Datasets for residential GSHP analysis by climate in the United States

被引:0
|
作者
Neves, Rebecca [1 ]
Cho, Heejin [1 ]
Zhang, Jian [2 ]
机构
[1] Mississippi State Univ, Dept Mech Engn, POB 9552, Mississippi State, MS 39762 USA
[2] Univ Wisconsin Green Bay, Richard J Resch Sch Engn, Green Bay, WI 54311 USA
来源
DATA IN BRIEF | 2020年 / 33卷
关键词
Geothermal; Residential; United States; EnergyPlus (TM) Heat pump coefficient generator; Water-to-air heat pump; Ground source;
D O I
10.1016/j.dib.2020.106523
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States [1,2]. Geothermal heat pump coefficients were generated as inputs to EnergyPlus (TM) simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlusTM using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The ground source heat pump (GSHP) home energy use by city was generated from EnergyPlusTM and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system. Reuse potential for heat pump coefficients and home energy use analysis is strong. (C) 2020 The Author(s). Published by Elsevier Inc.
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