Tracking building operational energy and carbon emissions using S-curve trajectories—a prototype tool. (March 2023)

• Record Type: Journal Article
• Authors: Bunn, Roderic; Burman, Esfand; Warne, James; Bull, Jamie; Field, John
• Other Names: Dwyer Tim guest-editor.; Raslan Rokia guest-editor.
• Is Part Of: Building services engineering research & technology. Volume 44:Number 2(2023)
• Page Start: 135
• Page End: 154
• Publication Date: 2023-03
• Subjects: building carbon emission -- building energy estimation -- building energy performance -- soft landings -- visualisation; Buildings -- Environmental engineering -- Periodicals; Buildings -- Environmental engineering -- Research -- Periodicals; Sanitary engineering -- Periodicals; 696.05
• DOI: 10.1177/01436244221145392
• Languages: English
• ISSNs: 0143-6244

Abstract

New and refurbished non-domestic buildings are failing to live up to their anticipated performance. Shortfalls show in excess energy consumption, high carbon dioxide emissions and other failings in quantitative and qualitative performance metrics. This paper describes the component parts of the performance gap using evidence from building performance evaluations. It introduces a way of visualising the consequences of decisions and actions that are known to compromise performance outcomes using a performance curve methodology (the S-curve) which plots performance, and the root causes of underperformance, from project inception to initial operation and beyond. The paper tests the hypothesis with two case studies. It also covers the initial development of a prototype visualisation tool designed to enable live projects to track emerging operational energy and emissions against a high energy and emissions trajectory created from empirical evidence. The tool aims to help practitioners identify key risk factors that could compromise building performance and mitigate these risks at different stages of procurement. Practical application: The Operational Energy and Carbon (OpEC) visualisation tool is designed for wide industrial application, on all sizes of a non-domestic building project, large and small. It aims to visualise the likely outturn energy performance of a project by calculating the penalties for shortcomings in project delivery. The penalties are visualised as weighted trajectories of energy and carbon dioxide emissions. The prototype tool aims to fill a gap between the capabilities of powerful energy modelling tools used in design and the capacity of non-specialist stakeholders to understand the emerging energy characteristics of a project as it moves through procurement, design, construction, and delivery.