Renewable energy in China

China is the world's leader in electricity production from renewable energy sources, with over triple the generation of the second-ranking country, the United States. China's renewable energy sector is growing faster than its fossil fuels and nuclear power capacity, and is expected to contribute 43 per cent of global renewable capacity growth. China's total renewable energy capacity exceeded 1,000 GW in 2021, accounting for 43.5 per cent of the country's total power generation capacity, 10.2 percentage points higher than in 2015. The country aims to have 80 per cent of its total energy mix come from non-fossil fuel sources by 2060, and achieve a combined 1,200 GW of solar and wind capacity by 2030. In 2023, it was reported that China was on track to reach 1,371 gigawatts of wind and solar by 2025, five years ahead of target due to new renewables installations breaking records. Although China currently has the world's largest installed capacity of h

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ME-409: Energy conversion and renewable energy

This course presents an overview of (i) the current energy system and uses (ii) the main principles of conventional and renewable energy technologies and (iii) the most important parameters that define their efficiency, costs and environmental impacts.

ME-460: Renewable energy (for ME)

The students assess and compare all renewable energy resources, their real potentials, limitations and best applications (energy services). Solar thermal, solar electric, wood, bioliquids, biogas, hydropower incl. tidal and wave power, wind, geothermal incl. heat pumps and buildings.

EE-456: Hydropower plants: generating and pumping units

Master Lecture on the general layout of a hydropower plant. Detailing the specification of Pelton, Francis, Kaplan and Bulb turbines, Storage pumps and Reversible pump-turbines.

Impact of Urbanization and economic growth on environmental quality in Western Africa: What is the role of manufacturing activities and renewable energy?

Jérôme Chenal, Hassan Radoine

The countries in Western Africa have the greatest potential for renewable energy generation in the world and are likely to be vulnerable to the adverse effects of climate change. Unfortunately, only a few of them have tapped into this potential, as non-renewable energy still dominates the total energy mix of these countries. The present study explores the effect of economic growth, manufacturing value-added, urbanization, financial development, foreign direct investment, and renewable energy consumption on the environmental quality in West African countries by using a sample of some selected countries over the period 1991–2018. This study is analyzed by adopting the method of Driscoll-Kraay (DK) panel regression. The panel result suggests that manufacturing value-added, urbanization, financial development, and foreign direct investment increase environmental degradation. In addition, the findings of this study reveal that economic growth and renewable energy consumption contribute, significantly, to environmental quality. Bidirectional causality exists between economic growth and CO2 emissions and between urbanization and environmental degradation. Accordingly, in order to improve environmental quality in these countries, it is imperative to embrace and promote the consumption of clean energy sources, which will contribute more to the promotion and adoption of renewables in this strategic region.

2022

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Optimum dispatch of a multi-storage and multi-energy hub with demand response and restricted grid interactions

Timothée Chatelain, Dasaraden Mauree, Amarasinghage Tharindu Dasun Perera, Jean-Louis Scartezzini

Integrated energy systems such as multi energy hubs which combines different energy conversion technologies and storage is recently getting popular. These systems possess the potential to integrate distributed renewable energy sources with a minimum impact to the grid. Hence, a number of recent studies have focused on optimizing the operation of energy hubs with simple energy systems. This study focuses on optimizing the dispatch of a multi-energy hub model which includes solar PV (SPV) panels, wind turbines, boiler, Internal Combustion Generator (ICG), Cogeneration plant (CHP), energy storage (heat and electricity). The energy hub is considered to maintain limited interactions with the grid. Interactions with e-mobility is considered as a flexible demand. A detailed energy hub model is developed considering energy interactions among all the aforementioned components. Dispatch strategy is optimized using evolutionary algorithm. Results obtained from the evolutionary algorithm is compared with Particle Swarm Optimization (PSO) algorithm. A detailed analysis is conducted in order to assess the energy interactions within the system. Sensitivity of system components such as storage size, renewable energy capacity etc., grid interactions, and time horizon considered for optimization is subsequently assessed and reported concisely. Results obtained clearly shows choice of dispatch strategy is considerably volatile which makes the operation of the energy hub challenging. This can be mitigated up to a certain level by increasing the capacity of battery bank.

2017

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A multi criterion analysis for renewable energy integration process of a standalone hybrid energy system with internal combustion generator

Amarasinghage Tharindu Dasun Perera

Integrating renewable energy into standalone Internal Combustion Generator (ICG) systems is an economical and eco-friendly option. However, previous studies demonstrate the difficulties in replacing the ICGs completely by using Solar PV (SPV) and wind energy with a dispatchable energy storage. This makes it interesting to analyze the limitations in integrating the SPV and wind energy into Hybrid Energy System. A multi criterion analysis is presented in this study, considering Levelized Energy Cost, Loss of Load Probability, and Fuel Consumption varying the scale of the ICG capacity to attain aforementioned objective. Changes in the system design with the integration of the SPV and wind energy were analyzed using Pareto multi-objective optimization considering Renewable Energy Capacity as an objective function. Sensitivity of the ICG capacity on optimum Renewable Energy Technology, role of the ICG in improving system reliability, etc., were subsequently analyzed. The results depict that the ICG capacity notably influence to the balance between wind and SPV capacity. An increase in the ICG capacity does increase the contribution from dispatchable energy source in most of the scenarios. Furthermore, it facilitates to amalgamate highly fluctuating renewable energy sources at a relatively low cost. This makes it inevitable to replace ICG with non-dispatchable renewable energy sources and energy storage.

Amer Inst Physics2015

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