• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.6
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• pp.9-20
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• 2015

The demand of renewable energy is expected to grow in the long run in spite of current stable lower oil prices. Energy consumption for heating in horticulture greenhouse is large and affects the profits of the farms. This study analyzed the availability of biomass in rural area and proposed the strategies for utilizing the biomass for greenhouse heating. Data reveal the annual average fuel consumption in greenhouses is about 78 TOE/ha. Considering biomass resource in rural areas, agricultural residues are not sufficient to meet the biomass demand from greenhouses. Therefore it is recommended to secure further biomass including wild herbaceous biomass and woody biomass from forest. Based on the conditions of biomass gasification equipment investment and fuel prices, maximum allowable price of biomass turned out about 100,000 KRW/t to be competitive to kerosine. Biomass supply chain should be established for facilitating biomass trading between biomass consumers and biomass producers such as farmers who provide crop residues. An online trading system is an example of the system where consumers who utilize biomass make payments to suppliers and get the information about the biomass. Intermediate collection storages are required to store biomass from distributed sources. Operation of biomass heating systems in demonstration greenhouses is necessary to get information to refine and further develop commercial biomass heating systems. Relatively large greenhouses are desirable to have biomass heating systems for economic viability. The location of the greenhouse farms should be selected within the area where enough biomass resources are available for feeding the biomass facility.

• Environmental and Resource Economics Review
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• v.25 no.3
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• pp.377-401
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• 2016

This study analyzes how much cost the power generation and energy sector in South Korea have to bear due to the introduction of emissions trading scheme during 2016 - 2017. To this end, the data on the seventh basic plan for long-term electricity supply and demand is applied to the electricity market simulation model called M-Core, and then the model forecasts carbon dioxide emissions to compare with the free emission allowances in the first national emissions permit allocation plan. The main results are as follows. Carbon dioxide emissions are estimated to be less in 2016 but more than the free emission allowances in 2017. When the price of the allowances is changed from \10,000/ton to \20,000/ton, the cost of purchasing the allowances is ranged from \70 billion to \140 billion. Under the assumption that CO2 cost is incorporated into the variable cost, a reversal of merit order between coal and LNG generation takes place when the price of the allowances exceeds \80,000/ton.

• Advances in Energy Research
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• v.8 no.4
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• pp.243-252
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• 2022

The hybrid wind-solar energy concept has a big influence on the spread of wind and solar power projects in India since it combines the benefits of both industries while also providing extra benefits such as resource sharing such as land, infrastructure, and power evacuation systems. Furthermore, while the hybrid policy may reduce certain barriers to the installation of wind and solar energy in India, there are still some issues that must be resolved rapidly in order to ensure a sustainable installation. According to the study's findings, the installation of wind and solar power plants is significantly influenced by energy policy. The wind-solar hybrid energy strategy will also be crucial in the near future for growing the usage of renewable energy sources. Aside from that, the establishment of Green Energy Open Access (GEOA) and the restart of the trading of Renewable Energy Certificates (REC) would promote the quick deployment of standalone and hybrid renewable power projects throughout the nation, enabling it to reach 500 GW of installed non-fossil energy capacity by 2030.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2373-2382
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• 2011

As the government set the direction for Green Growth recently, so local government struggles to obtain carbon emissions trading. In the center of this global environment atmosphere, the quantitative targets would be suggested by some developed countries. In case of a international green movement like this, it would have been being induced from by crystallizing of economic and environmental regulations and legal policies that not only a meter-rate system of carbon emissions but also application for regenerate energy. In this paper, we researched cultivating of energy storage system(ESS) to conjugate regenerative energy of train, an energy efficiency and cultivating cost etc. In conclusion, we would acknowledge a difficulty in cultivating ESS only for cost reduction of energy consumption, so governmental policies for green growth should be thoughtfully examined.

• Transactions of the Korean hydrogen and new energy society
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• v.21 no.3
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• pp.241-247
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• 2010

An Energy Efficiency Resource Standards (EERS) is a simple, market-based mechanism to encourage more efficient generation, transmission, and use of electricity, natural gas and heat. An EERS consists of electric, gas and/or heating energy savings targets for utilities, often with flexibility to achieve the target through a market-based trading system. In this paper, we make persons acquainted with EERS programs of foreign countries in these days. And we analyze domestic energy demand side management (DSM) programs in order to introduce an EERS program into the country successfully. Energy efficiency potential calculated in 2007 is one of the important factors for establishing an EERS program domestically. This study may provide basic data to set the amount of energy saving when an EERS program would be phased in.

• Smart Media Journal
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• v.9 no.3
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• pp.18-24
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• 2020

Existing energy was a system produced by a specific company and sold to consumers, but it is expected that in the near future, producers will become consumers and consumers will become producers. Recently, the emergence of cloud systems, 5G network construction, and energy reuse, including solar energy, are changing the shape of the energy market. In order to share energy, there are various agent systems, energy networks, and structures that form markets. In this study, we defined the above three and proposed a strategy using the Secure Energy Model (SEM) by applying a blockchain for a safe and fair energy market. The analytical results showed that the trust between the energy producers and consumers participating in the energy trade was formed.

• Environmental Engineering Research
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• v.21 no.4
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• pp.409-419
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• 2016

As a major energy consumption province, the issue about the carbon emissions in Hebei Province, China has been concerned by the government. The carbon emissions can be effectively reduced due to a more rational energy consumption structure. Thus, in this paper the constraint of low carbon emissions is considered as a foundation and four energies--coal, petroleum, natural gas and electricity including wind power, nuclear power and hydro-power etc are selected as the main analysis objects of the adjustment of energy structure. This paper takes energy cost minimum and carbon trading cost minimum as the objective functions based on the economic growth, energy saving and emission reduction targets and constructs an optimization model of energy consumption structure. And empirical research about energy consumption structure optimization in 2015 and 2020 is carried out based on the energy consumption data in Hebei Province, China during the period 1995-2013, which indicates that the energy consumption in Hebei dominated by coal cannot be replaced in the next seven years, from 2014 to 2020, when the coal consumption proportion is still up to 85.93%. Finally, the corresponding policy suggestions are put forward, according to the results of the energy structure optimization in Hebei Province.

• Asia pacific journal of information systems
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• v.27 no.2
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• pp.99-125
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• 2017

In this study, we propose an operations model to automate a home energy management system (HEMS) that utilizes an energy storage system (ESS) in consideration of consumer utility. Most previous studies focused on the system for the profits obtained from trading charged energy using large-scale ESS. By contrast, the present study focuses on constructing a home-level energy management system that considers consumer's utility over energy consumption. Depending on personal preference, some residential consumers may prefer consuming additional energy to earn increased profits through price arbitrage and vice versa. However, the current system could not yet reflect on this aspect. Thus, we develop an operations model for HEMS that could automatically control energy consumption while considering the level of consumer's preference and the economic benefits of using an ESS. The results of simulations using a dataset of the Korean market show that an operations policy of charging and discharging can be changed depending on consumer's utility. The impact of this policy is not ignorable. Moreover, the technical specifications of ESS, such as self-discharge rate and round-trip efficiency, can affect the operations policy and automation of HEMS.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.199-228
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• 2011

In this study, the effect on the economy-energy-environment gap among regions of reducing GHGs is analyzed under various scenarios, using a multiregional dynamic CGE model. Regions in Korea are classified as six metropolitan areas. Scenarios are set in three cases such as self-regulatory measures, carbon tax and emissions trading scheme. The reduction target under each scenario is again classified according to volume basis and intensity basis. In results, self-regulation is shown to deepen the economic divide mostly, followed by a carbon tax, emissions trading scheme in order. This result could be interpreted such that a system based on market incentives gives less effect on the gap among regions. However, market incentives based system is expected to take time to build. Thus in implementing policies to increase short-term effects of the reduction targets, complementary policies are needed to reduce the regional devide.

• KIEAE Journal
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• v.17 no.3
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• pp.75-81
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• 2017

Purpose: The energy consumption of apartment units is affected by the lifestyle of the residents rather than system technology. In this study the numerical analysis of assumed energy consumption correlation factors with arbitrary value due to uncertainty. It is intended to be used as a simulation correction value which can be utilized as a predicted value of actual energy usage. The correction value of the simulation is set in the developed form of the existing process that derives the actual usage amount. The simulation results used in the existing evaluation system are used to maintain the useful value as the current system evaluation scale and predict the actual capacity. Method: The method of the study is to statistically analyze the data frames of all complexes capable of collecting the annual energy usage and to reconstruct the population by adding the variables that are expected to be correlated. Repeat the data frame configuration with variables that are assumed to be highly correlated with energy use levels. Determine whether there is correlation or not. The intensity of the external characteristics of the building equipment related to the energy consumption is presented as the quantitative value. Result: The correlation between electricity consumption and trading price since 2010 is analyzed as (Correlation coefficient 0.82). These results are higher than (Correlation coefficient 0.79), which is the correlation between residential area and trading price. This paper signifies the starting point of the methodology that broadens the field of view of verification of simulation feasibility limited to the prediction technique focused on the simulation tool and the element technology scope.The diversified phenomenon reproduction method develops the existing energy simulation method.It can be completed with a simulation methodology that can infer actual energy consumption.