<?xml version="1.0" encoding="utf-8"?>
    <rss version="2.0">
      <channel xmlns:content="http://purl.org/rss/1.0/modules/content/">
        <title>Frontiers in Energy Efficiency | Energy Efficiency Applications section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/energy-efficiency/sections/energy-efficiency-applications</link>
        <description>RSS Feed for Energy Efficiency Applications section in the Frontiers in Energy Efficiency journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-05-15T00:31:02.10+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2026.1714011</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2026.1714011</link>
        <title><![CDATA[The economic multiplier: analysis of public transportation investment on urban development in emerging cities]]></title>
        <pubdate>2026-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jamiu Adeniyi Yusuf</author>
        <description><![CDATA[Urbanization in developing nations is proceeding at an unprecedented pace, placing immense strain on urban infrastructure and public services. Public transportation systems are widely considered critical levers for sustainable and equitable urban development, yet rigorous quantitative evidence of their economic impact in the context of emerging cities remains scarce. This paper investigates the economic impact of public transportation investment on urban development across a panel of major emerging cities. Using a fixed-effects panel data model for the period 2000–2023, this study quantifies the effect of transport infrastructure investment on key economic indicators: city-level GDP per capita, property value appreciation, and employment rates. The econometric analysis, controlling for factors such as population density, human capital, and governance quality, reveals that a one-percentage-point increase in public transport investment as a share of city GDP is associated with a statstically significant 0.045% increase in GDP per capita and a 0.12% increase in property values. While the direct impact on aggregate employment rates is found to be modest, the findings underscore the role of public transport as a potent catalyst for economic activity and asset value enhancement. The study discusses the theoretical mechanisms underpinning these results, including agglomeration economies and land value capture, and concludes with targeted policy recommendations. These include the adoption of data-driven network planning, the implementation of value capture financing mechanisms to ensure fiscal sustainability, and the integration of transport policy with inclusive housing strategies to mitigate gentrification.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2025.1612724</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2025.1612724</link>
        <title><![CDATA[Performance analysis of air-to-ground heat exchanger systems: a detailed investigation of finned and un-finned tube designs for oil pipeline cooling]]></title>
        <pubdate>2025-05-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Eman A. Hummood</author><author>Mushtaq I. Hasan</author><author>Farhan Lafta Rashid</author><author>Mudhar A. Al-Obaidi</author><author>Arman Ameen</author>
        <description><![CDATA[Using a comprehensive analysis, this research intends to assess the performance of an air-to-ground heat exchanger system designed for cooling air compression equipment in oil pipeline operations. Both numerical simulations and experimental investigations are conducted to compare the performance of un-finned tubes with finned tubes of different configurations, including square perforated annular fin tubes, annular fin tubes and circular perforated annular fin tubes. In turn, this would identify optimal configurations for maximum heat transfer. The system uses a 1.5 m long PVC pipe with a 6-inch diameter, buried 3.5 m underground. A relatively stable ground temperature of approximately 30°C at a depth of 3 m throughout the year contributes to the cooling efficiency of the system during summer and heating in winter. The results obtained between July and August 2023 indicate that annular finned tubes can provide superior heat transfer rates in both experiments and simulations compared to un-finned tubes. Furthermore, annular fin tubes demonstrate the highest cooling efficiency. However, they also exhibit the greatest pressure drop among the tested configurations. Overall, this study highlights the effectiveness of the proposed system in delivering cooling under demanding environmental conditions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2024.1389622</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2024.1389622</link>
        <title><![CDATA[Evaluation and improvement of power quality of distribution network: a case study of Covenant University, Ota]]></title>
        <pubdate>2025-01-09T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Isaac A. Samuel</author><author>Daudu Afah Toyin</author><author>Tobiloba E. Somefun</author><author>Ayokunle A. Awelewa</author><author>Shehu Abba-Aliyu</author>
        <description><![CDATA[Power quality is a global concern, particularly as electronic devices are increasingly supporting modern economies. This research evaluates and proposes improvements for power quality of the distribution network at Covenant University, Ota, Nigeria, where electrical equipment usage contributes to power quality challenges. Measurements and evaluations were carried out in three stages: first, measuring power quality at five campus powerhouses using a Circutor aR6 power analyzer; second, assessing these measurements with Power Vision software; third, simulating the evaluated network with NEPLAN software. The study was conducted during an active school session, with measurements taken at 500 kVA, 11 kV/415 V/230 V on the outgoing circuits for each transformer. The results were benchmarked against IEEE power quality standards and identified issues such as harmonics, total harmonic distortion (THD), overload, and a lagging power factor. The proposed improvements, derived from NEPLAN simulation, included active harmonic filters to reduce harmonics, a shunt capacitor for power factor correction, and load sharing for managing transformer overloads. Simulation results demonstrated that THD was significantly reduced across all powerhouses: CDS from 7.28% to 0.91%, EIE from 10.52% to 3.54%, CST from 16.03% to 0.58%, the Library from 11.92% to 0.12%, and the Male Hostel from 16.71% to 0.24%. These adjustments enhanced THD within specified limits. Additionally, the shunt capacitor increased the power factor to 0.96 from −0.96. These enhancements are expected to extend equipment life, reduce heat loss, and lower utility costs.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2024.1502854</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2024.1502854</link>
        <title><![CDATA[A novel simulation and supervised machine learning-based prediction framework to predict the total transportation and energy costs for single-family households]]></title>
        <pubdate>2024-11-25T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Vinay Gonela</author><author>Raghavan Srinivasan</author><author>Atif Osmani</author>
        <description><![CDATA[This paper focuses on predicting the total transportation and energy costs (TTEC) for single-family households. A system boundary consisting of grid-powered electricity (GE) and solar-powered electricity (SE) as energy inputs and transportation vehicles that include Gasoline Vehicles (GV) and Electric Vehicles (EV) as transportation methods for energy outputs is studied. A novel three-stage evaluation framework is proposed to predict the TTEC under varying single-family household parameters. In the first stage, an energy balance simulation model is proposed to estimate the TTEC for an individual household. In the second stage, the simulation model is run several times under varying parameters to develop synthetic data that is used as input for the third stage supervised machine learning (SML) models. In the third stage, numerous SML models are trained and tested to determine the best SML model that enables us to predict the TTEC with high accuracy. This best SML model can be used as a substitute for simulation model, thereby reducing the computation burden of running the simulation model for each new single-family household. A case study of single-family households in Central Texas in the US is used as an application of the framework. The results indicate that regression SML models are best in predicting the total costs with an adjusted R-squared of 99.13% and 98.88% on training and testing datasets, respectively. In addition, the parameter analysis of regression SML models suggests that the house size, number of GVs, number of EVs, EV and GV ownership costs, and solar implementation at households are the most important parameters to predict TTEC for single-family households. Counterintuitively, number of residents, GV and EV mileage, solar system size, battery capacity and peak solar hours are not significant parameters that contribute to TTEC prediction.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2024.1292248</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2024.1292248</link>
        <title><![CDATA[Impact of rural digital economy development on agricultural eco-efficiency: evidence from mainland China]]></title>
        <pubdate>2024-04-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Cheng Che</author><author>Qi Yin</author><author>Qing Li</author><author>Suhui Li</author><author>Huixian Zheng</author><author>Xin Geng</author><author>Shoupeng Zhang</author>
        <description><![CDATA[The integration of the digital economy with rural development is of great significance as it plays a pivotal role in mitigating carbon emissions and environmental pollution in agriculture, thereby contributing to the evolution of agriculture in a green and sustainable manner. This study aims to examine the impact and mechanisms of rural digital economy development (RDED) on agricultural eco-efficiency (AEE). Specifically, based on provincial-level panel data from China spanning from 2011 to 2021, we evaluate China’s AEE by employing the super-efficiency slacks-based measure (Super SBM) model, taking into account the positive externality of agricultural carbon sinks. Then we analyze the impact and mechanisms of RDED on AEE using the two-way fixed effects model. The findings indicate that: (1) RDED significantly promotes AEE, and this conclusion remains robust even after being tested by replacing the explained variable, altering the sample interval, and including more control variables; (2) RDED can significantly drive AEE in the midwestern regions of China, but the promotion effect on the eastern region has not been fully demonstrated. Additionally, the promotion effect in southern China is greater than that in northern China; (3) agricultural science and technology investment partially mediates the impact of RDED on AEE. Moreover, agricultural science and technology innovation has a positive moderating effect on the relationship between RDED and AEE. Lastly, this study provides new evidence and policy recommendations for developing countries, such as China, to proactively facilitate the coordinated development of the rural digital economy and agricultural ecology, and attain green and sustainable ecological agriculture.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fenef.2023.1160372</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fenef.2023.1160372</link>
        <title><![CDATA[Development and demonstration of concentric-type HTS power cable for distribution grid in Shenzhen urban]]></title>
        <pubdate>2023-03-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Shouquan Tang</author><author>Minhong Li</author><author>Hong Xie</author><author>Zhenzi Wang</author><author>Peng Yu</author><author>Zhonghang Li</author><author>Zhe Wang</author><author>Tengbiao Chen</author><author>Bangzhu Wang</author>
        <description><![CDATA[High-temperature superconducting (HTS) cable can transmit massive power with little dissipation in a limited corridor, which is an attractive solution for future power transmission. Shenzhen Power Supply energized a 400 m/10 kV/2.5 kA concentric HTS cable system on 28 September 2021 to power Ping’an Financial Centre, a Shenzhen’s landmark building, which was the debut of concentric HTS cable made of YBCO in the urban area of a megacity. For more than 1 year, the HTS cable system has been operating well and will continue to operate for a long time. This paper systematically reviews the system specification, cable and its accessories design, cryogenic cooling system design, type and exploratory test, project construction, pre-commissioning test, and operation of the demonstration cable system. Based on our R&D practice, we identify that cost, long-term reliability, and operational simplicity are the main hinders factors that need to be addressed to advance the large-scale application and we propose a set of solution ideas meanwhile.]]></description>
      </item>
      </channel>
    </rss>