S
Somayeh Asadi
Researcher at Pennsylvania State University
Publications - 194
Citations - 3664
Somayeh Asadi is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Renewable energy & Energy consumption. The author has an hindex of 26, co-authored 176 publications receiving 2257 citations. Previous affiliations of Somayeh Asadi include University of Pennsylvania & Texas A&M University–Kingsville.
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Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm
TL;DR: In this article, a multi-objective optimization model based on harmony search algorithm (HS) is presented to minimize the life cycle cost (LCC) and carbon dioxide equivalent (CO2-eq) emissions of the buildings.
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On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design
TL;DR: A new model to predict and quantify energy consumption in commercial buildings in the early stages of building design by considered building materials, their thickness, building shape, and occupant schedule as design variables since building energy performance is sensitive to these variables.
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Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads
Morteza Nazari-Heris,Morteza Nazari-Heris,Mohammad Amin Mirzaei,Behnam Mohammadi-Ivatloo,Mousa Marzband,Somayeh Asadi +5 more
TL;DR: In this paper, a multi-objective two-stage stochastic unit commitment scheme for integrated gas and electricity networks taking into account novel flexible energy sources such as P2G technology and demand response (DR) programs as well as high penetration of wind turbines was proposed.
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Dicyclopentadiene and Sodium Silicate Microencapsulation for Self-Healing of Concrete
TL;DR: In this article, the effects of preparation parameters, namely, temperature, agitation rate, and pH on the shell thickness and size (diameter) of the microcapsules as well as to evaluate the self-healing mechanism in concrete through experimental testing performed in laboratory.
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Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the U.S.
TL;DR: In this article, a Monte Carlo simulation technique was used to generate thirty thousand combinations of design parameters, covering the full range for each climate region, which can be used to estimate the energy consumption of office buildings in early stages of design.