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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 />

56<br />

Doc.No 20100610.<strong>SIMEA</strong>.MR.03<br />

Versione 1<br />

and operational attribution is achieved by selecting products and entities from the support databases and<br />

associating these with the surfaces and spaces comprising the problem. Models can be further attributed to<br />

account for temporal sha<strong>di</strong>ng and insulation patterns, explicit ra<strong>di</strong>ation view factors, facade-integrated<br />

photovoltaic modules, temperature dependent thermo physical properties and CFD domains. As required,<br />

component networks can be defined to represent, for example, HVAC systems, <strong>di</strong>stributed fluid flow (for the<br />

buil<strong>di</strong>ng-side air or plant-side working fluids) and electrical <strong>di</strong>stribution systems.<br />

Simulations: with ESP-r functionality follows description - simple models and operating regimes<br />

composed in a few minutes can be extended, in steps, to encompass the simultaneous solution of fabric<br />

(1/2/3D), air flow (network and/or coupled, transient CFD), electrical power, embedded renewables, plant<br />

system components, indoor air quality and lighting assessments via Ra<strong>di</strong>ance. Buil<strong>di</strong>ng and flow simulations<br />

can be undertaken at frequencies of one minute to one hour and system simulations can be from fractions of<br />

a second to an hour.<br />

1.2.28.6. Output<br />

Results analysis modules are used to view the simulation results, undertake a variety of performance<br />

appraisals and explore the interactions between assessment domains. Tools are provided to enable the<br />

construction of an Integrated Performance View which summaries performance over a range of relevant<br />

criteria. Changes to the model parameters can then follow depen<strong>di</strong>ng on these appraisals. The range of<br />

analyses is essentially unrestricted and data can be exported to other analysis and graphing tools.<br />

1.2.28.7. Computer Platform<br />

Sun-Solaris, Silicon Graphics: Sparc5 or newer, 96+MB memory.<br />

Linux (Redhat/ Mandrake/ SUSE etc): Pentium or newer, 128+MB memory.<br />

Mac OS X 10.1 or newer, 128+MB memory.<br />

Windows NT/2000/XP (graphic mode running under Cygwin), Pentium or newer, 128+MB memory.<br />

Windows NT/2000/XP (console application for batch processing), Pentium or newer, 128+MB memory.<br />

Disk requirements: ~12MB source <strong>di</strong>stribution, ~200MB executables/libraries/example problems, 50-<br />

500MB user project folders.<br />

1.2.28.8. Programming Language<br />

C and FORTRAN (F77 or F90) Compiles with most Unix and Linux compilers, GNU compilers and<br />

MINGW.<br />

1.2.28.9. Strengths<br />

ESP-r is flexible and powerful enough to simulate many innovative or lea<strong>di</strong>ng edge technologies<br />

inclu<strong>di</strong>ng daylight utilization, natural ventilation, combined heat and electrical power generation and<br />

photovoltaic facades, CFD, multi-grid<strong>di</strong>ng, and control systems. An active user community and mailing list<br />

ensures a quick response to technical issues.<br />

1.2.28.10. Weaknesses<br />

It is a general purpose tool and the extent of the options and level of detail slows the learning process.<br />

Specialist features require knowledge of the particular subject. Although robust and used for consulting by<br />

some groups, ESP-r still shows its research roots.

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