scholarly journals The use of intelligent search algorithms in the cost optimization of road pavement thickness design

2021 ◽  
Author(s):  
Mansour Tohidi ◽  
Navid Khayat ◽  
Abdoulrasoul Telvari
Keyword(s):  
Cost Optimization ◽  
Search Algorithms ◽  
Intelligent Search ◽  
Road Pavement ◽  
The Cost ◽  
Pavement Thickness

Complexity Research on B Algorithm

2010 ◽  
Vol 20-23 ◽  
pp. 173-177
Author(s):  
Ai Li Han
Keyword(s):  
Time Complexity ◽  
Complexity Analysis ◽  
Search Algorithms ◽  
Heuristic Function ◽  
Worst Case ◽  
Intelligent Search ◽  
The Cost

The time complexity of B algorithm, one of the intelligent search algorithms, is discussed. By anatomizing some instances, it is pointed out that the cost of calculating the value of heuristic function should be included in the range of time complexity analysis for B algorithm. And then, an algorithm of calculating the value of heuristic function is presented. By analyzing the cost of calculating the value of heuristic function, it is pointed out that the number of recursions in B algorithm is O(n!) in the worst case. Therefore, the time complexity of B algorithm is exponential instead of O(n2).

Cost Optimization of Net-Zero Energy House

2007 ◽  
Author(s):  
George A. Mertz ◽  
Gregory S. Raffio ◽  
Kelly Kissock
Keyword(s):  
Energy Use ◽  
Cost Optimization ◽  
Building Design ◽  
Building Energy ◽  
Zero Energy ◽  
Resource Limitations ◽  
Net Zero Energy ◽  
Net Zero ◽  
Building Energy Use ◽  
The Cost

Environmental and resource limitations provide increased motivation for design of net-zero energy or net-zero CO2 buildings. The optimum building design will have the lowest lifecycle cost. This paper describes a method of performing and comparing lifecycle costs for standard, CO2-neutral and net-zero energy buildings. Costs of source energy are calculated based on the cost of photovoltaic systems, tradable renewable certificates, CO2 credits and conventional energy. Building energy simulation is used to determine building energy use. A case study is conducted on a proposed net-zero energy house. The paper identifies the least-cost net-zero energy house, the least-cost CO2 neutral house, and the overall least-cost house. The methodology can be generalized to different climates and buildings. The method and results may be of interest to builders, developers, city planners, or organizations managing multiple buildings.

Impact of High Resolution 3D Geomechanics on Well Optimization in the Southern Gulf of Suez, Egypt

2021 ◽  
Author(s):  
Mohamed Elkhawaga ◽  
Wael A. Elghaney ◽  
Rajarajan Naidu ◽  
Assef Hussen ◽  
Ramy Rafaat ◽  
...  
Keyword(s):  
High Resolution ◽  
Pore Pressure ◽  
Cost Optimization ◽  
Oil Field ◽  
Wellbore Stability ◽  
Gulf Of Suez ◽  
Geomechanical Model ◽  
3D Geomechanical Model ◽  
The Cost ◽  
The Impact

Abstract Optimizing the number of casing strings has a direct impact on cost of drilling a well. The objective of the case study presented in this paper is the demonstration of reducing cost through integration of data. This paper shows the impact of high-resolution 3D geomechanical modeling on well cost optimization for the GS327 Oil field. The field is located in the Sothern Gulf of Suez basin and has been developed by 20 wells The conventional casing design in the field included three sections. In this mature field, especially with the challenge of reducing production cost, it is imperative to look for opportunites to optimize cost in drilling new wells to sustain ptoduction. 3D geomechanics is crucial for such cases in order to optimize the cost per barrel at the same time help to drill new wells safely. An old wellbore stability study did not support the decision-maker to merge any hole sections. However, there was not geomechanics-related problems recorded during the drilling the drilling of different mud weights. In this study, a 3D geomechanical model was developed and the new mud weight calculations positively affected the casing design for two new wells. The cost optimization will be useful for any future wells to be drilled in this area. This study documents how a 3D geomechanical model helped in the successful delivery of objectives (guided by an understanding of pore pressure and rock properties) through revision of mud weight window calculations that helped in optimizing the casing design and eliminate the need for an intermediate casing. This study reveals that the new calculated pore pressure in the GS327 field is predominantly hydrostatic with a minor decline in the reservoir pressure. In addition, rock strength of the shale is moderately high and nearly homogeneous, which helped in achieving a new casing design for the last two drilled wells in the field.

The cost competitiveness, competitiveness and sustainability of the hospitality industry in India

2016 ◽  
Vol 8 (4) ◽  
pp. 432-443 ◽  
Author(s):  
Madhu Vij
Keyword(s):  
Hospitality Industry ◽  
Cost Optimization ◽  
Cost Effective ◽  
Comprehensive Treatment ◽  
Global Level ◽  
Content Type ◽  
Present Context ◽  
Cost Competitiveness ◽  
Internal Operations ◽  
The Cost

Purpose This study aims to provide a comprehensive treatment of the various issues surrounding the concept of the cost competitiveness, competitiveness and sustainability of the hospitality industry. We also investigate how innovations in the Indian hospitality industry can optimize costs without compromising the quality of the product or the services offered. Design/methodology/approach The methodology used is mainly survey-based with the use of both structured and unstructured questionnaires. In addition, some interviews were conducted with policy-makers and academics to explore from their perspectives what might be the innovations and sustainability issues in the next decade. Findings The paper helps to identify the essential aspects of cost competitiveness, competitiveness and sustainability in the hospitality industry and to better understand if cost optimization can be accomplished simply by realigning process or cost. These issues have become very important in India in the present context of globalization. Practical implications With growing competition on a global level, the hospitality industry needs to proactively manage its internal operations and focus on reducing costs and raising service quality. In this context, the paper helps to reveal sustainable cost effective practices that are geared to today’s competitive environment. Originality/value The inspiration to write this paper arises from the recent global economic slowdown and the fact that the hospitality industry is confronted with growing competition on a global level. This study highlights how value can be created for customers by applying suitable strategies.

scholarly journals STUDI PERBANDINGAN MENGENAI PERHITUNGAN BESARAN REGANGAN DI LAPISAN SUBGRADE AKIBAT BEBAN RODA KENDARAAN UNTUK JALAN RAYA KELAS I

2020 ◽  
Vol 3 (4) ◽  
pp. 1077
Author(s):  
Leonardo Lijuwardi ◽  
Gregorius Sandjaja Sentosa
Keyword(s):  
Flexible Pavement ◽  
Layer System ◽  
The Road ◽  
Strain Calculation ◽  
Road Pavement ◽  
Large Contact Area ◽  
Vehicle Loads ◽  
Pavement Layers ◽  
Road Data ◽  
Pavement Thickness

ABSTRACTMulti-layer systems theory is one of the concepts used in finding out the amount of strain and stress that occurs in the road pavement system due to vehicle loads. The purpose and goal of this study is to analyze the amount of strain that occurs on the pavement systems in Indonesia, especially in the subgrade position. The type of multi-layer system theory used to calculate the amount of strain includes the theory of one layer systems, two-layer systems and three-layer systems with data analyzed in the form of pavement thickness and type of pavement material.Based on this study, the value of strain obtained by the theory of one-layer system in some of the road data reviewed are 533.8658 microstrains, 361.3456 microstrains, 1577.987601 microstrains, 618,012 microstrains and 140.3075 microstrains. For research with two-layers systems, the results obtained are 1116.2920 microstrains, 544.322 microstrains, 1448.0839 microstrains, 734.1844 microstrains and 738.7226 microstrains. For research with three-layers system, results obtained are 72.20275278; 70.80346908; 192.9638366; 123.1150377dan 391.8845636 microstrains. The results with the calculation of one-layer system are very large because the modulus values of the subgrade layers are not reviewed and only pavement thickness is reviewed. As for calculations with the theory of two-layer systems, the results obtained are far greater than one-layer systems, due to the limitations of the graph to find the value of the ratio between thickness and large contact area. Calculation with the theory of three-layers system is a strain calculation which has a much smaller value compared to the theory of one-layer system and two- layer system. This is because this theory divides the calculated pavement layers into three layers, which is in accordance with the flexible pavement system which divides the pavement layers into three layers, so this calculation is the most ideal calculation because it approaches its original condition.ABSTRAKTeori sistem lapis banyak merupakan salah satu konsep yang digunakan dalam mencari tahu besaran regangan dan tegangan yang terjadi pada sistem perkerasan jalan raya akibat beban kendaraan. Maksud dan tujuan dari penelitian ini adalah untuk menganalisis mengenai besaran regangan yang terjadi pada jalan raya di Indonesia pada lapisan tanah dasar khususnya di posisi permukaan tanah dasar. Adapun jenis teori sistem lapis banyak yang digunakan untuk menghitung besaran regangan tersebut antara lain teori one-layer systems, two-layers systems dan three-layers systems dengan data yang dianalisis berupa tebal perkerasan dan jenis material perkerasan jalan.Berdasarkan penelitian ini, adapun nilai dari regangan yang diperoleh dengan teori one-layer system di beberapa data jalan yang ditinjau, antara lain 533.8658 mikrostrain, 361.3456 mikrostrain, 1577.987601 mikrostrain, 618.012 mikrostrain dan 140.3075 mikrostrain. Untuk penelitian dengan two-layers system diperoleh hasil yaitu 1116.2920 mikrostrain, 544.322 mikrostrain, 1448.0839 mikrostrain, 734.1844 mikrostrain dan 738.7226 mikrostrain. Untuk penelitian dengan three-layers system diperoleh hasil antara lain 72.20275278; 70.80346908; 192.9638366; 123.1150377 dan 391.8845636 mikrostrain. Hasil dengan perhitungan one-layer system sangat besar dikarenakan nilai modulus lapisan dari subgrade tidak ditinjau dan hanya meninjau tebal perkerasan. Adapun untuk perhitungan dengan teori two-layers system, hasil yang diperoleh jauh lebih besar daripada one-layer system, yang disebabkan keterbatasan dari grafik untuk mencari nilai perbandingan antara ketebalan dan luas kontak yang besar. Perhitungan dengan teori three-layers system merupakan perhitungan regangan yang memiliki nilai jauh lebih kecil dibandingkan dengan teori one-layer system dan two-layer systems. Hal ini dikarenakan teori ini membagi lapisan perkerasan yang dihitung menjadi tiga buah lapisan, yang sesuai dengan sistem perkerasan lentur yang membagi lapisan perkerasan menjadi tiga buah lapisan, sehingga perhitungan ini merupakan perhitungan yang paling ideal karena mendekati kondisi aslinya.

Reliability Evaluation and Cost Optimization of Solar Road Studs

2021 ◽  
Author(s):  
Mangey Ram ◽  
Ashok Singh Bhandari ◽  
Akshay Kumar
Keyword(s):  
Road Safety ◽  
Graphical Representation ◽  
Cost Optimization ◽  
Research Work ◽  
Road Construction ◽  
Power Supplies ◽  
Time To Failure ◽  
Road Transportation ◽  
The Cost ◽  
Mean Time

Roads have always been the main source of transportation all over the world. Easy accessibility and more safety are the most important features of road transportation. Improvements in these areas are constantly required and invited. Solar road studs are one of the remarkable improvements in road safety. Solar road studs use solar energy, which is the most sustainable and pollution-free source of energy that provides reliable power supplies and fuel diversification. Solar road studs are flashing solar cell-powered LED lighting devices used in road construction to delineate road edges and centerlines. This research work is dedicated to evaluating the reliability measures which include availability, mean time to failure (MTTF), cost analysis, and sensitivity analysis with their graphical representation by using the Markov process. Along with reliability assessment, Particle Swarm Optimization (PSO) technique is applied to optimize the cost of the system.

Baseload power potential from optimally-configured wind, solar and storage power plants across the United States

2020 ◽  
Author(s):  
Joshua D Rhodes ◽  
Aditya Choukulkar ◽  
Brianna Cote ◽  
Sarah A McKee ◽  
Christopher T M Clack
Keyword(s):  
United States ◽  
Energy Storage ◽  
Power Plants ◽  
Cost Optimization ◽  
The United States ◽  
Solar Pv ◽  
Wholesale Market ◽  
Optimal Technology ◽  
Current Price ◽  
The Cost

Abstract In the present paper, we assessed the potential for local wind, solar PV, and energy storage to provide baseload (constant, uninterrupted) power in every county of the contiguous United States. The amount of available capacity between 2020 and 2050 was determined via a least-cost optimization model that took into account changing costs of constituent technologies and local meteorological conditions. We found that, by 2050, the potential exists for about 6.8 TW of renewable baseload power at an average cost of approximately $50 / MWh, which is competitive with current wholesale market rates for electricity. The optimal technology configurations constructed always resulted in over two hours of emergency energy reserves, with the amount increasing as the price of energy storage falls. We also found that, given current price decline trajectories, the model has a tendency to select more solar capacity than wind over time. A second part of the study performed three million simulations followed by a regression analysis to generate an online map-based tool that allows users to change input costs assumptions and compute the cost of renewable baseload electricity in every contiguous US county.

Analysis on Load Model for Cost Optimization Using Embedded Meta EP-Firefly Algorithm for DG Installation

2015 ◽  
Vol 793 ◽  
pp. 478-482
Author(s):  
S.R.A. Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Cost Optimization ◽  
Load Model ◽  
Load Models ◽  
Generation Planning ◽  
Voltage Dependent ◽  
The Cost

This paper presents the analysis on load models for cost optimization for distributed generation planning. The Embedded Meta EP – Firefly Algorithm technique is performed in order to identify the optimal distributed generation sizing. The result obtained show that the proposed technique has an acceptable performance to simulate the data and voltage dependent load models have a significant effect on total losses of a distribution system consequently will affect the cost of the system.

Validation of the Index to Determine Design Parameters of a WEC for the Cost Optimization of a Wave Farm

2015 ◽  
Author(s):  
Takashi Okamoto ◽  
Yutaro Fukaya ◽  
Yasushi Higo
Keyword(s):  
Cost Optimization ◽  
Energy Conversion Efficiency ◽  
The Body ◽  
Farm Size ◽  
Design Parameters ◽  
Parameter Combination ◽  
Index Value ◽  
The Cost ◽  
Validation Tests ◽  
Wave Farm

An index to estimate the cost of electricity (COE) generated by a wave farm from the design parameters of a wave energy converter (WEC), such as the body size and the generator capacity, was examined to show the validity of index value in this study. The validation tests are performed for three different wave farm settings at three different locations. The result displays the potential of index to capture the trend of COE value especially when the wave farm size is small. The calculation result of COE reveals that the parameter combination to give better profitability is determined by the balance between WEC construction fee and installation fee. So, it would be different from the optimum size to have the best energy conversion efficiency. It also explains the shift of parameter combination to give the better profitability when the size of wave farm is changed. However, the index contains certain level of error because of the lack of this feature. Therefore, the error becomes larger when the size of wave farm becomes larger. As a result, it was found that the modification of the index is needed to improve the accuracy by including the cost related to the number of buoys in the wave farm.

Sign in / Sign up

Export Citation Format

Share Document