Techno-economic optimization of PV system for hydrogen production and electric vehicle charging stations under five different climatic conditions in India

Praveenkumar, S.; Agyekum, Ephraim Bonah; Ampah, Jeffrey Dankwa; Afrane, Sandylove; Velkin, Vladimir Ivanovich; Mehmood, Usman; Awosusi, Abraham Ayobamiji

doi:10.1016/j.ijhydene.2022.09.015

Cited by 52 publications

(21 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…𝑀𝑖𝑡 𝐶𝑂 2 = 𝐸 𝑔 × 𝐹 𝑒 (10) where the mitigating CO2 emissions is represented by 𝑀𝑖𝑡 𝐶𝑂 2 , 𝐸 𝑔 denotes the annual produced electricity from the RES, and 𝐹 𝑒 is the emission factor, taken as 0.8274 kgCO2/kWh [62] for India in the current study.…”

Section: Environmental Impact Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

Techno-Economics and the Identification of Environmental Barriers to the Development of Concentrated Solar Thermal Power Plants in India

et al. 2022

Self Cite

View full text Add to dashboard Cite

India is endowed with a lot of solar radiation as a result of its location. The Indian government therefore intends to maximize the usage of its solar energy resources through the development of solar power plants across the country. The concentrated solar power plant (CSP) is one of the technologies that rely on solar energy for its electricity generation. The type of condenser model in the CSP technology has the potential to affect its techno-economic viability. In this paper, a 100 MW solar tower power plant (STPP) with two different condenser models, i.e., the dry-cooled STPP and wet-cooled STPP models, are studied using the System Advisor Model (SAM) at six different geographical areas in India. The study employed the optimization of the thermal energy storage and the solar field size to identify the minimum levelized cost of electricity (LCOE) for all six locations. Results from the simulation show that the LCOE will range between 13 and 17 cents/kWh under the optimization conditions for the STPP dry-cooled condenser model, while that of the wet-cooled condenser model will range between 12.40 and 12.96 USD cents/kWh for the study locations. It was also observed that the optimized solar multiple (SM) for the dry-cooled STPP model ranges between 1.4 and 1.8, whereas that of the wet-cooled model ranges between 1 and 1.8. The study identified Bhopal as the best location for installing the STPP plant for both condenser models. In addition, this paper also discusses major potential barriers and government policies that are needed to develop CSP technologies in India. The outcome of the study is expected to help both government and other stakeholders in decision making and policy formulation for the sector.

show abstract

Section: Environmental Impact Assessmentmentioning

confidence: 99%

“…where the mitigating CO 2 emissions is represented by Mit CO 2 , E g denotes the annual produced electricity from the RES, and F e is the emission factor, taken as 0.8274 kgCO 2 /kWh [62] for India in the current study. The outcome of the estimations are presented in Table 4.…”

Section: Environmental Impact Assessmentmentioning

confidence: 99%

Techno-Economics and the Identification of Environmental Barriers to the Development of Concentrated Solar Thermal Power Plants in India

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…With rising global warming and pollution levels, many countries have initiated work on technologies supporting electricity generation using RES [14,15]. An optimum blend of RES is created based on the weather conditions of the concerned area, and suitable HPGP is employed.…”

Section: North Tomentioning

confidence: 99%

Techno-Economic Optimization of an Off-Grid Hybrid Power Generation for SRM IST, Delhi-NCR Campus

et al. 2022

View full text Add to dashboard Cite

The limited availability of fossil fuels such as coal and increasing air pollution levels due to the burning of coal have pushed the trend of generating electricity from fossil fuels to generating it from locally available renewable resources. It is expected that the cost of electricity will decrease when locally available renewable resources are used. In this paper, it was proposed to commission a solar PV system in a part of an academic building of SRM IST University. The present study is an effort in-line with many initiatives taken up by the Indian Government. The performance index of solar PV system was analyzed. Supporting data were obtained from the NASA PDAV tool and then techno-economical analysis was carried out on HOMER. The average performance ratio and capacity factor of the solar PV system were obtained as 64.49% and 14.90%, respectively. For the optimal configuration, the net present cost and the levelized cost of electricity are $639,981 and $0.34 per kWh, respectively. As per the estimation, there will be no air pollution due to the proposed configuration, whereas if only a diesel generator is commissioned, then 200,417 kg of carbon dioxide will be emitted annually.

show abstract

“…The productive utilization of distributed renewable energy and electric vehicles (EVs) is an effective way to reduce the fossil rate of primary energy [1][2][3][4][5][6]. In recent years, the development of charging infrastructure is accelerating due to the rapid popularity of EVs [7].…”

Section: Introductionmentioning

confidence: 99%

Capacity Allocation Method Based on Historical Data-Driven Search Algorithm for Integrated PV and Energy Storage Charging Station

et al. 2023

View full text Add to dashboard Cite

The promotion of electric vehicles (EVs) is an important measure for dealing with climate change and reducing carbon emissions, which are widely agreed goals worldwide. Being an important operating mode for electric vehicle charging stations in the future, the integrated photovoltaic and energy storage charging station (PES-CS) is receiving a fair amount of attention and discussion. However, how to optimally configure photovoltaic and energy storage capacity to achieve the best economy is essential and a huge challenge to overcome. In this paper, based on the historical data-driven search algorithm, the photovoltaic and energy storage capacity allocation method for PES-CS is proposed, which determines the capacity ratio of photovoltaic and energy storage by analyzing the actual operation data, which is performed while considering the target of maximizing economic benefits. In order to achieve the proposed capacity allocation, the method is as follows: First, the economic benefit model of the charging stations is established, taking the net present value and investment payback period as evaluation indicators; then, by analyzing the operation data of the existing charging station with the target of maximizing economic benefits, the initial configuration capacity is obtained; finally, the capacity configuration is verified through a comprehensive case analysis for the actual operation data. The results show that the capacity configuration obtained through the data analysis features an optimized economic efficiency and photovoltaic utilization. The proposed method can provide a theoretical and practical basis for newly planned or improved large-scale charging stations.

show abstract

Techno-economic optimization of PV system for hydrogen production and electric vehicle charging stations under five different climatic conditions in India

Cited by 52 publications

References 69 publications

Techno-Economics and the Identification of Environmental Barriers to the Development of Concentrated Solar Thermal Power Plants in India

Techno-Economics and the Identification of Environmental Barriers to the Development of Concentrated Solar Thermal Power Plants in India

Techno-Economic Optimization of an Off-Grid Hybrid Power Generation for SRM IST, Delhi-NCR Campus

Capacity Allocation Method Based on Historical Data-Driven Search Algorithm for Integrated PV and Energy Storage Charging Station

Contact Info

Product

Resources

About