Predictive Control

et al. 2019

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Nowadays, by huge improvements in industrial control and the necessity of efficient energy consumption for buildings, unified managing systems are established to monitor and control mechanical equipment and energy usage. One of the main portions of the building management system (BMS) is the cooling and heating equipment called heating and ventilation and air-conditioning (HVAC). Based on temperature slow dynamic and presented uncertainty in modeling, a model predictive control (MPC) strategy to track both temperature and humidity is proposed in this study. The main goal of this study is to provide a framework to describe temperature and humidity elements required for dynamic modeling. Following that, by utilizing a predictive approach, a control strategy is obtained, which optimizes the tracking error of two interactional channel and performs the effort control by minimizing the optimization index. Other articles have mostly only had control over the temperature variable, but in our article, we tried to study the equations of temperature and humidity as well as their interference and according to the ASHRAE standard, both temperature and humidity controls must be accurate. The humidity was the novelty in our article. Simulation results proved the effectiveness of the proposed approach compared to the conventional proportional-integral controller. Evidently, the key idea behind the control objective is providing the comfort condition while consuming the least possible energy.

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“…Conversely, the practical loads were not of any specific type, and the load growth of these loads concerning time was neither uniform nor did it follow the same pattern as earlier [30,31]. Considering several aspects, the authors in Reference [32] presented an extensive review on the energy internet for its smart management, and several issues were discussed, which include cost, reliability, scalability, data access, and weather as the prime factors for energy internet. However, the real behavior of people in the building was also presented for energy and cost-saving in Reference [33], whereas, in References [34][35][36][37][38], different criteria for the installation of various components were suggested.…”

Section: Introductionmentioning

confidence: 99%

Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management

et al. 2019

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With the ever-growing power demand, the energy efficiency in commercial and residential buildings is a matter of great concern. Also, strategic energy auditing (SEA) and demand-side management (DSM) are cost-effective means to identify the requirements of power components and their operation in the energy management system. In a commercial or residential building, the major components are light sources and heating, ventilation, and air conditioning. The number of these components to be installed depends upon the technical and environmental standards. In this scenario, energy auditing (EA) allows identifying the methods, scope, and time for energy management, and it helps the costumers to manage their energy consumption wisely to reduce electricity bills. In the literature, most of the traditional strategies employed specific system techniques and algorithms, whereas, in recent years, load shifting-based DSM techniques were used under different operating scenarios. Considering these facts, the energy data in a year were collected under three different seasonal changes, i.e., severe cold, moderate, and severe heat for the variation in load demand under different environmental conditions. In this work, the energy data under three conditions were averaged, and the DSM schemes were developed for the operation of power components before energy auditing and after energy auditing. Moreover, the performance of the proposed DSM techniques was compared with the practical results in both scenarios, and, from the results, it was observed that the energy consumption reduced significantly in the proposed DSM approach.

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A Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations

Cited by 216 publications

References 133 publications

Energy management system for smart grid: An overview and key issues

Energy management system for smart grid: An overview and key issues

Modeling and Controlling of Temperature and Humidity in Building Heating, Ventilating, and Air Conditioning System Using Model Predictive Control

Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management

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