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[HTML][HTML] Assessment of challenges and strategies for driving energy transitions in emerging markets: A socio-technological systems perspective
The pursuit of improved quality of life standards has significantly influenced the
contemporary mining model in the 21st century. This era is witnessing an unprecedented …
contemporary mining model in the 21st century. This era is witnessing an unprecedented …
Configuration optimization of a wind-solar based net-zero emission tri-generation energy system considering renewable power and carbon trading mechanisms
Incorporating renewable energy and carbon trading mechanisms within the optimization
methods could enhance both the environmental and economic benefits of energy systems. A …
methods could enhance both the environmental and economic benefits of energy systems. A …
The impact of renewable energy rebates on environmental sustainability in Australia
This study investigates the influence of renewable energy rebates on the quality of the
environment in Australia, with a specific emphasis on premium feed-in tariffs and renewable …
environment in Australia, with a specific emphasis on premium feed-in tariffs and renewable …
Cost accounting and economic competitiveness evaluation of photovoltaic power generation in China——based on the system levelized cost of electricity
S Chong, J Wu, IS Chang - Renewable Energy, 2024 - Elsevier
Accelerating the penetration of photovoltaics (PV) oriented renewables is a vital mainstay in
climate mitigation. Along with continuous growth of PV generation in the power system, PV …
climate mitigation. Along with continuous growth of PV generation in the power system, PV …
[HTML][HTML] Enhancing sustainable and climate-resilient agriculture: Optimization of greenhouse energy consumption through microgrid systems utilizing advanced meta …
Greenhouses offer controlled microclimates that enable year-round cultivation, improving
food security and agricultural productivity. However, greenhouses are energy-intensive, with …
food security and agricultural productivity. However, greenhouses are energy-intensive, with …
[HTML][HTML] The assessment of the value of electricity saving and economic benefit to residential solar rooftop PV customer: The case of Thailand
A rise in residential solar rooftop PV (SRPV) has been observed in Thailand because of the
decreasing costs of solar photovoltaics (PV) and implementation of incentive programs for …
decreasing costs of solar photovoltaics (PV) and implementation of incentive programs for …
Multi-sectoral efforts are required for decarbonising the building sector: a case in Hong Kong
Decarbonising the building sector involves collaborative efforts from multiple sectors.
Previous studies only focused on carbon mitigation within individual measures, impeding …
Previous studies only focused on carbon mitigation within individual measures, impeding …
Balancing Possibilist-probabilistic risk assessment for smart energy hubs: Enabling secure peer-to-peer energy sharing with CCUS technology and cyber-security
Y Zheng, X Xue, S **, W **n - Energy, 2024 - Elsevier
This paper introduces the Possibilistic-Probabilistic Risk-based Smart Energy Hub (PPR-
SEH) scheduling model, addressing cybersecurity challenges in the transition to advanced …
SEH) scheduling model, addressing cybersecurity challenges in the transition to advanced …
Economic and environmental effects of financing subsidies for non-conventional renewable energies with a carbon tax–A comparison of intersectoral models
C Mardones - Renewable Energy, 2023 - Elsevier
Non-conventional renewable energy (NCRE) subsidies have been introduced in various
countries to help reduce greenhouse gas (GHG) emissions. However, other social priorities …
countries to help reduce greenhouse gas (GHG) emissions. However, other social priorities …
A Machine Learning Frontier for Predicting LCOE of Photovoltaic System Economics
In this research article, the objective is to determine the return on investment (ROI) of
photovoltaic (PV) power plants by employing machine learning (ML) techniques. Special …
photovoltaic (PV) power plants by employing machine learning (ML) techniques. Special …