Search Result of "อารียา ฤทธิมา"

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Researcher

นาย ยุทธนา ตาละลักษมณ์, อาจารย์

ที่ทำงาน:ภาควิชาวิศวกรรมทรัพยากรน้ำ คณะวิศวกรรมศาสตร์ บางเขน

สาขาที่สนใจ:การออกแบบงานพัฒนาแหล่งน้ำ, การจัดการน้ำ

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Development of Probability Based Rule Curves for a Reservoir)

ผู้เขียน:Imgดร.วราวุธ วุฒิวณิชย์, รองศาสตราจารย์, Imgอารียา ฤทธิมา

สื่อสิ่งพิมพ์:pdf

Abstract

The probability based rule curves were developed for Mun Bon and Lam Chae reservoirs, Nakhon Ratchasima province, using 50 synthetic generated monthly inflow sequences of 48 years each. There were 4 levels of risk including 0.05, 0.10, 0.20 and 0.30 for each of the upper and the lower rule curves. Mun Bon reservoir used the actual water use for developing the probability based rule curves. Since Lam Chae reservoir was the newly constructed reservoir, only some part of the project was irrigated. Three water use scenarios were used for developing the probability based rule curves.Those were 100%, 75% and 50% of upland crop area. The probability based rule curves of Mun Bon and Lam Chae reservoirs were used in reservoir operation simulation using the proposed reservoir operating rules and the 48 years of monthly historical data, 1952-1999. The standard operating policy was also used in Mun Bon and Lam Chae reservoir operation simulation using the same set of data in order to see the effectiveness of the developed probability based rule curves. The simulation result showed that the failure indices in terms of the number of months, sum and sum squared of water shortage of the probability based rule curves were smaller than those of the standard operating policy.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 037, Issue 2, Apr 03 - Jun 03, Page 234 - 242 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Optimal Hedging Policies for Hydropower Generation at Ubolratana Reservoir)

ผู้เขียน:Imgอารียา ฤทธิมา

สื่อสิ่งพิมพ์:pdf

Abstract

Hydropower is regarded as an important source of electrical energy to enhance the efficiency of renewable energy use. However, the effects of the inflow uncertainty on a reservoir operation which cannot maintain the water level so that it is sufficient for generating power in some critical periods, makes reliable energy generation in certain periods unpredictable. Thus, this research developed different types of optimal hedging policies (one-point hedging, two-point hedging, three-point hedging, multiple hedging-non seasonal effects and multiple hedging-seasonal effects), which facilitate energy generation in association with basic operational concepts. The aim of the hedging policies was to reduce the water release in some periods even when there was enough water for serving all sectors of water demand. Consequently, the water level in the reservoir would be higher and this would be beneficial for energy generation. This research used the reservoir water balance concept to construct a reservoir operational model and applied the optimization approach with a genetic algorithm to find the optimal parameters of each policy. The Ubolratana Reservoir in Thailand was selected as the study area. The simulated results and their performance based on the reservoir operational model with the optimal hedging policies using daily long term data from 1970 to 2010 showed that using the various types of optimal hedging for the reservoir operation produced higher levels of firm energy. Moreover, the two types of multiple hedging gave better performance in terms of higher energy production compared to the existing rule curve. Additionally, using optimal multiple hedging with the seasonal parameters for operation increased energy production by controlling the reservoir water level so that it did not exceed the normal pool level and was not lower than the minimum pool level. In principle, when the optimal hedging policies were applied, the water storage in the reservoir was strictly limited and did not encroach the surcharge storage and inactive zones in some critical drawdown and fulfilled periods. Therefore, some water storage was kept in the active storage zone and was beneficial for energy generation together with other off-stream uses downstream.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 046, Issue 5, Sep 12 - Oct 12, Page 812 - 825 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Reliability Based Multireservoir System Operation for Mae Klong River Basin)

ผู้เขียน:Imgอารียา ฤทธิมา, Imgดร.วราวุธ วุฒิวณิชย์, รองศาสตราจารย์

สื่อสิ่งพิมพ์:pdf

Abstract

Because of the uncertainty of hydrologic process and the increasing trend of water demand, the reliability-risk concept was adopted for evaluating a long term multireservoir system operation characteristics. The reliability based multireservoir operation model of Mae Klong River Basin was developed in term of limit state function by using the daily hydro-meteorological data from 1985 to 2004. The reliability concept was applied to classify the failure domain in terms of load and resistance. The failure domain was classified into 3 modes namely flood mode, shortage mode, and energy mode. The objective of this study was to evaluate the reliability indices of the existing and future system states and also to forecast the maximum possible firm yield of Mae Klong multireservoir system at the various reliability levels. The result showed that the existing operation at 6,975 mcm/yr of average water demand gave the good performance with the reliability of 98.60%, 99.80-100%, and 73.60% for mode 1, 2, and 3 respectively. If there was 25% increase of the average water demand, the reliability of shortage mode would decrease to 95.60% and the reliability of energy mode would decrease to 51%. However, it did not influence to the reliability of flood mode. The result of possible firm yield forecasting considered from shortage mode indicated that at the reliability of 80%, 85%, 90%, and 95%, the maximum possible firm yields were 10,979, 10,672, 10,114, and 9,451 mcm/yr respectively. In other words, if the higher shortage risk was allowed, the higher firm yield could be utilized.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 040, Issue 3, Jul 06 - Sep 06, Page 809 - 823 |  PDF |  Page 

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ที่มา:วิทยานิพนธ์ ปริญญาเอก (จาก: บัณฑิตวิทยาลัย มก. และสำนักหอสมุด มก.)

หัวเรื่อง:การปฏิบัติงานของระบอ่างเก็บน้ำบนพื้นฐานความน่าเชื่อถือได้

ผู้เขียน:Imgอารียา ฤทธิมา

ประธานกรรมการ:Imgดร.วราวุธ วุฒิวณิชย์, รองศาสตราจารย์

กรรมการวิชาเอก:Imgดร.วิชัย กิจวัทวรเวทย์, รองศาสตราจารย์, Imgดร.เจษฎา แก้วกัลยา, รองศาสตราจารย์, Imgดร.บัญชา ขวัญยืน, รองศาสตราจารย์

สื่อสิ่งพิมพ์:pdf

Abstract


Dissertation/Thesis Info
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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Hedging Policy for Reservoir System Operation: A Case Study of Mun Bon and Lam Chae Reservoirs)

ผู้เขียน:Imgอารียา ฤทธิมา

สื่อสิ่งพิมพ์:pdf

Abstract

A reservoir operation model of Mun Bon and Lam Chae reservoirs was developed to simulate reservoir operation using a hedging policy. A variety of common hedging forms was specified, including one-point hedging, two-point hedging and zone-based hedging. The simulated results were compared with the standard operating policy and probability based rule curve. The percentage of failure frequency, average annual shortage and end water availability were explored. Additionally, three reservoir performance indices, in terms of time-based reliability, vulnerability and resiliency were evaluated. The results indicated that two-point and three-point hedging performed well for all components of reservoir behavior compared with the standard operating policy and other hedging policies. The main outcome was that the risk of a water shortage during the simulation period could be reduced and some water could be retained for use in later periods.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 043, Issue 4, Oct 09 - Dec 09, Page 833 - 842 |  PDF |  Page 

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ที่มา:วิทยาสารเกษตรศาสตร์ สาขา วิทยาศาสตร์

หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Application of Artificial Neural Networks for Reservoir Inflow Forecasting)

ผู้เขียน:Imgดร.วราวุธ วุฒิวณิชย์, รองศาสตราจารย์, ImgSanti Thongpumnak, Imgนายนิมิตร เฉิดฉันท์พิพัฒน์, ผู้ช่วยศาสตราจารย์, Imgอารียา ฤทธิมา, ImgNattaphun Kasempun

สื่อสิ่งพิมพ์:pdf

Abstract

This study showed the application of the Artificial Neural Networks in forecasting the reservoir inflow. Two cases were studied, (1) single reservoir inflow forecasting and (2) multi-reservoir inflow forecasting. The problems were formulated as daily, weekly and monthly inflow forecast. There were 4 types of model namely A, B, C and D according to the levels of data used as the input variables to the ANNs. Model A used all available data of that reservoir. Model B used the data having relatively high correlation with the reservoir inflow such as the first 3 lags of reservoir inflow, stream flow, rainfall and some meteorological data. Model C used only the first 3 lags of the reservoir inflow and stream flow data. Model D used the first 3 lags of reservoir inflow, stream flow and rainfall data. The 4 reservoirs namely Mun Bon, Lam Chae, Lam Phra Phloeng and Lam Takong reservoirs in Upper Mun basin, Nakhon Ratchasima province, were selected as the case study. Feed forwards back propagation algorithm was selected for the study. One to 3 hidden layers with different ANNs parameters were experimented. Two to 3 hidden layers were suitable for single reservoir problem while 1 to 2 hidden layers were suitable for multi-reservoir problem. Sigmoid transfer function was used in all the models. The initial weight, learning rate and momentum were in the ranges of 0.80-0.90. However they were not sensitive to prediction performance. For single reservoir forecasting, models A and B showed better performance (R2) than models C and D. The monthly model showed the better result than the weekly and daily models. For multi-reservoir forecasting, the performance of the 4 models was not different. Model C was recommended since it required less data. The training and testing performance of daily, weekly and monthly models were not much different in case of multi-reservoir.

Article Info
Agriculture and Natural Resources -- formerly Kasetsart Journal (Natural Science), Volume 040, Issue 1, Jan 06 - Mar 06, Page 247 - 259 |  PDF |  Page 

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Researcher

ดร. วราวุธ วุฒิวณิชย์, รองศาสตราจารย์

ที่ทำงาน:ภาควิชาวิศวกรรมชลประทาน คณะวิศวกรรมศาสตร์ กำแพงแสน

สาขาที่สนใจ:อุทกวิทยา, การจัดการน้ำ

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