Techno-economic analysis of a solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method

Gu, Yaxiu; Zhang, Xingxing; Han, Mengjie; Chen, Xiangjie; Yuan, Yanping

doi:10.1016/j.enconman.2018.03.043

Cited by 122 publications

(48 citation statements)

References 37 publications

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“…Therefore, there is a huge potential for well-designed systems by combining both solar PV and solar thermal technologies. A relatively new commercialized concept of solar photovoltaic/thermal (PVT) technology can achieve such a goal by generating both electrical and thermal energy together using a single panel [4]. Realizing its importance, the Solar Heating and Cooling Program (SHC) of the International Energy Agency (IEA) has initiated Task 60 for PVT applications and solutions to Heating, Ventilation and Air Conditioning (HVAC) systems in buildings [5].…”

Section: Background and Existing Studiesmentioning

confidence: 99%

“…There are several studies concerning the techno-economic analysis of PVT collectors with a focus on the component and system design [4,[9][10][11][12]. The most common way is to assess the energetic performance firstly and then carry out an economic evaluation based on dependent variables [4,9,10,[12][13][14][15][16]. The prevalent energy performance indexes are energy efficiency and exergy efficiencies [6] while the most popular economic indicators are represented by levelized cost of energy (LCOE), net present value (NPV), and payback period [4].…”

Section: Background and Existing Studiesmentioning

confidence: 99%

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Digital Mapping of Techno-Economic Performance of a Water-Based Solar Photovoltaic/Thermal (PVT) System for Buildings over Large Geographical Cities

et al. 2020

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Solar photovoltaic thermal (PVT) is an emerging technology capable of producing electrical and thermal energy using a single collector. However, to achieve larger market penetration of this technology, it is imperative to have an understanding of the energetic performance for different climatic conditions and the economic performance under various financial scenarios. This paper thus presents a techno-economic evaluation of a typical water-based PVT system for a single-family house to generate electricity and domestic hot water applications in 85 locations worldwide. The simulations are performed using a validated tool with one-hour time step for output. The thermal performance of the collector is evaluated using energy utilization ratio and exergy efficiency as key performance indicators, which are further visualized by the digital mapping approach. The economic performance is assessed using net present value and payback period under two financial scenarios: (1) total system cost as a capital investment in the first year; (2) only 25% of total system cost is a capital investment and the remaining 75% investment is considered for a financing period with a certain interest rate. The results show that such a PVT system has better energy and exergy performance for the locations with a low annual ambient temperature and vice versa. Furthermore, it is seen that the system boundaries, such as load profile, hot water storage volume, etc., can have a significant effect on the annual energy production of the system. Economic analysis indicates that the average net present values per unit collector area are 1800 and 2200 EUR, respectively, among the 85 cities for financial model 1 and financial model 2. Nevertheless, from the payback period point of view, financial model 1 is recommended for locations with high interest rate. The study is helpful to set an understanding of general factors influencing the techno-economic performance dynamics of PVT systems for various locations.

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Section: Background and Existing Studiesmentioning

confidence: 99%

Section: Background and Existing Studiesmentioning

confidence: 99%

Digital Mapping of Techno-Economic Performance of a Water-Based Solar Photovoltaic/Thermal (PVT) System for Buildings over Large Geographical Cities

et al. 2020

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“…Monte-Carlo simulation (MCS) is such stochastic numerical simulation method which can be applied to problems involving random variables. If one have distribution of random variable, Monte Carlo estimation procedure suggests that the average results of enough randomly sampled variables would resemble the true average of the random variables due to the law of large numbers [6] [12].…”

Section: The Impact Of Evs In LV Networkmentioning

confidence: 99%

Analysis of Future Loading Scenarios in a Norwegian LV Network

Degefa¹,

Sæle²,

Andresen³

2019

2019 International Conference on Smart Energy Systems and Technologies (SEST)

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This paper identifies the effect of Electric vehicles (EVs) and solar panels/ photovoltaic (PVs) on the distribution grid with and without the use of demand response. A method to generate realistic profiles of EVs and PVs based on statistical data is presented. The paper documents the impacts of EVs and PVs on a selected Norwegian LV distribution network by using up-to-date scenarios of the loads and actual network and household load data. The simulation study reveals that undervoltage problem caused by EV is considerably more likely than overvoltage problem caused by increased PV integration. In another dimension, flexibility resources such as shiftable loads from household appliances showed greater potential to solve overvoltage problems due to PV integration than undervoltage problems due to increased EV integration.

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“…Purohit predicted that if a high-resolution time series database can be built to predict solar radiation data, it will have a considerable impact on the financing of solar projects [16]. Strong solar radiation [17], low energy technology costs [18], and accurate forecasting capacity [19] can effectively guarantee the financing of photovoltaic projects and the operation and maintenance after production. Garcia-Alvarez found that compared with the tariff scale and contract period, the on-grid tariff policy has a significant impact on photovoltaic power generation [20], and policymakers should make special modifications to grid tariffs and electricity prices to help excellent PV systems enter the market [21].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

et al. 2019

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With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

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Techno-economic analysis of a solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method

Cited by 122 publications

References 37 publications

Digital Mapping of Techno-Economic Performance of a Water-Based Solar Photovoltaic/Thermal (PVT) System for Buildings over Large Geographical Cities

Digital Mapping of Techno-Economic Performance of a Water-Based Solar Photovoltaic/Thermal (PVT) System for Buildings over Large Geographical Cities

Analysis of Future Loading Scenarios in a Norwegian LV Network

Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

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