Evidence map›Paper›PMID 39559224›Full record

ReviewHeliyon2024

Towards energy independence at KENTECH: A comprehensive microgrid implementation roadmap.

Lismer Andres Caceres-Najarro, Joonsung Jung, Yonggeon Lee, Seorin Yoo, Muhammad Salman, Jip Kim, Gyusub Lee, Youngtae Noh

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Microgrids as a Tool for Energy Self-Sufficiency.Sensors (Basel, Switzerland) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lismer Andres Caceres-NajarroDepartment of Computer Engineering, Chosun University, Gwangju, Republic of Korea.
Joonsung JungKorea Institute of Energy Technology (KENTECH), Naju, Republic of Korea.
Yonggeon LeeDepartment of Data Science, Hanyang University, Seoul, Republic of Korea.
Seorin YooKorea Institute of Energy Technology (KENTECH), Naju, Republic of Korea.
Muhammad SalmanCollege of Electrical & Mechanical Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan.
Jip KimKorea Institute of Energy Technology (KENTECH), Naju, Republic of Korea.
Gyusub LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
Youngtae NohDepartment of Data Science, Hanyang University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a comprehensive microgrid roadmap for the Korea Institute of Energy Technology (KENTECH), an energy specialized institute in South Korea, aligning with the country's overarching objective of achieving carbon neutrality by the year 2050. The roadmap outlines the integration of diverse energy resources-primarily renewables-to enhance sustainability and energy efficiency on campus. The paper also describes key elements for achieving autonomous energy operations through advanced technologies such as energy management systems, network gateways for system interoperability, static transfer switches, intelligent electronic devices, and power condition systems. It also presents details on our microgrid management system and customized data collection platform that acquires data from internet of things devices, advanced metering infrastructure, and automated revenue measurement. Additionally, by using a stochastic two-stage optimization model, we evaluate 1,320 scenarios to identify the optimal energy mix, focusing on the integration of renewable sources. Our findings reveal that a 15 MW solar capacity, coupled with an advanced energy storage system (ESS), can significantly enhance energy self-sufficiency, achieving up to 100% self-sufficiency in specific scenarios. The study demonstrates that increasing the solar installation from 5 MW to 15 MW, while integrating ESS, reduces dependency on imported power by 35% and enhances operational efficiency. Moreover, the optimization model indicates a potential 15% reduction in operational costs when demand response strategies are effectively implemented, particularly during peak activities. Furthermore, the microgrid design is projected to reduce CO2 emissions by up to 60%, contributing to KENTECH's role as a leader in sustainable energy management. These results highlight the roadmap's capability to transform KENTECH into a model of energy independence, with significant implications for similar institutions globally.

Indexed as

Building energy management system (BEMS)Campus energy management system (CEMS)Energy efficiencyEnergy storage system (ESS)Investment costKorea Institute of Energy and Technology (KENTECH)MicrogridNet present cost (NPC)Operational costPhotovoltaic (PV)

Identifiers

PMID39559224
PMCPMC11570314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.