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The NYSERDA report explicitly calls out the plug loads category.
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This discrepancy stems directly from the PHI assumptions for residential plug loads and lighting.įigure 1: Annual Source Energy by end use and Protocol (Using EPA Portfolio Manager Site-to-Source Conversions) As shown in Figure 1 below, the difference in results between protocols is substantial.įor example, the PHI protocol estimate for source energy usage is nearly half of the Appendix G cases. The Base Case and Packages A-C have prescriptive envelope and mechanical systems, but some assumptions such as occupancy, residential plug loads and residential lighting patterns vary based on the different modeling protocols from each organization. Note: There neither was nor is an expectation that the three different methods would yield equal energy usage estimates because each protocol has different assumptions for operating conditions.
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You can also review a fully detailed description and full PDF version of the NYSERDA report here. The five design cases created and modeled using the three tools and protocols described above are listed below. This case study emulated a typical high-rise multifamily building designed and constructed in New York State based on the DOE/PNNL Prototype Models. The goal of the study is to create equivalent building performance targets for each certification program with the intent that the submitted projects achieve similar energy performance to qualify for incentives offered through NYSERDA’s new MF NCP, regardless of which energy modeling tool and protocol are followed. The study is part of NYSERDA’s exploration of alternative approaches and standards to promote high-performance buildings to supplement the ENERGY STAR® Multifamily High-Rise (MFHR) program, which NYSERDA has supported in the past. This program follows the goal of 40% reduction in greenhouse gas emissions that New York State set as part of the Clean Energy Fund (CEF), one of the pillars of the Reforming the Energy Vision (REV) program launched in 2014. NYSERDA conducted the study to compare standards and methodologies to inform its development of the Multifamily New Construction Program (MF NCP). The results of that study were released this past October, and we’re excited to share some of the summarized highlights that show we are on the right track with PHIUS+.
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For example, over the past several years, NYSERDA has partnered with PHIUS and other organizations to offer qualified students substantial fee reductions for passive house professional training.įor the past year, PHIUS has collaborated with NYSERDA on a vital study of multifamily buildings in New York. NYSERDA has been at the forefront of promoting adoption of passive building in NY State. The New York State Energy Research and Development Authority (NYSERDA) promotes energy efficiency and the use of renewable energy resources. However, the stochastic plug load model – together with a stochastic occupancy model – outperforms the simplified model in predicting the plug loads peak and distribution.– James Ortega, PHIUS Certification Staff Thereby, the model evaluation results suggest that the non-stochastic model provides fairly reasonable predictions of annual energy use associated with plug loads. The findings facilitate the formulation of both simplified and probabilistic office plug loads predictions methods. Using long-term observational data obtained from a continuously monitored office building in Vienna, we specifically explore the relationship between inhabitants’ presence, installed power for equipment, and the resulting electrical energy use. Given this background, the present contribution focuses on plug loads in office buildings associated mainly with computers and peripherals. Next to factors such as building fabric and construction, indoor environmental control systems, and weather conditions, the energy demand attributable to buildings’ internal heat gains resulting from inhabitants, lighting, and equipment usage also needs to be addressed. To predict buildings’ energy use, multiple systems and processes must be considered.