← 論文一覧に戻る

サウジアラビアの観光インフラにおけるネットゼロ対応MEP戦略:ビジョン2030に基づく持続可能な地域開発の推進

Net Zero Ready MEP Strategies for Tourism Infrastructure in Saudi Arabia: Advancing Sustainable Regional Development under Vision 2030 (原題)

Saquib Syed

Global Academic Journal of Economics and Business📚 査読済 / ジャーナル2026-08-17#エネルギー転換Origin: Global経営インパクト: コスト削減対象セクター: construction
DOI: 10.36348/gajeb.2026.v08i04.042
原典: https://doi.org/10.36348/gajeb.2026.v08i04.042

🤖 gxceed AI 要約

日本語

本レビューは、サウジアラビアの観光インフラ(ホテル、リゾート、交通拠点など)のMEPシステムをネットゼロ対応にするための枠組みを提案する。需要削減、電化、低炭素エネルギー接続、柔軟な負荷運用、性能検証を統合した6層戦略と段階的ロードマップを示し、計画段階から性能要件を組み込む重要性を強調する。

English

This review proposes a framework for making MEP systems in Saudi tourism infrastructure net-zero ready, integrating demand reduction, electrification, low-carbon energy, load flexibility, and performance verification. It outlines a six-layer strategy and staged roadmap, emphasizing embedding performance requirements from master planning through facilities management.

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、SSBJ開示や省エネ法改正により、建築物の脱炭素性能が投資判断に影響しつつある。本稿の「ネットゼロ対応」の概念は、日本の観光地や都市開発におけるMEP設計と運用の統合的アプローチに示唆を与える。

In the global GX context

Globally, this aligns with ISSB and CSRD requirements for climate resilience and transition planning. The framework offers practical guidance for tourism infrastructure in hot climates, relevant to regions facing similar decarbonization challenges.

👥 読者別の含意

🔬研究者:Provides a structured framework for net-zero readiness in MEP systems, useful for further empirical studies.

🏢実務担当者:Offers actionable strategies for integrating net-zero design into tourism infrastructure projects.

🏛政策担当者:Highlights the need to embed net-zero requirements in planning and procurement for regional development.

📄 Abstract(原文)

Saudi Arabia's tourism expansion is creating a new class of hotels, resorts, cultural destinations, transport interfaces and mixed-use visitor districts whose mechanical, electrical and plumbing systems will determine long-term energy demand, water security, operational resilience and carbon exposure. This review develops a context-specific framework for making such infrastructure net-zero ready under Vision 2030. A structured integrative review of literature and official evidence published from 2020 to 2025 was undertaken across building performance, district energy, renewable integration, microgrids, water efficiency, digital engineering and reliability-centred operations. The synthesis distinguishes net-zero readiness from an immediate claim of net-zero operation: readiness is defined as the technical and institutional capacity to reduce demand, electrify end uses, connect to low-carbon energy, flex loads, verify performance and avoid carbon lock-in throughout the asset life cycle. Evidence indicates that cooling-led load reduction, high-efficiency chillers, low-temperature networks, thermal storage, solar generation, intelligent controls and robust commissioning should be designed as one system rather than procured as isolated packages. For tourism assets, the framework also requires occupancy-responsive operation, peak-season resilience, water-energy coordination and service continuity during extreme heat or visitor surges. Digital twins and building information models can strengthen option appraisal and operational feedback, but their value depends on interoperable data, competent teams and contractual access to measured performance. The paper proposes a six-layer strategy, a staged delivery roadmap and an indicator set linking carbon, energy, water, reliability and regional value. It concludes that net-zero-ready MEP infrastructure can advance sustainable regional development when performance requirements are embedded in master planning, procurement, commissioning and long-term facilities management, rather than added after architectural design has been fixed.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。