Simulation Modeling of a Photovoltaic-Green Roof System for Energy Cost Reduction of a Building: Texas Case Study

Kim, Sojung; Aydin, Burchan; Kim, Sumin

doi:10.3390/en14175443

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…In addition to first-generation biofuel, the production of second-generation biofuel such as Switchgrass also uses continuous production processes involving feedstock storage and handling, pretreatment and conditioning, fermentation and hydrolysis, and enzyme production for converting lignocellulosic biomass into ethanol [17]. Figure 6 re-veals an example of ABS to predict the operation cost of a building using solar power [67]. In general, as mentioned in Section 3, ABS includes autonomous decision-making agents (i.e., solar panel, irrigation system, and HVAC system agents).…”

Section: Agent-based Simulationmentioning

confidence: 99%

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Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

Kim,

Choi,

Kim

2023

Energies

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Ethanol, a common renewable energy resource, can reduce greenhouse gas (GHG) emissions to resolve the problem of global warming worldwide. Various feedstocks such as corn, sugarcane, maize stover, and wheat straw can be utilized for ethanol production. They determine production operations and relevant costs. Although there are monetary incentives and government policies in different countries to increase ethanal use, it is still challenging to make its sales price competitive due to the inefficient supply chain of ethanol. Unlike fossil fuels such as coal, oil, and natural gas using a well-designed supply chain in the long history of mankind, additional efforts are needed to organize and stabilize the supply chain of ethanol efficiently. The goal of this study is to investigate how simulation modeling techniques can be applied to various supply chain management issues of ethanol. Particularly, application cases of three major simulation paradigms such as discrete-event simulation, system dynamics, and agent-based simulation are investigated by conducting a scientific literature review. The findings of this study will contribute to the expansion of simulation use in the field of biofuel supply chain management.

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Section: Agent-based Simulationmentioning

confidence: 99%

“…Socioeconomic factors involving age, level of risk aversion, Figure 6. Operation cost estimation of a building using solar power under agent-based simulation [67].…”

Section: Agent-based Simulationmentioning

confidence: 99%

Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

Kim,

Choi,

Kim

2023

Energies

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“…This demonstrated the higher capability of deep neural network in quantifying energy savings for building façade systems. Kim et al [18] analyzed the energy savings of a photovoltaic green roof system using a simulation approach. Agent-based simulation was used to estimate energy costs and benefits of the green roof system.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

et al. 2022

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Decreasing the impact of educational buildings on the environment is a primary concern of the sustainable building movement. However, limited research has centered on improving educational building sustainability from users’ perspectives. This study aims to determine an overall user perspective satisfaction scale (OUPS) for post-secondary educational buildings, determine the factors and sub-factors that affect users’ perspectives, and create a building sustainability platform for evaluating user satisfaction. The main goal of the developed model is to offer facility managers the current users’ perspectives on post-secondary educational buildings to improve sustainability from users’ perspectives. The results revealed a significant influence of thermal comfort (40%) and aesthetics (22%) on users’ perspectives. The developed model was validated by experts working in the facility management field and they acknowledged it as having good potential. This work first utilized the Fuzzy Analytic Network Process (FANP) modelling technique to determine weights for each factor and sub-factor and then employed the fuzzy expert system to develop an OUPS. Questionnaire responses and interviews with facility managers and users were used to develop these models for a case study of the M.B. building at Concordia University in Montreal, Quebec.

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“…Unlike the traditional linear regression, it uses any kind of polynomial functions, such as quadratic, cubic, and quartic, so that a non-linear relationship can be accurately captured [28]. Due to its flexibility, PR has also been applied to estimate the electricity generation of PV modules used in the green roof system [29]. In addition, Mellit et al [30] also applied PR to estimate the electricity generation of PV modules, and proved its modeling capability.…”

Section: Polynomial Regression Modelmentioning

confidence: 99%

Performance Estimation Modeling via Machine Learning of an Agrophotovoltaic System in South Korea

Kim

2021

Energies

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The Agrophotovoltaic (APV) system is a novel concept in the field of Renewable Energy Systems. This system enables the generation of solar energy via photo-voltaic (PV) modules above crops, to mitigate harmful impact on food production. This study aims to develop a performance evaluation model for an APV system in a temperate climate region, such as South Korea. To this end, both traditional electricity generation models (solar radiation-based model and climate-based model) of PV modules and two major machine learning (ML) techniques (i.e., polynomial regression and deep learning) have been considered. Electricity generation data was collected via remote sensors installed in the APV system at Jeollanam-do Agricultural Research and Extension Services in South Korea. Moreover, economic analysis in terms of cost and benefit of the subject APV system was conducted to provide information about the return on investment to farmers and government agencies. As a result, farmers, agronomists, and agricultural engineers can easily estimate performance and profit of their APV systems via the proposed performance model.

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Simulation Modeling of a Photovoltaic-Green Roof System for Energy Cost Reduction of a Building: Texas Case Study

Cited by 9 publications

References 30 publications

Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

Simulation Modeling in Supply Chain Management Research of Ethanol: A Review

An Integrated Fuzzy-Based Sustainability Framework for Post-Secondary Educational Buildings: A User-Perspective Approach

Performance Estimation Modeling via Machine Learning of an Agrophotovoltaic System in South Korea

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