Operational Energy Assessment and Selective Retrofit Strategy for a 24-Hour Cafe Using EDGE-Based Scenario Analysis

Authors

  • Onie Dian Sanitha Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Yunida Iashania Department of Mining Engineering, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Novera Kristianti Department of Informatics Engineering , Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Elis Sri Rahayu Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Nia Apriliyanti Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Taufiqurahman Taufiqurahman Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Audy Mirelia Wirly Sompotan Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia
  • Yusuf Aditya Sihombing Department of Architecture, Faculty of Engineering, Palangka Raya University, Palangka Raya, Indonesia

DOI:

https://doi.org/10.24002/jarina.v5i1.12400

Keywords:

24-hour cafe, Energy performance, EDGE assessment, Operational calibration, Tropical building, Simulation-based evaluation, HVAC efficiency

Abstract

This research evaluates the energy performance of a 24-hour cafe in a tropical context using the EDGE decision-support platform. Cafe Oregano in Palangka Raya, Indonesia, was selected as a case study due to its continuous operation, refrigeration systems, and kitchen appliances, which generate persistent internal loads that challenge conventional assumptions about commercial building energy use. The EDGE baseline simulation produced a very high Energy Performance Index (EPI) of 778.53 kWh/m²/year, corresponding to a 32.50% relative performance, indicating a mismatch between standardised IFC assumptions and actual cafe operational behaviour. After parameter refinement and validation using monthly electricity bills, performance improved to 674.55 kWh/m²/year (+13.36%), reducing annual electricity consumption from 420,858 to 275,215 kWh. Sensitivity analysis showed that HVAC efficiency and zoning delivered the greatest performance gains, followed by envelope and lighting improvements, while refrigeration loads remained structurally dominant. To evaluate real-world feasibility, a selective retrofit scenario based on local Indonesian market costs was developed. The resulting package—roof and partial wall insulation, LED retrofitting, high-efficiency 1 HP HVAC replacement, and basic zoning controls—requires an estimated capital investment of IDR 310–320 million and achieves a simple payback of 1.5–2 years. Overall, the findings confirm that while EDGE effectively identifies relative performance trends, achieving meaningful energy efficiency in cafe typologies requires calibrated scenarios, realistic operational assumptions, and economically grounded interventions.

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Published

2026-02-03

How to Cite

[1]
O. D. Sanitha, “Operational Energy Assessment and Selective Retrofit Strategy for a 24-Hour Cafe Using EDGE-Based Scenario Analysis”, JARINA, vol. 5, no. 1, pp. 47–55, Feb. 2026.

Issue

Vol. 5 No. 1 (2026): Artificial Intelligence for Human-Centric Performance: Integrating Neuroarchitecture, Environmental Analytics, and Adaptive Built Environments

Section

Articles

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Copyright (c) 2026 Onie Dian Sanitha, Yunida Iashania, Novera Kristianti, Elis Sri Rahayu, Nia Apriliyanti, Taufiqurahman Taufiqurahman, Audy Mirelia Wirly Sompotan, Yusuf Aditya Sihombing

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