A Reproducible Python Framework for RA 11396 LUDIP Compliance with Building-Energy Benchmarking and Embodied-Carbon Screening

¹ Department of Mechanical Engineering, College of Engineering, Central Mindanao University, Philippines
² Department of Mechanical Engineering, College of Engineering and Architecture, Mapua Malayan Colleges Mindanao, Philippines
³ Department of Environmental Science, College of Forestry and Environmental Science, Central Mindanao University, Philippines
⁴ Department of Civil Engineering, College of Engineering, Central Mindanao University, Philippines
⁵ Department of Forest Resources and Management, College of Forestry and Environmental Science, Central Mindanao University, Philippines
⁶ Center for Geomatics Research and Extension, Central Mindanao University, Philippines
⁷ Planning and Development Office, Davao del Sur State College, Philippines
⁸ Planning and Development Office, Sulu State College, Philippines

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

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.