Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Water  /  Vol: 9 Núm: 6 Par: 0 (2017)  /  Artículo
ARTÍCULO
TITULO

Verification of Calculation Method Using Monte Carlo Method for Water Supply Demands of Office Building

Guang-Zheng Wu    
Kyosuke Sakaue    
Saburo Murakawa    

Resumen

In Japan, there are four methods of calculating water supply demands for office buildings based on SHASE-S 206 and two methods based on the design standard of Ministry of Land, Infrastructure, Transport and Tourism (MLIT). However, these methods were found to produce overestimated values when applied to recent sanitary fixtures with advanced water saving features. To cope with this problem, Murakawa?s Simulation for Water Consumption (MSWC), which utilizes the Monte Carlo method to calculate water usage dynamically has been developed. In this study, we evaluated the validity of MSWC on water consumption of an office building. Actual water consumption data were collected from a six story office building. Water consumption estimates calculated by the six conventional methods and MSWC were compared with the actual measurement values. Though the calculations based on the conventional methods significantly deviated from the actual measurement values, those made by MSWC closely resembled them.

 Artículos similares

       
 
Duc Thien Tran, Tien Dat Nguyen, Minh Khiem Tran and Kyoung Kwan Ahn    
A control method for a cable-driven robot in a teleoperation system is proposed using the hardware-in-the-loop (HIL) simulation technique. The main components of the teleoperated robotic system are a haptic device, also called a delta robot, and a cable-... ver más
Revista: Applied Sciences

 
Ancilon Leuch Alencar, Marcelo Dornbusch Lopes, Anita Maria da Rocha Fernandes, Julio Cesar Santos dos Anjos, Juan Francisco De Paz Santana and Valderi Reis Quietinho Leithardt    
In the current era of social media, the proliferation of images sourced from unreliable origins underscores the pressing need for robust methods to detect forged content, particularly amidst the rapid evolution of image manipulation technologies. Existin... ver más
Revista: Future Internet

 
Jing Liu, Xuesong Hai and Keqin Li    
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir... ver más
Revista: Future Internet

 
Mingwei Zhao, Xiaoxiao Ju, Ni Wang, Chun Wang, Weibo Zeng and Yan Xu    
Extracting a channel network based on the Digital Elevation Model (DEM) is one of the key research topics in digital terrain analysis. However, when the channel area is wide and flat, it is easy to form parallel channels, which seriously affect the accur... ver más

 
Ru Ye, Hongyan Xing and Xing Zhou    
Addressing the limitations of manually extracting features from small maritime target signals, this paper explores Markov transition fields and convolutional neural networks, proposing a detection method for small targets based on an improved Markov tran... ver más