『Abstract
In recent years, the Taiwanese government has vigorously promoted
the development of renewable energy to engage the challenges of
gradual depletion of fossil fuels and oil, as well as the intensification
of the greenhouse effect. Since the Sustainable Energy Policy
Principles were announced in 2008, Taiwanese government has declared
that the development of renewable energy should take into account
goals that pertain to energy, the environment, and the economy
(3E goals). This study aims to assess the 3E goals and renewable
energy sources regulated by the Renewable Energy Development Bill
that passed in 2009. The fuzzy analytic hierarchy process (FAHP)
is used to resolve the multi-goal problem for achieving our research
purposes. That is, this research attempts to reveal the suitable
renewable energy sources for the purposes of meeting the 3E policy
goals. The results first show that environmental goal is the most
important to the development of various renewable energy technologies
in Taiwan, followed by the economic and energy goals. Additionally,
hydropower, solar energy, and wind energy would be the renewable
energy sources utilized in meeting the 3E policy goals.
Keywords: Renewable energy; Renewable energy policy; Fuzzy analytic
hierarchy process
1. Introduction
2. Renewable energy in Taiwan
2.1. Policy background
2.2. Renewable energy sources in Taiwan
2.2.1. Solar energy
2.2.2. Biomass energy
2.2.3. Geothermal energy
2.2.4. Wind energy
2.2.5. Ocean energy
2.2.6. Non-pumped storage hydropower
3. The assessment framework
3.1. Energy goal
3.1.1. Energy price stability
3.1.2. Security for energy supply
3.1.3. Low energy prices
3.1.4. Stability for energy generation
3.2. Environmental goal
3.2.1. Carbon emissions reduction
3.2.2. SOx and NOx emissions reductions
3.2.3. Environmental sustainability
3.2.4. Low land requirement
3.3. Economic goal
3.3.1. Local economic development
3.3.2. Increasing employment
3.3.3. Technical maturity
3.3.4. Potential for commercialization
3.3.5. Market size
3.3.6. Reasonableness for investment cost
4. Methodology
4.1. Step 1: construct the hierarchical structure
4.2. Step 2: check the consistency
4.3. Step 3: construct fuzzy positive matrices
4.4. Step 4: calculate fuzzy weights
4.5. Step 5: integrate the fuzzy weights of each decision maker
4.6. Step 6: obtain final ranking of criteria
4.7. Step 7: assess the renewable energy sources
5. Empirical analysis
5.1. Data analyses
5.2. Policy implications
6. Concluding remarks
References
| 再生エネルギー源 | スコア | ランク |
| 太陽エネルギー | 5.866 | 2 |
| バイオマスエネルギー | 4.906 | 5 |
| 地熱エネルギー | 5.190 | 4 |
| 海洋エネルギー | 4.882 | 6 |
| 風力エネルギー | 5.729 | 3 |
| 水力エネルギー | 6.005 | 1 |