Smart campus microgrid: Advantages and the main architectural components

Talei, Hanaa; Zizi, Badr; Abid, Mohamed Riduan; Essaaidi, Mohamed; Benhaddou, Driss; Khalil, Nacer

doi:10.1109/irsec.2015.7455093

Cited by 19 publications

(12 citation statements)

References 9 publications

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“…These applications are used for controlling and monitoring the generation, distribution, and consumption of the campus energy sources (e.g., photovoltaic systems or wind generators). Specifically, in the last years, multiple authors focused their research on the study of smart campus microgrids [80][81][82], smart grids [83,84], and smart energy systems [85,86]. •…”

Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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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%

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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“…Due to a university campus' large energy consumption, huge saving potentials can be achieved by turning it into a more intelligent campus. Furthermore, a university campus has the perfect conditions for establishing a microgrid [5]. Since a university campus has different typologies of buildings (teaching rooms, labs, study zones, canteen, offices, etc.)…”

Section: A Smart Campusmentioning

confidence: 99%

Location-based energy efficiency and flexibility strategies for smart campuses : Consideration of different levels of building intelligence and typologies

Christensen

Korsgaard

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)

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This paper proposes an approach to investigate building typologies on a selected campus to propose a locationbased energy efficiency and flexibility strategy for campuses to provide energy flexibility without compromising educational activities. To do so, this paper selects four different typologies and conduct an analysis on energy consumption patterns based on energy data provided by submeters located throughout the campus. Quantitative and qualitative methods in form of interviews and surveys were used to understand the consumption patterns in each selected type of buildings. Furthermore, the potential flexibilities have been evaluated based on the interview results and electricity market data. This paper defines the buildings intelligence level based on the EU standards EN15232. The proposed strategy is based on both the intelligence level and the importance level of different building typology. The results show that laboratories have the highest importance level with no flexibility at all. All other building typologies have flexibility in some amount where the canteen is found to have the most possibility for energy savings. This paper also finds that the chosen classrooms in a newly built building have the highest intelligence level, the classrooms in older buildings have the lowest intelligent level, and the rest of the building typologies have the same level of intelligence and have potentials improving the energy efficiency.

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Smart campus microgrid: Advantages and the main architectural components

Cited by 19 publications

References 9 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

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

Location-based energy efficiency and flexibility strategies for smart campuses : Consideration of different levels of building intelligence and typologies

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