Article
Green & Sustainable Science & Technology
Yunna Wu, Feiyang He, Jianli Zhou, Chenghao Wu, Fangtong Liu, Yao Tao, Chuanbo Xu
Summary: This study introduces a two-stage location decision-making framework for the site selection of DWPCHS projects, involving the establishment of restriction criteria and evaluation criteria systems, using multi-criteria decision-making methods and fuzzy mathematics for assessment and ranking.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Wenqiang Li, Guangcai Gong, Hongyuan Jia, Zhongjun Ren, Adrian Chong
Summary: Flexible options are important in climate change mitigation strategies due to the high uncertainty. However, real options analysis is seldom used in building-scale investment decisions. This study proposes a decision-making framework based on real options analysis to address this research gap. The results show that climate change uncertainty does not significantly affect the optimal investment strategies, but increasing the discount rate advances the optimal investment time. The proposed framework provides guidance for mitigation strategies and offers more flexibility for investors.
JOURNAL OF CLEANER PRODUCTION
(2023)
Review
Green & Sustainable Science & Technology
Qian Liu, Yan Sun, Mengcheng Wu
Summary: This paper conducts a systematic literature review of methodologies commonly used in offshore wind power investment decision-making. The classification and analysis of these methods from recent years aim to provide broad, systematic approaches and tools, while also emphasizing recommendations for method selection in different situations.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Ashleigh Henry, Daniel McStay, David Rooney, Peter Robertson, Aoife Foley
Summary: The intermittent nature of renewable energy sources requires energy storage to meet grid demand and balancing requirements. Green hydrogen is a chemical energy carrier that can store large amounts of energy for long periods and be used flexibly. This study examines the production of hydrogen from wind using desalination and electrolysis units, comparing proton exchange membrane and alkaline electrolyser units. The analysis considers the intermittency of wind and compares it with grid-bought electricity. A model is developed to determine the selling price required for profitability over 10 years. Two scenarios are considered: using energy from the grid for hydrogen production and owning a wind turbine with capital expenditure. The study finds that the price of hydrogen production from wind is comparable to natural gas-derived hydrogen at a larger scale, with cheaper production from the alkaline electrolyser.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Longxi Li, Xilin Cao
Summary: This paper investigates the influence of ESS incentive mechanisms on PV-ESS investment, using a compound real options model to consider flexibilities and uncertainties. It finds that electricity price subsidy is most favorable for investment, and the combination of three ESS incentive policies yields better results than any single policy, leading to increased project value and social welfare.
Article
Thermodynamics
Bo Sun, Boyang Fan, Yifan Zhang, Jingdong Xie
Summary: Energy storage technology investment in China is hindered by policy and other uncertainties. This study proposes an investment decision model and solves the investment threshold and opportunity value using differential equations. The findings suggest that policy adjustment frequency and subsidy reduction intensity impact energy storage technology investment, with the latter having a greater influence. Technological innovation can mitigate the adverse effects of policy uncertainty. A minimum subsidy of 0.0246 USD/kWh is required for effective investment under relatively certain policies, while a subsidy of 0.0311 USD/kWh is necessary when uncertainties exist.
Article
Green & Sustainable Science & Technology
Haoxin Dong, Yunna Wu, Jianli Zhou, Wenjun Chen
Summary: This study establishes a comprehensive risk analysis framework considering multi-stakeholder participation to select the optimal site for wind power coupled hydrogen energy storage. The results show that Guyuan county is the best choice and the overall results are more sensitive to the government and investors.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Wang Bangjun, Zhaolei Feng, Ji Feng, Pan Yu, Linyu Cui
Summary: Replacing the FIT policy with the RPS policy has become a global trend in the reform of renewable energy policy systems. This study establishes a real option model for photovoltaic power generation projects and examines the sequential decision making regarding optimal investment opportunities, installed capacity, and phased investment. The findings indicate that phased investment offers greater flexibility, longer lifespan, higher project values, and reduced risks for investors. Lower technical costs and higher TGC prices are beneficial for acquiring optimal investment opportunities. This study contributes to better decision making in photovoltaic power generation projects and highlights the influence of the RPS policy.
Article
Economics
Kebin Deng, Jiaxin Peng, Juan Peng, Yuhua Zhang
Summary: This study incorporates the belief of overextrapolation into the classic real options model and provides semi-closed-form solutions for optimal investment and valuation of real options. The theoretical results demonstrate that overextrapolation significantly affects investment and pricing, with the agent underinvesting and undervaluing the option with low belief and overinvesting and overvaluing the option with high belief. Additionally, the model predicts that welfare loss due to distorted investment caused by overextrapolation is insignificant.
ECONOMIC MODELLING
(2022)
Article
Engineering, Electrical & Electronic
Fanrong Wei, Quan Sui, Xuesong Li, Xiangning Lin, Zhengtian Li
Summary: This paper proposes a new dispatching strategy for power grid integrating wind-hydrogen systems, which can reduce operational costs by 4.4% and improve efficiency.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Editorial Material
Chemistry, Physical
Alberto Boretti
Summary: NEOM City plans to be a renewable-energy-only city, but the issue of long-term, large-scale energy storage has not been addressed. Battery energy storage can only handle small amounts of energy, and other solutions are still in the idea stage. The most attractive solution is to use extra wind and solar energy to produce hydrogen, which can be used to stabilize the grid and export excess energy.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Qian Liu, Yan Sun, Linyao Liu, Mengcheng Wu
Summary: This study proposes an investment decision framework based on a bidimensional binominal lattice to help corporate investors determine the appropriate development timing and investment potential for offshore wind power projects. By comparing the policy effects of different subsidy schemes and using scenario analysis, the study effectively simulates the impact of dynamic adjustments in subsidies on investment decisions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Forestry
Rafaele Almeida Munis, Diego Aparecido Camargo, Richardson Barbosa Gomes da Silva, Miriam Harumi Tsunemi, Siti Nur Iqmal Ibrahim, Danilo Simoes
Summary: This study analyzed investment projects in planted forests using empirical data and verified the feasibility of Eucalyptus wood price modeling by introducing fractional Brownian motion and geometric Brownian motion models. The findings showed that Eucalyptus planted forests with three rotation cycles are economically viable.
Article
Green & Sustainable Science & Technology
Weiwei Zhang, Chunyan Dai, Xuemei Luo, Xunmin Ou
Summary: CCUS technology is crucial for coal power plants in China to maintain existing production structure and achieve near-zero carbon emissions under the dominance of coal in the current energy structure. Government incentives play a significant role in promoting investment in CCUS technology, with a subsidy ratio exceeding 0.33 encouraging immediate investment in coal-fired plants.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2021)
Article
Engineering, Electrical & Electronic
Xiaohe Yan, Chenghong Gu, Hongcai Zhang, Nian Liu, Furong Li, Yonghua Song
Summary: Existing capacity-based network pricing calculates network costs using discounted cash flows, but fails to account for uncertainties and flexibilities of network users. This paper proposes Incremental Cost Network Pricing based on Real Options (ICOC) as a new pricing method that incorporates real options theory to reflect network user uncertainties on network investment. The ICOC scheme allows network operators to delay investment and pay waiting costs based on options' value, thereby avoiding irreversible investment due to uncertainties. The cost is allocated to network users based on their nodal incremental costs. The proposed method is demonstrated on a practical network with different user types (uncertain, flexible, certain and nonflexible), and shows the ability to set cost-reflective price signals based on network user behavior.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.