The Value of Energy Storage in the Decarbonized Energy System: An Energy System Optimization Approach Considering Non-synchronous Power Generation Constraints

2021 ◽  
Vol 141 (5) ◽  
pp. 326-335
Author(s):  
Yasuaki Kawakami
Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2108 ◽  
Author(s):  
Yulei Xie ◽  
Linrui Wang ◽  
Guohe Huang ◽  
Dehong Xia ◽  
Ling Ji

In this study, in order to improve regional energy system adjustment, a multistage stochastic inexact robust programming (MSIRP) is proposed for electric-power generation planning and structure adjustment management under uncertainty. Scenario-based inexact multistage stochastic programming and stochastic robust optimization were integrated into general programming to reflect uncertainties that were expressed as interval values and probability distributions in the objective function and constraints. An MSIRP-based energy system optimization model is proposed for electric-power structure management of Zibo City in Shandong Province, China. Three power demand scenarios associated with electric-power structure adjustment, imported electricity, and emission reduction were designed to obtain multiple decision schemes for supporting regional sustainable energy system development. The power generation schemes, imported electricity, and emissions of CO2 and air pollutants were analyzed. The results indicated that the model can effectively not only provide a more stable energy supply strategies and electric-power structure adjustment schemes, but also improve the balanced development between conventional and new clear power generation technologies under uncertainty.


2017 ◽  
Vol 139 (09) ◽  
pp. 30-35 ◽  
Author(s):  
F. Todd Davidson ◽  
Kazunori Nagasawa ◽  
Michael E. Webber

This article explains the need for producing synthetic fuels in support of making a clean and reliable energy system. This production process is expected to solve several problems at once: stabilizing intermittent electricity supply while creating renewable fuels for use in power generation, transportation, and industry. The large-scale introduction of wind and solar power now makes the production of renewable fuels at least technically feasible. Policymakers should start to give electrofuels the attention they deserve. There are many tax credits or subsidies for renewable or low-carbon sources of electricity such as wind, solar, geothermal, and nuclear, but electrofuels are not yet prominent in the discussion. In addition, while states like California have mandates for energy storage, stakeholders often ignore the option of electrofuels despite the potential for them to be a more useful and affordable competitor to batteries. The article concludes that electrofuels may provide a unique solution to a number of challenges, and it is time our markets and policies recognize that possibility.


2021 ◽  
Vol 312 ◽  
pp. 01003
Author(s):  
Paolo Colbertaldo ◽  
Giulio Guandalini ◽  
Stefano Campanari

The urgence of decarbonization has pushed many countries to set ambitious net-zero CO2 emission targets by 2050. This requires a substantial transformation of energy sources, conversion methods, and final uses. This work investigates the structure of the future Italian energy system – in terms of power generation capacity, energy storage, mobility fuel shares – and assesses benchmark scenarios able to reach a fully decarbonized supply in power and transport sectors, considering their long-term evolution. The analysis adopts a multi-node multi-vector model that simulates the year-long energy system behaviour with hourly time resolution and optimizes sizing (installed capacities) and operation (energy flows). The model considers power generation from different sources, electric consumption, and mobility demand for energy vectors, focusing on electricity and hydrogen. The required installed capacities of RES power plants and energy storage systems appear to be extremely high (at least 10x today’s solar PV or more), but in general positively influenced by sector integration strategies and energy vector multiplicity. Energy storage and flexibility solutions are essential, combining battery storage, Power-to-Hydrogen, Power-to-Power, smart charging, and vehicle-to-grid. If capacity installation is limited (e.g., due to land availability), the need to satisfy consumption yields significant import requirements, which also depend upon the mobility mix and the decarbonization targets.


Author(s):  
Shen Lu ◽  
Harrison M. Kim

The optimal design of hybrid power generation systems (HPGS) can significantly improve the economic and technical performance of power supply. Due to the intermittent nature of renewable energy sources, as well as the application of energy storage techniques, the efficacy and efficiency of reliability assessment have become vital for successful HPGS design optimization. This paper proposes a sizing optimization method for HPGS based on a Markovian approach for long term reliability assessment. A multi-scenario formulation is considered to minimize the system cost while guaranteeing acceptable reliability across all the representative scenarios. The presented reliability analysis approach employs a Markov chain to model the state of charge of the energy storage based on probabilistic resource and load models. With this treatment, the loss of load probability of the HPGS can be tracked with relatively low computation, making it suitable for optimization applications. The effectiveness of the reliability analysis approach is tested through a comparison with Monte Carlo simulation; then the optimization approach is demonstrated with a numerical case study.


2021 ◽  
Vol 2121 (1) ◽  
pp. 012015
Author(s):  
Tieyan Zhang ◽  
Junbao Yang ◽  
Yaru Wang ◽  
Min Li ◽  
Dawei Zhang ◽  
...  

Abstract With the development of science and technology, people also pay more and more attention to the development of new energy. Although there are also many studies on integrated energy systems now, integrated energy systems containing energy storage should also be further studied. This paper proposes an optimization of integrated energy system for combined cooling, heating and power supply of new energy based on energy storage, which analyzes the gas turbine, absorption refrigerating machine, electric refrigerator, photovoltaic power generation units, wind turbine and the work characteristics of the energy storage device. In this paper, an integrated energy system optimization model of new energy cogeneration with energy storage equipment is established. An example shows that the integrated energy system with energy storage can effectively solve the independent decoupling operation relationship among cool, heat and electricity. At the same time, the proposed model can also solve the energy interaction among cool, heat and electricity. In this way, the optimal operation of the integrated energy system can be realized.


Author(s):  
Paolo Colbertaldo ◽  
Giulio Guandalini ◽  
Elena Crespi ◽  
Stefano Campanari

Abstract A key approach to large renewable energy sources (RES) power management is based on implementing storage technologies, including batteries, power-to-hydrogen (P2H), pumped-hydro, and compressed air energy storage. Power-to-hydrogen presents specific advantages in terms of suitability for large-scale and long-term energy storage as well as capability to decarbonize a wide range of end-use sectors, e.g., including both power generation and mobility. This work applies a multi-nodal model for the hourly simulation of the energy system at a nation scale, integrating the power, transport, and natural gas sectors. Three main infrastructures are considered: (i) the power grid, characterized by instantaneous supply-demand balance and featuring a variety of storage options; (ii) the natural gas network, which can host a variable hydrogen content, supplying NG-H2 blends to the final consumers; (iii) the hydrogen production, storage, and re-electrification facilities. The aim of the work is to assess the role that can be played by gas turbine-based combined cycles in the future high-RES electric grid. Combined cycles (GTCCs) would exploit hydrogen generated by P2H implementation at large scale, transported through the natural gas infrastructure at increasingly admixed fractions, thus closing the power-to-power (P2P) conversion of excess renewables and becoming a strategic asset for future grid balancing applications. A long-term scenario of the Italian energy system is analyzed, involving a massive increase of intermittent RES power generation capacity and a significant introduction of low-emission vehicles based on electric drivetrains (pure-battery or fuel-cell). The analysis highlights the role of hydrogen as clean energy vector, not only for specific use in new applications like fuel cell vehicles and stationary fuel cells, but also for substitution of fossil fuels in conventional combustion devices. The study also explores the option of repowering the combined cycles at current sites and evaluates the effect of inter-zonal limits on power and hydrogen exchange. Moreover, results include the evaluation of the required hydrogen storage size, distributed at regional scale or in correspondence of the power plant sites. Results show that when extra hydrogen generated by P2H is fed to GTCCs, up to 17–24% H2 use is achieved, reaching up to 70–100% in southern regions, with a parallel reduction in fossil NG input and CO2 emissions of the GTCC plants.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hao Liu ◽  
Baojia Wu ◽  
Akbar Maleki ◽  
Fathollah Pourfayaz ◽  
Roghayeh Ghasempour

Stand-alone hybrid energy systems based on solar and energy storage are an effective option for rural areas to meet the load demand. The objective of the current work is to the optimal configuration of a stand-alone hybrid photovoltaic/battery energy storage system with the help of an efficient metaheuristic algorithm, improved harmony search, to supply electrical of a residential load in Iran. The objective function is a minimization of total life cycle cost (TLCC) subject to the reliability index (loss of load probability). The optimal configurations of hybrid systems are compared in respect of different losses of load probability (0 to 20%). Sensitivity analysis and effects of economic parameters based on photovoltaic and battery prices are carried out to study the possibility of the suggested scheme. The results show that, by increasing the reliability index from 0 to 20%, the optimal number of panels and batteries decreases by 52 and 1202. Also, it is found that the TLCC of the system and cost of system components are increased by decreasing of the reliability index value.


Energy ◽  
2019 ◽  
Vol 181 ◽  
pp. 1321-1330
Author(s):  
A.R. de Queiroz ◽  
D. Mulcahy ◽  
A. Sankarasubramanian ◽  
J.P. Deane ◽  
G. Mahinthakumar ◽  
...  

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