Smart campus energy management system

Talei, Hanaa; Essaaidi, Mohamed; Benhaddou, Driss

doi:10.1145/3128128.3128129

Cited by 12 publications

(3 citation statements)

References 9 publications

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“…According to Talei et al [65], [66], a good example of microgrid is a smart campus. Campus microgrids can be seen as a smaller version of a smart grid, which is often coupled to heating and cooling infrastructures.…”

Section: A Microgridsmentioning

confidence: 99%

“…In [65], the authors introduce examples of smart campus microgrids and the experience of Al Akhawayn University (Morocco), where measures of delay in information transmission are presented. In [66], they describe the main components of such a microgrid, and in particular, the energy management system (EMS), its different architectures and the value-added of cloud computing in this context.…”

Section: A Microgridsmentioning

confidence: 99%

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Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

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Section: A Microgridsmentioning

confidence: 99%

Section: A Microgridsmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

View full text Add to dashboard Cite

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“…In line with this, there are numerous studies relating to the notion of a smart campus [49], focusing on different specific sectors, such as the management of the growing number of devices [50]; IoT architectures [51][52][53]; energy management and air quality [54,55]; flexible architectures [56][57][58][59]; sensor networks [60]; big data [53]; semantic interoperability [61]; or knowledge management [62]. Research has also been conducted on global smart university solutions, though these are implemented for specific campuses, as in [63,64].…”

Section: Background and Motivationmentioning

confidence: 99%

Modelling and Implementing Smart Universities: An IT Conceptual Framework

2021

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The smart city concept has been gaining momentum in the scientific community because of its potentially huge impact on citizens’ quality of life. However, expectations have not yet been met in practice. This is firstly due to the sheer breadth of such projects and secondly to the lack of methodologies available to guide the development of flexible and sustainable platforms over time. In this work, we propose to address these issues by using a university campus as a less complex mock-up version of a city. Despite differences between them, we find services that are common to both, and a medium-sized city’s population is comparable to that of a university community. We propose an IT conceptual framework to model and implement smart university projects, which supports the design of a platform that is both in line with the strategic plans of universities and is flexible, sustainable, stable, and sufficiently modular to support the addition of different value-added services over the years. Our framework is based on a service provision model materialised in an IT architecture and managed following a methodology to integrate IT components that ensure the insertion of new, smart initiatives of value to the community, aligned with the university’s needs, via a value-added service planning process. The results are presented in the University of Alicante case study and the SmartUA project.

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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing

Shi

2023

IET Smart Cities

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The reduction of adverse environmental effects and the socioeconomic advantages of renewable energy systems promote greater integration of distributed energy systems into the traditional electrical networks. A new type of sharing economy is emerging with the sharing of energy resources to reduce transaction costs by using platform services in the cloud. Given the obstacles posed by the legacy system and various forms of renewable energy integration, Distributed Energy and Micro Grids (DE‐MG) are an efficient means of raising the quality of energy services. Rules for microgrid scalability, maintaining a budget, and security can make this difficult. Consumers are better at receiving the best renewable energy allotment price using a cloud‐based Peer‐to‐Peer (P2P) network. The main objective is to lower the daily energy cost of microgrid power in commercial buildings. In the proposed work, cloud‐based P2P for peer‐Multi Agent System (p‐MAS) optimization techniques are used to reduce system peak and integrated Demand Response (DR) with Energy Management System (EMS) in a commercial MG. To fill knowledge gaps about how various power market architectures and individual decision‐making processes impact local interactions and market outcomes, cloud‐based P2P for Modelling Leveraging Agents (MLA) is used for bill calculation. A performance measure is finally created for cost evaluation and reliability to measure the social benefits of cloud‐based P2P models for exchanging energy. For various price environments and resource types, a comparison between the proposed cloud‐based P2P model with an existing P2P model for exchanging energy is provided. The primary use of a distributed P2P model for exchanging power in a microgrid is to reduce electricity costs and increase grid environment reliability.

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Smart campus energy management system

Cited by 12 publications

References 9 publications

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Modelling and Implementing Smart Universities: An IT Conceptual Framework

Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing

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