Physical Sciences and Mathematics Commons^™

A New Model For Minimizing The Electric Vehicle Battery Capacity In Electrictravelling Salesman Problem With Time Windows, Kazim Erdoğdu, Korhan Karabulut

Turkish Journal of Electrical Engineering and Computer Sciences

The growing pollution in the environment and the negative shift in the global climate compel authorities to take action to protect the environment and human health. Transportation is one of the major contributors to this environmental decay. The harmful gases released to the air by the vehicles using petroleum fuel increase each day. One of the solutions is to make a gradual transition to electric vehicles. A major part of manufacturing an electric vehicle is to produce an efficient electric motor and battery for it. Reducing the manufacturing and operating costs of these components will result in reducing the overall …

Forecasting Power Consumption In Pennsylvania During The Covid-19 Pandemic: A Sarimax Model With External Covid-19 And Unemployment Variables, Jackson Au, Javier Saldaña Jr., Ben Spanswick, John Santerre

SMU Data Science Review

In this paper, we present how electrical consumption can reveal insight into the novel COVID-19 pandemic spread. We analyze electrical power consumption provided by PPL Electric Utilities, Department of Labor’s unemployment claims, and the COVID-19 cases/deaths for the State of Pennsylvania to study the impact of the pandemic on the infrastructure. Using a SARIMA model as our benchmark and we analyzed the use of a SARIMAX model to forecast the power consumption in Pennsylvania 14 days ahead. Our work quantifies and illuminates the effect that the strict legislation passed to minimize the spread of COVID19 had a on power consumption. …

Ranking Volatility In Building Energy Consumption Using Ensemble Learning And Information Entropy, Kunal Sharma, Jung-Ho Lewe

Georgia Journal of Science

Given the rise in building energy consumption and demand worldwide, energy inefficiency detection has become extremely important. A significant portion of the energy used in commercial buildings is wasted as a result of poor maintenance, degradation or improperly controlled equipment. Most facilities employ sensors to track energy consumption across multiple buildings. Smart fault detection and diagnostic systems use various anomaly detection techniques to discover point anomalies in consumption. While these systems work reasonably well in detecting equipment anomalies over short-term intervals, further exploration is needed in finding methods that consider long-term consumption to detect anomalous buildings. This paper presents a …

Study On Performance Of Pure Electric Vehicles Nder Single Energy Source And Dual-Energy Source Based On Bench Test, Shaojian Song, Qingfang Lin, Xiaofeng Lin

Journal of System Simulation

Abstract: With most of the study on performance of the pure electrical vehicles under single energy source and dual-energy source based on virtual vehicle simulation software, such as ADVISOR, PSAT, the mechanical properties of the real vehicle system, the physical properties of the battery pack, the conversion efficiency of the bi-directional DC/DC converter and the response time of the energy management system were ignored, which could not reflect the real vehicle systems accurately. Taking the pure electric vehicle test system as the research object, in which the LiFePO₄ battery pack was the main energy source and the ultra-capacitor was …

Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System, Jianjun Meng, Bai Huan, Mou Jian, Yin Ming, Xuri Guan

Journal of System Simulation

Abstract: Aiming at the disadvantage of single object in railway vehicle damping system,the multi-objective optimal control law of railway vehicle damping system was devised to balance shock absorption control and energy saving control. To improve the riding comfortability and reduce the energy consumption, the multi-objective H₂/H_∞ output-feedback controller based on LMI was developed for an active suspension of 6-DOF vertical vibration model of railway vehicle. Norm H₂ of the actuator output was taken as the energy consumption indexes, and norm H_∞ of the vertical vibration displacement, the acceleration and the nutation angle was taken as …

Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan

Journal of System Simulation

Abstract: Due to the complexity of energy consumption of the discrete manufacturing system and the interaction between energy consumption indexes, the result of energy consumption analysis is hard to obtain, establishing energy efficiency evaluation index of discrete system, based on the three levels of energy consumption of products, equipment energy efficiency, the energy efficiency of task process. Furthermore, a method was proposed to analyze the discrete manufacturing process energy consumption based on improved principal component analysis method. The method introduced importance weights, overcame the shortcoming of traditional component analysis, which only emphasized the information weights, combined the subjective and …

Study Of Model And Simulation On Ceramic Tile Polishing Energy Consumption, Haidong Yang, Chengdun Guo, Li Hong, Guosheng Liu, Jiawen Wu

Journal of System Simulation

Abstract: Currently, there are many defects in the production line of ceramic polishing, such as over polishing and high energy consumption, so it is an urgent mission to optimize the technical processes in order to cut down the energy consumption. Material removal equations and energy usage model were established based on the kinematic mechanism process and Preston equation. Simulation experiments were done by the above equations and model, so as to depict the evolution in both quality and power consumption. The impact of transmission speed of belt, lateral swing speed, disc rotation speed and other kinematic parameters on over polishing …

Design Aspects, Energy Consumption Evaluation, And Offset For Drinking Water Treatment Operation, Saria Bukhary, Jacimaria Batista, Sajjad Ahmad

Civil and Environmental Engineering and Construction Faculty Research

Drinking water treatment, wastewater treatment, and water distribution are energy-intensive processes. The goal of this study was to design the unit processes of an existing drinking water treatment plant (DWTP), evaluate the associated energy consumption, and then offset it using solar photovoltaics (PVs) to reduce carbon emissions. The selected DWTP, situated in the southwestern United States, utilizes coagulation, flocculation, sedimentation, filtration, and chlorination to treat 3.94 m3 of local river water per second. Based on the energy consumption determined for each unit process (validated using the plant’s data) and the plant’s available landholding, the DWTP was sized for solar PV …

Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of flexible job shop scheduling problem, a multi-objective scheduling model with maximum completion time and minimum energy consumption was proposed. An improved shuffled frog leaping algorithm was developed. By designing the local updating strategy based on crossover operation of maximum preserved crossover (MPX) and shifting operation of single parent gene algorithm (PGA), it avoided the illegal solution and trimming of the algorithm. Additionally, it accelerated optimization rate of the algorithm. And the optimal solution of the group was optimized by the simplified neighborhood optimization strategy to prevent the algorithm from falling into the local optimum. …

The Impact Of Advanced Treatment Technologies On The Engery Use In Satellite Water Reuse Plants, Jonathan R. Bailey, Sajjad Ahmad, Jacimaria Batista

Civil and Environmental Engineering and Construction Faculty Research

With an ever-increasing world population and the resulting increase in industrialization and agricultural practices, depletion of one of the world’s most important natural resources, water, is inevitable. Water reclamation and reuse is the key to protecting this natural resource. Water reclamation using smaller decentralized wastewater treatment plants, known as satellite water reuse plants (WRP), has become popular in the last decade. Reuse plants have stricter standards for effluent quality and require a smaller land footprint (i.e., real estate area). They also require additional treatment processes and advanced treatment technologies. This greatly increases the energy consumption of an already energy intensive …

Carbon Footprint Of Machine Learning Algorithms, Gigi Hsueh

Senior Projects Spring 2020

With the rapid development of machine learning, deep learning has demonstrated superior performance over other types of learning. Research made possible by big data and high-end GPU's enabled those research advances at the expense of computation and environmental costs. This will not only slow down the advancement of deep learning research because not all researchers have access to such expensive hardware, but it also accelerates climate change with increasing carbon emissions. It is essential for machine learning research to obtain high levels of accuracy and efficiency without contributing to global warming. This paper discusses some of current approaches in estimating …

Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy, Qinglong Meng, Zhibo Zhang, Xiong Cheng

Journal of System Simulation

Abstract: Aiming at the problem of coordinated operation between VAV (variable air volume) and variable water temperature in central air conditioning system, a TRNSYS dynamic simulation model of air conditioning system with adjustable air supply and water supply temperature is established, and the accuracy of the model is proved by experiments. By controlling the terminal air volume to simulate the effect of variable water temperature operation on the air conditioning system under different load rates, the optimal water supply temperature of the air conditioning system under different load rates is obtained, and the variable water temperature operation strategy of the …

A Mathematical Programming Model For The Green Mixed Fleet Vehicle Routing Problem With Realistic Energy Consumption And Partial Recharges, Vincent F. Yu, Panca Jodiwan, Aldy Gunawan, Audrey Tedja Widjaja

Research Collection School Of Computing and Information Systems

A green mixed fleet vehicle routing with realistic energy consumption and partial recharges problem (GMFVRP-REC-PR) is addressed in this paper. This problem involves a fixed number of electric vehicles and internal combustion vehicles to serve a set of customers. The realistic energy consumption which depends on several variables is utilized to calculate the electricity consumption of an electric vehicle and fuel consumption of an internal combustion vehicle. Partial recharging policy is included into the problem to represent the real life scenario. The objective of this problem is to minimize the total travelled distance and the total emission produced by internal …

Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu

Journal of System Simulation

Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …

Evaluation Of The Impact Of Phase Change Humidity Control Material On Energy Performance Of Office Buildings, Zhimin Wu, Menghao Qin, Mingjie Zhang

International Building Physics Conference 2018

Phase change humidity control material (PCHCM) is a new kind of composite made of high performance PCM microcapsules and diatomite. The PCHCM composite can moderate the hygrothermal variations by absorbing or releasing both heat and moisture and significantly reduce the peak/valley values of indoor temperature and relative humidity. In this paper, a novel model is developed to evaluate the energy performance of office buildings with PCHCM. The model is validated by a series of experiments, and then applied to investigate the effect of PCHCM on energy consumption in different typical climates worldwide (i.e. Beijing, Paris, Atlanta, and Guangzhou). Results show …

Evaluating The Energy Consumption And Heat Loss In The Hot Water Supply And Heating Systems Of A Nursing Home, Kana Inamoto, Chiemi Iba, Shuichi Hokoi, Daisuke Ogura, Satoru Takada

International Building Physics Conference 2018

The demand for nursing homes has increased recently due to an increase in the aging population in Japan. Nursing homes are generally equipped with hot water supply and heating systems for bathing, preparing meals, and heating rooms. This equipment utilizes a considerable amount of energy. Few studies have measured heat loss from the hot water supply and heating systems in such facilities. This study evaluated the hot water supply and heating systems of a nursing home located in a cold climate area in Japan. The temperature and flow rate of the hot water were continuously measured, and the energy consumption …

Shear Driven Micro-Fluidic Pump For Cardiovascular Applications, Nihad E. Daidzic

Aviation Department Publications

A valveless shear-driven micro-fluidic pump design (SDMFP) for hemodynamic applications is presented in this work. One of the possible medical and biomedical applications is in-vivo hemodynamic (human blood circulation) support/assist. One or more SDMFPs can be inserted/implanted into vascular lumens in a form of a stent/duct in series and/or in parallel (bypass duct) to support blood circulation in-vivo. A comprehensive review of various micro-pump designs up to about mid 2000’s is given in [1,2]. Many of micropump designs considered are not suitable for in-vivo or even in-vitro medical/biomedical applications.

Operating principles, design, and SDMFP features are given in [3]. A …

Umass Amherst Energy Consumption, Ghg Emissions, Energy Intensity From 2002-2016, Ezra Small

Campus Data

Data spreadsheet of GHG emissions, fuel consumption, and energy intensity for UMass Amherst between Fiscal Years 2002 to 2016.

Fy 2017 Umass Amherst Electricity Data By Building, Ezra Small

Campus Data

Each year, UMass Amherst Utilities publishes this spreadsheet which has the monthly and annual building energy consumption of each metered building on campus. Cost data and production vs. purchased electricity data are also provided.

An Analysis Of The Energy Consumption And Environmental Impact On The Emissions Of Carbon Dioxide And Methane Of The Offshore Natural Gas Liquefaction Process In Facilities With Utilizing Dual Mixed Refrigerant (Dmr) Process Technology, Xinyue Yao

Theses, Dissertations and Capstones

The objective of this thesis is to evaluate the effects of the dual mixed refrigerant (DMR) process on energy consumption and greenhouse gas (GHG) emissions in terms of carbon dioxide (CO₂) and methane (CH₄) in an offshore liquid natural gas (LNG) facility based on the reliable data from the Gulf of Mexico in the United States. After comparing energy consumption and GHG (carbon dioxide and methane) emissions for a number of liquefaction technologies: including mixed fluid cascade (MFC), dual mixed refrigerant (DMR), single mixed refrigerant (SMR), mixed refrigerant with propane precooling (C3MR), and the Conoco Phillips …

An Empirical Assessment Of Energy Management Information System Success Using Structural Equation Modeling, Gwendolyn D. Stripling

CCE Theses and Dissertations

The Energy Industry utilizes Energy Management Information Systems (EMIS) smart meters to monitor utility consumers’ energy consumption, communicate energy consumption information to consumers, and to collect a plethora of energy consumption data about consumer usage. The EMIS energy consumption information is typically presented to utility consumers via a smart meter web portal. The hope is that EMIS web portal use will aid utility consumers in managing their energy consumption by helping them make effective decisions regarding their energy usage. However, little research exists that evaluates the effectiveness or success of an EMIS smart meter web portal from a utility consumer …

An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain

Turkish Journal of Electrical Engineering and Computer Sciences

Data gathering is a focal task in wireless sensor networks (WSNs) that expends most of the sensor nodes' energy. Two factors that are considered essential in data gathering are latency and power consumption. The multihop data gathering approach proves that latency is minimized due to the speed of forwarding data to the base station. However, this may lead to increased power consumption and increased possibility of an emerging hotspot area. In contrast, data gathering based on a mobile element (ME) proves that power consumption is minimized due to avoiding relay data in extreme schemes. However, this may increase the latency …

Agora: A Knowledge Marketplace For Machine Learning, Mauro Ribeiro

Electronic Thesis and Dissertation Repository

More and more data are becoming part of people's lives. With the popularization of technologies like sensors, and the Internet of Things, data gathering is becoming possible and accessible for users. With these data in hand, users should be able to extract insights from them, and they want results as soon as possible. Average users have little or no experience in data analytics and machine learning and are not great observers who can collect enough data to build their own machine learning models. With large quantities of similar data being generated around the world and many machine learning models being …

Renewable Energy Consumption: Initiatives In Colorado And Washington, Robin K. Doroff

Journal of Environmental and Resource Economics at Colby

This paper examines the use of policy mechanisms to increase renewable energy consumption within the United States. In order to effectively measure the change of renewable energy consumption, I analyze two initiatives that promote energy consumption from renewable sources and overall increases in energy conservation. Colorado and Washington had approved initiatives in the years 2004 and 2006, respectively. Although the results are not entirely statistically significant, I find that the initiatives lead to increases in total renewable energy consumption and decreases in total energy use.

Energy-Efficient Mobile Cluster-Head Data Collection Model For Wireless Sensor Networks, Nidhi Gautam, Sanjeev Sofat, Renu Vig

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks have grown from homogeneous network architecture to heterogeneous networks for the improvement of network efficiency and lifetime. This paper exhibits a mobile cluster-head data collection (MCHDC) model for heterogeneous wireless networks. The MCHDC model illustrates the mobility pattern of mobile cluster-head nodes in a controlled environment with uniform and nonuniform deployment of mobile elements in the area of observation. It focuses on the threshold velocity for movement of mobile elements in the network area. In this paper the effects of data sending rate, network area, sensor node density, and cluster-head node density on energy efficiency of the …

Energy-Aware Stochastic Scheduling Model With Precedence Constraints On Dvfs-Enabled Processors, Mohammad Sajid, Zahid Raza

Turkish Journal of Electrical Engineering and Computer Sciences

The stochastic scheduling of precedence-constrained jobs on a heterogeneous processor is a challenging problem that requires solutions with one or more optimized QoS parameters. In this work, an energy-aware stochastic algorithm is proposed to schedule the batch of precedence-constrained jobs on heterogeneous DVFS-enabled processors with the objective of optimizing turnaround time and energy consumption. The processing time of tasks in all jobs and their precedence-constraint times are governed by independent probability distributions. The performance of the proposed stochastic algorithm is compared with SHEFT and ECS based on randomly generated batches of different sizes. The experimental study reveals that the proposed …

How Do U.S. And Chinese Biology Students Compare In Explaining Energy Consumption Issues?, Hui Jin, Hayat Hokayem, Sasha Wang, Xin Wei

Mathematics Faculty Publications and Presentations

This qualitative study investigates how biology majors explain energy consumption issues. In particular, we focus on two energy consumption activities that account for about two-thirds of global carbon dioxide emissions in 2011: burning fossil fuels for transportation and using electricity. We conducted in-depth clinical interviews with twenty U.S. students and twenty Chinese students. We compared these two groups of students in terms of two aspects of explanation: 1) naming scientific terms in the explanation, and 2) explaining an energy consumption issue. Regarding naming, we examined the frequency of naming different terms of scientific concepts and principles in students’ explanations. Regarding …

Aarpa: Combining Mobile And Power-Line Sensing For Fine-Grained Appliance Usage And Energy Monitoring, Nirmalya Roy, Nilavra Pathak, Archan Misra

Research Collection School Of Computing and Information Systems

To promote energy-efficient operations in residential and office buildings, non-intrusive load monitoring (NILM) techniques have been proposed to infer the fine-grained power consumption and usage patterns of appliances from power-line measurement data. Fine-grained monitoring of everyday appliances (such as toasters and coffee makers) can not only promote energy-efficient building operations, but also provide unique insights into the context and activities of individuals. Current building-level NILM techniques are unable to identify the consumption characteristics of relatively low-load appliances, whereas smart-plug based solutions incur significant deployment and maintenance costs. In this paper, we investigate an intermediate architecture, where smart circuit breakers provide …

The Impacts Of Varability In Temperature And Humidity On Electricity Consumption In New York State, Eric Adamchick

Legacy Theses & Dissertations (2009 - 2024)

A seasonal harmonic linear regression approach is presented to model the seasonal and diurnal relationships between surface weather observations and electricity load data in New York State. The relationships between dry-bulb, dew point, and wet-bulb temperatures with electricity load were evaluated using the correlation coefficient to test the strength of the relationships, while the regression slope coefficient provided an interpretable scale for those relationships. We found that the strongest seasonal and diurnal relationships occur during boreal summer from the afternoon through the overnight hours, while similar but negative relationships are observed during the winter. Using the same seasonal harmonic linear …

A Regression Approach For Estimation Of Anthropogenic Heat Flux Based On A Bottom-Up Air Pollutant Emission Database, Sanghyun Lee, Stuart A. Mckeen, David J. Sailor

Mechanical and Materials Engineering Faculty Publications and Presentations

A statistical regression method is presented for estimating hourly anthropogenic heat flux (AHF) using an anthropogenic pollutant emission inventory for use in mesoscale meteorological and air-quality modeling. Based on bottom-up AHF estimated from detailed energy consumption data and anthropogenic pollutant emissions of carbon monoxide (CO) and nitrogen oxides (NO_x) in the US National Emission Inventory year 2005 (NEI-2005), a robust regression relation between the AHF and the pollutant emissions is obtained for Houston. This relation is a combination of two power functions (Y = aX^b) relating CO and NO_x emissions to AHF, giving a determinant …