タイトルFY2011 Final Report Feasibility Studies with the Aim of Developing a Bilateral Offset Credit Mechanism FY2011 Studies for Project Organization Operation Optimaization Technology for Utility Facilities
報告書年度2011 - 2011
「ユーティリティ設備運用最適化技術」(以下 「U-OPT」)は、工場やビルに電力、蒸気、冷温水、圧縮空気などのユーティリティを供給しているユーティリティ設備全体の運用最適化を図り、大幅な省エネルギー・CO2削減を可能とするものである。 今までの国内での適用実績では、CO2の全排出量の約2?5%が削減されている。
今回F/Sを実施した繊維工場およびパルプ&ペーパ工場での削減量は、各8,934 t-CO2/年(3.5%)、3,869 t-CO2/年(2.3%)である。
IRR for the textile factory: 154%
IRR for the pulp and paper factory: 77%
事業性を評価するために、今回の調査で、先の中小規模の繊維工場およびパルプ&ペーパの工場に対してF/Sを実施し、内部収益率(IRR)を求めたが、繊維工場で154%、パルプ&ペーパの工場で 77% と高い値が得られている。
英文要約Title: Feasibility Studies with the Aim of Developing a Bilateral Offset Credit Mechanism Operation “Optimization cooperation control (RENKEI) Technology for Utility Facility in Republic of Indonesia”
We studied how the utility operational optimization system, which is one of “RENKEI” control for factories and buildings, contributes to Bilateral Offset Credit Mechanism “BOCM” in Indonesia.
The utility operational optimization system “U-OPT” achieved a large amount of energy conservation and CO2 reduction by operational optimization of total utility facilities which supply power, steam, cold/hot water, compressed air and so on to factory and building.
In the actual results in Japan, around 2 to 5% reduction of total CO2 emissions was achieved.
.We have proposed two methods of MRV required for a BOCM scheme.
One method is a complete new technology from the existing CDM methods which uses a simulation technology. This method calculates a baseline by eliminating other effects such as demand change of power/steam, available equipment change, equipment efficiencies change and other factors unrelated to U-OPT.
We apply the divergence ratio which shows how the current operation differ from optimum operations in calculation of the baseline.
The baseline after introducing the project is calculated with this index and the optimum operation using the simulation technology with the equipment efficiency and the latest actual data after the project.
The CO2 emission reduction is gained by calculating the difference between the baseline CO2 emission calculated by simulation and the actual CO2 emission.
This MRV method needs sufficient measuring points and suitable amount accurate data, however some of targeted factories and buildings have not these measuring points and data collecting system.
We propose the second method for these factories as temporary method before arrangement of measuring instruments and data collection system. .
In the second method, we are focusing on only changes in demand for steam and electric power as the most effective factor other than U-OPT.
We are not taking into account the effect of equipment availability and equipment efficiency as they will be averaged over a long term under a proper maintenance.
We estimated the CO2 reduction by this technology.
We conducted feasibility studies (FS) for two middle-size factories, one is a textile factory and the other is a pulp and paper factory. We could obtain the following results of FS:
CO2 reduction per year for the textile factory: 8,934 t-CO2/year (3.5 %).
CO2 reduction per year for the pulp and paper factory: 3,869 t-CO2/year (2.3 %).
If we assume that this technology extends to 30% of the textile industries and the pulp and paper industries in Indonesia and 2% CO2 reduction is realized, 50,000t-CO2 reduction per year is expected.
Moreover, if this technology extends to 10% of the whole industries in Indonesia and 2% CO2 reduction is realized, 300,000t-CO2 reduction per year is expected.
In order to evaluate business potential, we conducted FS and calculated IRR for the above-referenced textile factory and the pulp and paper factory. As the results the following high values are obtained.
IRR for the textile factory: 154%
IRR for the pulp and paper factory: 77%
The hurdle of this technology expansion is that it requires time for Indonesian clients to understand merits of this technology, since it is a new technology originated from Japan.
However, once we provide the land mark of a successful example for the introduction of this technology in Indonesia, this technology is expected to be rapidly spread in Indonesia.
We can say that if this hurdle is cleared, this technology has a great business potential.