Solving Seasonal Energy Imbalance: A Quantitative Smart Readiness Indicator for the Dynamic Building Envelope Domain

This dataset supports the article “Solving Seasonal Energy Imbalance: A Quantitative Smart Readiness Indicator for the Dynamic Building Envelope Domain”. It introduces a novel, performance-based Smart Readiness Indicator (SRI) tailored to dynamic envelope behavior. The study also explores how advanced glazing systems—especially quadruple glazing units (QGUs)—can reduce seasonal energy imbalance and grid dependency in buildings.

Research Hypothesis:
1. The introduced SRI for the Dynamic Building Envelope Domain can make qualitative assessment of building envelope performance including also the electrical grid demand seasonal imbalance.
2. High-performance glazing, when combined with local PV generation and battery storage, can passively but dynamically reduce delivered energy and peak power needs. This integration can help buildings meet zero-emission targets more cost-effectively than traditional envelope systems.

Data Summary:
The dataset includes an SQLite database and corresponding CSV exports. Each simulation case is uniquely identified by:
• IDenvelope: building envelope type (see envelopeStructure)
• IDlocation: climate location (see locations)

Table Overview:
• envelopeStructure: defines glazing types and thermal properties (analysis input data)
• locations: contains climate metadata for each case (analysis input data)
• PVpower: hourly PV generation (results of thermal analysis)
• envelopeHeatPower: hourly heating/cooling loads (results of thermal analysis)
• powers_noPV_noBattery: hourly grid exchange without PV or battery
• powers_PVnzeb_noBattery: hourly grid exchange with NZEB-level PV, no battery
• powers_PVnzeb_optimBattery: hourly grid exchange with PV and optimal battery; includes battery level
• PVnzeb_optimBat: required NZEB-level PV and optimal battery sizes for each case
• SRI_PVnzeb_noBattery and SRI_PVnzeb_optimBattery: individual SRI components, total SRI, and energy autarky rate (final results)

Interpretation and Use:
The dataset enables comparison of building envelope solutions across climates and envelope structures (glazings/walls). Hourly data allows load balancing analysis; SRI results quantify energy efficiency and flexibility. The structure supports replication, benchmarking, and design optimization for low-carbon building strategies.