Open Access Article

Title: A performance-based green building assessment system: framework development and energy performance evaluation

Authors: Lihua Zhong; Haibo Li; Tingyu Wu; Yuejun Liu

Addresses: School of Economics and Management, Hebei University of Architecture, Zhangjiakou, Hebei 075000, China ' School of Architecture and Art, Hebei University of Architecture, Zhangjiakou, Hebei 075000, China ' School of Economics and Management, Hebei University of Architecture, Zhangjiakou, Hebei 075000, China ' School of Economics and Management, Hebei University of Architecture, Zhangjiakou, Hebei 075000, China; Zhangjiakou Construction Industry Management Digital Technology Innovation Center, Hebei 075000, China

Abstract: This study develops a performance-based green building assessment system (PBGBAS) centred on energy performance and supported by a configurable benchmark database. The framework integrates input, evaluation, adjustment, output and interpretation modules, enabling calibration by region, building type and lifecycle stage. Indicators are screened from major rating tools and reorganised into a compact hierarchy of performance categories, items and indicators. Measured or simulated values are mapped to a five-point score through transparent linear or nonlinear scoring functions, and weights are obtained from structured stakeholder elicitation. The adjustment module updates indicators, benchmarks and weights to improve system extensibility. A residential eco-city case demonstrates the method. Energy performance achieves the highest score (9.7), whereas future value is lowest (8.4); environmental protection, health and user value score 9.4, 9.3 and 8.9, respectively. Results indicate that PBGBAS supports more operational, adaptable and performance-oriented green building evaluation.

Keywords: performance-based assessment; energy performance; benchmark database; modular rating tool; regional calibration; PBGBAS.

DOI: 10.1504/IJICT.2026.155121

International Journal of Information and Communication Technology, 2026 Vol.27 No.83, pp.1 - 18

Received: 10 Dec 2025
Accepted: 19 Jan 2026

Published online: 27 Jul 2026 *