Hot and humid climates with high solar radiation have the potential to offset residential building energy consumption with the application of solar hot water and photovoltaic electricity generation. However, costs, lack of incentives for the systems, and the need for proof-of-concepts continue to limit market penetration. The surplus of natural gas in certain areas of the United States, particularly Texas, continues to keep gas and electricity production economical compared to solar alternatives. However, trends that demand lower energy homes, a desire for local energy independence, and the lowering of carbon dioxide emissions continue to fuel solar energy systems penetration. To support solar use, this research was performed to evaluate and analyze the real-world life cycle energy and costs of a solar photovoltaic and solar hot water system (SHWS) installed on a high-end residential home in Houston, TX (IECC Zone 2). The house was a well-insulated, large urban home with two renewable energy systems installed: a 3.5 kW solar photovoltaic system (SPVS) and a 1.71 kW solar hot water system. Analyses were part of a larger study performed to investigate the contributions of the solar energy offsets on the operational energy of the building over a life cycle period of 30-years. Field measurements of energy production were compared to solar energy simulations based on the typical meteorological year and the National Solar Radiation Database (NSRDB) data. NSRDB provided the basis for a probabilistic interpretation of annual energy production in terms of probability measures, P50/P90. It was found that field estimates were within simulation uncertainties and P90 predictions were within 2.5% of TMY3 (typical meteorological year data 3) results for both the solar photovoltaic system (SPVS) and solar hot water system (SHWS). Additionally, optimizations in the system design and life cycle costs were investigated to determine the annual optimal performance for the solar energy systems. The SHWS was installed at a less than optimum azimuth of 270° instead of 180° (corresponding to a 16% reduction in annual output). The SPVS was installed at optimal design conditions of 180° azimuth and 42° tilt. Payback and levelized cost of energy (LCOE) could have been minimized with the addition of another solar hot water collector with a minimal impact to overall cost. Cost sensitivity analysis on the LCOE and net-present value (NPV) were also performed and over a 30-year life cycle period, TMY3 based simulations predicted a NPV of $796 (21.8-year non-discounted payback) and -$1246 (29.2-year non-discounted payback) for the SHWS and SPVS, respectively. The SHWS achieved a LCOE of 8.1 ¢/kWh, while the value for the SPVS was 12.29 ¢/kWh. For the SPVS, the photovoltaic module and collector costs were the largest life cycle costs, and of special note, a reduction in the module cost by 67% reduces the LCOE to the market average-high electricity price of 10 ¢/kWh. Finally, the combined renewable energy systems generated an estimated 30-year life-cycle energy production of 184 814 kWh, with auxiliary gas provided for supplemental hot-water heating. On average, a Texas residential home utilizes 420 000 kWh of electrical energy, 19% of which is domestic hot water demand.

1.
Adams
,
P. A.
, Maxim, Inc., Calibration of DS18S20, personal email correspondence, Director of Quality and Reliability Assurance (
2012
).
2.
Blair
,
N.
,
Dobos
,
A.
,
Freeman
,
J.
,
Neises
,
T.
,
Wagner
,
M.
,
Ferguson
,
T.
,
Gilman
,
P.
, and
Janzou
,
S.
,
“System advisor model, SAM 2014.1.14, General Description
,”
NREL Report No. TP-6A20-61019
, National Renewable Energy Laboratory, Golden, CO,
2014
.
3.
Blair
,
N.
,
Dobos
,
A.
, and
Sather
,
N.
, “
Case studies comparing system advisor model (SAM) results to real performance data
,”
Report No. NREL/CP-6A20-54676
, National Renewable Energy Laboratory, Golden, CO,
2012
.
4.
Burch
,
J.
and
Christensen
,
C.
,
Towards Development of an Algorithm for Mains Water Temperature
(
National Renewable Energy Laboratory
,
Golden, CO
,
2007
).
5.
Dobos
,
A.
and
Gilman
,
P.
, “
P50/P90 analysis for solar energy systems using the systems advisor model
,” in
2012 World Renewable Energy Forum, Denver, Colorado
, 13–17 May (
2012
).
6.
Duffie
,
J. A.
and
Beckman
,
W. A.
,
Solar Engineering for Thermal Processes
, 4th ed. (
John Wiley & Sons, Inc.
,
Hoboken, NJ
,
2013
).
8.
Dunlop
,
E. D.
and
Halton
,
D.
,
“The performance of crystalline silicon photovoltaic solar modules after 22 years of continuous outdoor exposure
,”
Prog. Photovoltaics: Res. Appl.
14
(
1
),
53
64
(
2006
).
9.
Enphase Energy Inc.
, http://enphase.com/global/files/Envoy_Installation_and_Operation_NA.pdf for Envoy Installation and Operation, 141099911 Rev 05,
2014
.
10.
Freeman
,
J.
,
Whitmore
,
J.
,
Kaffine
,
L.
,
Blair
,
N.
, and
Dobos
,
A. P.
, http://www.osti.gov/scitech/servlets/purl/1115788 for System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report,
2013
.
11.
Freeman
,
J.
,
Whitmore
,
J.
,
Kaffine
,
L.
,
Blair
,
N.
, and
Dobos
,
A.
, “
Validation of multiple tools for flat plate photovoltaic modeling against measured data
,”
Report No. NREL/TP-6A20-61497
, National Renewable Energy Laboratory, Golden, CO,
2014
.
12.
Griffin
,
R. C.
,
Water Resource Economics, the Analysis of Scarcity, Policies and Projects
(
MIT Press
,
2006
).
13.
Hang
,
Y.
,
Qu
,
M.
, and
Zhao
,
F.
, “
Economic and environmental life cycle analysis of solar hot water systems in the United States
,”
Energy Build.
45
,
181
188
(
2012
).
14.
Hitchcock
,
D.
,
Cool Houston! A Plan for Cooling the Region
(
Houston Advanced Research Center
,
2004
).
15.
Hobbi
,
A.
and
Siddiqui
,
K.
, “
Optimal design of a forced circulation solar water heating system for a residential unit in cold climate using TRNSYS
,”
Sol. Energy
83
(
5
),
700
714
(
2009
).
16.
Kalogirou
,
S.
, “
Thermal performance, economic and environmental life cycle analysis of thermosiphon solar water heaters
,”
Sol. Energy
83
(
1
),
39
48
(
2009
).
17.
Kovacs
,
P.
,
Quality Assurance in Solar Thermal Heating and Cooling Technology—Keeping Track with Recent and Upcoming Developments—A Guide to the Standard EN
12975 (
Technical Research Institute of Sweden (TRIS)
,
Boras, Sweden
,
2012
).
19.
Li
,
D. H.
,
Yang
,
L.
, and
Lam
,
J. C.
, “
Zero energy buildings and sustainable development implications–A review
,”
Energy
54
,
1
10
(
2013
).
20.
Marszal
,
A. J.
,
Heiselberg
,
P.
,
Bourrelle
,
J. S.
,
Musall
,
E.
,
Voss
,
K.
,
Sartori
,
I.
, and
Napolitano
,
A.
, “
Zero energy building—A review of definitions and calculation methodologies
,”
Energy Build.
43
(
4
),
971
979
(
2011
).
21.
Mathioulakis
,
E.
,
Panaras
,
G.
, and
Belessiotis
,
V.
, “
Uncertainty in estimating the performance of solar thermal systems
,”
Sol. Energy
86
,
3450
3459
(
2012
).
22.
Mathioulakis
,
E.
,
Voropoulos
,
K.
, and
Belessiotis
,
V.
, “
Assessment of uncertainty in solar collector modeling and testing
,”
Sol. Energy
66
(
5
),
337
347
(
1999
).
23.
Miggins
,
J.
, Harvest Solar, Personal email correspondence with James F. Sweeney (12 November
2014
).
24.
NREL
, https://sam.nrel.gov/about for System Advisor Model (SAM), About, National Renewable Energy Laboratory, Golden, CO,
2014
.
25.
NREL
,
System Advisor Model (SAM), Version 2015.1.30
(
National Renewable Energy Laboratory
,
Golden, CO
,
2015
).
26.
Realini
,
A.
,
Burà
,
E.
,
Cereghetti
,
N.
,
Chianese
,
D.
, and
Rezzonico
,
S.
, “
Mean time before failure of photovoltaic modules (MTBF-PVm) annual report 2002
,” Project No. BBW 99.0579, Swiss Federal Office of Energy (SFOE), Stuttgart, Switzerland,
2002
.
27.
Rose
,
L. S.
,
Akbar
,
H.
, and
Taha
,
H.
,
Characterizing the Fabric of the Urban Environment: A Case Study of Greater Houston, Texas
(
Lawrence Berkeley National Laboratory
,
Berkeley, CA
,
2003
).
28.
Rudie
,
E.
,
Thornton
,
A.
,
Rajendra
,
N.
, and
Kerrigan
,
S.
, http://locusenergy.com/WhitePapers/sam-modeling-accuracy/ for System Advisor Model Performance Modeling Validation Report: Analysis of 100 sites; accessed Visited 9 March 2015,
2014
.
37.
Short
,
W.
,
Packey
,
D. J.
, and
Holt
,
T.
, “
A manual for the economic evaluation of energy efficiency and renewable energy technologies
,”
Technical Report No. NREL/TP-462-5173
, National Renewable Energy Laboratory, Golden, CO,
1995
.
30.
Skoczek
,
A.
,
Sample
,
T.
, and
Dunlop
,
E. D.
, “
The results of performance measurements of field-aged crystalline silicon photovoltaic modules
,”
Prog. Photovoltaics: Res. Appl.
17
,
227
240
(
2009
).
31.
Thevenard
,
D.
and
Pelland
,
S.
, “
Estimating the uncertainty in long-term photovoltaic predictions
,”
Sol. Energy
191
,
432
445
(
2011
).
32.
US DOE
, Office of Energy Efficiency and Renewable Energy, http://www.energy.gov/eere/buildings/zero-energy-ready-home for Zero Energy Ready Home,
2014b
.
33.
US EIA
, http://www.eia.gov/consumption/residential/reports/2009/state_briefs/pdf/tx.pdf for Household Energy Use in Texas; accessed June 2015,
2009
.
34.
Vignola
,
F.
,
Grover
,
C.
,
Lemon
,
N.
, and
McMahan
,
A.
, “
Building a bankable solar radiation dataset
,”
Sol. Energy
86
(
8
),
2218
2229
(
2012
).
35.
Wilcox
,
S.
and
Marion
,
W.
, “
User's manual for TMY3 data sets, NREL technical report
,”
Report No. NREL/TP-581-43156
, National Renewable Energy Laboratory, Golden, CO,
2008
.
36.
Wohlgemuth
,
J. H.
,
Cunningham
,
D. W.
,
Monus
,
P.
,
Miller
,
J.
, and
Nguyen
,
A.
, “
Long term reliability of photovoltaic modules
,” in
Conference Record of the 2006 IEEE 4th World Conference on Photovoltaic Energy Conversion
(
2006
), Vol. 2, pp.
2050
2053
.
You do not currently have access to this content.