A multi-criteria decision model to support sustainable building energy management system with intelligent automation

Uzair, Muhammad; Ali Abbas Kazmi, Syed

doi:10.1016/j.enbuild.2023.113687

Cited by 6 publications

(2 citation statements)

References 33 publications

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“…This section explores key technological advancements in BEMS, including Internet of Things (IoT) integration, cloud computing, artificial intelligence (AI) and machine learning, and data analytics, highlighting their impact on BEMS functionality and effectiveness (Kozlovska, et. al., 2023, Newton, Shirazi & Christensen, 2023, Uzair & Kazmi, 2023.…”

Section: Technology Advancements In Building Energy Management Systemsmentioning

confidence: 99%

A comprehensive review of Building Energy Management Systems (BEMS) for Improved Efficiency

Wags Numoipiri Digitemie,

Ifeanyi Onyedika Ekemezie

2024

World J. Adv. Res. Rev.

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Building Energy Management Systems (BEMS) play a crucial role in enhancing energy efficiency and sustainability in buildings. This abstract provides a comprehensive review of BEMS, focusing on its components, benefits, challenges, and future trends. BEMS is a centralized system that monitors and controls building services, such as heating, ventilation, air conditioning, lighting, and other systems, to improve energy efficiency and occupant comfort. The key components of BEMS include sensors, controllers, communication networks, and user interfaces. These components work together to collect data on building performance, analyze energy consumption patterns, and optimize system operation. One of the primary benefits of BEMS is its ability to reduce energy consumption and costs. By monitoring and controlling building systems based on occupancy schedules and environmental conditions, BEMS can significantly reduce energy waste. Additionally, BEMS can improve occupant comfort and productivity by maintaining optimal indoor environmental conditions. Despite its benefits, BEMS faces several challenges, including high upfront costs, complexity of installation, and integration issues with existing building systems. However, advancements in technology, such as the Internet of Things (IoT) and cloud computing, are addressing these challenges and making BEMS more accessible and cost-effective. Looking ahead, the future of BEMS is promising, with continued advancements in technology driving its adoption and integration into smart building systems. The integration of artificial intelligence and machine learning algorithms into BEMS is expected to further improve its energy-saving capabilities and enhance building performance. In conclusion, BEMS is a key technology for improving energy efficiency and sustainability in buildings. By leveraging its components and capabilities, BEMS can help reduce energy consumption, lower costs, and create healthier and more comfortable indoor environments.

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Section: Technology Advancements In Building Energy Management Systemsmentioning

confidence: 99%

A comprehensive review of Building Energy Management Systems (BEMS) for Improved Efficiency

Wags Numoipiri Digitemie,

Ifeanyi Onyedika Ekemezie

2024

World J. Adv. Res. Rev.

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“…It achieves this by conducting a detailed examination of the characteristics of various energy storage technologies, along with performance metrics, cost analyses, and a multi-criteria scoring system. [1][2][3][4][5] The incorporation of sustainable energy sources, such as solar and wind, into electrical grids has resulted in sporadic energy production patterns, requiring the implementation of energy storage devices to manage the natural fluctuations. Choosing an energy storage system requires careful consideration of technical parameters, economic feasibility, and environmental sustainability.…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Storage System Selection: A Decision Support Framework

Rozhdestvenskiy,

Bobba,

Sharma

et al. 2024

E3S Web Conf.

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This study enhances the domain of optimum energy storage system selection by offering a complete decision support framework that incorporates technical, economic, and environmental factors. The technical investigation examines energy and power density measurements, which demonstrate the exceptional volumetric energy storage capacities of lithium-ion batteries at 250 Wh/L. This highlights their appropriateness for applications that prioritize compactness. Lead-acid batteries are a cost-effective option that have a lower energy density of 80 Wh/L. This makes them particularly advantageous in situations where volume limitations are not as important. Flow batteries and supercapacitors are positioned in the middle, with flow batteries offering a well-balanced profile of energy and power density, while supercapacitors excel in applications that need fast charging and discharging. An in-depth evaluation of the startup costs and ongoing expenditures is conducted to thoroughly assess the economic feasibility of adopting an energy storage system. Although lithium-ion batteries have a higher upfront cost of $100,000, they demonstrate a well-balanced economic profile by offering a significant 66% decrease in operating expenditures compared to lead-acid batteries. Lead-acid batteries, which have an initial price tag of $60,000, demonstrate cost-effectiveness but result in higher ongoing costs. Flow batteries and supercapacitors are positioned as premium alternatives, with respective beginning prices of $150,000 and $200,000. Environmental sustainability is a fundamental factor that is assessed via life cycle analysis. Lithiumion batteries, while very efficient, give rise to problems over resource depletion and environmental damage linked to mining activities. Lead-acid batteries, due to their recyclability, provide a more ecologically sound alternative. Flow batteries, which use readily available and environmentally safe components, are very compatible with objectives aimed at promoting sustainability. Supercapacitors, which often use ecologically friendly materials, have potential in reducing negative environmental impacts. MultiCriteria Decision Analysis (MCDA) is used to integrate technical, economic, and environmental assessments. Lithium-ion batteries are considered the most favorable choice due to their exceptional technical performance and economic viability. Lead-acid batteries have a strong market position due to their cost-efficiency and ecofriendliness. Flow batteries and supercapacitors, while they have distinct benefits, are only suitable for certain applications. The stability of the framework is shown by sensitivity analysis, which identifies energy density and beginning costs as crucial factors. Engaging stakeholders helps confirm the framework’s usefulness, ensuring that it can be practically used and remains relevant in guiding well-informed choices in the ever-changing field of energy storage technologies. This study provides vital insights into the discussion on sustainable and efficient energy solutions, presenting a clear plan for decision-makers to navigate the intricacies of selecting energy storage systems.

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Robust multi-scale time series prediction for building carbon emissions with explainable deep learning

Chen,

Guo,

Zhang

et al. 2024

Energy and Buildings

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A multi-criteria decision model to support sustainable building energy management system with intelligent automation

Cited by 6 publications

References 33 publications

A comprehensive review of Building Energy Management Systems (BEMS) for Improved Efficiency

A comprehensive review of Building Energy Management Systems (BEMS) for Improved Efficiency

Optimal Energy Storage System Selection: A Decision Support Framework

Robust multi-scale time series prediction for building carbon emissions with explainable deep learning

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