Energy management of multi-carrier smart buildings for integrating local renewable energy systems

Arnone, Diego; Croce, Vincenzo; Paternò, Giuseppe M.; Rossi, Alessandro; Emma, S.; Miceli, R.; Tommaso, A. O. Di

doi:10.1109/icrera.2016.7884455

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…Arnone et al [18] suggest a Building Management System for controlling energy flows in smart buildings integrated with various energy networks and RES, using heuristic optimization for 24 h energy generation and consumption scheduling. Aguilar et al [19] describe a scheduling system that automatically defines hours of utilization of the controllable load devices in a home, in such a way that the use of renewable energy is maximized.…”

Section: Related Workmentioning

confidence: 99%

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

García,

Aguilar,

R-Moreno

2024

Energies

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Distributed energy resources have demonstrated their potential to mitigate the limitations of large, centralized generation systems. This is achieved through the geographical distribution of generation sources that capitalize on the potential of their respective environments to satisfy local demand. In a microgrid, the control problem is inherently distributed, rendering traditional control techniques inefficient due to the impracticality of central governance. Instead, coordination among its components is essential. The challenge involves enabling these components to operate under optimal conditions, such as charging batteries with surplus solar energy or deactivating controllable loads when market prices rise. Consequently, there is a pressing need for innovative distributed strategies like emergent control. Inspired by phenomena such as the environmentally responsive behavior of ants, emergent control involves decentralized coordination schemes. This paper introduces an emergent control strategy for microgrids, grounded in the response threshold model, to establish an autonomous distributed control approach. The results, utilizing our methodology, demonstrate seamless coordination among the diverse components of a microgrid. For instance, system resilience is evident in scenarios where, upon the failure of certain components, others commence operation. Moreover, in dynamic conditions, such as varying weather and economic factors, the microgrid adeptly adapts to meet demand fluctuations. Our emergent control scheme enhances response times, performance, and on/off delay times. In various test scenarios, Integrated Absolute Error (IAE) metrics of approximately 0.01% were achieved, indicating a negligible difference between supplied and demanded energy. Furthermore, our approach prioritizes the utilization of renewable sources, increasing their usage from 59.7% to 86.1%. This shift not only reduces reliance on the public grid but also leads to significant energy cost savings.

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Section: Related Workmentioning

confidence: 99%

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

García,

Aguilar,

R-Moreno

2024

Energies

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“…2. The realtime electricity consumption data from in-home appliances, including schedulable and nonschedulable appliances, will be collected by smart plugs and/or circuit breakers to implement optimal demand dispatch [11], [12]. In addition, the smart meter can be used as the interface between power utilities and the smart houses [13].…”

Section: Smart Homes and Hemsmentioning

confidence: 99%

“…Smart homes promise efficient energy consumption, improved quality of life, security and safety for consumers, as well as opportunities of growth for the electric utility industry, home appliance manufacturers and smart-home platform providers [12]. The construction and conversion of conventional homes into smart homes are important endeavors to bring the smart home from concept to reality and have seen a tremendous increase lately, which can be attributed to the advancements in enabling technologies, including the internet of things (IoT) [14], machine learning, artificial intelligence, big data analytics [15] and smart devices, etc.…”

Section: Smart Homes and Hemsmentioning

confidence: 99%

Smart Plug and Circuit Breaker Technologies for Residential Buildings in the US

Alden

Han

Ionel

2019

2019 8th International Conference on Renewable Energy Research and Applications (ICRERA)

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A significant proportion of the total energy in conventional homes across the United States is used by electric plug loads, which include various electronic devices and home appliances, excluding the heating, ventilation and air conditioning (HVAC) units and electric water heaters. Considerable energy savings are expected to be possible by managing these plug loads effectively based on user behavior data. Smart plugs and circuit breakers that can control and monitor energy usage on a real-time basis are becoming increasingly popular alongside the rapid development of smart home energy management. This paper reviews the recent advances on the subject matter with emphasis on the feasibility of energy monitoring and the flexibility of system integration. A relatively low cost laboratory implementation, using a general-purpose single-board computer, which was designed, built, and tested in order to provide enhanced power quality monitoring capabilities and to support research in this fast growing area, is described together with experimental sample results.

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“…Those initiatives pose real-time challenges which have been the focus of many researchers and practitioners in recent times [1][2][3][4][5]. Indeed, IoT and big data sources can be found in a number of applications, e.g., smart homes [6,7], smart buildings [8,9], smart grids [10], transportation [11], healthcare [12], disaster management [13], financial sector [14], retail management [15], and smart cities [16,17]. IoT sensors can be deployed in a smart building environment to continuously monitor various environmental parameters, including smoke, parking lot usage, user comfort, energy consumption, waste management, and many others.…”

Section: Introductionmentioning

confidence: 99%

A Reference Architecture for IoT-Enabled Smart Buildings

2022

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The management and analytics of big data generated from IoT sensors deployed in smart buildings pose a real challenge in today’s world. Hence, there is a clear need for an IoT focused Integrated Big Data Management and Analytics framework to enable the near real-time autonomous control and management of smart buildings. The focus of this paper is on the development and evaluation of the reference architecture required to support such a framework. The applicability of the reference architecture is evaluated by taking into account various example scenarios for a smart building involving the management and analysis of near real-time IoT data from 1000 sensors. The results demonstrate that the reference architecture can guide the complex integration and orchestration of real-time IoT data management, analytics, and autonomous control of smart buildings, and that the architecture can be scaled up to address challenges for other smart environments.

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Energy management of multi-carrier smart buildings for integrating local renewable energy systems

Cited by 13 publications

References 5 publications

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

An Autonomous Distributed Coordination Strategy for Sustainable Consumption in a Microgrid Based on a Bio-Inspired Approach

Smart Plug and Circuit Breaker Technologies for Residential Buildings in the US

A Reference Architecture for IoT-Enabled Smart Buildings

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