Article
Energy & Fuels
Jehanzeb Nasir, Adeel Javed, Majid Ali, Kafait Ullah, Syed Ali Abbas Kazmi
Summary: This study investigates the true potential of pumped storage hydropower and its optimal operation with conventional hydropower. The findings suggest that siting pumped storage hydropower near existing conventional hydropower reservoirs can enhance annual energy generation, reduce project costs and carbon emissions.
Article
Green & Sustainable Science & Technology
Jian-Xin Guo, Kaiwei Zhu
Summary: The research reveals that distributing straw rationally under different soil function protection scenarios can improve efficiency; prioritizing soil function protection will reduce the total amount of straw available for bioenergy production, and decrease carbon dioxide emissions.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Energy & Fuels
Lucas Ford, Anderson de Queiroz, Joseph DeCarolis, A. Sankarasubramanian
Summary: This study develops a modeling framework called COREGS, which optimizes the allocation of water resources and reduces power generation costs through the co-optimization of reservoir and electricity generation systems. The findings suggest that co-optimization leads to more efficient water allocation decisions and better meets the needs of the power system compared to separate optimization.
Article
Green & Sustainable Science & Technology
Aisha Sa'ad, Aime C. Nyoungue, Zied Hajej
Summary: This study developed an optimal preventive maintenance strategy for a PV plant using iterative numerical techniques, considering or not considering the influence of environmental factors. The goal was to improve system reliability by maximizing availability through determining the best combination and selecting appropriate maintenance intervals and replacement components.
Article
Computer Science, Artificial Intelligence
Kai Lun Chong, Sai Hin Lai, Ali Najah Ahmed, Wan Zurina Wan Jaafar, Ahmed El-Shafie
Summary: The study investigates the parameter-free Jaya algorithm as an optimization method for reservoir operation, introducing a hedging strategy to mitigate the impact of reduced water supply. It shows the efficiency of the proposed algorithm in the reservoir system, with higher hydropower generation compared to other algorithms.
APPLIED SOFT COMPUTING
(2021)
Article
Energy & Fuels
Rui Jia, Mengjiao He, Xinyu Zhang, Ziwen Zhao, Shuo Han, Jakub Jurasz, Diyi Chen, Beibei Xu
Summary: This study proposes a vibration avoidance strategy based on unit commitment to solve the vibration issues in hydro-wind-photovoltaic complementary generation systems. Multi-objective optimization is used to minimize water consumption, the frequency of crossing vibration zones, and the number of units involved in regulation. The results show that photovoltaic power is more effective than wind power in avoiding vibration zones.
Article
Green & Sustainable Science & Technology
Mahdi Sedighkia, Asghar Abdoli
Summary: This study proposes a framework to mitigate the impacts of hydropower generation on fish biodiversity in large reservoirs, considering water quality and hydraulic factors. Data-driven models were used to simulate effective parameters, and a multivariate linear regression model was used to estimate the fish biodiversity index. The simulators were applied to optimize hydropower plant operation under different hydrological conditions, aiming to minimize fish biodiversity loss and loss of hydropower generation. The results showed that the simulators reliably modeled physical flow, water quality parameters, and fish biodiversity index, and the optimization model effectively reduced impacts on fish biodiversity. However, high computational complexities may limit the model's applicability.
Article
Energy & Fuels
Klemen Nagode, Igor Skrjanc, Bostjan Murovec
Summary: The challenges of performing contingent island operation of hydropower plants are addressed in this study by proposing an enhanced frequency control method using advanced control algorithms. The research is based on a real power plant and considers the entire power system, load, and transmission lines. Integrated transfer functions between the guide vane opening of a hydro turbine and the frequency of the associated generator were determined through on-site identification. Three different controllers, including a model predictive controller, a fractional order PID controller, and a PID controller utilizing integral absolute error and integral time absolute error criteria, were designed and tested. The performance of the proposed algorithms with the identified plant model was evaluated using the NI-cRIO 9049 FPGA platform. The results showed improved frequency control accuracy and disturbance rejection capability with the proposed controllers, contributing to the stability and operational reliability of hydropower plants in contingent islanding mode.
Article
Engineering, Electrical & Electronic
Mihaly Dolanyi, Kenneth Bruninx, Jean-Francois Toubeau, Erik Delarue
Summary: This paper presents a time-series scenario-driven stochastic optimization model for the centralized optimal bidding and scheduling problem of an energy community, using real-life measurement data. The research extends existing models by implementing a worst-case conditional value at risk (WCVaR) constraint for storage system state-of-charge bounds. A numerical comparison shows that the proposed WCVaR based constraint provides better protection against extreme out-of-sample outcomes compared to the conditional value at risk based equivalent. Real-life measurement data is directly leveraged for uncertainty in the imbalance market and load forecast errors, using a shape-based clustering method to capture the temporal characteristics of input scenarios.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Environmental Sciences
Hannu Huuki, Santtu Karhinen, Faisal Bin Ashraf, Ali Torabi Haghighi, Hannu Marttila
Summary: This article examines the impact of environmental constraints on hydropower value, including maximum flow, minimum flow, and flow ramping constraints. The findings suggest that the economic costs of these constraints decrease with lower price volatility. If the electricity market experiences reduced price fluctuations, the optimal flow constraint should be tightened.
RIVER RESEARCH AND APPLICATIONS
(2022)
Article
Thermodynamics
Xuefeng Liu, Bin Huang, Yulan Zheng
Summary: This paper proposes a chiller dynamic optimization method based on Markov chain model predictive control algorithm, which studies the optimization of parallel operation characteristics of multiple chillers, corrects the occurrence of small probability events and avoids frequent chiller starts and stops. It reveals the prediction law of hourly load distribution of the future air conditioning system and explores the balance point between the prediction time of building load and the calculation time of chiller control strategy.
Article
Automation & Control Systems
Zhongying Chen, Jun Wang, Qing-Long Han
Summary: This article proposes a mixed-integer optimization problem for chiller plant operation planning with heterogeneous devices, aiming to minimize power consumption by considering various constraints, including energy conservation. Experimental results demonstrate that the proposed approach outperforms four mainstream methods in terms of power consumption wattage.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Environmental Sciences
Rahim Zahedi, Abolfazl Ahmadi, Siavash Gitifar
Summary: This study focused on utilizing microalgae extraction to reduce water salinity and produce biodiesel as an environmentally friendly method. Results showed effective separation and reduction of salt content by microalgae, suggesting the use of microalgae to mitigate negative environmental impacts and enhance energy production capacity of hydropower plants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Yikui Liu, Xianbang Chen, Neng Fan, Zhechong Zhao, Lei Wu
Summary: A stochastic optimization-based day-ahead operation model of cascaded hydropower systems (CHSs) is developed to effectively utilize available water resources and maximize the profit of hydropower. It is demonstrated that the proposed approach can deliver more efficient water usage and higher economic benefits compared to the current practice.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Douglas A. G. Vieira, Emerson E. Costa, Pedro H. F. Campos, Matheus O. Mendonca, Gustavo R. L. Silva
Summary: This paper proposes a novel computationally efficient nonlinear method for solving the unit commitment problem in a single hydropower plant. Experimental results demonstrate that the proposed approach can generate considerably higher energy for the same water discharge and achieve a speed-up of 1000 times compared to a traditional method. The method has been successfully applied to the operational planning of multiple hydropower plants.
Article
Energy & Fuels
Manuel Chazarra, Juan I. Perez-Diaz, Javier Garcia-Gonzalez, Roland Praus
Article
Engineering, Civil
Alejandro Ortega, Jose Manuel Vassallo, Juan I. Perez-Diaz
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2018)
Article
Green & Sustainable Science & Technology
Isabel Villalba, Marcos Blanco, Juan I. Perez-Diaz, Daniel Fernandez, Felipe Diaz, Marcos Lafoz
IET RENEWABLE POWER GENERATION
(2019)
Article
Engineering, Civil
Jose Roberto Ribas, Juan Ignacio Perez Diaz
WATER RESOURCES MANAGEMENT
(2019)
Article
Green & Sustainable Science & Technology
Guillermo Martinez-Lucas, Juan I. Perez-Diaz, Manuel Chazarra, Jose I. Sarasua, Giovanna Cavazzini, Giorgio Pavesi, Guido Ardizzon
Article
Green & Sustainable Science & Technology
Daniel Fernandez-Munoz, Juan I. Perez-Diaz, Manuel Chazarra
IET RENEWABLE POWER GENERATION
(2019)
Article
Engineering, Electrical & Electronic
Manuel Chazarra, Juan I. Perez-Diaz, Javier Garcia-Gonzalez, Arild Helseth
ELECTRIC POWER SYSTEMS RESEARCH
(2019)
Article
Environmental Sciences
Jose Roberto Ribas, Juan Ignacio Perez-Diaz
ENVIRONMENTAL EARTH SCIENCES
(2019)
Review
Green & Sustainable Science & Technology
Ioannis Kougias, George Aggidis, Francois Avellan, Sabri Deniz, Urban Lundin, Alberto Moro, Sebastian Muntean, Daniele Novara, Juan Ignacio Perez-Diaz, Emanuele Quaranta, Philippe Schild, Nicolaos Theodossiou
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
Article
Energy & Fuels
Juan Perez-Diaz, Marcos Lafoz, Frank Burke
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2020)
Article
Engineering, Electrical & Electronic
Ignacio Guisandez, Juan Ignacio Perez-Diaz, Wolfgang Nowak, Jannik Haas
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Proceedings Paper
Energy & Fuels
Manuel Chazarra, Juan I. Perez-Diaz, Rodrigo E. Portillo, Araceli Hernandez-Bayo
2018 15TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM)
(2018)
Proceedings Paper
Energy & Fuels
G. Martinez-Lucas, J. I. Perez-Diaz, J. I. Sarasua, G. Cavazzini, G. Pavesi, G. Ardizzon
HYPERBOLE SYMPOSIUM 2017 (HYDROPOWER PLANTS PERFORMANCE AND FLEXIBLE OPERATION TOWARDS LEAN INTEGRATION OF NEW RENEWABLE ENERGIES)
(2017)
Proceedings Paper
Energy & Fuels
Manuel Chazarra, Juan I. Perez-Diaz, Javier Garcia-Gonzalez
HYPERBOLE SYMPOSIUM 2017 (HYDROPOWER PLANTS PERFORMANCE AND FLEXIBLE OPERATION TOWARDS LEAN INTEGRATION OF NEW RENEWABLE ENERGIES)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Manuel Chazarra, Juan I. Perez-Diaz, Javier Garcia-Gonzalez, Arild Helseth
2017 IEEE MANCHESTER POWERTECH
(2017)
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.