To better identify how to reduce peak demand charges for a university campus, we investigated the relationship between individual building peak demand and the campus peak energy use by evaluating the pattern of energy use across time and day. To facilitate this evaluation, we developed a pivot table analysis tool that enables ready cross-building comparisons in a visually intuitive display. We used a university campus as an example to facilitate potential peak demand charge savings based on analysis of which buildings contribute to peak energy demand, and understanding the factors contributing to that building-dependent energy demand. (C) 2014 The Authors. Published by Elsevier B.V.