Current Status of Renewable Energy Development

Gunny, Ahmad Anas Nagoor; Shahimin, Mohd Faidz Mohamad; Mohamed, Alina Rahayu; Jalil, Mohd Faizal Ab

doi:10.1007/978-981-16-9314-4_1

Cited by 2 publications

(1 citation statement)

References 51 publications

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“…In the assessment of renewable energy conversion efficiency within the Northern European context, a set of indicators has been meticulously selected according to references for integration into the proposed behavioral DEA model, where each is assigned a specific role as either an input or an output [14,[40][41][42][43][44][45][46]. As shown in Figure 1, traditional energy production (Input 1), quantified through the gigawatt-hours (GWh) of electricity generated from fossil fuels, has been included as an input to serve as a foundational comparison point for the efficiency of renewable sources.…”

Section: Problem Descriptionmentioning

confidence: 99%

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Hung,

Yang

2024

Processes

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Northern European nations are at the forefront of renewable energy adoption but face challenges in optimizing energy conversion efficiency. There is a lack of detailed understanding of how behavioral factors affect the efficiency of renewable energy conversion in these countries. This study aims to evaluate and compare the renewable energy conversion efficiency of Northern European countries, intending to inform strategic policy making and identify best practices for technology deployment in the renewable energy sector. Employing a Data Envelopment Analysis (DEA) model, the study integrates behavioral economic parameters—specifically, the aversion loss and gain significance coefficients—to assess the efficiency of renewable energy conversion, accounting for psychological factors in decision making. A comprehensive sensitivity analysis was conducted, varying the gain significance coefficient while maintaining the aversion loss coefficient at constant levels. This experiment was designed to observe the impact of behavioral parameters on the efficiency ranking of each country. The analysis revealed that Latvia consistently ranked highest in efficiency, irrespective of the gain significance valuation, whereas Iceland consistently ranked lowest. Other countries demonstrated varying efficiency rankings with changes in gain significance, indicating different behavioral economic influences on their renewable energy sectors. Theoretically, the study enhances the DEA framework by integrating behavioral economics, offering a more holistic view of efficiency in renewable energy. Practically, it provides a benchmarking perspective that can guide policy and investment in renewable energy, with sensitivity analysis underscoring the importance of considering behavioral factors. The research offers a practical tool for policymakers and energy stakeholders to align renewable energy strategies with behavioral incentives, aiming to improve the adoption and effectiveness of these initiatives.

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Section: Problem Descriptionmentioning

confidence: 99%

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Hung,

Yang

2024

Processes

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Direct-Use Geothermal Energy Location Multi-Criteria Planning for On-Site Energy Security in Emergencies: A Case Study of Malaysia

Nhieu

Pham

2022

Sustainability

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Geothermal potential is a significant advantage in terms of renewable energy for countries located on the Pacific Ring of Fire. Studies on geothermal energy sources show that Malaysia is one of the countries possessing this inexhaustible and stable energy source. This on-site energy source is a promising solution to the problem of energy security during emergencies where the energy supply chain is disrupted. To exploit this advantage, this study proposes a novel tri-layer framework to prioritize locations for direct-use geothermal energy location (DGL) in Malaysia. First, the proposed locations are screened for feasibility to limit the impact on other natural conservation areas and stable residential areas. In the second layer, locations are evaluated for efficiency using the data envelopment analysis (DEA) model based on quantitative indicators. In the third layer, the spherical fuzzy extended combination of the analytic hierarchy process (SF AHP) and the combined compromise solution (SF CoCoSo) methods are introduced and applied to prioritize high-efficiency locations. According to the findings, costs, social acceptance, and noise impacts are the qualitative criteria of most concern for DGLs. Through the tri-layer framework, the suggested concordant locations for DGLs in Malaysia are Marudi of Sarawak, Tawau of Sabah, Serian of Sarawak, and Jeram of Selangor.

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Current Status of Renewable Energy Development

Cited by 2 publications

References 51 publications

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Northern Lights: Prospecting Efficiency in Europe’s Renewable Energy Sector

Direct-Use Geothermal Energy Location Multi-Criteria Planning for On-Site Energy Security in Emergencies: A Case Study of Malaysia

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