Frameworks for Assessing Energy Efficiency Measures

Andrew DeGuire
Vice President of Business Development & Global Growth, Building Efficiency, Johnson Controls, Inc.
A Framework for Intelligent Building Efficiency

Improved building efficiency lowers operating costs and improves asset reliability. Simple payback and net present value are common methods for making return on investment (ROI) decisions for building efficiency improvements. This presentation highlights 58 “building intelligence measures” applied at a reference building in Arlington, VA. Presenter Andrew DeGuire, Vice President of Business Development and Global Growth at Johnson Controls will present a financial and decision-making framework and the 58 measures that can be applied to any building in any location once it has been adjusted for building structural differences and the energy and labor costs of the location.

Prof. H. Ezzat Khalifa
NYSTAR Distinguished Professor of Mechanical & Aerospace Engineering and founding Director of the multi-institutional STAR Center for Environmental Quality Systems at Syracuse University
Thermo-economic Assessment of Data Center Energy Efficiency Measures

Data centers are a major consumer of electricity in the US, accounting for over 2% of the total US electricity consumption, and growing in recent years at a compound annual growth rate of ~6%. Nowadays, the total cost of data center ownership is dominated by electricity costs, and wide-ranging efforts are underway to improve data center energy efficiency, including the use of detailed modeling and simulation tools to assess the relative energy efficiency, economic and environmental impacts of various energy efficiency measures. In this presentation we discuss data center energy efficiency measures, describe tools developed by SU in collaboration with IBM to assess their thermo-economic benefits, and show examples of the application of these tools.