Accelerating the energy retrofit of commercial buildings using a database of energy efficiency performance. (October 2015)

• Record Type: Journal Article
• Authors: Lee, Sang Hoon; Hong, Tianzhen; Piette, Mary Ann; Sawaya, Geof; Chen, Yixing; Taylor-Lange, Sarah C.
• Is Part Of: Energy. Volume 90:Part 1(2015)
• Page Start: 738
• Page End: 747
• Publication Date: 2015-10
• Subjects: High performance computing -- EnergyPlus -- Building simulation -- Energy conservation measure -- Energy modeling -- Retrofit; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2015.07.107
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Small and medium-sized commercial buildings can be retrofitted to significantly reduce their energy use, however it is a huge challenge as owners usually lack of the expertise and resources to conduct detailed on-site energy audit to identify and evaluate cost-effective energy technologies. This study presents a DEEP (database of energy efficiency performance) that provides a direct resource for quick retrofit analysis of commercial buildings. DEEP, compiled from the results of about ten million EnergyPlus simulations, enables an easy screening of ECMs (energy conservation measures) and retrofit analysis. The simulations utilize prototype models representative of small and mid-size offices and retails in California climates. In the formulation of DEEP, large scale EnergyPlus simulations were conducted on high performance computing clusters to evaluate hundreds of individual and packaged ECMs covering envelope, lighting, heating, ventilation, air-conditioning, plug-loads, and service hot water. The architecture and simulation environment to create DEEP is flexible and can expand to cover additional building types, additional climates, and new ECMs. In this study DEEP is integrated into a web-based retrofit toolkit, the Commercial Building Energy Saver, which provides a platform for energy retrofit decision making by querying DEEP and unearthing recommended ECMs, their estimated energy savings and financial payback. Highlights: A DEEP (database of energy efficiency performance) supports building retrofit. DEEP is an SQL database with pre-simulated results from 10 million EnergyPlus runs. DEEP covers 7 building types, 6 vintages, 16 climates, and 100 energy measures. DEEP accelerates retrofit of small commercial buildings to save energy use and cost. DEEP can be expanded and integrated with third-party energy software tools.