A Reproducible Python Framework for RA 11396 LUDIP Compliance with Building-Energy Benchmarking and Embodied-Carbon Screening
RA 11396 LUDIPコンプライアンスのための再現可能なPythonフレームワーク：建築エネルギー性能ベンチマークとエンボディドカーボンスクリーニング (AI 翻訳)
Niño Louie Boloron, Clara A. Acebes, Antonio A. Pescadera, Eric Bruno, Richard Aquino, Michael Arieh Medina, Jupiter Casas
🤖 gxceed AI 要約
日本語
フィリピンの州立大学・カレッジ（SUC）向けに、土地開発・インフラ計画（LUDIP）のコンプライアンスを自動化する再現可能なPythonフレームワークを提案。エネルギー使用原単位（EUI）計算、改修シナリオ評価、エンボディドカーボンスクリーニングを統合し、3つの異なるキャンパスで実証。エネルギー・炭素データは暫定的だが、土地用途コンプライアンスと形態結果は実データに基づく。
English
This paper presents a reproducible Python framework for automating compliance with Republic Act 11396 (LUDIP) for Philippine State Universities and Colleges. It integrates building-energy benchmarking (EUI), retrofit scenario evaluation, and embodied-carbon screening. Demonstrated on three diverse campuses, the framework produces standardized land-use compliance outputs while energy and carbon modules remain illustrative pending detailed data.
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
フィリピン固有の規制に焦点を当てており、日本のGX文脈では直接的な関連性は低い。ただし、キャンパス単位でのエネルギー・炭素管理の枠組みは、日本の大学等における省エネ・カーボンニュートラル施策の参考になる可能性がある。
In the global GX context
While focused on Philippine regulation, this framework demonstrates a lightweight, open-source approach to integrating building energy and embodied carbon into land-use planning. It offers a replicable model for institutions in developing countries or any campus setting seeking to automate sustainability compliance.
👥 読者別の含意
🔬研究者:Researchers interested in reproducible frameworks for building energy benchmarking and embodied carbon screening in institutional settings.
🏢実務担当者:Campus sustainability officers in the Philippines or similar contexts can use the framework to streamline LUDIP compliance and incorporate green building modules.
🏛政策担当者:Policymakers in the Philippines or other countries with similar land-use planning requirements can see how digital tools can automate compliance and integrate carbon considerations.
📄 Abstract（原文）
State Universities and Colleges (SUCs) in the Philippines are required to prepare Land Use Development and Infrastructure Plans (LUDIPs) that rationalize campus land allocations and development pipelines. While the legal and planning intent is clear, implementation is often hindered by fragmented datasets, manual workflows, and limited integration of building-energy and embodied-carbon indicators into spatial planning and LUDIP compliance workflows. This paper presents a reproducible computational framework that automates LUDIP compliance analytics under Republic Act No. 11396 and extends the planning pipeline with lightweight green-building modules: (i) energy use intensity (EUI) computation from utility bills or submeters, (ii) a structured retrofit-scenario evaluator with an optional pathway to EnergyPlus/OpenStudio simulation, and (iii) a screening-level embodied-carbon workflow aligned with life-cycle assessment (LCA) principles. The framework is demonstrated on three SUCs representing distinct campus contexts (highland, lowland multi-campus, and coastal), producing standardized functional-core shares, transition deltas, and planning signatures from actual LUDIP datasets. Although energy and embodied-carbon outputs are presented as representative schematic outputs pending detailed building-level data collection, the land-use compliance and morphology results are grounded in real campus records, confirming the framework’s applicability across diverse institutional settings.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1051/e3sconf/202670906002/pdffirst seen 2026-06-02 04:35:01 · last seen 2026-06-03 04:44:42
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