Energy最新文献

{"title":"Self-superheated combined flash binary geothermal cycle using transcritical-CO2 power cycle with LNG heat sink as the secondary cycle","authors":"Subha Mondal ,&nbsp;Sudipta De","doi":"10.1016/j.energy.2024.133742","DOIUrl":"10.1016/j.energy.2024.133742","url":null,"abstract":"<div><div>Combined flash binary geothermal cycle (CFBGC) is an efficient geothermal energy conversion technology. Natural gas (NG) is a preferred fuel in the current energy scenario. LNG gasification is a needed step for delivering NG among the end users. In the present study, a self-superheated single-flash geothermal steam cycle, a transcritical CO₂ power cycle and an LNG gasification unit are integrated into a CFBGC. This study shows that the LNG gasification rate and power output can be increased simultaneously by increasing the steam turbine inlet pressure. At a higher steam turbine inlet pressure, desirable steam quality (i.e., 0.9) at the steam turbine exit is maintained by implementing self superheating of the steam. It is observed that 15 °C DSH of steam enables the CFBGC to operate at a steam turbine inlet pressure that substantially enhances the output power without a noticeable increase in levelized electricity cost (LEC). The CFBGC operating at this condition yields 9.97 % higher power output compared to that of the CFBGC operating at steam turbine inlet pressure requiring no DSH of steam. As a geothermal-based power plant emits very low CO₂, the proposed energy system may emerge as a future sustainable energy option.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133742"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Frequency security constraint in unit commitment with detailed frequency response behavior of wind turbines","authors":"Jianshu Yu,&nbsp;Pei Yong,&nbsp;Juan Yu,&nbsp;Zhifang Yang","doi":"10.1016/j.energy.2024.133735","DOIUrl":"10.1016/j.energy.2024.133735","url":null,"abstract":"<div><div>With the high penetration of wind turbines, the necessity of incorporating frequency security considerations into power system scheduling rises. Existing methods achieve the explicit modeling of frequency security constraints by simplifying the frequency response behavior of wind turbines. However, simplifications might lead to inaccuracy. To address this issue, this paper models the frequency response from wind turbines in detail and proposes a novel framework to construct the frequency security constraint for unit commitment (UC). First, the frequency security constraint is positioned at the segment that is effective for the dispatch decision instead of the whole boundary, which is unnecessary and complicated. Then, an analytical linear surrogate expression of the frequency security boundary is constructed through a data-driven approach. To ensure the accuracy of the surrogate constraint, a neighborhood sampling strategy is proposed to collect balanced samples. Furthermore, to reduce the linearization error of the surrogate constraints, supplementary constraints are added to restrict the width of the surrogate constraint. Finally, to address the modeling errors that may deviate from the frequency security requirements, a correction strategy is proposed. Case studies validate the proposed method and verify that it exceeds existing methods in the modeling accuracy of the power system frequency security.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133735"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal-hydraulic characteristics of an earth air heat exchanger: An experimental analysis","authors":"Emad M.S. El-Said","doi":"10.1016/j.energy.2024.133766","DOIUrl":"10.1016/j.energy.2024.133766","url":null,"abstract":"<div><div>The pipe layout design has a great effect on the thermal-hydraulic characteristics of earth air heat exchanger (EAHE) systems. So, in the current study proposed four new buried pipe design configurations; low to high to low, high to low to high, spiral, and circular, in addition to the straight or uniform for comparison. These five configurations are tested and analyzed experimentally depending on the thermo-hydraulic performance for summer cooling requirements with variation of Re in the range of 18041–40843. The results show that changing the uniform design of the EAHE with fixed pipe length enhances both the heat transfer process and pressure loss values. At the same operating conditions, the circular design has the best performance compared to the other ones. For all pipe shapes, the cooling effect increases with the increase of air <em>Re</em>. The thermal-hydraulic performance of the circular design pipe is higher than that of the other pipe designs. The highest coefficient of performance (COP) average values that can be obtained at Re = 18041 is 3.05 for circular shape and enhances by 48.08 % compared to uniform shape. The effectiveness of EAHE with circular shape is improved by about 3.52 % compared to uniform shape at Re = 18041. Spiral design is optimum design based on the <em>Nu</em> value which reaches about 48 with enhancement 12.56 % and 0.34 % compared to uniform and circular shapes respectively, at Re = 40843. The hydrothermal performance factor is highest in the case of circular shape with value about 21.9 at Re = 21257. By increasing <em>Re</em>, the drawbacks of the increasing in the total entropy generation are reflected negatively on the exergy efficiency. The specific cost of the circular shape at Re = 40843 is the optimum value by about 0.7 $/W. Spiral and circular shapes have a decrease of CO₂ emissions less than uniform shape by percentage varied from 2.93 % to 13.84 % for decrease in the Re from 21257 to 40843. It is concluded that using EAHE with four new shapes is highly efficient in increasing cooling capacity and energy consumption in buildings.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133766"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic thermal simulation of a tree-shaped district heating network based on discrete event simulation","authors":"Zichan Xie ,&nbsp;Haichao Wang ,&nbsp;Pengmin Hua ,&nbsp;Maximilian Björkstam ,&nbsp;Risto Lahdelma","doi":"10.1016/j.energy.2024.133775","DOIUrl":"10.1016/j.energy.2024.133775","url":null,"abstract":"<div><div>The computational complexity involved in modelling district heating (DH) networks impedes the integration of network operations into comprehensive DH system studies. We developed a flexible, accurate, and fast dynamic thermal simulation model utilising discrete event simulation (DES). This model is versatile, suitable for any tree-shaped DH network with a central heating plant and can estimate node temperatures and calculate pipe heat losses. The speed of the model is improved via using variable time steps and by incorporating two advanced techniques: lazy evaluation and a customised priority queue. To further improve the computational speed, we developed a technique to eliminate redundant sampling points. This model was tested and demonstrated excellent consistency with actual measurements. Remarkably, reducing sampling points can speed up the simulation by a factor of three without compromising the temperature accuracy. A 72-day simulation of a network with 102 pipes was completed within 0.219 s. Our findings highlight the significant potential of the DES model for large-scale dynamic network simulations and offer a promising solution for DH network simulations and system optimisation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133775"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A geographic multi-scale machine learning framework for predicting solar irradiation on tilted surfaces","authors":"Sameer Al-Dahidi ,&nbsp;Bilal Rinchi ,&nbsp;Raghad Dababseh ,&nbsp;Osama Ayadi ,&nbsp;Mohammad Alrbai","doi":"10.1016/j.energy.2024.133767","DOIUrl":"10.1016/j.energy.2024.133767","url":null,"abstract":"<div><div>This study addresses the challenge of improving Global Tilted Irradiation (GTI) predictions, with Jordan serving as the case study. The novelty of the work lies in developing machine learning models that predict GTI at national, regional (3 regions), and city-specific (12 cities) levels, a previously unexplored approach in the literature. The research examines the comparative efficiency of using a single model for an entire country versus tailored models for individual regions and cities, shedding light on the trade-offs in model evaluation. Various regression models, including Neural Networks (NNs), Linear Regression (LR), Regression Trees (RTs), Ensemble of Regression Trees (ERTs), Support Vector Machine (SVM), and Kernel Approximation, were evaluated using performance metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R²). NNs consistently performed best, achieving the lowest RMSE (1.5787 kWh/m²) and highest R² (99.8600 %) at the regional level. Sensitivity analysis further explored the impact of different time resolutions, revealing that monthly data outperformed daily data in terms of accuracy and computational efficiency. Ultimately, we conclude that region-specific models and monthly data resolution are optimal for practical GTI prediction.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133767"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic methodology for selecting optimal technology for waste heat utilization in food processing industry","authors":"Mladen Josijevic,&nbsp;Vladimir Vukasinovic,&nbsp;Dusan Gordic,&nbsp;Vanja Sustersic,&nbsp;Dubravka Zivkovic,&nbsp;Jelena Nikolic","doi":"10.1016/j.energy.2024.133751","DOIUrl":"10.1016/j.energy.2024.133751","url":null,"abstract":"<div><div>Utilizing waste heat that is rejected from thermal processes can greatly enhance the industry's energy balance. Identifying potential waste heat sources in the food and beverage processing industry and making estimations for their possible utilization can be an extremely challenging undertaking. To determine waste heat potentials in the food processing industry and to select an optimal technology for its utilization a novel systematic methodology based on the comprehensive energy audit and mathematical optimization has been developed. The developed mixed integer nonlinear programming model incorporates all novel and the most commonly employed technologies to utilize waste heat.</div><div>The developed systematic methodology is tested on a case study, of a milk and dairy production facility. Obtained results have shown that up to 53 % of the available waste heat can be used in the scenario of limited investment costs. Otherwise, in the scenario when investment costs are not set as a limitation, 75 % of waste heat can be used, according to plant demands. Harmonising production processes is necessary to use all the waste heat. The developed systematic methodology can be applied to any food processing industry and other facilities producing waste heat because it presents a universal approach.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133751"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does China's Winter Heating policy impact corporate sustainable development performance?","authors":"Tianqi Liu ,&nbsp;Liwen Wang ,&nbsp;Ping Zhou ,&nbsp;Hailing Li","doi":"10.1016/j.energy.2024.133771","DOIUrl":"10.1016/j.energy.2024.133771","url":null,"abstract":"<div><div>The China's Winter Heating policy plays a crucial role in China's regional environmental regulatory framework, particularly concerning the challenge of atmospheric pollution. This study investigates the impact of this policy on corporate sustainable development performance in the “2 + 26” cities of the Beijing, Tianjin and Hebei region (BTH2+26) at the micro-level. It employs a dual perspective focusing on emission reduction and efficiency enhancement (i.e., sustainable development), utilizing a DID model based on the policy shock from the first implementation of the China's Winter Heating policy in 2017. The findings indicate that this policy not only effectively promotes pollution reduction among heavy-polluting companies, thereby enhancing their environmental performance, but also improves their financial performance. Robustness tests confirm the significance of these results. Mechanism analysis reveals that the policy's facilitative effect on heavy-polluting companies is mediated through promoting green innovation and easing financing constraints, with the innovation investment being the main channel to promote the corporate environmental performance. Heterogeneity analysis shows differential impacts across company nature and industry attributes, highlighting the policy's varied effects on environmental performance and financial performance across sectors. This research contributes empirical evidence and policy insights into enhancing sustainable development performance among heavy-polluting companies under the China's Winter Heating policy framework.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133771"},"PeriodicalIF":9.0,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation on thermodynamic and environmental performance of a novel ocean thermal energy conversion (OTEC)-Air conditioning (AC) system","authors":"Yibo Zhou,&nbsp;Wenzhong Gao,&nbsp;Yuan Zhang,&nbsp;Zhen Tian,&nbsp;Fei Wang,&nbsp;Runbo Gao","doi":"10.1016/j.energy.2024.133760","DOIUrl":"10.1016/j.energy.2024.133760","url":null,"abstract":"<div><div>In the field of isolated island energy supply, the OTEC system is considered promising due to its large storage capacity, and pollution-free characteristics. To improve energy efficiency, polygeneration systems have gradually become a research hotspot for their low cost and high return features. In this context, a novel Ocean Thermal Energy Conversion system integrated with an air conditioning unit (OTEC-AC) is introduced, demonstrating capabilities in electricity, cooling capacity, and fresh water production by experiments. The effects of various flow rates and temperatures of the heat and cold sources, along with the air-conditioning system water flow rate on the system performance is explored. Besides, the overall performance of the OTEC-AC is compared with four representative OTEC models. The results indicate that there is a threshold for the influence of cold and heat source flow rate on the performance of power generation system. The OTEC-AC system shows a highest net power of 132.6 W, cooling capacity of 2.14 kW, condensate production of 3.24 kg/h, and achieves a system exergy efficiency and CO₂ reduction of 34.7 % and 5801 kg/year, respectively. The annual CO₂ reduction per kilowatt of installed capacity of the system is increased by 135.6 %, compared with the conventional OTEC system.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133760"},"PeriodicalIF":9.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Degradation-infused energy portfolio allocation framework: Risk-averse fair storage participation","authors":"Parikshit Pareek ,&nbsp;L.P. Mohasha Isuru Sampath ,&nbsp;Anshuman Singh ,&nbsp;Lalit Goel ,&nbsp;Hoay Beng Gooi ,&nbsp;Hung Dinh Nguyen","doi":"10.1016/j.energy.2024.133688","DOIUrl":"10.1016/j.energy.2024.133688","url":null,"abstract":"<div><div>This work proposes a novel degradation-infused energy portfolio allocation (DI-EPA) framework for enabling the participation of battery energy storage systems in multi-service electricity markets. The proposed framework attempts to address the challenge of including the <em>rainflow</em> algorithm for cycle counting by directly developing a closed-form of marginal degradation as a function of dispatch decisions. Further, this closed-form degradation profile is embedded into an energy portfolio allocation (EPA) problem designed for making the optimal dispatch decisions for all the batteries together, in a shared economy manner. We term the entity taking these decisions as ‘facilitator’ which works as a link between storage units and market operators. The proposed EPA formulation is quipped with a conditional-value-at-risk (CVaR)-based mechanism to bring risk-averseness against uncertainty in market prices. The proposed DI-EPA problem introduces fairness by dividing the profits into various units using the idea of marginal contribution. Simulation results regarding the accuracy of the closed-form of degradation, effectiveness of CVaR in handling uncertainty within the EPA problem, and fairness in the context of degradation awareness are discussed. Numerical results indicate that the DI-EPA framework improves the net profit of the storage units by considering the effect of degradation in optimal market participation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133688"},"PeriodicalIF":9.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does technological progress mode affect just energy transition? A seemingly unrelated regression analysis based on Chinese provincial panel data","authors":"Jingrong Dong ,&nbsp;Wenqing Zhang ,&nbsp;Yuke Chen ,&nbsp;Tingting Li","doi":"10.1016/j.energy.2024.133753","DOIUrl":"10.1016/j.energy.2024.133753","url":null,"abstract":"<div><div>Just energy transition (JET) refers to the process of shifting from fossil-fuel-based energy systems to more sustainable and renewable energy sources in a manner that is inclusive and socially fair. Technological progress is a key driver of the energy transition. Selecting an appropriate technological progress mode (TPM) to drive JET that harmonizes environmental conservation with employment stability is crucial for economies to achieve sustainable development. Based on seemingly unrelated regression (SUR) analysis, this research uses provincial panel data of China from 2001 to 2020 to examine the effects and underlying mechanisms of various TPMs on JET. We first construct a translog cost function incorporating four TPMs, including technology import, technology transformation, cooperative research and development (R&amp;D), and independent R&amp;D. The study then systematically estimates and contrasts the factor bias and utilization tendencies associated with these TPMs. The findings indicate that (1) technology import does not directly facilitate JET as it leads to neutral technological progress; (2) technology transformation and cooperative R&amp;D, associated with energy-biased technological progress, exhibit a tendency toward energy use and labor saving, which hinders JET; (3) independent R&amp;D, linked with labor-biased technological progress, demonstrates a labor-using and energy-saving orientation, which supports JET; (4) the adverse effects of technology transformation and cooperative R&amp;D on JET can be mitigated through enhanced environmental regulation, increased environmental taxation, and the provision of low-carbon subsidies. We offer policy recommendations for the Chinese government in promoting TPMs that foster JET while also providing insights and experiences that are beneficial to economies at various development stages in their pursuit of JET.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133753"},"PeriodicalIF":9.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}