| 摘要 | ABSTRACT
1. Research Purpose
There have been impressive developments in Korea��s energy policies over this period. A target to improve energy efficiency 46% in terms of BAU(Business As Usual) by 2030 has been adopted. In order to meet this ambitious target, the Korean government is pursuing many policies and measures in the field of energy efficiency improvement.
To increase the effectiveness of energy efficiency policies, it is necessary to conduct ex ante or ex post evaluation on the effects of the policies and to construct a database for it. However, Korea has not yet done so much on policy evaluation. The main purpose of this project is to construct a database for the evaluation of various energy efficiency policy in residential and commercial sector in Korea.
We survey the examples of constructing the database of various countries such as USA, EU, and Japan. And also we survey the domestic database for evaluating energy efficiency policies. Based on this, we examined the range of basic data for evaluating energy efficiency policies. A variety of energy-saving and efficiency- enhancing policies are currently conducted and new policies will also be conducted in Korea.
In addition, there is a need to boost the ability to evaluate and verify whether policy goals for energy conservation and efficiency policies are being carried out properly, and the initial target is achieved. The intended goals in energy efficiency cannot be achieved without the prior and posterior evaluation. Thus it is obvious that the establishment of the evaluation agency for energy efficiency policies. The agency, in addition to the monitoring, developing evaluation methodology, and metering performance, should construct and operate the database as well.
2. Summary of the study
This study surveyed the international cases of constructing the database of various countries such as US, Japan and Europe in order to set the range of DB to be developed for analyzing energy-saving policies in the domestic industry sector.
The database for Industrial Assessment Centers(IAC) is for the evaluation of energy performance of SMEs in the United States. LBNL(Lawrence Berkeley National Laboratory) ESCO database is also avaliable for the evaluation of ESCO project. In EU, ODYSSEE-MURE projects build a database for evaluating the energy saving policies and programs. Japan summarizes categorical energy data as well.
The representative policies of the domestic industrial sector are the greenhouse gas and energy target scheme, funding and tax incentives for investment in energy-saving, and ESCOs. But database for evaluating of those policies is not constructed yet. So we construct a range of database for the greenhouse gas and energy target scheme and funding and tax incentives.
For the transportation sector, This paper surveyed and analyzed cases of DB development overseas to set the range of DB to be developed for analyzing energy-saving policies in the domestic transportation sector. Classification scheme and items in basic data related to energy savings in the transportation sector have all been looked at by surveying and analyzing cases of DB development in Korea.
Satisfaction of domestic DB demand and consideration into scheme classifying cases of developing DB related to energy-saving policies in domestic/overseas transportation sectors were set as prerequisites to determine DB development range to analyze energy-saving policies in the domestic transportation sector. The foregoing prerequisites were used to establish system for classification in the broad scale under which system for classification in medium and small scales that suit one in the broader scale was set based on analysis of domestic/overseas cases to determine DB development range in the transportation sector required to analysis domestic energy-saving policies.
Accordingly, six items subject to the broadest classification were determined, i.e. energy consumption, energy basic unit, emissions of greenhouse gas, economic indicators, transportation volume/ transportation records and basic automobile data. Items under broad classification were split into medium classification and small classification, and all items included in overseas/domestic DB were accounted for to determine DB development range.
All factors including whether or not data exist, chances of obtaining data, redundancy in items and data and data consistency all need to be taken into consideration in setting DB development range to analyze policies to save energy and boost efficiency in the domestic transportation sector. These factors were all taken into account to set the direction for determining DB development range as follows.
First, all items that have acquired and manage data in Korea should be reflected to the fullest extent possible. Taking advantage of these data in developing DB delivers highest level of efficiency since domestic data are collected, processed and analyzed in stages under a system.
Second, indicators related to energy basic unit DB and energy efficiency should be used to develop domestic DB system by quoting overseas management system. Energy basic unit DB by existing transportation mode and indicators on energy efficient are hardly managed in Korea. Therefore, overseas cases of energy basic unit DB and energy efficiency indicators managed overseas should be used as a benchmark to establish domestic DB system.
Third, concerning addition of overseas DB items, likelihood of obtaining domestic data should be gauged before deciding whether or not to include in the DB development range. Any decision to add overseas DB items such as energy basic unit, which is absolutely necessary, into domestic DB development range would be meaningless if data on the item cannot be obtained. In other words, data acquisition should be considered in deciding whether or not to include overseas DB items in the DB development range.
Fourth, DB for basic data and economic indicators should be limited only to accessible range. The act of developing DB for basic data and economic indicators is to take advantage of the data and information as indicators for analyzing energy-saving policies. It is therefore important to first and foremost include items that can be used in policy analysis in the domestic DB development range.
A step getting review by energy and transportation experts and gathering their opinions is necessary to set DB development range for analyzing energy-saving policies in the domestic transportation sector. Accordingly, an in-depth interview to energy and transportation experts was carried out to gather opinion on determining DB. Professors and researchers in the energy and transportation sector were selected for the in-depth interview, which focused on overall direction of DB development, makeup of items for DB development and ease of data acquisition. Large classification and sub-items (medium classification, small classification) determined by surveying expert opinions were set and proposed as DB development range.
3. Research Results and Policy Implications
This paper sets DB development range to analyze impact of energy-saving policies in the industry and transportation sector and their execution based on cases of DB development at home and abroad. Data collection to develop DB and determination of DB development range to lay the foundation for DB development proposed here will contribute to building framework for collecting basic data needed to analyze energy-saving policies going forward. A well-designed DB in energy savings in the industry and transportation sector can also be used as a great benchmarking data to revise and newly develop DB to analyze impact of energy-saving policies in other sectors.
Putting aside DB development range to analyze energy-saving policies, the following suggests agendas to provide the basic framework to develop DB and collect data. First, standardized data collection system that can systematically collect basic data from the pre-determined DB development range and solutions to collect data need to be established based on the present feasible range and range to be developed in addition.
Second, measures to affiliate with related institutions and organizations to develop DB for energy-saving policies need to be explored. A system to establish data in an integrated way and share them by resorting to a standardized survey method of existing domestic DB should be in place and initiatives to standardize and integrate all related DB should carried out.
Third, the system in which information on DB needs to be improved and data as well as information need to be shared in order to boost DB user convenience and build a system that connects all data in demand by users.
Lastly, a council by institution and expert group should be established to gather and take into account outside opinions on integrated DB development program on a regular basis. In addition, collaboration with related government agencies and external organizations needs to be bolstered to enhance reliability of integrated DB. |
