Energy Monitoring System Based on Internet of Things Toward Smart Campus in Institut Teknologi Sumatera

Yuliansyah, Harry; Corio, Dean; Yunmar, Rajif Agung; Aziz, Muhammad Reza Kahar

doi:10.1088/1755-1315/258/1/012008

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…Studies [78,[87][88][89][90][91][92] proposed a controller that provides functionality for building operators to adjust setpoints to minimize energy consumption based on incentives or alerts received from grid. Other studies used different operational strategies [44,[93][94][95][96][97][98][99][100] to monitor indoor climate and other energy consumption-related data from the appliance through a web service dashboard allowing the building operator to act on data to reduce energy consumption.…”

Section: Classification Based On Sbems Technologymentioning

confidence: 99%

Systematic Review Analysis on Smart Building: Challenges and Opportunities

et al. 2022

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Smart building technology incorporates efficient and automated controls and applications that use smart energy products, networked sensors, and data analytics software to monitor environmental data and occupants’ energy consumption habits to improve buildings’ operation and energy performance. Smart technologies and controls are becoming increasingly important not only in research and development (R&D) but also in industrial and commercial domains, leading to a steady growth in their application in the building sector. This study examines the literature on SBEMS published between 2010 and 2020 with a systematic approach. It examines the trend with the annual number of the published studies before exploring the classification of publications in terms of factors such as domain of SBEMS, control approaches, smart technologies, and quality attributes. Recent developments around the smart building energy management systems (SBEMS) have focused on features that provide occupants with an interface to monitor, schedule, and modify building energy consumption profiles and allow a utility to participate in a communication grid through demand response programs and automatic self-report outage functionality. The study also explores future research avenues, especially in terms of improvements in privacy and security, and interoperability. It is also suggested that the smart building technologies’ smartness can be improved with the help of solutions such as real-time data monitoring and machine learning

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Section: Classification Based On Sbems Technologymentioning

confidence: 99%

Systematic Review Analysis on Smart Building: Challenges and Opportunities

et al. 2022

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“…Affordable and clean energy [Gomes et al 2017], [John et al 2017], [Wang et al 2017], [Malatji and Ntsaluba 2018], [Okeniyi et al 2018], [Akindeji et al 2019], [Cypriano et al 2019], [Weng et al 2019], [Yuliansyah et al 2019] 11 Sustainable cities and communities [Li et al 2017b], [Subbarao et al 2019] 12 Responsible consumption and production [Lo 2019] 13 Climate action [Adenle and Alshuwaikhat 2017], [Li et al 2017a], [Rodrigues et al 2019] Given the amount of smart campus solutions that can be related to the SDGs, we see that the university is an environment conducive to the achievement of these UN goals. Throughout our work, we intend to combine several of these existing solutions to create a unified green smart campus framework (SDGreen), as is further detailed in Section 3.…”

Section: # Descriptionmentioning

confidence: 99%

Towards a Simulator for Green Smart Campus Systems

Moraes¹,

Pisani²,

Borin³

2020

Anais Do Workshop De Computação Aplicada À Gestão Do Meio Ambiente E Recursos Naturais (WCAMA 2020)

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The 2030 Agenda for Sustainable Development aims to foster environmental protection, inclusive economic growth, and social inclusion. Universities are called to join this global effort and are expected not only to contribute with solutions for the sustainability challenges but also provide sustainable campi. Given this scenario, the main contributions of this paper are threefold: i) to illustrate how universities could contribute with the 2030 Agenda through smart campus solutions based on technologies such as Internet of Things, Big Data, and Cloud Computing; ii) to propose a framework to automatically collect data to generate and manage sustainability indicators in the university; and iii) to propose a simulator for green smart campus system which allows an adequate estimate of the required information and communication infrastructure.

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“…One of the many ways universities can add value to sustainable development goals is to establish smart campus solutions (Moraes et al, 2020). Studies have shown that smart campus solutions provide technologies for achieving the following SDGs: clean water and sanitation (Kuo et al, 2018), affordable and clean energy (Weng et al, 2019;Yuliansyah et al, 2019), sustainable cities and communities (Liu et al, 2017;Subbarao et al, 2019), responsible consumption and production (Lo, 2019) and climate action (Liu et al, 2017;Rodrigues et al, 2019). Muhamad et al (2017) reckoned that several definitions of smart campus in literature are based on technology, smart city and business process.…”

Section: Introductionmentioning

confidence: 99%

A Systems Thinking Model for Transitioning Smart Campuses to Cities

Omotayo

Awuzie

Ajayi

et al. 2021

Front. Built Environ.

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The contribution of smart campuses to smart cities’ development and vice versa has been elucidated in extant literature. The micro-transfer of smart technologies and probable procurement and contracting models remain critical for such contributions to take place. This study used a systems thinking approach to establish the interrelationships existing between smart campus technologies which can be scaled towards the development of smart cities and assess the critical failure factors negating the micro-transfer of these technologies to smart city development initiatives in developing countries. To achieve its objective, the study adopted a phenomenological research design wherein qualitative data was elicited from a purposively selected sample of seven interviewees in South African Universities. The next phase of the analysis involved a thematic approach for the production of a causal loop diagram (CLD) reflecting the interrelationships between the abovementioned facets and the associated impact on the transference of knowledge and technologies from smart campuses to smart cities. This CLD was subsequently validated by a cohort of five experts. Findings from the validation phase were incorporated in an improved CLD which provided different archetypes for engendering successful transference. This study holds salient implications for universities, cities and other stakeholders seeking to engage in a quadruple helix innovative arrangement for smart campus/city development. This study concluded that smart campuses could act as living labs for future smartness of cities globally. Government funding and willingness to produce smart cities from campuses is a fundamental feature of creating smart infrastructure in cities.

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Energy Monitoring System Based on Internet of Things Toward Smart Campus in Institut Teknologi Sumatera

Cited by 6 publications

References 1 publication

Systematic Review Analysis on Smart Building: Challenges and Opportunities

Systematic Review Analysis on Smart Building: Challenges and Opportunities

Towards a Simulator for Green Smart Campus Systems

A Systems Thinking Model for Transitioning Smart Campuses to Cities

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