Progetto SIMEA - Automatica - Università degli Studi di Padova

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SIMEA Stato dell’arte energetica degli edifici 56 Doc.No 20100610.SIMEA.MR.03 Versione 1 and operational attribution is achieved by selecting products and entities from the support databases and associating these with the surfaces and spaces comprising the problem. Models can be further attributed to account for temporal shading and insulation patterns, explicit radiation view factors, facade-integrated photovoltaic modules, temperature dependent thermo physical properties and CFD domains. As required, component networks can be defined to represent, for example, HVAC systems, distributed fluid flow (for the building-side air or plant-side working fluids) and electrical distribution systems. Simulations: with ESP-r functionality follows description - simple models and operating regimes composed in a few minutes can be extended, in steps, to encompass the simultaneous solution of fabric (1/2/3D), air flow (network and/or coupled, transient CFD), electrical power, embedded renewables, plant system components, indoor air quality and lighting assessments via Radiance. Building and flow simulations can be undertaken at frequencies of one minute to one hour and system simulations can be from fractions of a second to an hour. 1.2.28.6. Output Results analysis modules are used to view the simulation results, undertake a variety of performance appraisals and explore the interactions between assessment domains. Tools are provided to enable the construction of an Integrated Performance View which summaries performance over a range of relevant criteria. Changes to the model parameters can then follow depending on these appraisals. The range of analyses is essentially unrestricted and data can be exported to other analysis and graphing tools. 1.2.28.7. Computer Platform Sun-Solaris, Silicon Graphics: Sparc5 or newer, 96+MB memory. Linux (Redhat/ Mandrake/ SUSE etc): Pentium or newer, 128+MB memory. Mac OS X 10.1 or newer, 128+MB memory. Windows NT/2000/XP (graphic mode running under Cygwin), Pentium or newer, 128+MB memory. Windows NT/2000/XP (console application for batch processing), Pentium or newer, 128+MB memory. Disk requirements: ~12MB source distribution, ~200MB executables/libraries/example problems, 50- 500MB user project folders. 1.2.28.8. Programming Language C and FORTRAN (F77 or F90) Compiles with most Unix and Linux compilers, GNU compilers and MINGW. 1.2.28.9. Strengths ESP-r is flexible and powerful enough to simulate many innovative or leading edge technologies including daylight utilization, natural ventilation, combined heat and electrical power generation and photovoltaic facades, CFD, multi-gridding, and control systems. An active user community and mailing list ensures a quick response to technical issues. 1.2.28.10. Weaknesses It is a general purpose tool and the extent of the options and level of detail slows the learning process. Specialist features require knowledge of the particular subject. Although robust and used for consulting by some groups, ESP-r still shows its research roots.
SIMEA Stato dell’arte energetica degli edifici 1.2.29. FEDS 57 Doc.No 20100610.SIMEA.MR.03 Versione 1 Provides a comprehensive method for quickly and objectively identifying energy improvements that offer maximum savings. FEDS (Facility Energy Decision System) makes assessments and analyzes energy efficiency of single buildings, multiple buildings, or all buildings of an entire facility. It provides an easy-to-use tool for identifying energy efficiency measures, selecting minimum life-cycle costs, determining payback, and enabling users to prioritize retrofit options and compare alternative financing options (site funding, leases, loans, ESPCs). FEDS also evaluates whether decentralization options are economically optimal for central energy plants and thermal loops. 1.2.29.1. Expertise Required Minimal using readily available information. Requires two or more hours depending on number of buildings. 1.2.29.2. Users Over 1,500 1.2.29.3. Audience Energy and facility managers, architects-engineers, utility planners, building technology researchers, educators, federal agencies, and energy consultants. 1.2.29.4. Input Location, building types, operating hours, age, square footage, fuels used by facility and energy price data are required. Numerous detailed engineering parameters are optional. 1.2.29.5. Output Fuel-neutral analysis with full life-cycle costing of retrofit options (ECMs) for the on-site buildings. Output data includes energy and cost savings, emissions reductions, and a wide range of economic measures. 1.2.29.6. Computer Platform PC-compatible, operating Windows NT/2000/XP/Vista. 1.2.29.7. Programming Language C 1.2.29.8. Strengths Allows but does not require input of engineering parameters. Energy/economic analysis. Models peak demand. Optimizes retrofit opportunities. Performs analysis that meets unique Federal needs. Provides emissions impacts. Accepts an unlimited number of buildings. Considers decentralization for central energy plants and thermal loops. Engineering and economic parameters provided are user adjustable. 1.2.29.9. Weaknesses Not a building design tool.
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Progetto SIMEA - Automatica - Università degli Studi di Padova

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