LED照明によるエネルギー効率評価と温室効果ガス排出削減:航空職業教育のプロジェクト型学習リソースとしてのジュアンダ空港国内線ターミナル
Energy Efficiency Evaluation and Greenhouse Gas Emission Reduction from LED Lighting at Juanda Airport Domestic Terminal as a Project-Based Learning Resource for Aviation Vocational Education (原題)
Wiwid Suryono, Siti Fatimah, Linda Winiasri, Muhammad Roil Bilad
🤖 gxceed AI 要約
日本語
本研究は、インドネシアのジュアンダ空港国内線ターミナルにおけるLED照明への転換によるエネルギー効率とGHG排出削減の可能性を評価し、これを航空職業教育のプロジェクト型学習(PjBL)リソースとして再構成する。2022-2025年のRAN-GRK排出報告書の二次データ分析により、電力が排出の約99%を占め、LED転換で年間約4.1GWh、約3,300トンのCO2削減が見込まれる。さらに、実データを用いた5段階のPjBLモデルを提案し、持続可能な開発のための教育を航空カリキュラムに統合する。
English
This study evaluates the energy efficiency and GHG reduction potential of converting to LED lighting at Juanda Airport's domestic terminal and reframes it as a project-based learning (PjBL) resource for aviation vocational education. Analysis of 2022-2025 RAN-GRK emission reports shows electricity accounts for ~99% of emissions, with LED conversion saving ~4.1 GWh and ~3,300 tCO2 annually. A five-stage PjBL model integrates real airport data into competency-based learning, bridging decarbonization practice and vocational training.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では空港・インフラの脱炭素化が進む中、本論文は実データを用いた教育連携の事例として参考になる。SSBJ開示やカーボンニュートラルポートの文脈で、人材育成と実務の橋渡しに示唆を与える。
In the global GX context
Globally, this paper offers a replicable model for translating airport decarbonization data into vocational education, aligning with ESD and competency-based training. It provides a case study for emerging economies on integrating sustainability into infrastructure operations and education, complementing TCFD/ISSB reporting frameworks.
👥 読者別の含意
🔬研究者:Provides a case study on airport energy efficiency and a framework for integrating real-world data into vocational education, useful for sustainability education research.
🏢実務担当者:Offers a practical example of LED conversion assessment and a PjBL model that can be adapted for corporate training and sustainability reporting.
🏛政策担当者:Highlights the potential of educational initiatives to support GHG reduction goals, suggesting policy support for integrating sustainability into vocational training.
📄 Abstract(原文)
Air transport infrastructure is a significant and growing source of energy-related greenhouse gas (GHG) emissions, yet airport sustainability practices are rarely translated into structured learning resources for aviation vocational education. This study evaluates the energy efficiency and GHG emission reduction potential of converting conventional lighting to light-emitting diode (LED) technology at the domestic terminal of Juanda Airport, Surabaya, and reframes the evaluation as a project-based learning (PjBL) resource for aviation vocational students. A descriptive quantitative design was applied to secondary data from the airport's quarterly RAN-GRK (National Action Plan for GHG Reduction) emission reports for 2022-2025, complemented by a transparent estimation scenario of LED conversion based on established efficiency benchmarks, using a grid emission factor of 0.8 kg CO2 per kWh. The analysis shows that electricity is the overwhelmingly dominant emission source, accounting for roughly 99% of total airport emissions, with airport-operator electricity alone representing 85-93%, while quarterly electricity demand rose from about 7 GWh in early 2022 to more than 14 GWh by late 2025. Under a base-case scenario in which lighting represents 15% of terminal-area electricity and LED conversion saves 50% of lighting energy, the estimated annual saving reaches approximately 4.1 GWh, avoiding about 3,300 tonnes of CO2 per year. Building on these findings, the study proposes a five-stage PjBL model in which cadets perform authentic energy auditing, carbon inventory, and sustainability reporting tasks using real airport data, integrating Education for Sustainable Development principles into the aviation vocational curriculum. The study contributes a replicable bridge between real-world airport decarbonisation data and competency-based vocational learning.
🔗 Provenance — このレコードを発見したソース
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