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13 results for “Nabil Nassif”
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Research ArticleOpen accessIn the author namesAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,520 accessesView PDFCite
Research ArticleOpen accessIn the author namesOptimal Control Strategy for Parallel Fan-Powered VAV SystemsNabil Nassif, Iffat Ridwana, Mostafa Tahmasebi, Pejman EbrahimiASHRAE Guideline 36 recommends resetting the Supply Air Temperature (SAT) for Variable Air Volume (VAV) systems to balance fan power, heating and cooling loads and zone reheat requirements. This is achieved by employing a trim and response algorithm in conjunction with using the outside air temperature and readings from zone cooling loops. However, resetting the SAT for the VAV systems … …Energy Research Journal, Vol. 13, Issue 1 · 6 Jun 2022 · 10,355 accessesView PDFCite
Research ArticleOpen accessIn the author namesApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the author namesChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-LebdehIn 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 (Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,452 accessesView PDFCite
Research ArticleOpen accessIn the author namesDeveloping an Integrated Method for Optimal Design of Chilled Water Plants in HVAC SystemsNabil Nassif, Nihal Al Raees, Fouad Al Rifaie, Taher Abu-LebdehBuildings account for a large portion of energy use in the US. Many those buildings have equipped with central plants to produce chilled water supplied to central air handling units. The chilled water plant design can have a significant impact on building energy uses and costs. In this paper, an integrated method for optimal design of chilled water plants is … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,592 accessesView PDFCite
Research ArticleOpen accessIn the author namesChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-Lebdehin 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 23 Oct 2018 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the author namesBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the author namesDeveloping and Testing Dynamic Models for HVAC Systems Using System Identification ApproachNabil Nassif, Jasmine Buford, Taher M. Abu-LebdehThis paper proposes integrated modeling and optimization methods for a chilled water HVAC system using a system identification approach. Two multiple input-single output models are developed to find the supply air temperature and fan power of the investigated chilled water air handling unit AHU. To test the proposed models, actual data are collected from existing HVAC systems. Different fan and … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 15 Mar 2017 · 7,715 accessesView PDFCite