• Title/Summary/Keyword: Annual Load

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AN EVALUATION OF ENERGY PERFORMANCE IN SUPER HIGH-RISE APARTMENT HOUSING WITH EXTERIOR WINDOW TYPES

  • Sang-Ho Lee;Yong-Ho Park;Jong-Chan Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1637-1642
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    • 2009
  • This study evaluates the energy performance of super high-rise residential buildings with e-QUEST simulation and calculates the annual cooling and heating load. The result of this study have concluded that the most influential factor is the characteristics of the window and also suggest the most efficient window system from the result of calculation of different glasses' cooling and heating load. The result of this study shows that The most efficient method to enhance the energy performance is to use low reflective 3 pairs Low-E glass and Low-E coating(inside of outer glass) pair glass.

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The Allocation Methods for Economical Efficiency Using an Optimized Model (최적화 모델을 이용한 경제적인 총량관리 할당기법 연구)

  • Choi, In Uk;Shin, Dong Seok;Kim, Hong Tae;Park, Jae Hong;Ahn, Ki Hong;Kim, Yong Seok
    • Journal of Korean Society on Water Environment
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    • v.31 no.3
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    • pp.295-303
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    • 2015
  • In Korea, Total Maximum Daily Loads(TMDLs) has been enforced to restore and manage water quality in the watersheds. However, some assesment of implementation plan of TMDLs showed that the achievement of the target water quality is not related to the proper allocation loads because difference of flow duration interval. In the United States, the discharge loads are determined by water quality modeling considering standard flow conditions according to purpose. Therefore, this study tried to develop the allocation method considering economical efficiency using water quality model. For this purpose, several allocation methods being used in the management of TMDLs is investigated and develope an allocation criteria considering regional equality and uniformity. Since WARMF(Watershed Analysis Risk Management Framework) model can simulate the time varying behavior of a system and the various water quality variables, it was selected for a decision support system in this study. This model showed fairly good performance by adequately simulating observed discharge and water quality in Miho watershed. Furthermore, the scenario simulation results showed that the effect of annual average water quality improvement to remove 1kg BOD is more than 25 times, even if point pollutants treatment facility is six times more expensive to operate than non-point pollutants treatment facility.

Development of Design Blast Load Model according to Probabilistic Explosion Risk in Industrial Facilities (플랜트 시설물의 확률론적 폭발 위험도에 따른 설계폭발하중 모델 개발)

  • Seung-Hoon Lee;Bo-Young Choi;Han-Soo Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.1
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    • pp.1-8
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    • 2024
  • This paper employs stochastic processing techniques to analyze explosion risks in plant facilities based on explosion return periods. Release probability is calculated using data from the Health and Safety Executive (HSE), along with annual leakage frequency per plant provided by DNV. Ignition probability, derived from various researchers' findings, is then considered to calculate the explosion return period based on the release quantity. The explosion risk is assessed by examining the volume, radius, and blast load of the vapor cloud, taking into account the calculated explosion return period. The reference distance for the design blast load model is determined by comparing and analyzing the vapor cloud radius according to the return period, historical vapor cloud explosion cases, and blast-resistant design guidelines. Utilizing the multi-energy method, the blast load range corresponding to the explosion return period is presented. The proposed return period serves as a standard for the design blast load model, established through a comparative analysis of vapor cloud explosion cases and blast-resistant design guidelines. The outcomes of this study contribute to the development of a performance-based blast-resistant design framework for plant facilities.

A Study on Process Improvement for Reduction of Pollution Loading Rate in Small Individual Sewage Plant (소규모 개인하수처리시설의 MBR공정 적용에 관한 연구)

  • Eom, Han Ki;Choi, Yoo Hyun;Joo, Hyun Jong
    • Journal of Environmental Science International
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    • v.25 no.2
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    • pp.323-329
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    • 2016
  • In this study, the applicability of MBR process was evaluated to improve processing of personal sewage treatment facilities of $50m^3/day$ or less. As result of the research, stable discharge water quality could be secured as result of the MBR effector operation according to rate of inflow and inflow load and treatment efficiency of 98% or higher was shown by the membrane filtering method operation for SS, $BOD_5$. it was found that high treatment efficiency of 99% or higher. It is judged that detention time can be designed until 6.9 hr when applying MBR process on personal sewage treatment facilities with high pollution load and that cutback of pollution load can be possible through this study. It was shown that MBR process application reduces an annual cost of 4,829,600 won based on the basic unit calculation results and solves burden of amount of borne by causers according to excess of discharge water quality standards.

Flow Control of a Centralized Cooling Plant for Energy Saving (중앙식 냉방 플랜트의 유량제어를 통한 에너지 절감에 관한 연구)

  • Lee, Jeong Nam;Kim, Young Il;Chung, Kwang Seop
    • Journal of Energy Engineering
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    • v.24 no.3
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    • pp.48-54
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    • 2015
  • In a centralized cooling plant, precise mechanical design and control strategy are required for peak and partial cooling load management. Otherwise, it will lead to low efficiency of cooling system and energy loss due to low partial load efficiency. The purpose of this paper is to enhance energy performance of the centralized cooling plant by controlling flow system in an industrial building using measured data and energy performance simulation program. The simulation results show that the proposed flow control can cut down annual electric power consumption by about 17% compared with the conventional cooling system.

Estimation of Delivery Ratio Based on BASINS/HSPF Model for Total Maximum Daily Load (BASINS/HSPF 모형을 이용한 수질오염총량관리 유달율 산정방법 연구)

  • Park, Ju-Hyun;Hwang, Hasun;Rhew, Doughee;Kwon, Oh-Sang
    • Journal of Korean Society on Water Environment
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    • v.28 no.6
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    • pp.833-842
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    • 2012
  • In this study Window interface to Hydrological Simulation Program-FORTRAN (HSPF) developed by the United States Environmental Protection Agency (EPA) was applied to the upstream of Namgang watershed to estimate its applicability for estimating Delivery Ratio (DR) of water pollutants for Total Maximum Daily Load (TMDL). BASINS/HSPF which is selected in this study, is found to be appropriate for simulation of daily flow and water quality in target basins. DR was estimated utilizing discharge loads of unobserved sub-basin and delivery load of unobserved locations obtained not by actual evaluation but by simulation through validation and verification. Annual average DR of BOD, TN and TP were 0.97 ~ 1.50, 2.23 ~ 3.21, and 0.81 ~ 1.09 respectively. Net DR of dependent basins excluding influence of upstream basin was 1.50 ~ 1.70, 0.55 ~ 0.69, and 0.24 ~ 0.31, all of which are lower than those of independent basins area. Utilizing the model selected by this research, DR and Net DR of unobserved basins will be estimated, which will help determine priorities in management of basin areas.

Low-grade waste heat recovery and repurposing to reduce the load on cooling towers

  • McLean, Shannon H.;Chenier, Jeff;Muinonen, Sari;Laamanen, Corey A.;Scott, John A.
    • Advances in Energy Research
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    • v.7 no.2
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    • pp.147-166
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    • 2020
  • Industrial cooling towers are often ageing infrastructure that is expensive to maintain and operate. A novel approach is introduced in which a heat pump circuit is incorporated to reduce the load upon the towers by extracting low-grade energy from the stream sent to the towers and repurposing in on-site processing operations. To demonstrate the concept, a model was constructed, which uses industrial data on cooling towers linked to a smelter's sulphuric acid plant, to allow direct economic and environmental impact comparison between different heat recovery and repurposing scenarios. The model's results showed that implementing a heat pump system would significantly decrease annual operating costs and achieve a payback period of 3 years. In addition, overall CO2 emissions could be reduced by 42% (430,000 kg/year) and a 5% heat load reduction on the cooling towers achieved. The concept is significant as the outcomes introduce a new way for energy intensive industrial sectors, such as mineral processing, to reduce energy consumption and improve long-term sustainable performance.

A Software Development of Energy Consumption for HVAC System of Building (건물에너지 소비량 해석 소프트웨어 개발)

  • Kim B. H;Jo S. B;Kim J. P
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.19 no.2
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    • pp.67-81
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    • 1990
  • The objective of this is to develop a practical software package to calculate annual energy consumption of HVAC (Heating Ventilating, and Air Conditioning) System in a building. It can quickly estimate loads and energy consumption, and have a function of economic analysis through the estimation of operating cost. Techniques of save energy consumption used in a building are necessary from the stage of design process to operation. The single most significant task is on HVAC Systems. Their installation costs, and related operating costs have enormous influence upon initial and maintenance costs. HVAC designers and engineers now have a wide variety of software choices available, but only a few of them have been developed in this country and no source program has been disclosed. Neither load culculation nor estimation of energy consumption is systematically made by the domestic HVAC design firms. Even though computer improved over the years with a trend of large scale load calculation and system selection through simulaion, the utilization of software nowadays does not make good progress due to lack of working environment. Therefore, it is necessary to develop a practical software package with which load calculation can be made with ease and kind manner. This study concerns the development of a software package which makes it possible to design HVAC system and save energy consumption in operation. The algorithm used in this program is a Modified Bin Method widely known as a simplified energy analysis means.

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Energy Forecasting Information System of Optimal Electricity Generation using Fuzzy-based RERNN with GPC

  • Elumalaivasan Poongavanam;Padmanathan Kasinathan;Karunanithi Kandasamy;S. P. Raja
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.10
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    • pp.2701-2717
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    • 2023
  • In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

Mechanical Behaviour of Earlywood and Latewood under Longitudinal Compression Load (종압축확중하에서 춘채와 추재의 역학적 거동)

  • Kang, Chun-Won;Juichi, Tsutsumi;Jang, Sang-Sik
    • Journal of the Korean Wood Science and Technology
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    • v.29 no.2
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    • pp.76-83
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    • 2001
  • This study was carried out to clarify the mechanical behaviour of the earlywood and the latewood to the compressive load applied parallel to the grain. The results from the analysis of Japanese cedar wood (Cryptomeria japonica) were used to introduce a concept on stress-strain behaviour of the earlywood and the latewood. There was a significant differences in the mechanical behaviour of the earlyWood and the latewood. In the earlywood, the rate of cell wall upon annual ring was almost similar and the strain increased linearly with the stress increased. However, the rate of cell wall upon annual ring varied in the latewood and the strain of that increased curve-linearly with the stress increased. The longitudinal compression modulus of elasticity (MOE) variation by loading speed on latewood specimens and earlywood specimens shows no significant difference. The modulus of rupture (MOR) and MOE of latewood were about 4 times higher than those of earlywood.

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