Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance

Liu, Ming; Wang, Shan; Zhao, Yongliang; Tang, Haiyu; Yan, Junjie

doi:10.1016/j.energy.2019.116074

Cited by 95 publications

(17 citation statements)

References 32 publications

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“…Existing systems are accordingly designed with a focus on efficient operation of the CHP plant as their central element (cf. [7]- [10]). A characteristic feature of many renewable energy generation plants is fluctuating generation.…”

Section: Components Of Heat Supply Systemsmentioning

confidence: 99%

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

Witte-Humperdinck¹,

Thommessen²,

Nigbur³

et al. 2021

Atlantis Highlights in Engineering

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Combined heat and power (CHP) plants are the main supply source in Germany's district heating systems (DHS). Usually the generated power is fed into the power grid. Because CHP plants normally come along with thermal storages the heat supply operation is flexible, so that the electricity production can be optimized, e.g. by producing at times with attractive in-feed tariffs. However, in the course of the necessary transformation of all energy systems, renewable energy sources are increasingly being integrated into existing infrastructures. DHS operators are also involved in the expansion of renewable heat, e.g. by implementing solar thermal plants or large-scale heat pumps. In order to increase the share of renewable energy in DHS, thermal storage operation becomes essentially important. On the one hand, as much renewable heat as possible should be used or stored and on the other hand, CHP plants must run and fill t he s torage i f t he r ecoverable a mount f rom t he electricity sector is economically justifiable. B oth i mply l ess f ree storage capacity, whereas the chronological harmonization of loading and unloading plays an important role. The contribution of this paper is an analysis on different operation strategies for thermal storages to increase the share of renewable energy in urban DHS. Furthermore, the influence of heat load prediction and electricity price forecasting on thermal storage operation is derived. Results of a comparison of typical storage operation methods on a use case show that under the current legal framework conditions a flexible t hermal s torage o peration i s e ligible t o m eet several targets, i.e. increasing the share of renewable energy, securing the supply of heat to the DHS and ensuring an economic operation of the entire portfolio.

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Section: Components Of Heat Supply Systemsmentioning

confidence: 99%

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

Witte-Humperdinck¹,

Thommessen²,

Nigbur³

et al. 2021

Atlantis Highlights in Engineering

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“…It is assumed that the flexible CHP plant includes heat storage and three types of CHP units: a typical extraction condensing unit, an extraction back-pressure unit, and an extraction condensing unit with an LP turbine that could be flexibly cut off. Generally, the latter two types of units are retrofitted from the first type of unit [4,16]. This structure is typical in northeast China.…”

Section: The Bidding Models In the Two Marketsmentioning

confidence: 99%

“…Under the incentive of the DRS market, CHP plants have actively improved their operation flexibility in recent years [2,3], mainly focusing on reducing the lower limit of power output of the whole plant while satisfying the demand for heat. Some traditional extraction condensing units have been retrofitted into extraction back-pressure units or new-type extraction condensing units that could operate in the cutting-off low-pressure turbine situation (CLPT) [4]. In addition, many CHP plants have or will be equipped with heat storage to decouple heat and power [3].…”

Section: Introductionmentioning

confidence: 99%

Bidding Strategy of a Flexible CHP Plant for Participating in the Day-Ahead Energy and Downregulation Service Market

Cui

Song²,

Dou

et al. 2021

IEEE Access

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To integrate renewable energy generation from wind and solar radiation, most combined heat and power (CHP) plants in northern China are undergoing large-scale upgrades and retrofitting to improve operational flexibility. Simultaneously, the downregulation service (DRS) market is still retained in the dayahead market in many provinces. Considering a flexible CHP plant with multiple types of coal-fired CHP units and heat storage as a price taker, this paper establishes a collaborative bidding strategy for the CHP plant to participate in both the day-ahead energy market and day-ahead DRS market. The bidding strategy includes the optimal output decision model, power output range model, capacity segmenting model, and bidding models for two markets determined by the marginal generation cost (MGC) and the marginal downregulation cost (MDRC), respectively. These models are validated based on realistic data from a CHP plant in Northeast China.INDEX TERMS bidding strategy, combined heat and power (CHP), day-ahead spot market, downregulation service (DRS) market

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“…Regarding heating parameters, the following assumptions are made for the employed CHP operating areas 49,50 With these assumptions, the heating parameters of all steam streams can be obtained with the second-law efficiencies of the steam turbines and pressure of steam streams. So, based on these explanations, the heating parameters (pressure and temperature) are constant in the operating area.…”

Section: The Cost Functionmentioning

confidence: 99%

“…Regarding heating parameters, the following assumptions are made for the employed CHP operating areas 49,50 :…”

Section: The Proposed Concept For the Energy Planning Problemmentioning

confidence: 99%

Optimal planning of multi‐energy microgrid with different energy storages and demand responsive loads utilizing a technical‐economic‐environmental programming

2020

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This article proposes a planning model for a multi-energy microgrid (MEM) that supplies the electricity, heating, and cooling loads. This controls flexible demands and provides continuous control in the presence of smart and comprehensive programming of electricity, heat, ice, compressed air, and hydrogen energy storage. The features of the MEM are considering the losses and amortization costs of electricity, heating and cooling energy storage, and the operating area of the combined heat and power (CHP) units in the planning procedure. Besides, the principle of convexity in the CHP unit operation area is attended. The proposed formulation is applicable in days of summer and winter seasons for a variety of planning studies. The outcomes represent that utilizing the proposed MEM planning results in significant advantages for the power network and the consumer. The cost savings are respectively obtained equal to 33% and 34% in the winter and summer seasons. The cost savings can be considered besides the investiture cost of MEM elements to specifying the MEM profits made during the designing step. Another valuable result is the cost-saving of PHEV smart charge about 1.38 times of PHEV smart discharge for summer and about 1.05 for winter. It also makes the curve of demand optimal utilization from the demand response program and energy storage plan. K E Y W O R D S combined heat and power (CHP), demand response, energy planning, energy storage, multienergy microgrid (MEM), plug-in hybrid electric vehicle (PHEV)

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Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance

Cited by 95 publications

References 32 publications

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

Bidding Strategy of a Flexible CHP Plant for Participating in the Day-Ahead Energy and Downregulation Service Market

Optimal planning of multi‐energy microgrid with different energy storages and demand responsive loads utilizing a technical‐economic‐environmental programming

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