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Author

Nabil Nassif

Department of Civil and Architectural Engineering, University of Cincinnati, United States
10 articles in our journals

Articles where this person is an author, newest first. People are matched by their name as printed (no ORCID iD is recorded for them), not by name alone; search the name as text to find namesakes too.

Research ArticleOpen accessAn 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 accessOptimal 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 accessChilled 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 accessDeveloping 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 accessChilled 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 accessBuilding 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 accessDeveloping 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
Research ArticleOpen accessTHE EFFECT OF VENTILATION AND ECONOMIZER ON ENERGY CONSUMPTIONS FOR AIR SOURCEHEAT PUMPS IN SCHOOLSNihal Al Raees, Nabil Nassif, Fouad Al RifaieThe study discusses the applications of CO2-based demand-controlled ventilation DCV strategy integrated with the economizer for air source heat pumps in schools, investigates their impact on the annual heating, cooling and total energy consumption, also determines the potential savings achieved in different USA locations. The study includes detailed energy analysis on an existing middle school through whole building simulation energy … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 18 Mar 2014 · 8,390 accessesView PDFCite
Research ArticleOpen accessLOW-COST STRATEGIES TO SAVE ENERGY IN K-12 SCHOOLSNabil Nassif, Raymond C. Tesiero III, Harmohindar Singh, K. M. FlurchickAdvanced Energy Management Control Systems (EMCS) offer an excellent means of reducing energy consumption in Heating, Ventilating and Air Conditioning (HVAC) systems while maintaining and improving indoor environmental conditions. This can be achieved through the use of computational intelligence and optimization with a building automation system and multiple sensors, which can be quite expensive. However, energy awareness and proper scheduling … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 17 Mar 2014 · 8,164 accessesView PDFCite
Research ArticleOpen accessA NEW AIR CONDITIONING SYSTEM FAN MODEL BASED ON NUMERICAL ANALYSISNabil Nassif, Raymond Tesiero, Nihal AlRaeesA large portion of energy use in buildings is attributed to air movement devices. Accurate estimation of fan performance is a key element in maximizing fan efficiency. This study proposes a new fan model that can be used in several applications such as optimization and fault detection and can also be incorporated into any commercial building models. The model uses … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 14 Mar 2014 · 8,189 accessesView PDFCite