Dynamic energy, exergy and market modeling of a High Temperature Heat and Power Storage System

Abstract A novel energy storage system that produces both electricity and heat at high efficiencies and takes advantage of a high temperature hot rock cavern thermal energy storage was recently introduced and designed. This study aims at evaluating the performance of the system in terms of energy and exergy efficiencies under realistic operational conditions where the storage supports a number of wind turbines over a long period. The potential value creation of the energy storage system in the local electricity and heat markets is also assessed. The Western part of Denmark with its high number of wind turbine plants and flexible electricity and heat markets have been chosen for the case study of this work. Having both forecasted and realized wind power generation as well as energy prices for the recent years, the system is designed with rigor and a smart bid strategy for the power plant equipped with the energy storage unit for day-ahead and intra-day markets is determined. The results show that the system is able to compensate the fluctuations of wind power plants, and present high annual overall energy and electricity efficiencies of 80.2% and 31.4% and exergy efficiency of 56.1%.

[1]  M. Farzaneh-Gord,et al.  The first and second law analysis of a grid connected photovoltaic plant equipped with a compressed air energy storage unit , 2015 .

[2]  Eui-Seob Park,et al.  Analysis on heat transfer and heat loss characteristics of rock cavern thermal energy storage , 2014 .

[3]  A. Abdel-azim Fundamentals of Heat and Mass Transfer , 2011 .

[4]  Grigorios L. Kyriakopoulos,et al.  Electrical energy storage systems in electricity generation: Energy policies, innovative technologies, and regulatory regimes , 2016 .

[5]  Ahmad Arabkoohsar,et al.  Design and analysis of the novel concept of high temperature heat and power storage , 2017 .

[6]  Florian Ziel,et al.  Forecasting day ahead electricity spot prices: The impact of the EXAA to other European electricity markets , 2015, 1501.00818.

[7]  Mahmood Farzaneh-Gord,et al.  Thermo-economic analysis and sizing of a PV plant equipped with a compressed air energy storage system , 2015 .

[8]  Gang Li Sensible heat thermal storage energy and exergy performance evaluations , 2016 .

[9]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[10]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[11]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[12]  Rolando A. Rodriguez,et al.  The potential for arbitrage of wind and solar surplus power in Denmark , 2014 .

[13]  Mohd Wazir Mustafa,et al.  Energy storage systems for renewable energy power sector integration and mitigation of intermittency , 2014 .

[14]  Ahmad Arabkoohsar,et al.  Operation analysis of a photovoltaic plant integrated with a compressed air energy storage system and a city gate station , 2016 .

[15]  D. P. Sekulic,et al.  Fundamentals of Heat Exchanger Design , 2003 .

[16]  Chi-Jen Yang,et al.  Pumped Hydroelectric Storage , 2016 .

[17]  Marc A. Rosen,et al.  Using Exergy to Understand and Improve the Efficiency of Electrical Power Technologies , 2009, Entropy.

[18]  Yiping Dai,et al.  Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level , 2015 .

[19]  A. Bejan Fundamentals of exergy analysis, entropy generation minimization, and the generation of flow architecture , 2002 .

[20]  Hossein Safaei,et al.  Thermodynamic Analysis of a Compressed Air Energy Storage Facility Exporting Compression Heat to an External Heat Load , 2014 .

[21]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[22]  Nabeela Qureshi An analysis of bidding strategies in the Danish wind power market , 2014 .