Parametric Models for Predicting Life Cycle Energy, Cost & Carbon Implications o

Parametric models for predicting life cycle energy, cost, and carbon implications of refurbishment in schools and offices

Session 8 Paper 1, CIBSE Technical Symposium, Liverpool John Moores University, Liverpool
11-12 April 2013

This paper presents a life cycle cost (LCC) and life cycle carbon footprint (LCCF) of energy-efficient refurbishment measures (ERMs), and a parametric model of energy use. Simulations of 1 400 packages of ERMs are conducted for one school and one office. ERMs include efficient boilers, insulation upgrades, window replacement, and reduced infiltration. Each package is subjected to LCC and LCCF analysis. From these results a parametric model of energy use was created for each building.

Key findings:
- Lost floor area greatly increases LCC of internal wall insulation
- Heating plant upgrades are the most cost- and carbon-efficient measure
- Heating plant upgrades reduce savings from other ERMs, while combining insulation ERMs increases savings
- Parametric models can provide good estimates of energy savings from ERMs without additional simulation