4.8 Article

Long-term implications of sustained wind power growth in the United States: Potential benefits and secondary impacts

Journal

APPLIED ENERGY
Volume 179, Issue -, Pages 146-158

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.06.123

Keywords

Wind energy; Co-benefits; Greenhouse gases; Air pollution; Water use

Funding

  1. DOE's Office of Energy Efficiency and Renewable Energy (Wind and Water Power Technologies Office) [AC02-05CH11231]

Ask authors/readers for more resources

We model scenarios of the U.S. electric sector in which wind generation reaches 10% of end-use electricity demand in 2020, 20% in 2030, and 35% in 2050. As shown in a companion paper, achieving these penetration levels would have significant implications for the wind industry and the broader electric sector. Compared to a baseline that assumes no new wind deployment, under the primary scenario modeled, achieving these penetrations imposes an incremental cost to electricity consumers of less than 1% through 2030. These cost implications, however, should be balanced against the variety of environmental and social implications of such a scenario. Relative to a baseline that assumes no new wind deployment, our analysis shows that the high-penetration wind scenario yields potential greenhouse-gas benefits of $85-$1,230 billion in present-value terms, with a central estimate of $400 billion. Air-pollution-related health benefits are estimated at $52-$272 billion, while annual electric-sector water withdrawals and consumption are lower by 15% and 23% in 2050, respectively. We also find that a high-wind-energy future would have implications for the diversity and risk of energy supply, local economic development, and land use and related local impacts on communities and ecosystems; however, these additional impacts may not greatly affect aggregate social welfare owing to their nature, in part, as resource transfers. (C) 2016 Elsevier Ltd. All rights reserved.

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 Multidisciplinary Sciences

Closing the methane gap in US oil and natural gas production emissions inventories

Jeffrey S. Rutherford, Evan D. Sherwin, Arvind P. Ravikumar, Garvin A. Heath, Jacob Englander, Daniel Cooley, David Lyon, Mark Omara, Quinn Langfitt, Adam R. Brandt

Summary: Recent studies have shown that methane emissions from oil and gas production in the United States are typically 1.5-2 times higher than official estimates, with equipment leaks being the main cause of the discrepancy. By developing a new inventory-based model, more accurate estimates of methane emissions can be made to guide mitigation policies effectively.

NATURE COMMUNICATIONS (2021)

Article Energy & Fuels

Role of the social factors in success of solar photovoltaic reuse and recycle programmes

Julien Walzberg, Alberta Carpenter, Garvin A. Heath

Summary: Excluding social factors underestimates the impact of lower recycling prices on PV material circularity, emphasizing the importance of considering social factors in future studies. While used modules can only satisfy one-third of the US demand during 2020-2050, changing customer attitudes about used PV can boost module reuse.

NATURE ENERGY (2021)

Article Energy & Fuels

Project developer options to enhance the value of solar electricity as solar and storage penetrations increase

James Hyungkwan Kim, Andrew D. Mills, Ryan Wiser, Mark Bolinger, Will Gorman, Cristina Crespo Montanes, Eric O'Shaughnessy

Summary: This study analyzes the impact of various strategies on the net value of grid-connected PV electricity in the United States, finding that maximizing generation (such as solar tracking plus oversized PV arrays) in conjunction with storage can yield the largest net value gains at high penetrations.

APPLIED ENERGY (2021)

Article Energy & Fuels

What can surface wind observations tell us about interannual variation in wind energy output?

Dev Millstein, Mark Bolinger, Ryan Wiser

Summary: The past decade of wind power growth was supported by improved capacity factor and reduced costs. However, recent research suggests that the influence of technology may have been overstated by ignoring positive surface wind speed trends. Improved site quality and technological factors, rather than higher wind speeds, have driven the improvement in capacity factors.

WIND ENERGY (2022)

Article Energy & Fuels

Land Requirements for Utility-Scale PV: An Empirical Update on Power and Energy Density

Mark Bolinger, Greta Bolinger

Summary: This study provides updated estimates of power and energy densities for utility-scale photovoltaic (PV) plants, and finds that the power and energy densities have increased over time for both fixed-tilt and tracking plants. The previous benchmarks published nearly a decade ago significantly overstate the land requirements of utility-scale PV.

IEEE JOURNAL OF PHOTOVOLTAICS (2022)

Article Green & Sustainable Science & Technology

Biorefinery upgrading of herbaceous biomass to renewable hydrocarbon fuels, Part 2: Air pollutant emissions and permitting implications

Arpit H. Bhatt, Yimin Zhang, Ryan Davis, Garvin Heath, Vikram Ravi

Summary: The development of advanced biofuel production facilities is still in its early stages and may face challenges in obtaining air permits due to being novel emission sources. In this study, we analyze the emissions of an advanced biorefinery that produces renewable diesel blendstock from lignocellulosic biomass and provide insights for developers and regulators to mitigate investment risks and develop permitting strategies.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Green & Sustainable Science & Technology

Biorefinery upgrading of herbaceous biomass to renewable hydrocarbon fuels, Part 1: Process modeling and mass balance analysis

Ryan Davis, Arpit H. Bhatt, Yimin Zhang, Eric C. D. Tan, Vikram Ravi, Garvin Heath

Summary: This article introduces an established design case that simulates the conversion of herbaceous lignocellulosic biomass into renewable diesel blend-stock. The study provides key mass and energy balance results and highlights the significance of this research in supporting cleaner production, evaluating air emissions and life-cycle greenhouse gas emissions, and identifying optimization opportunities.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Environmental Sciences

Characterization factors and other air quality impact metrics: Case study for PM2.5-emitting area sources from biofuel feedstock supply

Maninder P. S. Thind, Garvin Heath, Yimin Zhang, Arpit Bhatt

Summary: This paper introduces a framework and metrics for estimating the impact of emission sources on regulatory compliance and human health. The framework includes a pollutant's characterization factor and three new metrics, which can be applied to various pollutants, energy source sectors, source types, and spatial modeling domains. A case study of fine particulate emissions is presented to demonstrate the applicability of the framework.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Energy & Fuels

Technoeconomic analysis of high-value, crystalline silicon photovoltaic module recycling processes

Hao Cui, Garvin Heath, Timothy Remo, Dwarakanath Ravikumar, Timothy Silverman, Michael Deceglie, Michael Kempe, Jill Engel-Cox

Summary: Recycling is an important strategy in the circular economy, particularly for photovoltaics. However, there is a lack of cost estimates and process information for recycling c-Si PV modules. This study provides detailed cost estimates for two proposed recycling processes and discusses approaches to reduce costs and increase recycling rates.

SOLAR ENERGY MATERIALS AND SOLAR CELLS (2022)

Article Multidisciplinary Sciences

Levelized cost-based learning analysis of utility-scale wind and solar in the United States

Mark Bolinger, Ryan Wiser, Eric O'Shaughnessy

Summary: Learning curves play a significant role in power sector planning. By improving upon existing learning curves, we determine the overall learning rates for wind and solar energy and conclude that learning based on the levelized cost of energy provides a more comprehensive view. Future reductions in the cost of energy may be underestimated.

ISCIENCE (2022)

Review Engineering, Environmental

A critical review of the circular economy for lithium-ion batteries and photovoltaic modules - status, challenges, and opportunities

Garvin A. Heath, Dwarakanath Ravikumar, Brianna Hansen, Elaine Kupets

Summary: This article reviews the research on the circular economy of solar PV and lithium-ion batteries (LIBs) and finds that neither industry has achieved a circular economy but they are moving towards increased circularity. Future research should explore other circular economy strategies, consider economic, environmental, and policy aspects more comprehensively, leverage digital information systems to accelerate the circular economy, and continue studying the circular economy aspects of LIB and PV markets.

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2022)

Article Engineering, Environmental

Emission factors of industrial boilers burning biomass-derived fuels

Arpit Bhatt, Vikram Ravi, Yimin Zhang, Garvin Heath, Ryan Davis, Eric C. D. Tan

Summary: Boilers are crucial for industrial facilities as they provide process heat, with most of them historically burning fossil fuels. However, there is now a growing interest in using renewable fuels to reduce carbon emissions. These boilers are significant sources of air pollutant emissions, making it essential to characterize these emissions for air permits and ensuring air quality protection.

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2023)

Article Green & Sustainable Science & Technology

Mind the gap: Comparing the net value of geothermal, wind, solar, and solar plus storage in the Western United States

Mark Bolinger, Dev Millstein, Will Gorman, Patrick Dobson, Seongeun Jeong

Summary: Studies indicate that a diverse mix of zero-carbon resources, including geothermal energy, will be crucial for decarbonizing the U.S. electricity sector. However, geothermal deployment has been slow compared to wind, solar, and storage due to its historically lower net value. Although the market value of geothermal may improve in the future, it is unlikely to overcome the cost gap with other, lower-cost resources, which calls for policy intervention and continued research and development investments to sustain the geothermal industry.

RENEWABLE ENERGY (2023)

Article Energy & Fuels

The hidden value of large-rotor, tall-tower wind turbines in the United States

Ryan Wiser, Dev Millstein, Mark Bolinger, Seongeun Jeong, Andrew Mills

Summary: The significant increase in wind turbine size has been driven by a goal of reducing energy costs, but as wind energy becomes more cost competitive, the importance of taller towers and larger rotors has grown. Research shows that taller towers and larger rotors can enhance the value of wind energy in the electricity system, providing potential benefits and cost savings.

WIND ENGINEERING (2021)

Article Energy & Fuels

Opportunities for and challenges to further reductions in the specific power rating of wind turbines installed in the United States

Mark Bolinger, Eric Lantz, Ryan Wiser, Ben Hoen, Joseph Rand, Robert Hammond

Summary: As the size of wind turbine rotor increases, its specific power decreases. In land-rich but capacity-constrained wind power markets like the United States, developers prefer turbines with lower specific power to maximize energy output. Geospatial analysis suggests that there is likely to be continued demand for low-specific-power turbines in the future, especially as wind penetration grows.

WIND ENGINEERING (2021)

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)