• Title/Summary/Keyword: Electricity consumption

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Comparing the Impacts of Renewable Energy Policies on the Macroeconomy with Electricity Market Rigidities: A Bayesian DSGE Model (전력시장의 경직성에 따른 국가 재생에너지 정책이 거시경제에 미치는 영향 분석: 베이지언 DSGE 모형 접근)

  • Choi, Bongseok;Kim, Kihwan
    • Environmental and Resource Economics Review
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    • v.31 no.3
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    • pp.367-391
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    • 2022
  • We develop an energy-economy Bayesian DSGE model with the two sectors of electricity generations-traditional (fossil, nuclear) and renewable energy. Under imperfect substitutability between the two sectors, a technological shock on renewable energy sectors does not sufficient to facilitate energy conversion and reduce greenhouse gas emissions. Technology innovation on greenhouse gas emission reduction is also required. More importantly, sufficient investment should be derived by a well-functioning electricity market where electricity price plays a signal role in efficient allocation of resources. Indeed, market rigidities cause reduced consumption.

Electricity Generation Coupled with Wastewater Treatment Using a Microbial Fuel Cell Composed of a Modified Cathode with a Ceramic Membrane and Cellulose Acetate Film

  • Seo, Ha-Na;Lee, Woo-Jin;Hwang, Tae-Sik;Park, Doo-Hyun
    • Journal of Microbiology and Biotechnology
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    • v.19 no.9
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    • pp.1019-1027
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    • 2009
  • A noncompartmented microbial fuel cell (NCMFC) composed of a Mn(IV)-carbon plate and a Fe(III)-carbon plate was used for electricity generation from organic wastewater without consumption of external energy. The Fe(III)-carbon plate, coated with a porous ceramic membrane and a semipermeable cellulose acetate film, was used as a cathode, which substituted for the catholyte and cathode. The Mn(IV)-carbon plate was used as an anode without a membrane or film coating. A solar cell connected to the NCMFC activated electricity generation and bacterial consumption of organic matter contained in the wastewater. More than 99% of the organic matter was biochemically oxidized during wastewater flow through the four NCMFC units. A predominant bacterium isolated from the anode surface in both the conventional and the solar cell-linked NCMFC was found to be more than 99% similar to a Mn(II)-oxidizing bacterium and Burkeholderia sp., based on 16S rDNA sequence analysis. The isolate reacted electrochemically with the Mn(IV)-modified anode and produced electricity in the NCMFC. After 90 days of incubation, a bacterial species that was enriched on the Mn(IV)-modified anode surface in all of the NCMFC units was found to be very similar to the initially isolated predominant species by comparing 16S rDNA sequences.

Comparison of operational efficiency between sand-filtration process and membrane filtration process (모래여과 공정과 막여과 공정의 운영효율 비교)

  • Byeon, Kwangjin;Jang, Eunsu
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.6
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    • pp.529-537
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    • 2017
  • Membrane filtration process is an advanced water treatment technology that has excellently removes turbidity and microorganisms. However, it is known that it has problems such as low economic efficiency and the operating stability. Therefore, this study was to evaluate on the economical feasibility and operational stability comparison of membrane and sand filtration process in Im-sil drinking water treatment plant. For the economic analysis of each process, the electricity cost and chemical consumption were compared. In the case of electric power consumption, electricity cost is $68.67KRW/m^3$ for sand filtration and $79.98KRW/m^3$ for membrane filtration, respectively. Therefore, membrane filtration process was about 16% higher than sand filtration process of electricity cost. While, the coagulant usage in the membrane filtration process was 43% lower than the sand filtration process. Thus, comparing the operation costs of the two processes, there is no significant difference in the operating cost of the membrane filtration process and the sand filtration process as $85.94KRW/m^3$ and $79.71KRW/m^3$ respectively (the sum of electricity and chemical cost). As a result of operating the membrane filtration process for 3 years including the winter season and the high turbidity period, the filtrated water turbidity was stable to less than 0.025 NTU irrespective of changes in the turbidity of raw water. And the CIP(Clean In Place) cycle turned out to be more than 1 year. Based on the results of this study, the membrane filtration process showed high performance of water quality, and it was also determined to have the economics and operation stability.

A Study on the Infrastructure of All-electric Houses in the Viewpoint of Hydrogen Economy (수소경제 관점의 전기에너지주택 보급기반 구축에 관한 연구)

  • Hwang, Sung-Wook;Lee, Hyeon-Ju;Kim, Kang-Sik;Nah, Hwan-Seon;Kim, Jung-Hoon
    • Transactions of the Korean hydrogen and new energy society
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    • v.23 no.1
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    • pp.100-109
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    • 2012
  • In this paper, some ideas are proposed to establish the infrastructure of all-electric houses which are able to reduce primary energy consumption and $CO_2$ emission by adopting heat pump systems and induction heating cookers excluding the use of fossil fuel energy. This electrification concept is based on the consumption of only one type of energy which means electricity as secondary energy and the conventional fossil fuel energy is just consumed to generate electricity as primary energy. All-electric house is laid on the extension of the hydrogen economy in a long-term viewpoint so that the effectiveness of this new conceptual house is estimated analyzing the reduction of $CO_2$ emission. In this analysis, the balance of electricity supply and demand is considered including the construction of new power plants by renewable energy such as nuclear, IGCC and fuel cell because decarbonization is an essential element of hydrogen technology and economy and this action is accomplished in both supply and demand side of electricity. The results are able to contribute to develop various useful hydrogen policies and strategies and some detail researches are required previously to make the best application of this new conceptual house.

A Study on the Optimum Design of a Facade with Shading-type BIPV in Office Building (차양형 BIPV가 적용된 사무소 건물의 외피 최적 설계에 관한 연구)

  • Park, Se-Hyeon;Kang, Jun-Gu;Bang, Ah-Young;Kim, Jun-Tae
    • Journal of the Korean Solar Energy Society
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    • v.35 no.2
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    • pp.93-101
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    • 2015
  • Zero energy building is a self sufficient building that minimizes energy consumption through passive elements such as insulation, high performance window system and installing of high efficiency HVAC system and uses renewable energy sources. The Korea Government has been strengthening the building energy efficiency standard and code for zero energy building. The building energy performance is determined by the performance of building envelope. Therefore it is important to optimize facade design such as insulation, window properties and shading, that affect the heating and cooling loads. In particular, shading devices are necessary to reduce the cooling load in summer season. Meanwhile, BIPV shading system functions as a renewable energy technology applied in solar control facade system to reduce cooling load and produce electricity simultaneously. Therefore, when installing the BIPV shading system, the length of shadings and angle that affect the electricity production must be considered. This study focused on the facade design applied with BIPV shading system for maximizing energy saving of the selected standard building. The impact of changing insulation on roof and walls, window properties and length of BIPV shading device on energy performance of the building were investigated. In conclusion, energy consumption and electricity production were analyzed based on building energy simulations using energyplus 8.1 building simulation program and jEPlus+EA optimization tool.

A Study on the CO2 Reduction Potential by Means of Increased Efficiency of the Electricity (제조업 전력 사용 효율성 제고를 통한 온실가스(CO2) 감축 잠재량 추정에 관한 연구)

  • Min, Dong-Ki
    • Journal of Environmental Policy
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    • v.9 no.3
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    • pp.143-160
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    • 2010
  • This paper estimate the $CO_2$ reduction potential that can be achieved by improving the technical efficiency of input factors in the manufacturing sector. Technical efficiency in each manufacturing firm was estimated using the DEA technique. Depending on the returns-to-scale assumption selected, average technical efficiency was estimated to be between 0.467 and 0.643. These estimates suggest that, when the efficiency of electricity consumption in the manufacturing sector is improved, the overall $CO_2$ emissions can be reduced by 17.1-25.5%. Recently, the Korean government has adopted a low-carbon-green-growth policy with the goal of reducing greenhouse gas emissions by 30% below the BAU level by year 2020. The analysis of the paper suggests that this goal can be achieved through improved efficiency of electricity consumption.

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Nonlinear impact of temperature change on electricity demand: estimation and prediction using partial linear model (기온변화가 전력수요에 미치는 비선형적 영향: 부분선형모형을 이용한 추정과 예측)

  • Park, Jiwon;Seo, Byeongseon
    • The Korean Journal of Applied Statistics
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    • v.32 no.5
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    • pp.703-720
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    • 2019
  • The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

Thermal Conductivity Effect of Heat Storage Layer using Porous Feldspar Powder (다공질 장석으로 제조한 축열층의 열전도 특성)

  • Kim, Sung-Wook;Go, Daehong;Choi, Eun-Kyeong;Kim, Sung-Hwan;Kim, Tae-Hyoung;Lee, Kyu-Hwan;Cho, Jinwoo
    • Economic and Environmental Geology
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    • v.50 no.2
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    • pp.159-170
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    • 2017
  • The temporal and spatial temperature distribution of the heat storage mortar made of porous feldspar was measured and the thermal properties and electricity consumption were analyzed. For the experiment, two real size chambers (control model and test model) with hot water pipes were constructed. Two large scale models with hot water pipes were constructed. The surface temperature change of the heat storage layer was remotely monitored during the heating and cooling process using infrared thermal imaging camera and temperature sensor. The temperature increased from $20^{\circ}C$ to $30^{\circ}C$ under the heating condition. The temperature of the heat storage layer of the test model was $2.0-3.5^{\circ}C$ higher than the control model and the time to reach the target temperature was shortened. As the distance from the hot water pipe increased, the temperature gap increased from $4.0^{\circ}C$ to $4.8^{\circ}C$. The power consumed until the surface temperature of the heat storage layer reached $30^{\circ}C$ was 2.2 times that of the control model. From the heating experiment, the stepwise temperature and electricity consumption were calculated, and the electricity consumption of the heat storage layer of the test model was reduced by 66%. In the cooling experiment, the surface temperature of the heat storage layer of the test model was maintained $2^{\circ}C$ higher than that of the control model. The heat storage effect of the porous feldspar mortar was confirmed by the temperature experiment. With considering that the time to reheat the heat storage layer is extended, the energy efficiency will be increased.

Development of Home Electrical Power Monitoring System and Device Identification Algorithm (가정용 전력 모니터링 시스템 및 장치식별 알고리즘 개발)

  • Park, Sung-Wook;Seo, Jin-Soo;Wang, Bo-Hyeun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.407-413
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    • 2011
  • This paper presents an electrical power monitoring system for home energy management and an automatic appliance-identification algorithm based on the electricity-usage patterns collected during the monitoring tests. This paper also discusses the results of the field tests of which the proposed system was voluntarily deployed at 13 homes. The proposed monitoring system periodically measures the amount of power consumption of each appliance with a pre-specified time interval and effectively displays the essential information provided by the monitored data which is required users to know in order to save power consumption. Regarding the field tests of the monitoring system, the households responded that the system was useful in saving electricity and especially the electricity-usage patterns per appliances. They also considered that the predicted amount of the monthly power consumption was effective. The proposed appliance-identification algorithm uses 4 patterns: Zero-Crossing Rate(ZC), Variation of On State(VO), Slope of On State(SO) and Duty Cycle(DC), which are applied over the 2 hour interval with 25% of it on state, and it yielded 82.1% of success rate in identifying 5 kinds of appliances: refrigerator, TV, electric rice-cooker, kimchi-refrigerator and washing machine.

Analysis of the 2nd Pilot Test of Time of Use (TOU) Pricing for Korean Households (주택용 계시별 요금제 2차 실증사업의 효과 분석)

  • Kim, Jihyo;Lee, Soomin;Jang, Heesun
    • Environmental and Resource Economics Review
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    • v.31 no.2
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    • pp.205-232
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    • 2022
  • This study analyzes the effect of the 2nd pilot test of Tiime of Use (TOU) pricing for Korean households using a two-level electricity demand model. The test, implemented from May to September 2021, was conducted to compare the effects of two TOU pricing rates and the standard rates for households living in apartment and detached house in 7 provinces of Korea. Based on the data on electricity consumption during the test period and during the same period last year of the 1,292 participants and their socio-economic characteristics, this study analyzes (1) whether the relative demand across periods has changed in response to hourly price changes and (2) whether the price responsiveness of daily consumption has changed after the introduction of TOU pricing. The results show that both types of TOU pricing affect neither the relative demand across periods nor the price responsiveness of daily consumption. The reason behind the results could be related to the level of TOU pricing rates and the periodical classification, which were not sufficient to induce changes in the participants' electricity demand patterns.