Panel 10 spans the duration of the ACEEE conference and incorporates many sessions.
The methods and outcomes of getting to net zero are proven but they remain a very minor portion of the building stock. Panel 10 will share solutions to move beyond the 1% by making them ‘easy and enticing.’ The panel addresses four areas with examples of topics as follows:
1. Building Solutions: Integrated design approaches; Tools for increasing Net Zero design and adoption; Data and case studies; Performance modeling, prediction and evaluation; Innovative and leading edge technologies and strategies; Markets and motivations for zero energy buildings; Cost and finances; Controls and load shaping for net zero; Operations and occupancy; On-site renewable generation
2. Aggregated Solutions: Community, Campus, and Portfolio Scale; Microgrids and nanogrids for net zero campuses and buildings; Corporate portfolios
3. Policies and Regulations: City, State, and Federal policies, codes and standards; Definitions and policies regarding net zero, renewables, on-site and RECs; GHG and carbon reduction challenges for net zero
4. Utility and Programs: Utility programs for adoption of net zero; Rate design options; Grid integration and impact of net zero; Energy storage and EV charging in the net zero equation; Education and work force training for increasing adoption of net zero.
A critical element of evaluating energy efficiency programs is understanding the target population. Energy efficiency researchers have long relied on surveys, using various delivery methods, to accurately describe population demographics and efficient behaviors. Yet, population characteristics (as estimated through surveys) can be drastically skewed due to differences in coverage and response rates and can ultimately lead to findings and recommendations not reflective of a given target population. As survey delivery methods increasingly move toward online approaches, understanding the manifestation of selection bias between and within surveyed groups is more important than ever.
In this paper, we present a case study that quantifies and reduces selection bias in a recent general population survey deployed using email and online subscription-based panel samples. Comparative analysis of the resulting survey data focuses on the identification of biases through variances in demographic and behavioral responses, such as home types, ownership profiles, and purchasing decisions. Lastly, we discuss how US Census data were used to calibrate the survey data to reduce bias. Ultimately this paper elaborates on the selection bias observed in two different samples, outlines the key considerations when addressing selection bias, and presents one method for reducing the impact of bias.
Itron @ World Gas Conference
Walter E. Washington Convention Centre