Article
Energy & Fuels
Ahmet Mandev, Patrick Plotz, Frances Sprei, Gil Tal
Summary: This study investigated the charging behavior of plug-in hybrid electric vehicles (PHEV) and found that most users do not charge their vehicles overnight and engage in additional charging on 20-26% of driving days. The study also indicated that the utility factor should not be the sole measure of PHEV environmental performance.
Article
Energy & Fuels
Ahmet Mandev, Patrick Ploetz, Frances Sprei, Gil Tal
Summary: The study investigated the daily charging behavior of over 10,000 Chevrolet Volt PHEVs and found that a percentage of users do not charge overnight, while additional charging occurs on 20-26% of driving days. It also concluded that the utility factor should not be the sole measure of environmental performance for PHEVs.
Article
Engineering, Civil
Morteza Dabbaghjamanesh, Abdollah Kavousi-Fard, Jie Zhang
Summary: This study investigates the impact of different charging modes of plug-in hybrid electric vehicles on the optimal operation of microgrids, proposing a solution with smart PHEVs and utilizing reconfiguration techniques and optimization algorithms to handle nonlinearity and uncertainties in the problem.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Economics
M. Amine Masmoudi, Leandro C. Coelho, Emrah Demir
Summary: This paper investigates the problem of designing refuse vehicle routes for commercial waste collection and proposes a Hybrid Threshold Acceptance algorithm to solve the problem. Extensive computational experiments confirm the good performance of the proposed algorithm and demonstrate the benefits of using hybrid electric refuse vehicles in terms of operational costs and total distance traveled.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Energy & Fuels
Hao Zhang, Qinhao Fan, Shang Liu, Shengbo Eben Li, Jin Huang, Zhi Wang
Summary: This study aims to investigate the optimal control strategy for dedicated hybrid engine-driven plug-in hybrid electric vehicles under real driving conditions. The hierarchical energy management strategy proposed in the study shows superior performance in terms of fuel economy and NOx emissions.
Article
Chemistry, Physical
Yan Zhang, Xiayi Yuan, Lian Duan, Yanghui Xu, Fengchong Lan
Summary: The environmental temperature plays a significant role in the energy transmission of plug-in hybrid electric vehicles, while SOC is the major factor affecting generator loss.
JOURNAL OF POWER SOURCES
(2021)
Article
Thermodynamics
Piyush Girade, Harsh Shah, Karan Kaushik, Akil Patheria, Bin Xu
Summary: This paper introduces two new energy management strategies, with the Adaptive-ECMS being suitable for urban driving conditions and the Cost Optimization for Finite Horizon strategy being suitable for highway driving conditions. The new strategies show an average fuel economy improvement of 5% compared to the baseline strategy.
Article
Energy & Fuels
Xie Zeng, Muhammad Shahzad Nazir, Mehrdad Khaksar, Kentaro Nishihara, Hai Tao
Summary: With the increasing global energy demand and environmental concerns, renewable energy sources are being utilized as alternatives to fossil fuels. The transportation sector is shifting towards electrified vehicles, such as PEVs and PHEVs, which can connect to the grid for energy exchange. The concept of microgrids is introduced to integrate RESs and optimize the capabilities of electric vehicles through smart infrastructure.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou
Summary: The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is contributing to decarbonization, and its energy management requires multiple-input and multiple-output (MIMO) control. This paper proposes a multi-agent deep reinforcement learning (MADRL) method for energy management of multi-mode PHEVs. By introducing a relevance ratio and a hand-shaking strategy, two learning agents work collaboratively using the deep deterministic policy gradient (DDPG) algorithm. The proposed MADRL system saves up to 4% energy compared to the single-agent learning system and up to 23.54% energy compared to the conventional rule-based system.
Article
Chemistry, Physical
Jie Li, Yonggang Liu, Yuanjian Zhang, Zhenzhen Lei, Zheng Chen, Guang Li
Summary: This paper proposes a data-driven eco-driving control strategy for plug-in hybrid electric vehicles, which can improve fuel economy and computational efficiency through neural network models.
JOURNAL OF POWER SOURCES
(2021)
Article
Thermodynamics
Changyin Wei, Xiuxiu Sun, Yong Chen, Libin Zang, Shujie Bai
Summary: This paper compares the architecture and adaptive energy management strategy (EMS) for plug-in hybrid electric logistics vehicles (PHELV) with different hybrid powertrain systems using dynamic programming (DP) algorithm. An approach of adaptive EMS based on driving pattern recognition (DPR) is proposed, optimizing parameters for fuel consumption cost, fuzzy logic controller (FLC), and equivalent consumption minimization strategy (ECMS). Comparative results show improvements in fuel economy for series PHELV compared to parallel and series-parallel PHELV, with differences between optimal energy management strategies and global optimization.
Article
Chemistry, Analytical
Ming Ye, Jing Chen, Xu Li, Kai Ma, Yonggang Liu
Summary: A new energy management control strategy based on V2X communication was proposed to dynamically adjust engine and motor power output for vehicle speed prediction. The study utilized deep learning algorithm to model vehicle speed prediction and validated the proposed strategy with a plug-in hybrid vehicle model simulation, showing improvements in vehicle energy economy and reduced CO2 emissions.
Article
Thermodynamics
Xilei Sun, Jianqin Fu, Huiyong Yang, Mingke Xie, Jingping Liu
Summary: To effectively manage the energy of plug-in hybrid electric vehicles (PHEVs), an energy management strategy (EMS) based on deep learning and improved model predictive control was proposed. Various prediction models were compared and analyzed, and a long short-term memory based improved model predictive control algorithm (LSTM-IMPC) was developed. The results show that the LSTM-IMPC-based EMS has a significant fuel-saving performance and robustness, with fuel-saving rates close to the global optimal solution.
Article
Thermodynamics
Ziwang Lu, He Tian, Yiwen Sun, Runfeng Li, Guangyu Tian
Summary: This study proposes an energy management strategy using optimal input features, which can be implemented online and save energy for PHEVs effectively. The strategy overcomes the challenges of input feature selection and application to untrained driving cycles, and shows good performance in energy saving and computational efficiency.
Article
Green & Sustainable Science & Technology
Ning Wei, Zhenyu Jia, Xiaoyang Zhao, Lin Wu, Yanjie Zhang, Jianfei Peng, Ting Wang, Zhiwen Yang, Qijun Zhang, Hongjun Mao
Summary: Green Light Optimized Speed Advisory (GLOSA) is a cutting-edge technology for intelligent transportation and is being increasingly applied on the ground worldwide. However, evaluating the environmental benefits of vehicles using GLOSA has become a challenge owing to the complexity and unpredictability of real-traffic. Here, a standardized environmental benefit evaluation framework for GLOSA is first proposed, which combined standard driving cycle (DC) database and high-precision emission models.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Economics
Marie-Louise Arlt, David Chassin, Claudio Rivetta, James Sweeney
Summary: This paper examines the impact of real-time pricing and load automation on residential distribution systems. The study finds that implementing real-time pricing can result in an aggregate welfare gain of 39 USD per customer and year. However, it also notes that RTP and load automation may significantly increase peak system load. Introducing a market-based demand management system can further enhance welfare gains and reduce grid investment.
Article
Economics
Javier Jorquera-Copier, Alvaro Lorca, Enzo Sauma, Stefan Lorenczik, Matias Negrete-Pincetic
Summary: As countries update their climate ambitions, low-carbon hydrogen production and use present opportunities for emissions reductions and economic development. A case study for Chile shows that integrating hydrogen and electricity networks can lower system costs and enhance renewable integration, but policy support is needed to address concerns related to water and land use.
Article
Economics
Dawit Guta, Hisham Zerriffi, Jill Baumgartner, Abhishek Jain, Sunil Mani, Darby Jack, Ellison Carter, Guofeng Shen, Jennifer Orgill-Meyer, Joshua Rosenthal, Katherine Dickinson, Rob Bailis, Yuta Masuda
Summary: Household solid fuel use is detrimental to health and the environment. The Indian government's PMUY subsidy has successfully promoted the adoption of LPG by millions of households. However, there is limited understanding of the decision-making process to reduce solid fuel use after transitioning to cleaner fuels. This study found that factors such as household wealth, social status, education level, and the prevalence of LPG use in the village are positively associated with LPG consumption and the discontinuation of solid fuel use. On the other hand, factors such as distance to LPG refill delivery, household size, and the PMUY subsidy are negatively associated with the share of LPG use.
Article
Economics
Nicolas Morell-Dameto, Jose Pablo Chaves-Avila, Tomas Gomez San Roman, Pablo Duenas-Martinez, Tim Schittekatte
Summary: This paper assesses the performance of differently implemented forward-looking network tariff designs and proposes an innovative coordination mechanism to increase predictability in a future with many flexible customers. The study reveals that if large shares of customers synchronize their responses to highly time-varying and locational-specific network charges, it can lead to unexpected reinforcements.
Article
Economics
Alexandra Gritz, Guntram Wolff
Summary: Russia's weaponization of gas supplies shook the energy security of Central and Eastern Europe in 2022. The region responded by increasing alternative energy supplies and developing new gas supply routes. Renewable energy, nuclear energy, and hydrogen play important roles in the long-term. Mitigating the impact of this shock requires the EU to prioritize the integrity of its energy market.
Article
Economics
Jaroslaw Kantorowicz, Marion Collewet, Matthew DiGiuseppe, Hendrik Vrijburg
Summary: Economic costs are a major political obstacle to investing in climate change mitigation and adaptation measures. The method of financing plays a crucial role in determining public opposition to government green investments, with debt financing being less opposed than broad-based taxes. This study suggests that credit market tools, such as green bonds and debt for climate swaps, can be politically efficient in increasing support for green financing. Carbon taxes and wealth taxes are found to be the most preferred options.
Article
Economics
Kun Guo, Liyuan Luan, Xiaoli Cai, Dayong Zhang, Qiang Ji
Summary: This paper investigates China's energy trade stability using a survival analysis approach. It finds that the energy trade linkages between China and 153 other countries are complex and unstable, with short periods of trade with many countries. Geopolitically risky regions, such as the Middle East and Africa, have the lowest trade stability. Climate risks have significant effects on energy trade stability. The paper proposes several policy options to improve energy trade stability in China, with special attention to increasing global climate risks.
Article
Economics
Simona Bigerna, Piyush Choudhary, Nikunj Kumar Jain, Silvia Micheli, Paolo Polinori
Summary: This study estimates the willingness to pay of Indian urban consumers for a continuous supply of electricity using contingent valuation method. The findings show that the amount consumers are willing to pay depends on the duration of power outages, with households preferring shorter outages. Income and environmental attitude also positively influence higher willingness to pay. These insights can inform policymakers in designing more reliable and customer-centric energy generation and distribution models.
Article
Economics
Temilade Sesan, Unico Uduka, Lucy Baker, Okechukwu Ugwu, Ewah Eleri, Subhes Bhattacharyya
Summary: This study examines the impact of the regulatory framework on rural electrification and universal energy access goals in Nigeria's mini-grid sector. The findings suggest that while the current framework has fostered sector growth, additional measures are necessary to ensure equitable distribution of access among rural populations.
Article
Economics
Rui Shan, Noah Kittner
Summary: Energy storage is a cornerstone in decarbonization planning as it reduces operational costs and greenhouse gas emissions, while enhancing resilience and renewables integration. However, storage developers in different regions have varying economic and environmental considerations, thereby requiring policy intervention to achieve long-term emission reductions.
Article
Economics
Tung Durmaz, Sevil Acar, Simay Kizilkaya
Summary: This study investigates the phenomenon of strategic capacity withholding in the Turkish electricity market and its relationship with the capacity remuneration mechanism. The empirical results provide strong evidence of strategic capacity withholding and show that the capacity mechanism contributes to the duration of failures. The study offers important insights for policymakers, including the implementation of a random verification mechanism and restructuring of the capacity mechanism in Turkey.
Article
Economics
Tii N. Nchofoung
Summary: The study finds that oil price shocks have a negative impact on Africa's energy transition, particularly in rural areas and net crude oil exporting countries. However, oil price shocks cannot explain the urban-rural differences in clean energy access. Therefore, increasing investment in clean energy and technologies in rural areas is necessary to enhance the resilience of the energy sector to oil price shocks.
Article
Economics
Najia Saqib, Muhammad Usman, Ilhan Ozturk, Arshian Sharif
Summary: This study examines the impact of environmental technologies, financial growth, and energy use on ecological footprint and green growth. Environmental innovation and renewable energy deployment contribute to green growth, while financial expansion and non-renewable energy use have negative effects on the environment. The study also identifies causal relationships between different factors.
Article
Economics
Yessica C. Y. Chung, Noxolo Kunene, Hung-Hao Chang
Summary: The Renewable Energy Certificate (REC) is considered an innovative technology for building a green society. This study investigates the impact of REC purchases on stock return and volume in Taiwan between 2017 and 2021. The findings suggest that REC purchases have a positive effect on stock returns of manufacturing firms but not service firms. The frequency of REC purchases is also an important factor in the relationship between REC purchase and firm value. Additionally, the study reveals that public attention to environmental pollution plays a crucial role in positive stock returns and volume, while ESG disclosure is negatively associated with returns and volume.
Article
Economics
Seife Ayele, Wei Shen, Yacob Mulugetta, Tadesse Kuma Worako
Summary: This paper addresses the challenges of governing energy procurement from a mix of non-hydropower renewable energy sources supplied by independent producers. Building on political economy analysis and five case studies of independent producer projects from Ethiopia, it seeks to understand the root causes of the protracted delays and limited extent of procurement by independent producers. The key contestations lie in managing long term contracts, risk, uncertainty and in developing the institutional and human capacity to transition.