Article
Economics
Bowei Guo, Giorgio Castagneto Gissey
Summary: The study found that in the wholesale electricity market in Great Britain, the CPT rates for gas costs and EUA prices are 100%. The CPT rate for coal costs is higher during peak and off-peak periods, as coal plants tend to bid at slightly lower than marginal costs during off-peak periods in order to operate at minimum load, and exercise market power during peak periods.
Article
Green & Sustainable Science & Technology
Da Huang, Christian Doh Dinga, Yuan Tao, Zongguo Wen, Yihan Wang
Summary: This study reduces the complexity of energy conservation and emission reduction optimization in the iron and steel industry by building a constrained multi-objective optimization model and introducing dimensionality reduction technique. It points out that ECER policies should focus on cost, energy, CO2, and PM intensity control as the key objectives, and provides optimization suggestions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Yafei Zu, Deqiang Deng, Lianghua Chen
Summary: This paper studies the optimal strategies for reducing product carbon emissions under different contracts, finding that the consignment contract can achieve a Pareto improvement for the entire supply chain, with varying impacts on the retailer and the manufacturer.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Tianming Gao, Tao Dai, Lei Shen, Li Jiang
Summary: This study examines the feasibility and advantages of using steel slag instead of iron ore in cement production, highlighting the maximum substitution amount and specific resources, as well as the environmental and economic benefits. By optimizing raw meal quality indices and operational processes, it is possible to produce steel slag clinker that meets national standards.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Yu-Jie Hu, He Huang, Honglei Wang, Chengjiang Li, Yiqirui Deng
Summary: This study selects a public building in China and simulates its initial energy consumption and carbon emissions, and establishes a multi-objective optimization model to explore cost-effective and emission-reduction strategies, considering photovoltaic and ground-source-heat-pump systems. The results show that implementing photovoltaic and ground-source-heat-pump systems simultaneously can achieve better economic efficiency and emission reduction effect, and factors such as electricity price, initial investment cost, annual solar peak hours, and the proportion of shallow geothermal energy significantly impact carbon emissions and cost. The use of photovoltaic and shallow geothermal energy is beneficial for long-term emission reduction and cost savings.
ENERGY AND BUILDINGS
(2023)
Article
Economics
Georgios I. Maniatis, Nikolaos T. Milonas
Summary: This study investigates the impact of wind and solar power generation on wholesale electricity prices in the Greek market. The empirical findings suggest the existence of a merit-order effect, with wind power having a stronger effect. Controlling for regulatory mechanisms, it is found that renewable energy reduces price volatility overall, but wind power tends to increase it while solar power tends to decrease it. Furthermore, during peak hours, both wind and solar power generation reduce price volatility, supporting the hypothesis that renewables' output reduces wholesale electricity price volatility when positively correlated with electricity load. Additionally, an increase in the price-cap of the Greek wholesale electricity market is associated with a reduction in price volatility. This finding emphasizes the importance of market structure and participants' vertical integration in determining behavior and market price volatility.
Article
Economics
Diana Boettger, Philipp Haertel
Summary: This study provides a structured analysis of the price formation in low-carbon power markets, focusing on the issues of market integration, revenue cannibalisation, and cost recovery for wind and solar photovoltaics. It also examines the impact of new market participants and evaluates the revenue of various technology categories. The research sheds light on the future European power markets and contributes to the goal of achieving a climate-neutral continent.
Article
Engineering, Electrical & Electronic
Marco G. Flammini, Giuseppe Prettico, Andrea Mazza, Gianfranco Chicco
Summary: This paper presents a methodology for simulating future electricity wholesale prices by considering hourly electricity generation offers datasets. Machine learning, clustering, and distribution sampling techniques are used in estimating prices distribution in 2030 in the Italian market. The approach bypasses the need for access to all transactions of a given market, achieving similar results using probability distributions.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Review
Environmental Sciences
Bin Sun, Qijun Zhang, Chao Zou, Hui Tong, Ning Wei, Zhenyu Jia, Hongjun Mao
Summary: This study categorizes traffic flow energy models into four groups and points out the advantages and disadvantages of each model. Future research should focus on large-scale vehicle testing, the integration of macro and micro traffic flow theories, and reducing computing complexity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Zhixue Yang, Zhouyang Ren, Zhenwen Li, Yan Xu, Hui Li, Wenyuan Li, Xiuqiong Hu
Summary: This paper proposes a comprehensive analysis method for levelized costs of energy (LCOE) in tidal current power generation farms (TCPGFs). The method takes into account the detailed investment and operation costs, as well as emission reduction benefits, and considers factors such as wake effects, reliability, and tidal current velocity characteristics in the evaluation.
Article
Energy & Fuels
Wei Sai, Zehua Pan, Siyu Liu, Zhenjun Jiao, Zheng Zhong, Bin Miao, Siew Hwa Chan
Summary: This study proposes an event-driven forecast model using XGBoost algorithm to provide real-time automatic price forecast of the wholesale electricity price. The model takes commercially available data as input, has short training time and high prediction accuracy, and can serve as an effective supplementary tool in future virtual power plant operation.
Article
Construction & Building Technology
Renata Mansuelo Alves Domingos, Fernando Oscar Ruttkay Pereira
Summary: The research evaluated 576 models and conducted economic assessments based on indicators such as Net Present Value (NPV), Internal Rate of Return (IRR), and payback. The results showed that the photovoltaic system outperformed in terms of financial indicators, especially for isolated applications, showing the possibility of massive implementation of renewable, financially viable clean energy.
ENERGY AND BUILDINGS
(2021)
Article
Environmental Sciences
Donghui Liu, Shanshan Wang, Ruoyu Xue, Gengyu Gao, Ruiqin Zhang
Summary: Municipal solid waste (MSW) incineration power generation is an important treatment technology, which can bring significant energy-saving and emission reduction benefits. It has lower environmental impact compared to landfill and coal-fired power generation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Energy & Fuels
Ye Min, Chai Ching Tan
Summary: This study focuses on the agricultural energy Internet and aims to solve the existing problems to ensure the safety and reliability of the grid-connected photovoltaic power generation system. The study utilizes MATLAB modeling to simulate and analyze changes in working conditions, demonstrating the effectiveness of the control model in meeting grid requirements. Intelligent photovoltaic technology and intelligent irrigation offer solutions to resource waste and optimization of agricultural energy structure.
Article
Thermodynamics
Stanislav Boldyryev, Tatyana Gil, Mariia Ilchenko
Summary: Retrofit of the heat exchanger network plays an important role in improving energy efficiency and reducing emissions in the process industry. This paper proposes an approach for economic and environmental assessment of retrofit options based on historical data and energy price trends. Through a case study, the economic and environmental indicators of three retrofit options under different energy price scenarios are analyzed. The results show that the most effective retrofit option varies depending on the energy price levels, with the option that achieves the greatest energy and emission savings being the most effective during periods of high energy prices. This method provides decision-makers with a tool to evaluate retrofit projects under different economic conditions and can be applicable in other process industries.
