Matching Model of Energy Supply and Demand of the Integrated Energy System in Coastal Areas
01 Jun 2020-Journal of Coastal Research (Coastal Education and Research Foundation)-Vol. 103, pp 983-989
TL;DR: In this article, a matching model of energy supply and demand of the integrated energy system in coastal areas in the United States was constructed by using the matching relationship between energy supply-demand, so as to complete the matching of the matching.
Abstract: Zhao, X; Gu, B; Gao, F, and Chen, S, 2020 Matching model of energy supply and demand of the integrated energy system in coastal areas In: Yang, Y; Mi, C; Zhao, L, and Lam, S (eds), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering Journal of Coastal Research, Special Issue No 103, pp 983–989 Coconut Creek (Florida), ISSN 0749-0208Due to the uncertainty of the selection range of the main equipment capacity of the distributed energy system in coastal areas, the matching ability of energy supply and demand is relatively low From the two directions of “power by heat” and “heat by electricity”, the operation and output modes of energy in the system are studied; the selection range of the main equipment capacity of the distributed energy system is determined by calculating the load of energy supply and demand; according to the selection range, the necessary mapping conditions of the matching relationship between energy supply and demand are analyzed, and the matching model of energy supply and demand is constructed by using the matching relationship between energy supply and demand, so as to complete the matching of energy supply and demand of the integrated energy system in coastal areas The experimental results show that the total energy output of the integrated energy system in coastal areas reaches 1867 kJ in unit time, but the proportion occupancy rate between the output nodes is the lowest, which has a good matching ability of energy supply and demand
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TL;DR: In this article, the effects of technological innovation, financial development, and economic growth (GDP) on the ecological footprint (EF) controlling urbanization and employing a STIRPAT framework were investigated.
Abstract: The literature analyzing the ecological impacts of financial development (FD) documents mixed results. In addition, very limited researches consider the role of technological innovation in ecological sustainability even though technological innovation is indispensable to achieve technological advancement, which may help in sustainable development and ecological sustainability. Therefore, this work probes the effects of technological innovation, financial development, and economic growth (GDP) on the ecological footprint (EF) controlling urbanization and employing a STIRPAT framework. The analysis of data from West Asia and Middle East nations from 1990 to 2017 revealed cointegration in the model. The long-run coefficients produced by the continuously updated fully modified technique revealed that a 1% upsurge in technological innovation decreases EF by 0.010%. Interestingly, technological innovation is helpful to decrease EF and enhance economic growth in the West Asia and Middle East (WAME) countries. However, a 1% rise in FD boosts the level of EF by 0.0016% inferring that FD stimulates ecological degradation. Likewise, urbanization in the WAME countries raises EF levels and contributes adversely to ecological quality. In addition to this, the study revealed the environmental Kuznets curve hypothesis in the selected countries accounting for technological innovation, FD, and urbanization in the model. The causal analysis provided evidence of unidirectional causality from FD to EF and bidirectional causality between technological innovation and EF. The study recommends more investment in research and development and strong collaboration between the universities and industries to promote the level of technological innovation for both sustainable development and ecological sustainability. In addition, urban sustainability policies are necessary without decreasing the urbanization level.
153 citations
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TL;DR: In this paper, the effect of government subsidies and tax rebate policies on renewable energy firms' investment efficiency using China's renewable energy firm-level panel data was explored using Banker, Charnes and Cooper's data envelopment analysis (DEA) approach.
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Abstract: The study estimates the long-run dynamics of a cleaner environment in promoting the gross domestic product of E7 and G7 countries. The recent study intends to estimate the climate change mitigation factor for a cleaner environment with the GDP of E7 countries and G7 countries from 2010 to 2018. For long-run estimation, second-generation panel data techniques including augmented Dickey-Fuller (ADF), Phillip-Peron technique and fully modified ordinary least square (FMOLS) techniques are applied to draw the long-run inference. The results of the study are robust with VECM technique. The outcomes of the study revealed that climate change mitigation indicators significantly affect the GDP of G7 countries than that of E7 countries. The GDP of both E7 and G7 countries is found depleting due to less clean environment. However, green financing techniques helps to clean the environment and reinforce the confidence of policymakers on the elevation of green economic growth in G7 and E7 countries. Furthermore, study results shown that a 1% rise in green financing index improves the environmental quality by 0.375% in G7 countries, while it purifies 0.3920% environment in E7 countries. There is a need to reduce environmental pollution, shift energy generation sources towards alternative, innovative and green sources.The study also provides different policy implications for the stakeholders guiding to actively promote financial hedging for green financing. So that climate change and envoirnmental pollution reduction could be achieved effectively. The novelty of the study lies in study framework.
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TL;DR: In this paper, the authors investigated the association between financial globalization, economic growth, and EF controlling population density (PD) in the selected West Asian and the Middle East (WAME) nations from 1990 to 2017.
Abstract: In recent years, many empirical studies investigated the effects of globalization on the ecological footprint (EF). Most of these studies relied on the KOF index of globalization and studied the effects of total globalization and disaggregated impacts of economic, social, and political globalization on the EF. However, less attention has been given to financial globalization which can also influence the EF. Hence, this study investigates the association between financial globalization (FG), economic growth (GDP), and EF controlling population density (PD) in the selected West Asian and the Middle East (WAME) nations from 1990 to 2017. The study relied upon second-generation methods for checking stationary properties and Westerlund and other techniques to scrutinize cointegration. The evidence showed cointegration in the model. The long-run approximations from continuously updated fully modified (CUP-FM) and continuously updated bias corrected (CUP-BC) tests divulge that financial globalization is an important factor to promote ecological sustainability in the sample countries because it decreases EF. Population density exacerbates EF and worsens environmental deterioration in sample countries. The study detected the environmental Kuznets curve (EKC) between EF and economic growth in the presence of financial globalization and population density. Besides, financial globalization Granger causes EF, while the feedback effect exists between EF and economic growth. Based on these results, WAME economies can accomplish ecological sustainability and sustainable development by enhancing their financial globalization levels.
57 citations
References
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TL;DR: The robust optimization (RO) technique is provided to investigate the uncertainty of the pool market price in the presented problem and the purchased cost to the LEC is reduced 8.2% and 6.5% in risk-neutral and robust strategies, respectively.
Abstract: Large electricity consumers (LEC) can purchase energy from various energy resources such as bilateral contracts, pool market, micro-turbines, battery storage systems, wind turbines, photovoltaic panels (PV). The uncertainty of market price leads to uncertainty in the total cost to the LEC. Therefore, in this article, the robust optimization (RO) technique is provided to investigate the uncertainty of the pool market price in the presented problem. Also, demand response program (DRP) is provided to decrease the purchased cost to the LEC as much as possible. According to the obtained results, without considering DRP, purchased cost is approximately $40,253.252 and $42,586.984, respectively in the risk-neutral strategy (ideal condition) and robust strategy (worst condition). Furthermore, the purchased cost is reduced nearly $36,945.362 and $39,789.267 in the risk-neutral and robust strategies with considering DRP. So, it can be concluded that the purchased cost to the LEC with considering DRP is reduced 8.2% and 6.5% in risk-neutral and robust strategies, respectively.
133 citations
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"Matching Model of Energy Supply and..." refers background or methods in this paper
...Utilization of renewable energy and traditional fossil energy can not only solve the problem of renewable energy discontinuity, but also promote the development and application of renewable energy to alleviate the shortage of fossil energy and reduce environmental pollution (Yu et al., 2019a)....
[...]
...…using modern mathematical methods, system technology and electronic computer technology, and the simulation analysis of energy system is carried out to scheme the integration, efficiency and optimization of energy development and utilization (Yu et al., 2019b; Yu et al., 2020a; Yu et al., 2020b)....
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