China
Africa
Explore chapters and articles related to this topic
Renewable Energy Systems
Published in Muhammad Asif, Handbook of Energy Transitions, 2023
Hafiz Ali Muhammad, Muhammad Asim, Muhammad Imran, Zafar Ali Khan, Tabbi Wilberforce, Young-Jin Baik
The solar and wind renewable resources are weather dependent, which is random in nature, so they have the capacity factor in the lower range. However, the biomass and geothermal resources are toward the upper range since the feedstock can be sustained in a continuous manner. Thus, the aspiration in advancements of renewable energy systems is to develop the cost-competitive and reliable renewable energy-based systems.
Impact of Energy Storage Systems Value-Added Options
Published in Viorel Badescu, George Cristian Lazaroiu, Linda Barelli, POWER ENGINEERING Advances and Challenges, 2018
David Bullejos Martin, Jorge M. Llamas Aragonés
The capacity factor of a power plant is the ratio of its output over a period of time to its potential output if continuous operations over the same period of time were possible. The capacity factor should not be confused with the availability factor of the power plant, as it is the amount of time that it is able to produce electricity over a certain period, divided by the amount of the time in the period.
Optimum Generation Scheduling of Thermal and Hydro Power System with Renewable Power Sources Using Enhanced Grey Wolf Optimization Algorithm
Published in Electric Power Components and Systems, 2023
T. Balachander, P. Aruna Jeyanthy, D. Devaraj
In this article, the scheduling problem involves thermal and hydropower units, an equivalent wind unit, a solar PV unit, and a BESS. The planning period is considered as 24 equal intervals of a day. The proposed EGWO strategy is a population-based search method motivated by the conduct of grey wolves in hunting prey. In this problem, solar and wind power are considered equivalent power plants, and their power generation is modeled using their respective capacity factors. The capacity factor is a measure of the actual output of a power plant compared to its potential maximum output over a given period, and it reflects the availability and performance of the power plant. The scheduling problem considers the generation from wind and solar power plants as variable input, and their power generation is optimized with the generation of hydro and thermal power units. Thus, the main objective of the scheduling problem is to reduce the operating cost of the thermal units and the renewable energy sources by meeting the load requirement and transmission line losses during the planning period with the consideration of various limitations imposed on the power network.
Spline model for wake effect analysis: Characteristics of a single wake and its impacts on wind turbine power generation
Published in IISE Transactions, 2018
Hoon Hwangbo, Andrew L. Johnson, Yu Ding
The wake loss relative to the rated power is in fact related to the capacity factor of a wind turbine (“Capacity factor,” 2017). Recall that the capacity factor is the ratio of the actual power production of a turbine for a selected period of time, say, a year, over the supposed power production the turbine could have produced, had it operated at its maximum capacity (i.e., at the rated power) all of the time; the typical range of the capacity factor is 25–35%. The wake loss relative to the rated power, therefore, can be seen as the direct reduction to a turbine’s capacity factor. We hereby refer to the corresponding AEP loss as the capacity factor AEP loss and refer to the AEP loss relative to the free-stream equivalent as the traditional AEP loss, which is computed, if using Turbine 1 group as an example, by
Effects of the different plant design parameters on the performance improvement of the concentrated solar plant in low direct normal irradiance region
Published in International Journal of Green Energy, 2023
Rahul Bhattacharjee, Subhadeep Bhattacharjee
The output of the solar thermal power plant depends on solar radiation. The capacity factor refers to the ratio of the actual electricity generated from the plant at partial load to the energy that could be generated from the plant when it operated at the full load (Boudaoud et al. 2015).