Fossil Energy Consumption Research Articles

Environmental damages, cumulative exergy demand, and economic assessment of Panus giganteus farming with the application of solar technology

The use of photovoltaic (PV) technology in agricultural production can mitigate the environmental impacts of mushroom farming. However, changes in the environmental impacts and economic benefits of the application of PV technology are still unclear. Thus, we evaluated the environmental impacts, energy flow, and economic aspects of mushroom (Panus giganteus) farming systems without solar PV (WS) technology and with PV technology from the generation of substrate materials through harvesting. In addition to a 27 % increase in terrestrial ecotoxicity, P. giganteus farming with PV technology reduced all impact categories by 4–60 %, with a 60 % reduction in CO2 emissions and a 25 % reduction in land resources. These findings highlight the importance of combining PV technology with mushroom farming in agricultural carbon reduction and the efficient use of land resources. In terms of the climate change impact, the PV system reduced CO2 emissions by 2.94 kg CO2 eq./kg of mushrooms compared with the WS system, wherein the aspects of substrate transformation, spawn running, and cultivation were reduced by 78.27–89.91 %. The cumulative exergy demand (CExD) analysis showed that P. giganteus farming combined with PV technology reduced the total CExD by 48 %. With the application of PV technology, the top contributor to the total CExD of mushroom farming shifted from electricity to transportation throughout the supply chain. The PV system reduced costs by 22.09 % and increased the total revenue by 22 % and the cost-benefit ratio by 50 %. Halving the transportation distances of substrate materials and performing localized substitution of wood chips resulted in a 3–34 % reduction in the environmental impacts category and a 23–30 % reduction in nonrenewable fossil energy consumption. These results showed that improvements helped optimize the environmental performance in terms of carbon reduction and energy mixing. Thus, combining PV technology with greenhouse mushroom farming can improve trends in energy and environmental damage.

The synergistic effects of PM2.5 and CO2 from China's energy consumption

PM2.5 and CO2 emissions are of the same origin. Under the double pressure of PM2.5 and CO2 emissions reduction, PM2.5 and CO2 synergistic emissions reduction is an available way to achieve PM2.5 and carbon reduction. Previous studies had shown that reducing fossil energy consumption could decrease PM2.5 and CO2 emissions. The LEAP-China model and three scenarios namely the baseline scenario (BAS), the carbon peaking scenario (CPS) and the carbon peaking and carbon neutrality goals scenario (CCS) were developed to project energy consumption, PM2.5 and CO2 emissions in China during the period of 2021–2060. Then the synergistic effects of PM2.5 and CO2 were assessed using the synergy effects coordinate system (SECS) and the emissions reduction elasticity coefficient (EREC) method. The consequences demonstrated that: (1) the non-fossil energy consumption would dominate energy use and be the largest PM2.5 and CO2 emissions reduction from energy consumption in the CCS. (2) In the CCS, PM2.5 and CO2 emissions from energy consumption would have a significant synergistic effect on emissions reduction during 2020–2060. The transformation of the energy use mix should be accelerated and the energy use efficiency should be improved. Regular assessments of the synergistic effects of PM2.5 and CO2 should be conducted.

How does the transformation of the energy structure impact the coordinated development of economy and environment?

The energy structure transformation is of significant practical importance as it ensures energy security, accomplishes the "dual carbon" goal and realizes high-quality economic growth. In order to explore the impact exerted by energy structure transformation on the coordinated development of economic and environmental systems, this paper employs the coupled coordination degree model to measure the coupling degree of economic and environmental systems across 30 provinces in China from 2000 to 2021. Additionally, on the basis of theoretical analysis, it adopts the fixed effect model and the mediated effect model to provide a systematic explanation of the impact energy structure transformation exerts on the coordinated development of the economic and environmental systems, as well as the underlying mechanisms. The results reveal that China's structural transformation of energy consumption significantly promotes the coordinated development of the economic and environmental systems, a conclusion that remains robust even after consideration of the explanatory variable substitutions, municipality exclusion, and tail reduction. From the perspective of heterogeneity, regions with better economic development show a more obvious dividend effect of energy structural transformation on the coordinated development of the economy and the environmental system; energy structural transformation imposes a positive impact on the coordinated development of the economy and the environmental system only in regions characterized by high levels of human capital and urbanization. In terms of the mechanism of action, energy structural transformation can facilitate of industrial structure upgrading and then drive the coordinated development of economic and environmental systems. The study proposes several policy recommendations: transform the traditional fossil energy consumption mode, reduce the proportion of traditional fossil energy, introduce corresponding subsidy policies, encourage enterprises to invest in clean energy, boost investor confidence, and enhance employment quality and income level.

ENGINE PERFORMANCE TEST EVALUATION OF BIODIESEL BLENDS FROM CASTOR SEED OIL AT VARYING MIXTURE RATIOS AND ENGINE SPEED

The growing global demand for energy with expected fossil fuel shortages stresses the search for alternative energy sources. Moreover, the high fossil energy consumption with its adverse impact on environment and climate changes calls for cleaner fuels. One of the most alternative fuel sources is the extraction of biofuels from Castor oil by acid-based catalysed trans- esterification process. In this study, experimental analysis was carried out to produce biodiesel from castor oil using trans- esterification process. The trans- esterification process occurs between castor oil and methanol in the presence of potassium hydroxide (KOH) as a catalyst. The biodiesel fuel produced was varied at different mixture ratios with diesel. The high viscosity and acid value of the castor oil was further reduced by two-three stage trans-esterification process to within the American Society for Testing and Materials (ASTM) D6751 – 0.2 limits for biodiesel. The biodiesel was tested in a single cylinder diesel engine and results of gas emission, load analysis, fuel consumption rate and engine efficiency were all obtained which are close to those of diesel fuel thus confirming that it can be used as alternative fuel for diesel engines. The Brake thermal efficiency was 96% at B-20 biodiesel blend which is close to the conventional diesel engine efficiency of 95.5%.

A review of piezoelectric-electromagnetic hybrid energy harvesters for different applications.

Social progress is inseparable from the utilization of energy, signals of extreme consumption of fossil energy and energy crisis appear frequently around the world. Human beings are paying more and more attention to new technologies and the sustainable development of energy collection and conversion. The emergence of piezoelectric, electromagnetic, electrostatic, and triboelectric mechanisms provides a variety of effective methods for new environmental energy collection and conversion technologies. Among them, the piezoelectric-electromagnetic hybrid energy harvester (P-EHEH) has been widely studied due to its high output power, simple structure, and easy miniaturization. Continuous progress has been made in the research of P-EHEH through theoretical exploration, structural optimization, and performance improvement. This Review focuses on the review of P-EHEH at the application level. A detailed introduction summarizes the research status of P-EHEH applied to human body devices, monitoring sensors, and power supply devices, as well as the development status of back-end electronic modules and interface circuits. The future challenges and development prospects of P-EHEH are anticipated.

CATEGORICAL ANALYSIS TO PERCEPTIONS OF GOVERNMENT POLICY IN ELECTRICITY FUEL MANAGEMENT AS ALTERNATIVE TO SUBSTITUTE OIL FUEL USING CHI-SQUARE TEST

The scarcity and increase in world oil prices is a tough dilemma that must be responded to by the Indonesian government. In order to prevent fuel consumption from swelling, the government plans to reduce fuel subsidies. The plan certainly has many positive impacts, including savings on government finances so that they can be diverted to fund other programs that are more effective and on target. These savings are also useful in reducing the budget deficit, controlling the consumption of fuel oil, and saving non-renewable natural resources. It is appropriate for the state to think hard about switching energy to New and Renewable Energy (EBT) so that people's dependence on fossil energy consumption can be shifted. Therefore, this study aims to determine the current public perception of government policies in the management of fossil fuel energy so that they can be considered by the government in making comprehensive policy decisions. The data used in this study is in the form of primary data obtained from respondents with a population of Indonesian people and collected online through a questionnaire. The data analysis method in this study used the independence test with the chi-square test on categorical data. The results of this study indicate that there is a relationship between the level of public perception of the basic policy of managing electric fuel with the last level of education, type of work, and the area of the population.

Global Energy Transformation and the Impacts of Systematic Energy Change Policy on Climate Change Mitigation

This study aims to evaluate the effect of global energy transformation and systematic energy change on climate change. The model is constructed from dynamic panel data which comprises 26 world regions from the World Database Indicators (WDIs), International Energy Atomic (IEA), and International Monetary Fund (IMF), with a span from 2005 to 2022. The Generalized system Method of Moment (sys-GMM) and pooled OLS and random effect models have been used to empirically evaluate the linked effect of global transformation and systematic change on climate change. The sys-GMM approach is used to control the endogeneity of the lagged dependent variable when there is an association between the exogenous variable and the error term. Furthermore, it omits variable bias, measurement errors in the estimation, and unobserved panel heterogeneity. The econometric applications allow us to quantify the direct effect of global transformation and systematic change on climate change. The empirical analysis revealed that renewable energy, alternative energy, technology and innovation, and financial climate have a negative effect on climate change. It means that increasing consumption of the transformation energies leads to reducing the effect of climate change. However, fossil energy is statistically significant and positively affects climate change. Increasing the consumption of fossil energy raises the effect of climate change. There is a global need for massive decarbonization infrastructure that will help minimize the global warming that leads to climate change. Policies that take an endogenous approach through global transformation and systematic change should be implemented to reduce the effect of climate change. The policy should reduce the consumption of non-renewable energy and increase the consumption of renewable energy.

The Impact of Electricity Energy Production, Fossil Energy Consumption, Renewable Energy Consumption, Deforestation, and Agriculture towards Climate Change in Middle-Income Countries

This study aims to determine the effect of electrical energy production, fossil energy consumption, renewable energy consumption, deforestation and agriculture on climate change in middle-income countries. The method of analysis uses the Fixed Effect Model Cross-section weight regression model. The results of the study found that the production of electrical energy, the consumption of fossil energy had a significant positive effect on climate change. The development of environmentally friendly technologies in the agricultural sector needs to be carried out so that the sector does not damage the climate in middle-income countries. Reducing deforestation and consumption of renewable energy in middle-income countries has a positive effect on efforts to cure climate change.

The design of solar power thermoelectric radiant panel as cooling system in small buildings under tropical climate

The usage of an air–conditioning (AC) system in any building is necessary to maintain its indoor thermal comfort and health. However, this system consumes a lot of energy, while the usage of refrigerant causes irreversible damage to the ozone layer. To solve this problem, a solar thermoelectric radiant panel (PV-TERP) system has a high potential in replacing conventional AC system because it requires no refrigerant and easier to be controlled due to the absence of moving and mechanical parts such as water pumps, compressors, including auxiliary and hydronic pipes. Meanwhile, the usage of solar energy in the PV-TERP system can also help reduce fossil energy consumption and carbon emissions. The main objective of this work is to design a new PV-TERP system for replacing conventional AC systems in buildings located in tropical climate countries, like Malaysia. It is found that the designed PV-TERP system can provide up to 4.84 kW of cooling power, which is about 0.6% higher than the cooling load of targeted rooms. Here, the targeted rooms operate under indoor parameters within the acceptable range of ASHRAE standard-55. The obtained results clearly show that the new design is applicable to be used as a cooling system for the targeted building. In the future, it is then essential to understand the thermal properties and mechanism of the design via simulation process, followed by experimental validation to support the design feasibility. In conclusion, this new design of PV-TERP will lead the path toward expanding renewable energy applications for cooling purposes in sustaining and preserving the environment. HIGHLIGHTS Alternative cooling system in replacing air-conditioning (AC) system for maintaining indoor thermal comfort without harming the environment. Designation of the PV-TERP system as a cooling system for building in a tropical country (Malaysia) under indoor parameters within the acceptable range of ASHRAE Standard-55. The designed PV-TERP is refrigerant-free and operates using renewable energy, which can sustain and preserve the environment for a better future. GRAPHICAL ABSTRACT

PENGUNGKAPAN TANGGUNG JAWAB SOSIAL PERUSAHAAN PADA PERUSAHAAN SEKTOR ENERGI DI INDONESIA PERIODE 2018-2021

Indonesia is the fourth most populous country in the world with considerable fossil energy consumption. This study attempts to explore the corporate social responsibility disclosures of energy sector companies operating in Indonesia. This study uses descriptive analysis and trend analysis approaches. The analysis is conducted by comparing the proportion of disclosures that have been made with the disclosures that should be made based on the Global Reporting Initiatives (GRI). The results of the analysis show that energy sector companies in Indonesia still have fairly low disclosures (less than 50%) in the 2018-2021 period. However. There is a positive trend in social responsibility disclosure during the same period

Integrating Electric Vehicles to Power Grids: A Review on Modeling, Regulation, and Market Operation

Fossil energy consumption and environmental protection issues have pushed electric vehicles (EVs) to become one of the alternatives to traditional fossil-fuel vehicles. EV refers to a vehicle that uses electric energy as power and is driven by an electric motor. The electric energy of EVs is stored in batteries. When the EV is not traveling, the battery can provide power for other loads. Therefore, with the increase in the number of EVs and the load of the power grid, the EV-to-grid (V2G) mode, which uses EVs to supply power to the power grid, has gradually entered the field of vision of researchers. The physical connection mode, charge and discharge technology, and energy management strategy are the main topics of the current review papers; however, there is a lack of systematic research on V2G modeling, framework, and business models. This paper describes the concepts of the spatio-temporal distribution model and the adjustable capacity of EVs. In addition, common constraints and methods in optimization are introduced. Moreover, this paper introduces the interactive relationship among power grids, load aggregators, and EV users. Furthermore, the business model of V2G is introduced and analyzed from various perspectives. Finally, the future development of V2G is pointed out. This paper’s goal is to provide an overview of the present V2G application scenarios and to identify any challenges that must be overcome.

Comparative study on the improvement of a distributed energy system performance by optimized operation strategy from design to operation

The operation strategy directly affects the optimal design and operation performance of distributed energy systems (DESs). Following electrical load (FEL) and following thermal load (FTL) strategies, for example, cannot achieve the flexible scheduling of DESs. As a result, this paper proposes an optimized operation strategy with the optimization objectives of minimizing operating costs and reducing carbon emissions. A multi-objective system optimization model with a minimum total cost and a minimum fossil energy consumption as optimization objectives are established based on the optimized operation strategy. The design and operation of the proposed DES are optimized according to loads of a public building in Changsha, and the results are compared with those under the FEL and FTL strategies. The study demonstrates that the optimized operation strategy can avoid using the gas boiler under the design conditions, which improves the system’s operating efficiency and lowers the total system cost and fossil energy consumption. Compared to the FEL and FTL strategies, the total cost reduction rate of the system under the optimized operation strategy is 1.44% and 1.69%, respectively, and the fossil energy saving rate is 3.25% and 2.3%. Different from the design condition is that the optimized operation strategy under winter and summer operating conditions can not only improve the operating efficiency but also avoid the waste of waste heat from CHP units and reduce the grid power consumption, which makes the total system cost and fossil energy consumption under the optimized operation strategy significantly smaller than those under the FEL and FTL strategies, especially than the FEL strategy. Under the summer operation condition, the optimized operation strategy’s fossil energy saving rate and total cost reduction rate are 6.76% and 12.01%, while the rates are 22.38% and 36.20% in winter. Even if the energy price fluctuates, the total system cost and fossil energy consumption under the optimized operation strategy are less than those under the FEL and FTL strategies. Therefore, the proposed optimized operation strategy can improve the system’s energy efficiency and reduce total cost under the design and operation conditions.

A high-efficiency gas–liquid coupled heat-driven thermoacoustic heat pump

The search for a diversified and sustainable technology for energy utilisation is crucial for reducing the consumption of fossil energy. This research proposed a novel heat-driven thermoacoustic heat pump with a gas–liquid coupled resonator that exhibits high efficiency, compact structure and easy fabrication. A series of theoretical and experimental studies has been performed in this work, including numerical and experimental domestic heating performance, onset characteristics as well as the effects of different liquid masses and high and ambient temperatures on the performance of a heat pump. Results show that the theoretical and experimental heat pump performance exhibit good agreement, with a standard error of about 5%. Moreover, the gas–liquid coupled heat-driven thermoacoustic heat pump has a low onset temperature (70 °C at 3 MPa), offering a wide range of applications for low-grade thermal energy utilisation. With high, ambient and domestic heating temperatures of 300 °C, 10 °C and 50 °C, respectively, a maximum domestic heating power of 18.4 kW is obtained, corresponding to the maximum coefficient of performance of domestic heating based on heating power (COPh) of 1.48. Furthermore, a maximum relative Carnot efficiency of 50.9% and a COPh of 1.31 with a hot-end temperature of 300 °C are achieved under ambient and domestic heating temperatures of −20 °C and 50 °C, respectively. These results present a new domestic heating approach for the utilisation of medium- and low-grade thermal energy.

Alarming contagion effects: The dangerous ripple effect of extreme price spillovers across crude oil, carbon emission allowance, and agriculture futures markets

The inherent financial interconnections between crude oil prices, carbon emission allowances, and agriculture commodity futures warrant a thorough investigation as fossil energy consumption, carbon emissions, and agriculture plants are three critical components of global environmental protection. This paper aims to quantify not only the normal (mean quantile) static and dynamic spillover effects among them in both time and frequency domains but also the more critical extreme spillovers that occur across various time horizons. Additionally, we explore the vital role of carbon futures in hedging risk and enhancing the performance of oil and agricultural portfolios. Empirical results indicate that, under extreme market situations, the total spillovers among oil, carbon, and agriculture commodity futures are much larger than those under normal conditions. Furthermore, soybean and corn are generally the most potent information transmitters over other futures in the time domain, while carbon emission allowance futures act as an obvious spillover receiver at both normal and extreme market conditions across various time frequencies. Both the total spillover and the net spillover are centered at a short-term frequency (i.e., one to four weeks). Finally, we find that carbon futures can contribute to improving the hedge effectiveness and performance of oil and agricultural portfolios. These findings have valuable implications for policymakers, relevant producers/consumers, as well as futures investors.

Multi-objective optimization and improvement of multi-energy combined cooling, heating and power system based on system simplification

The multi-objective optimization of combined cooling, heating, and power (CCHP) systems typically focuses on optimizing objective functions that consider energy, environmental, and economic factors. However, the implementation of optimization solutions, which is related to decision variables, is often overlooked. This paper proposes a novel improved optimization method based on system simplification by reorganizing, re-optimizing and re-selecting the initial optimized population to improve decision variables. And created algorithm pseudocode. The improved algorithm is adopted to perform multi-objective optimization on the established multi-energy CCHP system. The hypervolume of the improved/original algorithm is 0.9770/0.9887, with only a 1.18% difference. The optimization results of the improved algorithm and the original algorithm are equal in the minimum values of the net present value (NPV) and fossil energy consumption (FEC), which are 2.26 × 107$ and 1.21 × 105GJ, respectively. There is only 1.4% difference in the carbon dioxide emissions (CDE). The number of equipment types corresponding to the decision variables of the improved algorithm is reduced from 8 to 4, significantly simplifying the systems. The proposed improved optimization method can harness the local energy-saving potential and comprehensively analyze optimization solutions in terms of energy, economy, and environment. It also obtains simplified systems to promote the implementation of the project.

Exploring necessary and sufficient conditions for carbon emission intensity: a comparative analysis.

This research investigates the factors influencing carbon emission intensity in 94 countries during 2018 using two qualitative methods: necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). The study covers variables related to economics, human geography, energy, and institutions, showing significant variations among them. The NCA model identifies economic complexity and fossil energy consumption as necessary conditions for high-carbon emission intensity. On the other hand, the fsQCA model reveals sufficient conditions for both high- and low-carbon emission intensity, presenting different causal combinations of variables. For high-carbon emission intensity, nine causal solutions are identified, emphasizing the roles of economic growth, urbanization, fossil energy consumption, and institutional quality. Reducing carbon emission intensity requires addressing economic complexity and reducing reliance on fossil energy consumption. Policymakers should focus on sustainable economic development, environmentally friendly urbanization, and transitioning to renewable energy sources. This research's originality lies in its qualitative approach, going beyond traditional regression methods to explore necessary and sufficient conditions for carbon emission intensity. It offers valuable insights into the complex interplay of variables, providing multiple causal configurations for both high- and low-carbon emission intensity.

Carbon Emission Efficiency and Reduction Potential Based on Three-Stage Slacks-Based Measure with Data Envelopment Analysis and Malmquist at the City Scale in Fujian Province, China

Increased carbon emissions led to extreme weather, global warming, and other environmental problems. In order to control energy input and reduce carbon emissions, this study first combines a three-stage Slacks-Based Measure with Data Envelopment Analysis (SBM-DEA) and uses the Malmquist index to quantify energy consumption at the city scale and the related carbon emission efficiency in Fujian Province for the period 2015–2020. Second, we explore the carbon reduction potential on the city scale from the perspective of improving carbon emission efficiency. Our results demonstrate that (i) the carbon emission efficiency of the nine cities increases overall in the first stage, when technical efficiency approaches the efficiency frontier state and efficiency shortage is mainly caused by the lack of pure technical efficiency. (ii) Regression by stochastic frontier analysis in the second stage reveals that the secondary industry correlates positively at 1% significance with fossil energy consumption and power consumption, indicating that the carbon emission efficiency decreases as the secondary industry increases. (iii) Putian and Xiamen reduced their carbon emission efficiency in the third stage due to (a) the input redundancy of fossil energy and social power consumption and (b) excessive undesirable output carbon emissions. (iv) There were improvements in carbon emission efficiency peaks in 2015, with Longyan, Ningde, and Sanming improving by about 50%. This improvement then decreased up to the year 2020, when the improvement in the carbon emission efficiency of Ningde and Zhangzhou was 6.02% and 9.50%, respectively, and that of all other cities was less than 1%. Therefore, we suggest that carbon emission reduction in the future can be further improved by improving technology, optimizing industrial structure, and various other ways to further improve carbon emission efficiency.

Synthesis strategies of metal-organic frameworks for CO2 capture

The high consumption of fossil energy has led to increasing concentrations of carbon dioxide (CO2) in the atmosphere, making carbon capture and separation a research hotspot in this century. As novel porous materials, metal-organic frameworks (MOFs) are widely used for CO2 capture due to their unique structures and tunable properties. Currently, several relatively mature strategies have been applied to synthesize MOFs for CO2 capture. Herein, we investigate strategies for tuning the pore windows, pore sizes, open metal sites, and post-synthesis or pre-synthesis modifications of MOFs from the perspective of CO2 capture performance. Furthermore, we summarize the relevant CO2 capture technologies and research advances and describe the application of different strategies in the synthesis of CO2 capture-oriented MOFs.

Understanding inter-term fossil energy consumption pathways in China based on sustainable development goals

Sustainable development goals (SDGs) and fossil energy are the core elements of almost all major challenges and opportunities for achieving social development. Particularly, energy sustainability has become one of the pivotal drivers of China's economy. This study constructed a comprehensive evaluation index system for the provincial-level sustainable development of fossil energy in China covering three major dimensions (socio-economic, resource, and environmental). Moreover, a set of criteria for measuring the SDGs of fossil energy at the national level in China was developed. Based on the provincial panel data collected from 30 provinces from 2010 through 2019, a spatial econometric model was applied to empirically evaluate the effects of SDGs on fossil energy consumption. The results showed that the SDGs not only promote the reduction of fossil energy consumption with substantial negative spatial spillover effects, but also revealed differences between northern and southern China. To promote the early achievement of sustainable fossil energy development in China, the transformation and upgradation of fossil energy systems should be conducted early and inter-regional cooperation should be strengthened according to local conditions to jointly achieve the SDGs.

Electrical and thermal performance of multidimensional semi-transparent CdTe PV window on offshore passenger ships in moored and sailing condition

Utilizing solar energy is an effective method to decrease fossil energy consumption in marine field. Horizontally installed deck photovoltaic (PV) systems have been widely investigated to reduce navigation energy consumption on ocean-going ships. However, energy saving rate is unsatisfactory because of the low energy density of solar energy and the shadow caused by ship body. As for large amount of offshore small ships, it's even harder to utilize the existing technology since deck space is limited. In this paper, semi-transparent CdTe PV window system is proposed for offshore passenger ships without enough deck spaces but with large window area around ship cabin. Multidimensional PV windows can increase PV area and reduce heat gain inside the cabin, shadow effect caused by ship body is also avoided. Energy saving can be both achieved by electrical generation actively and cooling load reduction passively. Dynamic mathematical models of multidimensional PV window under moored and sailing conditions are established. Simulation results indicate that the daily electrical generation and average electrical efficiency are 0.74 kWh & 14.65% in moored condition and 0.83 kWh & 16.24% in sailing condition. Navigation leads to higher received solar radiation (18.2%), higher electrical generation (12.1%) and higher electrical efficiency (10.85%). Electricity created by PV window can support 6 h' continuous operation for auxiliary system on board. With PV windows, the average air temperature in cabin is decreased by 6.5 °C compared with ordinary windows. The average heat fluxes through four directions of PV windows are decreased by 75.44%, 73.64%, 47.52% and 75.33% compared with ordinary windows.