• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.537_538
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• 2009

본 논문의 목적은 전력 소비자 입장에서 비용 최소화를 하는 DR(Demand Response)프로그램의 설계이다. 이는 DR자원을 입찰받는 환경에서 시장의 가격을 고려하여 DR자원의 투입량과 그 보상금을 결정하는 것에 초점을 맞추고 있다. 또한 수요 감축이 이루어진 후에 발생하는 수요증가현상(Payback)현상을 고려하였다. payback 현상을 고려하지 않고 DR프로그램을 설계할 경우 당장의 피크를 줄이기 위해 많은 DR자원 투입하는 경우가 있다. 이런 경우 당장의 피크는 없어지지만 추후의 증가하는 수요에 의해 제2의 피크가 발생하거나 비용이 증가하는 현상이 생긴다. 따라서 Payback은 DR프로그램을 실행하는데 있어서 반드시 고려되어야할 중요한 현상이다. 본 논문에서는 몇 가지 payback 모델을 바탕으로 소비자 입장에서 비용 최소화하는 DR프로그램을 구현하였다.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.11
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• pp.498-504
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• 2006

This paper describes the simple payback period analysis of small co-generation system based on the existing apartment and building data. First, We investigate apartment and building data more than $2000[m^2]$ using Ministry of Construction & Transportation's computer system. And then we calculate the latent amount of small co-generation system considering gas company and CHP. Second, we classify the latent amount of small co-generation system into office, hospital, hotel, department store, complex building and apartment. Finally, we perform the simple payback period analysis for small co-generation system. The results show the simple payback period of small co-generation system is less then 10 years.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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• pp.154-155
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• 2014

Small photovoltaic equipment spreads to the detached house owing to the support of government. This study analyzed the payback period of small photovoltaic equipment, and presented a plan of spreading PV equipment by electricity consumption according to the results. The results of payback period analysis showed that a household of 500kWh or above in the average monthly electricity consumption could produce an economic effect without the subsidies of government, and a household of 300kWh or above could secure economical efficiency in case of receiving the subsidies of government and municipality. However, it was shown that the economic effect was not large in case of a household of less than 250kWh. Therefore, the analysis showed that it would be necessary to be supported by additional subsidies or to develop a new supporting policy with regard to a household of less than 250kWh.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.10 no.6
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• pp.773-783
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• 1998

The heating system for apartment complex may be classified as old systems including central system with steam boiler(S1), gas engine driven heat pump system(S2), system using waste heat(S3) and new systems including mechanical vapor re-compression system with flashing heat exchangers(S4), system using methanol(S5), system using metal hydride (S6). The purpose of the present study is to suggest optimal heating system by technically, economically and environmentally evaluating old and new heating systems of apartment complex from 500 to 3,000 households. Economic evaluation based on the technical evaluation results which estimated heat transfer area of heat exchangers and capacity of equipments was estimated initial investment cost, annual operating cost and relative payback period by considering annual increasing rates of energy cost and interest. Environmental evaluation provided annual generation rate of carbon dioxide. Initial investment cost was cheap in the order of S6, S5, S3, S2, S4, S1, annual operating cost was cheap in the order of S1, S2, S4, S5 and relative payback period was short in the order of S6, S5, S2, S3 and S4. Relative payback period was within 8 years for all scenarios of 3,000 households, and was increased as annual increasing rates of energy cost and interest were increased. As transportation pipe length was increased twice, payback period was increased by 1.4~2.6 time. The effect of temperatures of waste gas and waste water on the relative payback period was small within 0.8 years. The annual generation rate of carbon dioxide was big in the order of S4, S2 and S1. S4 was the most economic system among whole scenarios when S1 was replaced with other scenarios.

• KIEAE Journal
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• v.15 no.6
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• pp.57-62
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• 2015

Purpose: This study, which is based on the investment payback periods, aims to suggest the proper insulation level which can be adapted to the Defense Military Facility Criteria regarding the military residential condominiums. For the energy performance simulation, it is required to collect the residential data regarding the military condominiums and climatic data concerning the regions they belongs to. The estimates through energy performance simulation are the regional heating loads and the heating transmission coefficients of building components. Method: With the heating loads, the annual heating cost saving per square meters is assessed. With the heating transmission coefficients of building components, the additional insulation installment cost per square meters is evaluated. With two outcomes, one as an annual value and the other as a present value, the investment payback period is calculated. Result: In result, it could be concluded that 55~70% insulation ratio can lead a superior residental environments as well as be contributed to the national policy associated with zero-energy buildings because the estimated investment payback period is shorter than the life span of the military residental condominiums. This upshot can be used as a foundation to enactment the Defense Military Facility Criteria associated with military residential condominiums.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.7 no.1
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• pp.59-64
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• 2011

Feasibility study on energy saving system by utilizing exhausted heat from subway, which is one of the unused energy, was carried out. General heat source system using absorption chiller-heater was used for comparing to the energy saving system, and payback period method using initial cost and running cost of two systems, was used to perform economic estimation. Payback period was about ten years, and this period might be shortened if nation's economic support enact.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.5 no.2
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• pp.1-6
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• 2009

In this paper, RETScreen program model has been investigated to predict the economic analysis for greenhouse and livestock facility. Load calculation result was 35.2[kW] of greenhouse and the calculation result of livestock facility was 35.5[kW]. Also, a case study of the RETScreen program indicated that the equity payback is 6.9 years for a greenhouse facility and the equity payback is 9.5 years for a livestock facility.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.311-314
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• 2001

This paper describes the optimizing method of direct load control (DLC) considering unit commitment which is based on dynamic programming. To solve DLC problem considering unit commitment, 3-dimensional dynamic programming as a new unit commitment method is developed. And, energy payback is concerned for DLC. As a result, optimization of operating schedule with DLC is possible. This method is applied to the test system, and usefulness of the method is verified.

• Journal of Magnetics
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• v.16 no.4
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• pp.379-385
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• 2011

This paper presents an optimal design of a direct-drive permanent magnet synchronous generator for a small-scale wind energy conversion system. An analytical model of a small-scale grid-connected wind energy conversion system is presented, and the effects of generator design parameters on the payback period of the system are investigated. An optimization procedure based on genetic algorithm method is then employed to optimize four design parameters of the generator for use in a region with relatively low wind-speed. The aim of optimization is minimizing the payback period of the initial investment on wind energy conversion systems for residential applications. This makes the use of these systems more economical and appealing. Finite element method is employed to evaluate the performance of the optimized generator. The results obtained from finite element analysis are close to those achieved by analytical model.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.27 no.1
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• pp.17-23
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• 2013

The BESS(Battery Energy Storage System) is an useful device for load leveling, but the high cost, installation space and safety issues are the main barriers for supplying it widely. The important factor in supplying BESS to customers successfully is the payback period. As most of the H/W cost factors are uncontrollable, the optimization of storage volume can be useful factor in improving payback period. In order to obtain optimized BESS volume, the load factor, demand ratio, peak shaving ratio, electric rates and benefits from DR participation of customer should be analyzed. In this paper, we could verify the peak cutting capability and cost effectiveness under the some proposed conditions and changing value of PCS and battery based on the customers data after volume optimization process was applied, and we can identified the saturation point of load factor and shortening of customer's payback period.