Improving energy benchmarking with self-reported data

Hsu, D (2014) Improving energy benchmarking with self-reported data. Building Research & Information, 42(5), pp. 641-656. ISSN 0961-3218

Abstract

Energy benchmarking for buildings has become increasingly important in government policy and industry practice for energy efficiency. The questions of how energy benchmarking is currently conducted, and how it might be improved using rapidly growing quantities of self-reported data, are examined. A case study of commercial office buildings in New York City demonstrates how the rapid growth in self-reported data presents both new opportunities and challenges for energy benchmarking for buildings. A critique is presented for the scoring methodology and data sources for Energy Star, one of the largest and most successful benchmarking certification schemes. Findings from recent studies are examined to illustrate how this certification currently works in the marketplace. Self-reported building energy data are rapidly growing in Portfolio Manager (the user interface to Energy Star) due to mandatory energy benchmarking laws, and can be used to improve Energy Star's current scoring methods. These self-reported data are tested and improved for analysis by applying theories and methods of data quality developed in computer science, statistics and data management. These new data constitute a critical building block for the development of energy efficiency policies, and will affect how government, consultants, and owners measure and compare building energy use.

Item Type: Article
Uncontrolled Keywords: benchmarking; building stock; buildings; data quality; disclosure; energy performance; energy star; evidence base; policy implementation
Index terms: energy performance, statistics, benchmarking, government policy, policy implementation, methodology, evidence, data management, commercial office, owner, user interface, energy star, science, building stock, New York, critique, energy efficiency, building energy use, manager, energy benchmarking, certification, energy efficiency policy, case study
Subjects: energy systems, sustainability and energy, public policy, specialized education, practitioner, construction type, data collection methods, evaluation and assessment methods, policy studies, mathematical modelling, human-computer interaction, administrative processes, data management, sociology, asset management, Geography, performance measurement, research methods
Topics: Roles and Professions, Stakeholder Management, Construction Technology, Governance, Sustainability, Business Strategy, Geographical Context, Research Practice, Engineering Principles, Education, Contract Administration, Digital Applications, Quality Management
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here