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IMPACT OF INTERIOR LIGHTING POWER REDUCTIONS ON COMMERCIAL BUILDING ENERGY USE

机译:室内照明功率降低对商业建筑能耗的影响

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Lighting energy conservation measures arerntypically recommended in commercialrnbui1ding energy audits. Over 60% of therncost in Bonneville Power's commercialrnbuilding energy conservation programs arernrelated to lighting.rnTo estimate lighting energy savings it isrnnot uncommon to ignore detailed energyrnsimulations which account forrninteractions of lighting with heating andrncooling systems and simply multiply hoursrnof use by wattage reduction. This paperrninvestigates the potential error inrnperforming simplified 1ightingrncalculations which ignore interactions.rnA series of computerized hourly energyrnsimulatinos, using the DOE-2.1C program,rnwere conducted on prototypical smallrnoffice and small retail buildings. Forrndifferent interior lighting levels,rnannual energy consumption and lightingrnenergy consumption are estimated. Thernprototypical buildings are modelled withrndifferent configurations, each of whichrnis modelled using the different interiorrn1ighting levels. The energy simulationsrnare performed for four pacific northwestrncities: Seattle, WA, Yakima, WA, NorthrnBend, OR, and Missoula, MT. The samernprototypical buildings were input ontornASEAM-2.1 and modelled using slightlyrndifferent weather data.rnResults show that, regardless of thernsimulation model used, the error inrnperforming a manual calculation tornestimate lighting energy savings variesrnfrom a high of over 125% for a weatherrnsensitive bui1ding in a co1d climate to arnlow of 0% for a weatherized building in arnmoderate climate.rnIt is concluded that for thesernprototypical commercial buildings thernimpact of reductions in interior lightingrnpower on total building energy usage isrnsignificantly different than a simplernone-to-one, relationship. The impactrndepends on several factors such as:rnclimatic location, modelling assumptions
机译:商业建筑能源审核中通常建议使用照明节能措施。在邦纳维尔电力公司的商业建筑节能计划中,有超过60%的成本与照明有关。要估算照明节能量,通常会忽略详细的能源模拟,这些模拟考虑了照明与供暖和制冷系统的相互作用,并通过减少瓦数来简单地使用小时率。本文研究了潜在的错误,这些错误执行简化的1计算方法,而忽略了交互作用。在示例性小型办公室和小型零售建筑物上,使用DOE-2.1C程序对一系列计算机化的小时能源模拟进行了研究。估算了不同的室内照明水平,年能耗和照明能耗。原型建筑采用不同的配置模型建模,每个模型都使用不同的内部安装级别进行建模。能源模拟针对四个太平洋西北城市进行:华盛顿州西雅图市,华盛顿州亚基马市,俄勒冈州北本德市和密苏里州密苏拉州。将相同的原型建筑物输入到ASEAM-2.1中,并使用略有不同的天气数据进行建模。结果表明,无论使用哪种模拟模型,在手动计算中,误差都会导致照明节能的变化,而在气候变化的情况下,对气候敏感的建筑所节省的能量高达125%以上结论:对于典型原型的商业建筑,减少室内照明功率对建筑总能耗的影响与简单一对一的关系有显着差异。影响取决于几个因素,例如:气候位置,建模假设

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