Taiwan’s Offshore Wind Energy Policy: From Policy Dilemma to Sustainable Development

Taiwan’s offshore wind energy policy (OWE policy) is a response to sustainable development goals. Offshore wind energy has become one of the fastest growing renewable energies on Taiwan’s coastline, with the government’s full support for the promotion and implementation of the OWE policy. With the operation of Taiwan’s first wind farm in 2021, increasing controversies are specifically concerned with the distribution of social, economic, and environmental burdens and benefits resulting from the OWE policy. More offshore wind farms are forthcoming by 2025. However, little attention has been paid to policy dilemmas for many aspects relevant to sustainable development. Therefore, this paper conducts a policy analysis to construct policy-relevant information of the OWE policy and identifies policy dilemmas in relation to concerns about sustainable development. This paper presents policy recommendations on the design and decision-making processes for facilitating the smooth promotion and implementation of Taiwan’s OWE policy and future renewable energy policies.

Winds of Change: How Up-To-Date Forecasting Methods Could Help Change Brazilian Wind Energy Policy and Save Billions of US$

This paper proposes a revaluation of the Brazilian wind energy policy framework and the energy auction requirements. The proposed model deals with the four major issues associated with the wind policy framework that are: long-term wind speed sampling, wind speed forecasting reliability, energy commercialization, and the wind farm profitability. Brazilian wind policy, cross-checked against other countries policies, showed to be too restrictive and outdated. This paper proposes its renewal, through the adoption of international standards by Brazilian policy-makers, reducing the wind time sampling necessary to implement wind farms. To support such a policy change, a new wind forecasting method is designed. The method is based on fuzzy time series shaped with a statistical significance approach. It can be used to forecast wind behavior, by drawing the most-likely wind energy generation intervals given a confidence degree. The proposed method is useful to evaluate a wind farm profitability and design the biding strategy in auctions.