4.8 Article

Power-to-gas in electricity markets dominated by renewables

Journal

APPLIED ENERGY
Volume 232, Issue -, Pages 258-272

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2018.09.217

Keywords

Power-to-gas; Electricity markets; Hydrogen; Willingness to pay

Ask authors/readers for more resources

This paper analyses the feasibility of power-to-gas in electricity markets dominated by renewables. The business case of a power-to-gas plant that is producing hydrogen is evaluated by determining the willingness to pay for electricity and by comparing this to the level and volatility of electricity prices in a number of European day ahead markets. The short-term willingness to pay for electricity depends on the marginal costs and revenues of the plant while the long-term willingness to pay for electricity also takes into account investment and yearly fixed operational costs and therefore depends on the expected number of operating hours. The latter ultimately determines whether or not large-scale investments in the power-to-gas technology will take place. We find that power-to-gas plants are not profitable under current market conditions: even under the most optimistic assumptions for the cost and revenue parameters, power-to-gas plants need to run for many hours during the year at very low prices (Le. the long-term willingness to pay for electricity is very low) that do not currently exist in Europe. In an optimistic future scenario regarding investment costs, efficiency and revenues of power-to-gas, however, the long-term willingness to pay for electricity is higher than the lowest recently observed day-ahead electricity prices. When prices remain at this low level, investments in power-to-gas can thus become profitable.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Ecology

An Efficiency Perspective on Carbon Emissions and Financial Performance

Arjan Trinks, Machiel Mulder, Bert Scholtens

ECOLOGICAL ECONOMICS (2020)

Review Psychology, Multidisciplinary

A Research Agenda to Better Understand the Human Dimensions of Energy Transitions

Linda Steg, Goda Perlaviciute, Benjamin K. Sovacool, Marino Bonaiuto, Andreas Diekmann, Massimo Filippini, Frank Hindriks, Cecilia Jacobbson Bergstad, Ellen Matthies, Simon Matti, Machiel Mulder, Andreas Nilsson, Sabina Pahl, Martha Roggenkamp, Geertje Schuitema, Paul C. Stern, Massimo Tavoni, John Thogersen, Edwin Woerdman

Summary: SSh disciplines are vital in analyzing factors and policies that drive individuals towards adopting sustainable energy behaviors. They shed light on how consumers can be empowered to engage in sustainable energy behaviors, support new technologies, and endorse changes in energy systems.

FRONTIERS IN PSYCHOLOGY (2021)

Article Energy & Fuels

Value of power-to-gas as a flexibility option in integrated electricity and hydrogen markets

Xinyu Li, Machiel Mulder

Summary: This paper analyzes the economic potential of Power-to-Gas (PtG) as a source of flexibility in electricity markets, highlighting its ability to reduce electricity price volatility. However, the impact of PtG on price volatility diminishes in scenarios with high external demand for hydrogen. Despite the positive welfare effects in certain cases, challenges remain due to fixed costs and the costs of replacing a cheaper energy carrier with a more expensive one.

APPLIED ENERGY (2021)

Article Economics

Carbon Intensity and the Cost of Equity Capital

Arjan Trinks, Gbenga Ibikunle, Machiel Mulder, Bert Scholtens

Summary: The transition to lower-carbon production systems creates regulatory and market risks for high-emitting firms. This study finds that carbon intensity has a positive impact on cost of equity capital, primarily due to systematic risk factors. This suggests that reducing carbon emissions can be a valuable risk mitigation strategy.

ENERGY JOURNAL (2022)

Article Economics

Optimal WACC in tariff regulation under uncertainty

Ward Romeijnders, Machiel Mulder

Summary: The compensation for the opportunity costs of capital through the Weighted Average Costs of Capital (WACC) is crucial in the regulation of network tariffs. However, determining the appropriate level for the WACC is problematic due to uncertainty in future conditions of capital markets. By considering uncertainty and trading off consumer surplus and expected disruption costs, it is concluded that in most cases, the optimal WACC for tariff regulation is above the historical mean costs of capital. Only in situations of high uncertainty and quick increase in investment levels, the optimal WACC can be below the historical mean.

JOURNAL OF REGULATORY ECONOMICS (2022)

Article Economics

Design of Renewable Support Schemes and Windfall Profits: A Monte Carlo Analysis for the Netherlands

Daan Hulshof, Machiel Mulder

Summary: This paper investigates the impact of the Dutch feed-in premium scheme for on-shore wind projects during the period of 2003-2018, and finds that differentiating in subsidy levels contributes to reducing windfall profits.

ENERGY JOURNAL (2022)

Article Economics

Challenging natural monopolies: Assessing market power of gas transmission system operators for cross-border capacity

Jann T. Keller, Gerard H. Kuper, Machiel Mulder

Summary: This paper assesses market power for cross-border transport capacity in the German gas market and finds that in most cases, transmission system operators (TSOs) do not have significant market power. Therefore, regulatory constraints on cross-border capacity may be relaxed when market mergers lead to effective inter-TSO competition.

ENERGY POLICY (2022)

Article Chemistry, Physical

International competitiveness of low-carbon hydrogen supply to the Northwest European market

Peter Perey, Machiel Mulder

Summary: This paper analyzes the most competitive sources of low-carbon hydrogen for the Northwest European market, considering local production, conversion, and transport costs. The production costs of electrolysis are strongly influenced by local renewable electricity costs and capacity factors. For distances under 10,000 km, the lowest transport costs are achieved through pipelines, with costs increasing linearly with distance. For longer distances, ammonia transport is more efficient, despite higher conversion costs. The most competitive sources of low-carbon hydrogen for the Northwest European market are Steam Methane Reforming with Carbon Capture and Storage when international gas prices return to historical levels, and import from Morocco with electrolysis directly connected to offshore wind generation when gas prices remain high.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2023)

Article Green & Sustainable Science & Technology

External carbon costs and internal carbon pricing

Arjan Trinks, Machiel Mulder, Bert Scholtens

Summary: The use of internal carbon prices (ICPs) by companies is influenced by external carbon constraints and exposure to formal carbon pricing systems. The size of the gap between actual and intended emissions does not play a role. Stringent climate policies can help mitigate investment misalignment and contribute to a smoother transition of the energy system.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)

Article Energy & Fuels

Economic feasibility of green hydrogen in providing flexibility to medium-voltage distribution grids in the presence of local-heat systems

Sina Ghaemi, Xinyu Li, Machiel Mulder

Summary: This study examines the profitability of producing green hydrogen through electrolyzers in alleviating congestion in medium-voltage distribution grids with high amounts of renewable energy sources. An incentive-based method for improving flexibility in these grids is proposed, and the results show that converting power to hydrogen can be an economically efficient way to reduce congestion when there is a high amount of renewable energy. However, the economic value of electrolyzers as flexibility providers decreases when more options for flexibility provision exist.

APPLIED ENERGY (2023)

Article Economics

Carbon abatement in the European chemical industry: assessing the feasibility of abatement technologies by estimating firm-level marginal abatement costs

Lennard Rekker, Michaela Kesina, Machiel Mulder

Summary: The chemical industry needs to reduce its carbon emissions, and this study examines the economic feasibility of different abatement technologies. The Marginal Abatement Cost (MAC) of CO2 emissions for 24 firms in the European chemical sector from 2015-2020 is estimated using a quadratic directional output distance function (DDF) model. The findings suggest that most firms prefer carbon allowances instead of reducing their own emissions, unless the carbon price significantly increases or financial support is provided for specific abatement technologies such as renewable hydrogen and bio-based ammonia.

ENERGY ECONOMICS (2023)

Article Economics

The impact of renewable energy use on firm profit

Daan Hulshof, Machiel Mulder

ENERGY ECONOMICS (2020)

Article Law

TAXATION AND PRICING OF NATURAL GAS: THE DUTCH TRANSITION TO A GAS MARKET HUB AND LESSONS FOR AUSTRALIA'S INTEGRATED GAS PROJECTS

Diane Kraal, Machiel Mulder, Peter Perey

UNIVERSITY OF NEW SOUTH WALES LAW JOURNAL (2020)

Article Economics

Willingness to Pay for CO2 Emission Reductions in Passenger Car Transport

Daan Hulshof, Machiel Mulder

ENVIRONMENTAL & RESOURCE ECONOMICS (2020)

Article Energy & Fuels

Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Evaluation method for the availability of solar energy resources in road areas before route corridor planning

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Impacts of PTL coating gaps on cell performance for PEM water electrolyzer

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

The establishment of evaluation systems and an index for energy superpower

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A model-based study of the evolution of gravel layer permeability under the synergistic blockage effect of sand particle transport and secondary hydrate formation

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Enhancement of hydrogen production via optimizing micro-structures of electrolyzer on a microfluidic platform

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Capacity fade prediction for vanadium redox flow batteries during long-term operations

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid

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.

APPLIED ENERGY (2024)

Article Energy & Fuels

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

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.

APPLIED ENERGY (2024)