Computational Model Library

Neighbor Influenced Energy Retrofit (NIER) agent-based model (1.0.0)

The NIER model is intended to add qualitative variables of building owner types and peer group scales to existing energy efficiency retrofit adoption models. The model was developed through a combined methodology with qualitative research, which included interviews with key stakeholders in Cleveland, Ohio and Detroit and Grand Rapids, Michigan. The concepts that the NIER model adds to traditional economic feasibility studies of energy retrofit decision-making are differences in building owner types (reflecting strategies for managing buildings) and peer group scale (neighborhoods of various sizes and large-scale Districts). Insights from the NIER model include: large peer group comparisons can quickly raise the average energy efficiency values of Leader and Conformist building owner types, but leave Stigma-avoider owner types as unmotivated to retrofit; policy interventions such as upgrading buildings to energy-related codes at the point of sale can motivate retrofits among the lowest efficient buildings, which are predominantly represented by the Stigma-avoider type of owner; small neighborhood peer groups can successfully amplify normal retrofit incentives.

spatial_dist_of_EE.JPG

Release Notes

The program was created with Netlogo version 5.3.1, which can be freely downloaded from https://ccl.northwestern.edu/netlogo/.

For NetLogo: Wilensky, U. (1999). NetLogo. https://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

Associated Publications

For a more detailed explanation of the NIER model and its contribution to understanding energy retrofit decision-making , see Investing in the Future by Encouraging Energy Retrofits (Boria, 2020) .

Neighbor Influenced Energy Retrofit (NIER) agent-based model 1.0.0

The NIER model is intended to add qualitative variables of building owner types and peer group scales to existing energy efficiency retrofit adoption models. The model was developed through a combined methodology with qualitative research, which included interviews with key stakeholders in Cleveland, Ohio and Detroit and Grand Rapids, Michigan. The concepts that the NIER model adds to traditional economic feasibility studies of energy retrofit decision-making are differences in building owner types (reflecting strategies for managing buildings) and peer group scale (neighborhoods of various sizes and large-scale Districts). Insights from the NIER model include: large peer group comparisons can quickly raise the average energy efficiency values of Leader and Conformist building owner types, but leave Stigma-avoider owner types as unmotivated to retrofit; policy interventions such as upgrading buildings to energy-related codes at the point of sale can motivate retrofits among the lowest efficient buildings, which are predominantly represented by the Stigma-avoider type of owner; small neighborhood peer groups can successfully amplify normal retrofit incentives.

Release Notes

The program was created with Netlogo version 5.3.1, which can be freely downloaded from https://ccl.northwestern.edu/netlogo/.

For NetLogo: Wilensky, U. (1999). NetLogo. https://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.

Version Submitter First published Last modified Status
1.0.0 Eric Boria Fri Apr 3 02:19:28 2020 Thu Apr 9 06:00:36 2020 Published Peer Reviewed https://doi.org/10.25937/vswm-kj84

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept