Smart energy management systems: a literature review

Loganathan, N.; Mayurappriyan, P. S.; Lakshmi, K.

doi:10.1051/matecconf/201822501016

Cited by 15 publications

(3 citation statements)

References 15 publications

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“…In this work, a brief description of the literature was described in the Introduction section, and in order to comply with the page limit, a comprehensive literature review including sustainable marketing strategies [3,4,5,6], intelligent energy systems [7,8,9,10], hydrogen energy [2,11,12,13,14] and the role of hydrogen in the future energy hub [15] will be presented in detail in the extended version of this paper.…”

Section: Energy Proceedingsmentioning

confidence: 99%

A Hydrogen-driven Sustainable Marketing Strategy for Future Energy Hubs

Ramezani,

Mollaahmadi,

Safari

2024

Preprint

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The purpose of this research is to determine sustainable marketing strategies for the future Norwegian energy hub, specifically emphasizing hydrogen energy. It offers a strategic plan for stakeholders in hydrogen-based energy sector, analyzing the capabilities and limitations under the field of strengths and weaknesses, and opportunities and threats (SWOT) in a macro and strategic way. The study employs SWOT and quantitative strategic planning matrix (QSPM) methods to assess all the alternative strategies. Also, at the end, an aggressive macro strategy for the use of hydrogen in the energy sector is formulated as the result of the research. The current research can be also a guide and a suitable model in formulating sustainable energy marketing strategies for Qatar as another country with huge natural gas resources, which at the same time supports sustainable development.

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Section: Energy Proceedingsmentioning

confidence: 99%

A Hydrogen-driven Sustainable Marketing Strategy for Future Energy Hubs

Ramezani,

Mollaahmadi,

Safari

2024

Preprint

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“…When modelling these systems, a typical model consists of a power source (such as solar PV), energy consumption data of appliances, flexible load (for example electric vehicles and water heaters), objective functions for the system, constraints, and a scheduling algorithm for the system, as shown in Figure 1 [2,6,10,11]. The scheduling algorithm uses the electricity consumption from appliances and flexible load and electricity production from power resources to create a schedule that would fulfil the objectives of the system within the given constraints [12,13].…”

Section: Need For a New Modelling Approachmentioning

confidence: 99%

A Novel Generalised Model for Residential Energy Management System

Jean-Paul¹,

Lie²,

Anderson³

et al. 2022

Highlights Sustain.

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Disaggregated data is often used to model the cost-benefit of residential energy management systems. However, obtaining such data is time-intensive and monetarily expensive. This hinders the depth of analysis that can be done on these systems and negatively influences their large-scale uptake. This study proposes a novel generalised model of these systems that uses smart meter load profile data to model their cost-benefit. Using two years of half-hourly electricity consumption data from 5379 households in London, the model was used to examine how sociodemographic, tariff structures, and the choice of operational objectives of these systems, interact to influence their cost-benefit. The results showed that the proposed model produced reliable cost-benefit results within what is normally obtained in literature. The model demonstrated that applying one set of objectives to different customers leads to an inequitable distribution in benefits; rather, an optimal set of objectives for a given customer under a specific tariff structure can be found to produce a more equitable distribution in benefits across all customers. The proposed model is replicable and uses data that can be obtained easily and cheaply from smart meters, making it versatile for large-scale cost-benefit analysis by any electricity retailer.

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“…The FLC improves battery life and also will achieve desirable SoC.An FLC based EMS grid integrated MG is adopted and to mitigate power quality issues under nonlinear, unbalanced load conditions. To improve power quality THD is key factor and THD can be reduced by adopting proposed system [10]. The proposed model is implemented by using MATLAB/SIMULINK.…”

mentioning

confidence: 99%

Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-Grid using Fuzzy Logic Controller

Eluri

Naik

2022

IJEER

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A modern hybrid model is introduced, which is a combination of PV, Wind turbine, converter components to improve Microgrid (MG) operation, to improve system dependability, effective efficiency, which are fundamental qualities. In view of renewable energy Maximum Power Point Tracking (MPPT) is frequently applied to improve PV efficiency in which randomness, flexibility of solar energy because of changes in temperature. To achieve MPPT P&O rule, Incremental conductance (IC) methods are implemented in this manuscript. The design, execution of EMS with Fuzzy Logic Controller (FLC) for AC/DC microgrid is implemented. Apart from designing of EMS the power quality of MG is improved. It proposes analysis, control of storage devices. The FLC improves battery life and also will achieve desirable SoC. An FLC based EMS grid integrated MG is adopted, to mitigate power quality issues under nonlinear, unbalanced load conditions. The proposed model is executed by adopting MATLAB/SIMULINK

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Smart energy management systems: a literature review

Cited by 15 publications

References 15 publications

A Hydrogen-driven Sustainable Marketing Strategy for Future Energy Hubs

A Hydrogen-driven Sustainable Marketing Strategy for Future Energy Hubs

A Novel Generalised Model for Residential Energy Management System

Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-Grid using Fuzzy Logic Controller

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