The influence of COVID-19 on grid parity of China's photovoltaic industry.

With the more efficient involvement of both technology and policy factors in China's whole industry-chain, the year 2020 is a key period for photovoltaic (PV) industry to achieve grid parity. In this context, COVID-19 may trigger a certain time-delay in new installed PV projects, thereby bringing an uncertain influence on the whole PV industry. To forecast the influence degree and influence cycle of COVID-19 on PV industry, this paper firstly clarifies the key features of epidemic situation as well as the basic rule of such pandemics' transmission along industry-chain. Then this paper constructs a system dynamics model targeting at cost accounting of PV power generation under the influence of COVID-19 and thus forecasts the variation rules, superposition effects and influence cycle of levelized cost of energy (LCOE) of PV power generation and the operations cost of each sub-system. Empirical results show that PV industry has a lag response to the COVID-19 for 1 quarter and periodic response for 4 quarters, which is mainly embodied in the rise of short-term production cost. At the same time, the influence of COVID-19 on the upstream firms of PV industry is stronger than that on downstream firms. With the gradual recovery of whole industry-chain, LCOE of PV power generation will rapidly return to the previous expected level of grid parity by the end of 2020.

A comparison assessment of landfill waste incineration and methane capture in the central region of Mexico.

This article aims to conduct a techno-economic feasibility assessment of producing energy by waste incineration and methane capture in the central region of Mexico. Three scenarios at different efficiency rates were considered: 50, 80 and 100%. For the methane project, yields and power capacity were determined using the potential generation rate and the degradable organic carbon content through the LandGEM model. For incineration, the waste calorific potential and the average moisture content were used to estimate the achievable electrical performance. The estimated annual energy was 35,018 GWh for methane, compared to 537.71 GWh for incineration. Both projects reported financial economic feasibilities when evaluated at a discount rate of 12%. Incineration reported an net present value of US$49,942,534 and an internal rate of return of 26% in contrast to US$4,054,109 and 17% for the methane project. Although the payback period for incineration was lower than for methane, its levelized cost of energy was significantly higher. These results are intended to assist the decision-making process when planning and developing waste management strategies under principles of circular economy in Mexico and similar regions worldwide.

A simplified economic model for inertial fusion.

A simple model for the levelized cost of electricity (LCOE) of an inertial fusion power plant is developed. The model has 14 parameters. These have been designed to be technology agnostic, such that the model may be applied broadly to all variants of inertial fusion. It is also designed to allow easy use of proxies from existing technology. The variables related most intimately to the physics challenges of inertial fusion, such as gain and target cost, are treated as parameters such that requirements can be found without bringing complex physics into the model. A Monte Carlo approach is taken to explore the parameter space. The most important conclusion is that a combination of high gain (greater than 500) and high fusion energy yield per shot (greater than 5 GJ) together appear to unlock more cost competitive designs than those in the existing literature. Designs with LCOE as low as $25/MWh are found with optimistic but not obviously unrealistic inputs. This article is part of a discussion meeting issue 'Prospects for high gain inertial fusion energy (part 1)'.

Floating offshore wind potential for Mediterranean countries.

Floating offshore wind is a promising renewable energy source for several Mediterranean Countries. The exploitation of this resource will contribute to reducing carbon dependence and support the clean energy transition towards a climate neutral Europe. This work presents a novel methodology for estimating spatially-resolved Levelised Cost of Energy and offshore wind energy potential to provide optimal design of floating offshore wind farms in the Mediterranean Sea. For the first time, each site is optimised based on electrical grid cable design and wind farm layout optimisation using the Jensen wake model. The largest technical capacity potentials are obtained in Libya, Tunisia, Italy and Greece, accounting for 72.2 % of the total Mediterranean potential with a total installed capacity of 782 GW. The average LCOE is 93.4 €/MWh and the average capacity factor is 31.8 %, while 67.5 % of the technical potential has LCOE below 90 €/MWh which demonstrates that floating offshore wind in the Mediterranean could become soon competitive with other renewable energies. Optimal floating wind farm design parameters show the prevalence of a wind farm array of 10x10 wind turbines with a preferred rated power of 15 MW and the HVDC export cable connection. Among the selected floating platforms, Hywind outperforms WindFloat and GICON-SOF in 59.2 % of the suitable areas due to the lower structure material. Policymakers and stakeholders will primarily benefit from this study, which provides them with important information for careful marine spatial planning and the development of floating offshore wind farms in the Mediterranean.

Impact of variable economic conditions on the cost of energy and the economic viability of floating photovoltaics.

This work evaluates the effects of economic conditions' variations on the costs and viability of floating photovoltaics, a novel solution where modules are installed on or above water. A sensitivity analysis of key economic criteria is conducted across multiple European countries, first generating country-specific baseline scenarios and then introducing systematic variations into the input parameters. The results show that capital expenditure and electricity prices, which have both experienced significant variations in recent years, have the largest influence on the net present value and the internal rate of return. Similarly, capital expenditure and discount rate are found to be the most influencing factors for the levelized cost of electricity. Overall, this study contributes to the literature by identifying the correlations between the economic variables and the viability of floating photovoltaics. The findings can be used to assess the effectiveness of potential government policies and support mechanisms and to evaluate the viability of this technology under varying national and international economic conditions.

Low cost, uncertain value: Why cheap PV may still not become UK's main power source.

We contrast a recent assessment by Mandys et al. that dropping PV LCOE in the UK will lead to photovoltaics becoming the most competitive renewable energy technology by 2030, by arguing that (1) strong seasonal variation, (2) too little demand correlation, and (3) highly concentrated production periods still lead to overall more competitiveness and less system cost of wind power production.

Levelized cost estimates of solar photovoltaic electricity in the United Kingdom until 2035.

Solar photovoltaic (PV) electricity represents one of the most promising sources of clean and affordable energy; however, the share of solar power in electricity production remains low, primarily because of the high installation costs. By conducting a large-scale analysis of electricity pricing, we show that solar PV systems are quickly becoming one of the most competitive sources of electricity. Collecting a contemporary UK dataset of 2010-2021, we analyze the historical levelized cost of electricity for several PV system sizes, project until 2035, and conduct a sensitivity analysis. The cost of PV electricity is currently at about 149 £/MWh for the smallest-scale and 51 £/MWh for large-scale PV systems, already lower than the wholesale price of electricity, with PV systems predicted to get cheaper by 40%-50% until 2035. The government should focus on supporting solar PV system developers with benefits such as simpler land purchases for PV farms or preferential loans with low interest rates.

Optimal sizing of different configuration of photovoltaic, fuel cell, and biomass-based hybrid energy system.

The need for power is rising on a daily basis all across the world. Due to the finite supply of fossil fuels, it is critical to develop innovative non-renewable energy systems that can reduce reliance on conventional energy sources. A hybrid off-grid renewable energy system might be utilized to reduce reliance on traditional energy supplies, and to enhance the reliability of the renewable energy system. The process of selecting the appropriate combinations of components and their costs in order to produce an affordable, dependable, and effective alternative energy supply is known as hybrid system optimization. Hybrid energy technology can meet the energy needs of community very effectively. The goal of improving hybrid energy system control, size, and component selection is to offer society with a cost-effective electric power solution. The main aim of this paper is to use the proposed algorithm, i.e., hybrid chaotic particle swarm optimization and slime mould algorithm (HCPSOSMA), and Hybrid Optimization Model for Electric Renewable (HOMER) Software (Version 3.14.0) to minimize the levelized cost of energy (LCOE) supply and annualized cost system (ACS). The findings show that the proposed algorithm has an excellent convergence characteristic and the capacity to provide high-quality output. According to the simulation findings, the suggested off-grid-connected hybrid (solar PV/biomass/FC) power system is the most suitable and cost-effective option for the selected location, Patiala in Indian sub-continent.

Developing the Next-Generation Perovskite/Si Tandems: Toward Efficient, Stable, and Commercially Viable Photovoltaics.

Perovskite/silicon tandem solar cells have attracted research interests worldwide because of their potential to achieve a high power conversion efficiency (PCE) at a low cost. With the latest record PCE of 29.8%, perovskite/silicon technology faces both opportunities and challenges for commercialization in the photovoltaic market. This perspective first reviews the development history of perovskite/silicon tandems and the guidelines for PCE improvement. Further improvement in the efficiency of perovskite/silicon tandems will primarily rely on the light management in the device structure, phase stabilization, trap reduction for wide-bandgap perovskite materials, and the development of interlayer materials. Subsequently, we identified the main challenges in the commercialization of the technology and discussed the possible solutions. More efforts to accelerate the commercialization need to be made by exploiting the large-scale deposition technology of perovskite on textured silicon, understanding the degradation mechanism in the perovskite/silicon tandem device, and developing antidegradation technologies such as passivation and encapsulation. Lastly, the advances and challenges in vacuum-based perovskite deposition technology are discussed to encourage the application of the technology in the field of perovskite/silicon tandems.

Concentrated solar power: technology, economy analysis, and policy implications in China.

Renewable energy plays a significant role in achieving energy savings and emission reduction. As a sustainable and environmental friendly renewable energy power technology, concentrated solar power (CSP) integrates power generation and energy storage to ensure the smooth operation of the power system. However, the cost of CSP is an obstacle hampering the commercialization of this emerging industry, so the paper studies the technical characteristics, economic analysis, and policy implications of CSP. This paper sorts out the relevant policies of CSP and uses the levelized cost of electricity (LCOE) model by considering financial parameters, investment parameters, operation and maintenance parameters, tax parameters, capacity parameters, etc., to analyze the economics of CSP. The model parameters are set by the actual situation of CSP projects. The economic evaluation of different technology types of parabolic trough (PT), solar tower (ST), secondary reflection ST, and linear Fresnel reflector (LFR) is carried out. The LCOE of PT project is 1.11 RMB/kWh (0.17 US$/kWh), the ST project is 0.93 RMB/kWh (0.14 US$/kWh), the secondary reflection ST project is 0.97 RMB/kWh (0.15 US$/kWh), and the LFR project is 0.92 RMB/kWh (0.14 US$/kWh). The results show that the grid parity era of CSP in China is within reach, and ST is the most potential technology type. Based on the results of economic analysis and the problems faced by CSP in China, this paper puts forward policy implications by preferential loans, tax incentives, and R&D fund support to promote the development of CSP.

Estimating the economic cost of setting up a nuclear power plant at Rooppur in Bangladesh.

Bangladesh government is in the final stage of setting up one nuclear power plant with two units at Rooppur, Ishwardi, each having 1200 MW capacity, to be launched in 2023 to meet the energy shortage urgently. The financial cost of the project is the US $12.65 billion. The primary purpose of this paper is to calculate the economic cost of setting up this plant by using the estimation method developed by Du and Parsons (2009), MIT (2003; 2009; 2018), and Singh et al.  (2018). It has been found that the economic cost is amounted to 9.36 cents/kWh for the capacity of 2400 MW. In contrast, for a similar plant in Kudankulam, Tamil Nadu, India, the corresponding cost figure is 5.36 cents/kWh for 2000 MW. Even though it seems costlier than India, the study suggests that policymakers should prefer nuclear power, as it is cost-competitive, considering the production cost of other electricity facilities. The main advantage of nuclear power is cost-competitive baseload power generation with zero carbon emission. This nuclear power plant (NPP) project is expected to boost the energy sector of Bangladesh by transforming the country from an energy deficit country into an energy surplus country.

Data for the modelling of the future power system with a high share of variable renewable energy.

Energy and power system models have become necessary tools that provide challenges and technical and economic solutions for integrating high shares of Variable Renewable Energy. Models are focused on analysing strategies of power systems to achieve their decarbonisation targets. The data presented in this paper includes the model algorithm, inputs, equations, modelling assumptions, supplementary materials, and results of the simulations supporting the research article titled "Facing the high share of variable renewable energy in the power system: flexibility and stability requirements". The analysis is based on data from the system operator of one of the European Union member states (Spain). The developed model allows making projections and calculations to obtain the power generation of each technology, the international interconnections, inertia, emissions, system costs and flexibility requirements of new technologies. These data can be used for energy policy development or decision making on power capacity and the balancing needs of the future power system.

Integration of solar energy into low-cost housing for sustainable development: case study in developing countries.

The United Nations Development Program reported that two-thirds of the world's population will be living in cities by 2050, which would account for more than 60% of the world's energy consumption. Developing countries experience substantial urbanization and informal settlements compared with other parts of the world. This indicates a paradigm shift in the global energy landscape, which heralds an increase in greenhouse gas emissions. According to Indonesia's National Energy General Plan (PR 22), solar panels are expected to cover at least 25% of rooftops. In Uganda, the Sustainable Energy for All (SE4All) program aims to ensure high penetration of solar energy in the country. This study aims to integrate clean energy into low-cost housing development for sustainable cities in Uganda and Indonesia. We propose an optimal energy system and examine the most significant design parameters that exhibit a desirable performance ratio and energy yield. This project was undertaken in two stages: energy yield estimation and detailed energy system design using two different software programs. Stage 1 aimed to estimate the energy yield based on the available roof area considering existing homes in Uganda and Indonesia. A photovoltaic (PV) array was designed with suitable inverters, tilt angles, and orientations. Stage 2 was intended to determine the optimal tilt angles. Five different PV systems were developed and tested using the optimal tilt angle determined earlier. Finally, an optimizer was integrated into the PV system to investigate potential improvements in the energy yield. The inclusion of an optimizer significantly increased the energy yield from 0.5% to 5.3%. For Uganda, the levelized cost of electricity (LCOE) with and without an optimizer ranged from $0.25/kWh to $0.36/kWh, whereas for Indonesia, the LCOE ranged from $0.25/kWh to $0.3/kWh. The amounts of carbon dioxide reduction were 173.894 t and 122.742 t in Indonesia and Uganda, respectively. The techno-economic outcome of this study serves as a reference model for other developing countries planning similar initiatives that can be replicated with local contextualization and assistive schemes.

Feasibility analysis of wind and solar powered desalination plants: An application to islands.

Economic surveillance for securing water projects driven by non-conventional energy sources is a challenge. The carrying out of these initiatives in economies based on liberalized markets faces governments against the need for guaranteed profits. As water availability has become a relevant global problem, and desalination an energy-intensive demand solution, it is common to combine both kinds of technologies, renewable energy systems and desalination plants. This research investigates the influence of grants, investment rates, and energy and water sales on the commercialization of two desalination technologies. A performance analysis has been carried out taking into account different scenarios. Following this approach, a simulated reverse osmosis desalination plant has been compared with respect to an already granted novel pilot plant. Results show a better fulfilment of the non-economic objectives, and economically profitable not only under certain conditions of conceded grants, and investor's expected benefits but also of sales of water-energy, that highlighted as a limiting factor. The Levelized Cost of Energy might be similar than the Spanish generation means, depending on the cost escalation rate of the loans, and conceded grants. It was found a reduction of 11 euro cents under the average price that could be achieved, for the standard scenario.

Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification.

Ghana suffers from inadequate power supply due to increasing demand though it is amongst the African nations with the highest access to electricity. This research aims to assess the techno-economic potential of wind and solar energy potential for Ghana's northern part. We employ the Weibull distribution function, levelized cost of energy, and net present cost metrics for the economic study. The wind and solar energy resource's structure generated 72,284 kWh yearly. Both systems were identified to be too expensive if implemented under the current financing conditions in the country. The PV systems generated 38,859 kWh/year, representing 53.76% of the total electricity generated in a year, generating renewable hydrogen in the country. The findings show that sizing and management of renewable plants will fulfill the basic annual cooking demands of the populations, which are 785 kg H2 in Ghana. The countries' capacity for developing solar hydrogen plants is further suggested by generating new solar hydrogen opportunity charts. Considering the significance of hydrogen energy under the renewable energy output, we recommend using hybrid systems for hydrogen production. The findings reveal which flexibility options are critical in key stages of the energy transition to a 70, 80, 90, and 100% renewable energy system.

Economic Feasibility of Floating Offshore Wind Farms Considering Near Future Wind Resources: Case Study of Iberian Coast and Bay of Biscay.

Wind energy resources are subject to changes in climate, so the use of wind energy density projections in the near future is essential to determine the viability and profitability of wind farms at particular locations. Thus, a step forward in determining the economic assessment of floating offshore wind farms was taken by considering current and near-future wind energy resources in assessing the main parameters that determine the economic viability (net present value, internal rate of return, and levelized cost of energy) of wind farms. This study was carried out along the Atlantic coast from Brest to Cape St. Vincent. Results show that the future reduction in wind energy density (2%-6%) mainly affects the net present value (NPV) of the farm and has little influence on the levelized cost of energy (LCOE). This study provides a good estimate of the economic viability of OWFs (Offshore Wind Farms) by taking into account how wind resources can vary due to climate change over the lifetime of the farm.

Levelized cost of offshore wind power in China.

With the deepening implementation of the energy revolution and the advent of the era in which renewable energy will be grid parity, China's offshore wind power projects have gradually taking steps to shape a large-scale development. This paper reviews the relevant policies for offshore wind power, adopting the levelized cost of electricity (LCOE) model to conduct an economic evaluation of offshore wind power projects in six typical provinces in China. Among the six provinces studied in this paper, Hebei Province has the highest LCOE value of 0.87 yuan/kWh, and Fujian Province has the lowest LCOE value of 0.71 yuan/kWh; the LCOE results of offshore wind power projects in Hebei and Guangdong provinces are higher than the policy guidance price by 8.75% and 6.25% respectively; the LCOE value of the offshore wind power projects in the other four provinces are lower than the guidance price, and the average profit is considerable; the expected annual utilization hours and unit cost have varied impact on the LCOE value in different provinces. The results show that with the upcoming offshore wind power on-grid price bidding era, China's offshore wind power grid parity era is just around the corner. Finally, this paper puts forward relevant policy suggestions, hoping to provide practical guidance for the promotion of offshore wind power technology in China.

Economic Aspects of a Concrete Floating Offshore Wind Platform in the Atlantic Arc of Europe.

The objective of this paper is to examine the economic aspects of a concrete offshore wind floating platform in the Atlantic Arc of Europe (Portugal and Spain). The life-cycle cost of a concrete floating offshore wind platform is considered to calculate the main economic parameters that will define the economic feasibility of the offshore wind farm. The case of study is the concrete floating offshore wind platform Telwind®, a spar platform with a revolutionary way of installing using a self-erecting telescopic tower of the wind turbine. In addition, the study analyses thirteen locations in Spain and twenty in Portugal, including the Atlantic islands of both countries. Results indicate that the economically feasible location to install a concrete offshore wind farm composed of concrete platforms is the Canary Islands (Spain) and Flores (Portugal).

A Software for Calculating the Economic Aspects of Floating Offshore Renewable Energies.

The aim of this work is to develop a software to calculate the economic parameters so as to determine the feasibility of a floating offshore renewable farm in a selected location. The software can calculate the economic parameters of several types of offshore renewable energies, as follows: one renewable energy (floating offshore wind-WindFloat, tension leg platform (TLP), and spar; floating wave energy-Pelamis and AquaBuoy), hybrid offshore wind and wave systems (Wave Dragon and W2Power), and combined offshore wind and waves with different systems (independent arrays, peripherally distributed arrays, uniformly distributed arrays, and non-uniformly distributed arrays). The user can select several inputs, such as the location, configuration of the farm, type of floating offshore platform, type of power of the farm, life-cycle of the farm, electric tariff, capital cost, corporate tax, steel cost, percentage of financing, or interest and capacity of the shipyard. The case study is focused on the Galicia region (NW of Spain). The results indicate the economic feasibility of a farm of floating offshore renewable energy in a particular location in terms of its costs, levelized cost of energy (LCOE), internal rate of return (IRR), net present value (NPV), and discounted pay-back period. The tool allows for establishing conclusions about the dependence of the offshore wind resource parameters, the main distances (farm-shore, farm-shipyard, and farm-port), the parameters of the waves, and the bathymetry of the area selected.

Wind farm topology-finding algorithm considering performance, costs, and environmental impacts.

Optimal power in wind farms turns to be a modern problem for investors and decision makers; onshore wind farms are subject to performance and economic and environmental constraints. The aim of this work is to define the best installed capacity (best topology) with maximum performance and profits and consider environmental impacts as well. In this article, we continue the work recently done on wind farm topology-finding algorithm. The proposed resolution technique is based on finding the best topology of the system that maximizes the wind farm performance (availability) under the constraints of costs and capital investments. Global warming potential of wind farm is calculated and taken into account in the results. A case study is done using data and constraints similar to those collected from wind farm constructors, managers, and maintainers. Multi-state systems (MSS), universal generating function (UGF), wind, and load charge functions are applied. An economic study was conducted to assess the wind farm investment. Net present value (NPV) and levelized cost of energy (LCOE) were calculated for best topologies found.