DOE-2 supplement: Version 2.1E

Abstract

Heating and Cooling Programme. We thank Gregg Ander of SCE and Michael Wommack of PG&E for initiating the enhancements in D0E-2.1E. The desiccant cooling, engine-driven chiller, and gas-fired absorption chiller models in DOE-2.ID and the integrated desiccant cooling models in DOE-2.IE were developed in collaboration with Robert Henninger of ElectroCom GARD, Ltd., and Douglas Kosar of GRI. The gas heat pump model, PWT model, and ECONOMICS enhancements in DOE-2.IE were developed in collaboration with Robert Henninger of ElectroCom GARD, Ltd. and Neil Leslie of GRI.Jeff Hirsch and Steve Gates of Hirsch & Associates, Camarillo, CA, were responsible for development, implementation, and documentation of the following new features in DOE-2.IE: enhancements to the water loop heat pump system, water-cooled condenser option for packaged units, electric and fuel meters, PWT system, gas heat pumps, and upgraded utility rate structures in ECONOMICS. The new Window Library and the implementation of the WINDOW-4 heat transfer calculations in DOE-2.1E are the result of a collaboration with D.K. Arasteh, M.S. Reilly, and W.L. Carroll of the LBL Building Technologies Program. The electrochromic glazing entries in the Window Library were prepared by M.D. Rubin, D.L. Hopkins, and E.U. Finlayson of the LBL Building Technologies Program. Steven D. Gates was the principal consultant for the Plant Cogeneration and the Refrigerated Case Work algorithms in 2.1 C.

The energy-savings potential of electrochromic windows in the UScommercial buildings sector

“…Building energy simulations of commercial window systems were performed using the DOE-2.1E building energy simulation program [12]. The DOE-2.1E program is the building industry standard that requires as input a geometrical description of the building and a physical description of the building construction, mechanical equipment, end-use load schedules, utility rates, and hourly weather data to determine the energy consumption of the building.…”

Bayesian calibration of building energy models with large datasets

“…• DOE-2 (Winkelmann et al, 1993): a building energy simulation tool that predicts the hourly energy use of a building given hourly weather information, and a description of the building's geometry and HVAC system. Funded by the U.S. Department of Energy, DOE-2 has been extensively used in the past with more than 20 interfaces created to make it easier to use (Crawley et al, 2008).…”

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

“…The software allows the user to select discrete options for various building variables regarding building envelope and HVAC systems and calculates energy savings with respect to a user-defined reference case or a climatespecific Building America Benchmark [158,159]. Regarding energy simulation, BEopt™ can use as simulation engine either DOE-2 [160] or TRNSYS [161] and the optimisation is executed by a sequential search technique in order to find the most cost effective combination of energy efficient measures and photovoltaic systems [8]. The software rapidly provides the user a design space (or problem space); however the proposed design space and the selectable objective functions are limited.…”