政策・コミットメント・財務要因がバリューエンジニアリングに基づくグリーンデータセンター事業の投資コストに与える影響分析
Analysis of the Influence of Policy, Commitment and Financial Factors on Value Engineering – Based Investment Cost in Green Data Center Projects (原題)
E. Febriyani, Agus Suroso
🤖 gxceed AI 要約
日本語
データセンターの環境負荷低減を目的に、政策・機関コミットメント・財務要因がグリーンデータセンターの投資コストへ与える影響を、質問票と重回帰分析で検証した研究。液体冷却など高効率システムの採用で約15.34%のコスト削減とPUE改善が得られ、LCCAでは3年強での投資回収が見込まれると報告。最も支配的な要因は財務支援で、次いで政策と機関コミットメントであった。
English
This study analyzes how policy, agency commitment, and financial factors affect investment costs in green data center projects using questionnaires and multiple regression. Value engineering with liquid cooling cut costs by ~15.34% and improved PUE, while LCCA shows operational savings and payback of just over 3 years. Financial support was the dominant factor, followed by policy and commitment.
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
国内データセンターの電力消費と再エネ調達はGX実務の焦点であり、PUE改善・液体冷却・LCCAはScope2削減やRE100対応の投資判断に直結する。政策・補助金・財務支援が投資回収を左右する点は、日本のGX推進策やグリーン投資促進の議論に示唆を与える。
In the global GX context
Data centers are a fast-growing emissions source globally, and this paper links policy support, financial incentives, and value engineering to actual investment cost and payback. It adds empirical evidence on how disclosure of energy performance (PUE) and lifecycle costing can inform transition planning and green financing decisions.
👥 読者別の含意
🔬研究者:政策・財務・コミットメント要因を投資コストに結びつける実証枠組みと、VE・LCCAの適用例を提供する。
🏢実務担当者:液体冷却や高効率システムの導入が投資回収とPUE改善に有効であることを、投資判断の根拠として活用できる。
🏛政策担当者:データセンターの省エネ投資を促すには財務支援と政策の設計が支配的要因になり得る点を考慮すべき。
📄 Abstract（原文）
The Global Warming phenomenon caused by the greenhouse gas effect that raises the need for sustainable energy management, especially in the Data Center Industry which is known to contribute 2% of emissions, because 35% of energy use is for cooling. This study aims to analyze the influence of government policy factors, agency commitments, and finances on investment costs based on Value Engineering in the Green Data Center project, find the dominant factor among the factors assessed, calculate Value engineering on the investment costs of the Green Data Center to calculate the life cycle Cost Analysis. The research method uses a combination of quantitative & Qualitative methods with data collection techniques through Primary Data and Secondary Data, Secondary data is obtained based on project information such as Bill of Quantity, Technical Specifications and project reports. Primary data is obtained through questionnaires to stakeholders of the Data Center project, as well as multiple linear regression analysis to test the relationship between variables. The results of the study indicate that the factors assessed have a significant effect on the investment costs of environmentally friendly projects. The application of a renewable energy system through the Value Engineering stages has proven effective in optimizing investment costs through identifying the use of an energy-efficient Liquid cooling cooling system for medium-scale Data Centers which results in savings of around 15.34% and increases Energy Use Efficiency (PUE). While Life Cycle Cost Analysis (LCCA) shows long-term operational savings and a return on investment that is considered fast > than 3 years, the Green Data Center project is feasible to implement. The most dominant factor is the financial support aspect, followed by government policy and agency commitment. This study reinforces the importance of implementing environmentally friendly concepts to support energy efficiency in supporting climate change control and providing long-term economic benefits.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://journal.uny.ac.id/index.php/inersia/article/download/85389/24962first seen 2026-10-03 05:42:10 · last seen 2026-10-07 05:48:58
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