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Application of the delphi method to new renewable energy assessments in power plants in North Sumatra province
Author(s) -
Aulia Ishak,
Wan Habibi Rahman Barus
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/801/1/012037
Subject(s) - renewable energy , delphi method , delphi , geography , environmental science , computer science , engineering , electrical engineering , artificial intelligence , operating system
Abstrak New renewable energy assessment on power plants is one of the solutions that can be developed in order to increase the utilization of new renewable energy as a source of electrical energy in electricity generation and also to realize national energy security. Before conducting a new renewable energy assessment on a power plant, the steps that must be taken are determining the criteria and subcriteria. Determination of criteria and criteria for new renewable energy assessment at the power plant is carried out using the Delphi method. The Delphi method is a systematic and interactive method, which depends on a panel of independent experts. Delphi is based on the principle that estimates from expert structured groups are more accurate than those from unstructured or individual groups. In this study the Delphi questionnaire was distributed. Where the contents of the questionnaire are to determine the criteria and subcriteria in new renewable energy assessment at the power plant. The questionnaire was distributed to 3 respondents who were considered experts in their fields, namely new renewable energy at the power plant. The results of the distribution of the questionnaire are the criteria for evaluating new renewable energy used in the study consisting of 4 criteria namely technological aspects, economic aspects, environmental aspects, and social and political aspects developed into 16 subcriteria namely energy efficiency, security risk, energy production capacity, investment costs, operating and maintenance costs, financial risk, payback period, methane gas emissions. CO2 emissions, CO emissions, land use, ecosystem impacts, labor, political support / policy, human health impacts, social benefits.

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