| Project/Area Number |
20K20030
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 64060:Environmental policy and social systems-related
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| Research Institution | Research Institute for Humanity and Nature |
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Principal Investigator |
Farabi Hadi 総合地球環境学研究所, 研究部, 外来研究員 (30822697)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Discontinued (Fiscal Year 2023)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2021: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2020: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | Low-carbon / Heating and Cooling / Energy Policy / Modeling / Consumer Choice |
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| Outline of Research at the Start |
This study aims to develop a novel tool to analyze the effect of market-based and regulatory policies on residential low-carbon heating and cooling technology deployment in Japan. A quantitative model of Japanese residential heating and cooling (RHC) will be developed. The model will calculate the fuel consumption, emissions, costs, RHC technology market shares, and policy financial burdens on households. There will be an attempt to bring the household preferences into the calculation using Diffusion Theory in order to provide a more realistic technology transition to low-carbon RHC in Japan.
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| Outline of Annual Research Achievements |
The model's development encompassing heating and cooling functionalities has been completed. Challenges related to acquiring missing parameters for the database have been resolved, leading to the successful integration of the database into the model.
The model has been utilized to compute the intangible costs associated with both heating and cooling modalities. This metric is derived through model calibration against historical data pertaining to the deployment rates of diverse heating and cooling technologies. Following the establishment of a baseline scenario, I explored 16 additional scenarios encompassing various permutations of market-based and regulatory policies within the model. Analysis of the model outcomes aimed to discern the most efficacious policy combinations for satisfying demand while concurrently fostering the adoption of low-carbon technologies within this sector. Furthermore, I assessed the financial implications of policy adoption on Japanese households over the forthcoming decades. In the ensuing weeks, I intend to finalize a manuscript for submission to a publication, representing a principal deliverable of this endeavor.
The developed model exhibits considerable potential for adaptation to other nations and regions contingent upon the availability of reliable data regarding technology deployment rates. Plans are underway to initiate collaborative efforts with researchers focusing on analogous datasets from select countries.
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