Abstract
This study investigates the energy and cost performance of thirtyrecent buildings in Melbourne, Australia. Commonly, buildingdesign decisions are based on issues pertaining to constructioncost, and consideration of energy performance is made onlywithin the context of the initial project budget. Even where energyis elevated to more importance, operating energy is seen asthe focus and embodied energy is nearly always ignored. Forthe fi rst time, a large sample of buildings has been assembledand analysed to improve the understanding of both energy andcost performance over their full life cycle. The aim of this paperis to determine the relationship between energy and cost usingregression analysis for a range of building functional types.The conclusion is that energy and cost are strongly correlated,independent of building area, and equations are presented forfuture modelling of energy using cost as the independent variable.
Highlights
Energy has become a significant issue worldwide
Since the energy crisis of the mid-1970s attention has been directed towards strategies that lower operating energy demand (Robertson, 1991), yet it has been only recently that the impact of energy embodied in building materials themselves has come under scrutiny
The rationale behind this paper firmly lies with the perceived lack of integration of energy analysis into current practice
Summary
Energy has become a significant issue worldwide. Greenhouse gas emissions (GGE) and the perceived threat of climate change (caused by phenomena such as global warming and ozone depletion) is identified by Beggs (2002; p.10) as driving, “more than any other issue”, change in energy consumption attitudes. Published research about the relationship between energy and cost is largely confined to a few studies (Costanza, 1980; Costanza, 1984; Lavine and Butler, 1982; Oka et al, 1993; Ding, 2004). These are explored in more detail below. Costanza (1980) adapt input-output analysis to calculate the total (direct plus indirect) energy required to produce goods and services in the U.S economy. Embodied energy intensities can be calculated in this case by using input-output data
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