The Evaluation and Selection of Renewable Energy Technologies in China

Zhang, Libo; Tao, Yang

doi:10.1016/j.egypro.2014.12.044

Cited by 21 publications

(11 citation statements)

References 10 publications

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“…In terms of renewable energy evaluation and selection, the quantitative approach appears to be the most popular method used [2][3][4][5][6][7][8][9][10] as it offers a number of benefits, notably providing a more tangible data analysis thus preventing perceived biases [11]. The qualitative approach, on the other hand, takes the benefits of the flexibility of qualitative data and the level of feedback that is capable of explaining phenomena that are difficult to be quantified [11].…”

Section: Methodsmentioning

confidence: 99%

“…Ahmad and Tahar (2014) [6] concluded that solar energy is the most suitable renewable resource in Malaysia, followed by biomass energy as the second best. Li-Bo and Tao (2014) [7] reported that wind and solar power were found to be the two most favourable renewable energy resources in China. Madhuri et al (2017) [8] shows that solar energy was chosen as the most suitable energy alternative for development in Uttar Pradesh, India.…”

Section: Renewable Energy Selection and Decision Makingmentioning

confidence: 99%

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Stakeholders’ Recount on the Dynamics of Indonesia’s Renewable Energy Sector

Yudha

Tjahjono²

2020

Preprint

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The study describes in this paper uses direct evidence from processes applied for the developing economy of Indonesia, as it defines the trajectory for its future energy policy and energy research agenda. The paper makes explicit the process undertaken by key stakeholders in assessing and determining the suitability, feasibility and dynamics of the renewable energy sector. Barriers and enablers that key in selecting the most suitable renewable energy sources for developing economies for the renewable energy development have been identified from extensive analyses of research documents alongside qualitative data from the focus group discussions (FGD). The selected FGD participants encompass the collective views that cut across the political, economic, social, technological, legal and environmental aspects of renewable energy development in Indonesia. The information gained from the FGD gives insights to the outlook and challenges that are central to energy transition within the country, alongside the perceptions of renewable energy development from the influential stakeholders contributing to the process. It is notable that the biggest barriers to transition are centred on planning and implementation aspects, as it is also evident that many in the community do not adhere to the same vision.

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Section: Methodsmentioning

confidence: 99%

Section: Renewable Energy Selection and Decision Makingmentioning

confidence: 99%

Stakeholders’ Recount on the Dynamics of Indonesia’s Renewable Energy Sector

Yudha

Tjahjono²

2020

Preprint

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“…While the short-run benefits of this evaluation will be improved facility efficiency -technical benefit, the long-term benefits will be both economic and environmental, and social to a facility owner(s) and host community [4,5]. Thus, energy experts now approach renewable energy analysis from a multi-criteria perspective [6,7]. Several authors have contributed to the selection of emerging renewable energy technology and system, among them, we can mention.…”

Section: Introductionmentioning

confidence: 99%

“…Al-Jabr and Ben-Mansour [11] presented a robust cost-based approach that can be used to select a renewable energy system. Zhang and Tao [7] used AHP and data envelopment analysis (DEA) method to generate a model that can be used to evaluate and select renewable energy technology under a multi-criteria scenario.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Renewable Energy Technology Based on Reliability Attributes Using Hybrid Fuzzy Dynamic Decision-Making Model

Aikhuele

Ighravwe

Akinyele

2019

Technol Econ Smart Grids Sustain Energy

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Socio-technical and economic attributes consideration are very important during a renewable energy technology selection for a community. When decision-makers considered these attributes under a dynamic nature, they arrive at a robust decision. Hence, this study proposes an integrated model for renewable energy technologies evaluation under a dynamic condition. We developed the model using dynamic intuitionistic fuzzy Einstein geometric averaging operator, intuitionistic fuzzy entropy, and the intuitionistic fuzzy technique for order of preference by similarity to ideal solution method (TOPSIS). This model's applicability was tested using five renewable energy technologies-solar (PT 1), wind (PT 2), hydroelectricity (PT 3), geothermal (PT 4) and biomass (PT 5) and five attributes (risk factor, payback reliability, social benefit, change in demand and cost). Based on five energy experts, from academia and industry, opinions, the proposed model identified biomass energy technology as the most suitable energy technology. Three existing multi-criteria models were used to verify the proposed model; the proposed model performance was consistent with the existing models' results. From most suitable the least suitable, the model ranked these technologies PT 5 > PT 2 > PT 3 > PT 1 > PT 4 .

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“…Renewable energy resources (RES) are considered to be one of the most appropriate alternatives to conventional energy resources. Renewable energy which has different forms such as solar, hydro power, geothermal, wind power and biomass is more environmentally friendly and does not cause pollution (Li-bo & Tao, 2014). It is produced from natural, recurring and continuous outflow of energy, and does not consume any natural resource and can be naturally replenished which make it also sustainable (Tasri & Susilawati, 2014;Aydin et al, 2013;Banos et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Multi-Criteria Analysis Approach for the Assessment of Renewable Energy Resources Under Uncertainty

Tüysüz¹

2017

Alphanumeric Journal

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Evaluation of renewable energy resources is a critical and complex process which requires the assessment and aggregation of multiple criteria and also the usage of appropriate data related to them. This study presents a simulation based multi-criteria model for the general evaluation of renewable energy alternatives. This model integrates Monte Carlo simulation technique with Grey Relational Analysis (GRA) method to be able to represent the variability and the uncertainty inherent in the data. Simulation based GRA method is used for ranking the renewable energy alternatives which are solar, wind, hydroelectric, biomass and geothermal energy. The effectiveness and the applicability of the proposed model is also illustrated with an application in which 5 renewable energy alternatives are evaluated according to 12 criteria.

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The Evaluation and Selection of Renewable Energy Technologies in China

Cited by 21 publications

References 10 publications

Stakeholders’ Recount on the Dynamics of Indonesia’s Renewable Energy Sector

Stakeholders’ Recount on the Dynamics of Indonesia’s Renewable Energy Sector

Evaluation of Renewable Energy Technology Based on Reliability Attributes Using Hybrid Fuzzy Dynamic Decision-Making Model

A Hybrid Multi-Criteria Analysis Approach for the Assessment of Renewable Energy Resources Under Uncertainty

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