Selected & Influential Publications

This page highlights a selection of my most influential publications — works that have contributed substantially to the understanding of building performance analysis, thermal/energy behaviour, building simulation, and climate‑related performance risks. These publications reflect long‑term research themes that run throughout my academic career: the integration of modelling and simulation into architectural design, the quantification of performance gaps, and the advancement of rigorous, evidence‑based approaches to building performance. A complete list of all publications is available on the Full Publication List page.

Building Performance Analysis (Wiley‑Blackwell, 2018)

Seminal research monograph — 640 pages, 1600+ references
This book provides a comprehensive and systematic overview of the field of building performance analysis. Widely used by PhD students, researchers, and advanced practitioners, it presents theoretical foundations, methodological frameworks, and practical applications for evaluating building performance across the entire lifecycle. Endorsed by IBPSA as only the second monograph ever recognised by the association.

Building Performance Basics (2022, 1st & 2nd editions)

A concise 80‑page primer on building performance
Aimed at BSc/MSc students and early‑career professionals, this book explains the “Why/What/Where/When/Who/How” of building performance in accessible language. It serves as a bridge between hands‑on tools (simulation, monitoring, surveys) and the broader systems thinking required of building performance champions in practice.

Energy Modelling (Chapter in the Handbook of Sustainable Building Design and Engineering, 2019)

Co‑authored with Godfried Augenbroe, this chapter provides a broad yet deep overview of building energy modelling, simulation tools, methodological challenges, and the role of modelling in sustainable building design.

PhD Thesis: Computational Support for the Selection of Energy Saving Building Components (2004)

Doctoral thesis exploring the role of building simulation in the design of energy‑efficient buildings, combining work at TU Delft, ECN and GeorgiaTech.

The gap between predicted and measured energy performance of buildings

de Wilde, P. (2014). Automation in Construction, 41, 40–49.
A landmark framework paper defining and clarifying the “energy performance gap.” Serves as a theoretical and methodological reference point for subsequent research on prediction accuracy, model calibration, and empirical validation.

Intelligent computing for building performance analysis

de Wilde, P. (2018). In: Lecture Notes in Computer Science: Advanced Computing Strategies for Engineering.
This chapter examines the intersection of intelligent computing and building performance simulation, highlighting early integration of AI, optimisation, and computational reasoning in building analysis workflows.

Management of thermal performance risks in buildings subject to climate change

de Wilde, P., & Tian, W. (2012). Building and Environment, 55, 167–177.
Explores probabilistic and risk‑based approaches to building thermal performance under future climate scenarios — a key contribution to climate‑robust building design.

Longitudinal prediction of the operational energy use of buildings

de Wilde, P., Tian, W., & Augenbroe, G. (2011). Building and Environment, 46(8), 1670–1680.
Develops longitudinal modelling approaches to predict operational energy use over time, accounting for degradation, uncertainty, and changing use conditions.