Progetto SIMEA - Automatica - Università degli Studi di Padova
Progetto SIMEA - Automatica - Università degli Studi di Padova
Progetto SIMEA - Automatica - Università degli Studi di Padova
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<strong>SIMEA</strong> Stato dell’arte energetica <strong>degli</strong> e<strong>di</strong>fici<br />
1.3.5. HOMER<br />
93<br />
Doc.No 20100610.<strong>SIMEA</strong>.MR.03<br />
Versione 1<br />
Evaluates design options for both off-grid and gridconnected<br />
power systems for remote, stand-alone, and<br />
<strong>di</strong>stributed generation (DG) applications. HOMER's<br />
optimization and sensitivity analysis algorithms allow<br />
you to evaluate the economic and technical feasibility of<br />
a large number of technology options and to account for variation in technology costs and energy resource<br />
availability. HOMER models both conventional and renewable energy technologies.<br />
1.3.5.1. Validation/Testing<br />
Validation results are available upon request.<br />
1.3.5.2. Expertise Required<br />
Basic familiarity with Windows and the technology of small power systems.<br />
1.3.5.3. Users<br />
3000 users in 142 countries. Approximately 1/3 are in the U.S., 1/3 in other OECD countries, and 1/3<br />
in the rest of the world.<br />
1.3.5.4. Au<strong>di</strong>ence<br />
System designers, rural electrification program planners, policy, market and technology analysts for<br />
<strong>di</strong>stributed and small power technologies.<br />
1.3.5.5. Input<br />
Load profiles for the application of interest, renewable resource data (although the software makes<br />
some of that available), local installed costs for technology components.<br />
1.3.5.6. Output<br />
HOMER has a huge quantity of output data in tabular and graphic format, inclu<strong>di</strong>ng sensitivity<br />
analyses, hourly operational data and comparative economics for competing system architectures.<br />
1.3.5.7. Computer Platform<br />
Windows<br />
1.3.5.8. Programming Language<br />
Visual C++<br />
1.3.5.9. Strengths<br />
Compares <strong>di</strong>fferent technologies inclu<strong>di</strong>ng hybrids. Considers storage. Considers seasonal and daily<br />
variations in loads and resources. Designed as optimization model for sensitivity analyses. Performs dozens<br />
of 8760 hour annual simulations per second. Great graphical outputs.<br />
1.3.5.10. Weaknesses<br />
Does not consider intra-hour variability. Does not consider variations in bus voltage.