Performance of Gas-Steam Combined Cycle Cogeneration Units Influenced by Heating Network Terminal Steam Parameters

The determination of source-side extracted heating parameters is of great significance to the economic operation of cogeneration systems.This paper investigated the coupling performance of a cogeneration heating and power system multidimensionally based on the operating characteristics of the cogeneration units,the hydraulic and thermodynamic characteristics of the heating network,and the energy loads.Taking a steam network supported by a gas-steam combined cycle cogeneration system as the research case,the interaction effect among the source-side prime movers,the heating networks,and the terminal demand thermal parameters were investigated based on the designed values,the plant testing data,and the validated simulation.The operating maps of the gas-steam combined cycle cogeneration units were obtained using THERMOFLEX,and the minimum source-side steam parameters of the steam network were solved using an inverse solution procedure based on the hydro-thermodynamic coupling model.The cogeneration operating maps indicate that the available operating domain considerably narrows with the rise of the extraction steam pressure and flow rate.The heating network inverse solution demonstrates that the source-side steam pressure and temperature can be optimized from the originally designed 1.11 MPa and 238.8°C to 1.074 MPa and 191.15°C,respectively.Under the operating strategy with the minimum source-side heating parameters,the power peak regulation depth remarkably increases to 18.30%whereas the comprehensive thermal efficiency decreases.The operation under the minimum source-side heating steam parameters can be superior to the originally designed one in the economy at a higher price of the heating steam.At a fuel price of$0.38/kg and the power to fuel price of 0.18 kg/(kW·h),the critical price ratio of heating steam to fuel is 119.1 kg/t.The influence of the power-fuel price ratio on the economic deviation appears relatively weak.

Comparative Assessment of Combined-Heat-and-Power Performance of Small-Scale Aero-Derivative Gas Turbine Cycles

This paper considers comparative assessment of combined-heat-and-power (CHP) performance of three small-scale aero-derivative industrial gas turbine cycles in the petrochemical industry. The bulk of supposedly waste exhaust heat associated with gas turbine operation has necessitated the need for CHP application for greater fuel efficiency. This would render gas turbine cycles environ-mentally-friendly, and more economical. However, choosing a particular engine cycle option for small-scale CHP requires information about performances of CHP engine cycle options. The investigation encompasses comparative assessment of simple cycle (SC), recuperated (RC), and intercooled-recuperated (ICR) small-scale aero-derivative industrial gas turbines combined-heat-and-power (SS-ADIGT-CHP). Small-scale ADIGT engines of 1.567 MW derived from helicopter gas turbines are herein analysed in combined-heat-and-power (CHP) application. It was found that in this category of ADIGT engines, better CHP efficiency is exhibited by RC and ICR cycles than SC engine. The CHP efficiencies of RC, ICR, and SC small-scale ADIGT-CHP cycles were found to be 71%, 60%, and 56% respectively. Also, RC engine produces the highest heat recovery steam generator (HRSG) duty. The HRSG duties were found to be 3171.3 kW for RC, 2621.6 kW for ICR, and 3063.1 kW for SC. These outcomes would actually meet the objective of aiding informed preliminary choice of small-scale ADIGT engine cycle options for CHP application.

Technical and Economic Aspects and Experience from 6 Years of Operating the Technology Using the Waste Heat from the Exhaust Gases of Heat Sources and 3 Years of Operating a Heating Plant in an Autonomous, Island Regime

This article is focused on technical and economic evaluation of more than 6-years experiences of operating the Waste Heat Recovery technology—the manner and system of flue gas processing generated in the combustion process in heat & power plants, cogeneration units, etc., which burn the gaseous fuel, primarily natural gas, or methane, biogas, geothermal gas, or other gaseous mixtures containing hydrogen. The solution proposes a more effective and non-traditional use of gaseous fuel for heating, the flue gases of which are processed in order to extract additional utilisable heat, with potential elimination of CO2 from them. Deploying of the heating plant in an island regime (OFF-GRID) enables definition of the benefits brought by the 3 years of operational experience and presents visions for the future offering the possibility to utilise the support energy services at the municipal as well as regional level.

Biomass Combined Heat and Power Generation for Anticosti Island: A Case Study

Combined heat and power (CHP) plants (co-generation plants) using biomass as fuel, can be an interesting alternative to the predominant electrical heating in Canada. The biomass-fueled boiler provides heat for the steam cycle which in turn generates electricity from the generator connected to the steam turbine. In addition, heat from the process is supplied to a district heating system. The heat can be extracted from the system in a number of ways, by using a back-pressure steam turbine, an extraction steam turbine or by extracting heat directly from the boiler. The objective of the paper is the design, modeling and simulation of such CHP plant. The plant should be sized for providing electric-ity and heat for the Anticosti Island community in Quebec.

Numerical and Experimental Study of a Multi-Generation Desalination Power Plant

The demand for more efficient power generation is not only a prominent subject for environmental reasons but for economic reasons as well. Continuing growth in population contributes to more and more consumption of fresh water, demanding less expensive desalination production, especially in the regions with little or no natural fresh water. Multigeneration desalination power plants may provide solutions to these issues through advanced and efficient designs that are capable of supplying fresh water and power to remote or arid regions of the world. This paper examines the flexibility and versatility of multigeneration systems to showcase the myriad of combinations that are available to accommodate any specific application. It also proposes a specific design for a multi-stage flash desalination system that is powered directly by the exhaust gases of a natural gas micro-turbine capable of producing around 1 MW of electrical power. The performance characteristics, the fresh water produced per kW and the overall plant efficiency, are numerically investigated and compared with previous designs that were analyzed on a larger scale. It is determined that the multigeneration system can produce 56,891 gallons of fresh water per day and an estimated 4.07 tons of salt per day and that a small scale multi-generation desalting systems is feasible.

A Decision Method of Cogeneration Operation Schedule by Combining Use of SOFCs and PEFCs

In this paper, the authors propose a cogeneration system by combining two kinds of FCs （fuel cells） for a collective housing. The good points which each FC has are applied to the cogeneration operation schedule. In this study, some rooms interchange electric power and heat with each other for high efficiency and reduction of energy loss. The authors determine an operation schedule of FCs by multi-evaluation from viewpoints of energy cost and CO2 emissions.

基于碳交易-绿色证书联合交易机制的含CHP-CCS-P2G耦合的区域综合能源系统低碳经济调度

提出一种基于碳交易-绿色证书联合交易机制的含热电联产机组、碳捕集和电转气设备联合运行的区域综合能源系统低碳经济调度模型。首先,分析碳交易和绿色证书交易机制的运行原理并构建其模型;同时,研究绿证交易价格变化对可再生能源消纳的影响。然后,在热电联产机组中引入碳捕集和电转气设备,构建热电联产机组、碳捕集和电转气设备联合运行的模型,将碳交易-绿证联合交易机制引入该模型中,并且分析热电联产机组联合运行模式下的电力、热力耦合特性。最后,在算例中通过设置不同的调度场景进行对比分析,结果表明该策略可有效降低碳排放,扩大可再生能源上网空间,使系统的运行更加经济。

The ecosystem of Lake Kenon:past and present(Transbaikal Territory,Russia)

Present-day conditions of the Lake Kenon ecosystem are determined by a combination of natural and anthropogenic factors. We have estimated the effects of a complex of factors on the condition of the abiotic environment and on specific biological components in the lake ecosystem. Change in biogenic load has caused an increase in the role of phytoplankton in the general balance of organic matter during the high-water period. Charophytes are the main dominants of bottom vegetation. Anthropogenic load has caused a decrease in both fish species and fish capacity. The lake application as a water reservoir-cooler has influenced the average annual water mineralization （from 420 mg/L to 530.0 mg/L with a maximum 654 mg/L in 1993） and fluctuations in its hydrochemical composition. The present composition of the lake is sulfate-hydrocarbonate-chloride calcium-sodic-magnesium in character. S（Y44 content is twice as much as the maximum permissible concentration in fishery waters. Water drainage from an ash disposal area to the lake has caused an increase in chemical-element concentrations including the heavy metals. Hg concentration in Perca fluviatilis muscles is 0.5 9g/g dry wt. Thus, understanding directions in the ecosystem of the water reservoir-cooler under changing hydrological conditions will let us forecast the consequences of new combined heat and power plant operation.

Schedule for Reducing the Use of Peat and the Possibilities of Replacing It with Forest Chips in Energy Production in Finland

Between 2018 and 2020, an average of 15 TWh of energy peat was consumed in Finland. Energy peat is used in 260 boilers in Finland, which produce district heat and heat and steam for industry, as well as electricity as cogeneration (CHP) in connection with district heating and industrial heat production. Peat accounts for 3% - 5% of the energy sources used in Finland, but its importance has been greater in terms of security of supply. With current use in accordance with the 2018-2020 average, the emissions from peat are almost 6 Mt CO2 per year in Finland, which is 15% of emissions from the energy sector. In this study, the technical limitations related to peat burning, economic limitations related to the availability of biomass, and socio-economic limitations related to the regional economy are reviewed. By 2040, the technical minimum use of peat will fall to 2 TWh. The techno-economical potential may be even lower, but due to socio-economic objectives, peat production will not be completely ceased. The reduction in the minimum share assumes that old peat boilers are replaced with new biomass boilers or are alternatively replaced by other forms of heat production. Based on the biomass reserves, the current use of peat can be completely replaced by forest chips, but regional challenges may occur along the coast and in southern Finland. It is unlikely that the current demand for all peat will be fully replaced by biomass when part of CHP production is replaced by heat production alone and combustion with waste heat sources.

绿证与改进型阶梯式碳交易互动机制下的CHP系统低碳经济调度研究

为了进一步降低热电联产型源荷系统的碳排放量,同时兼顾经济效益,文章改进了普通阶梯式碳交易的交易模型,提出了一种绿证与改进型阶梯式碳交易互动机制下的CHP型源荷系统低碳经济调度策略。构建热电联供型能源系统模型,确定能源测、转换侧、负荷侧模型,同时构建需求响应机制;在数学模型的基础上构建双层调度模型,上层模型是改进型阶梯式碳交易优化模型,利用差分进化算法来实现阶梯式碳交易参数自适应变化;下层源荷系统调度仿真模型,以系统运行成本为目标函数,耦合了碳交易机制和绿证策略,实现直接、间接同时减排,同时利用Cplex求解器进行最优化求解。最后,建立四种典型场景,对比分析得出所提策略能显著降低碳排放量,同时具有较好的经济效益,能够为源荷系统低碳经济调度提供参考。

Dispatch Model for Integrated Heat and Power Systems Considering Internal Composition of CHP Plants

An integrated heat and power system(IHPS)is a promising approach for alleviating wind curtailment problems.In an IHPS,the combined heat and power(CHP)plant is the key component,which supplies both heat and electric loads,and couples the thermal system and power system.However,existing research commonly ignores or simplifies the internal composition of CHP plants,which could lead to some unavoidable errors.This paper focuses on the internal composition of CHP plants,and models the physical processes in different components and flexible resources in the CHP plant.Furthermore,a joint dispatch problem of an IHPS with the above CHP plant models is formulated,and an iterative algorithm is developed to handle the nonlinearity in this problem.Case studies are performed based on a real CHP plant in Northern China,and the results indicate that the synergistic effect of different energy resources in the CHP plant is realized by the joint dispatch model,which promotes wind power accommodation and reduces fossil fuel consumption.

Proposal and Assessment of an Engine-Based Distributed Steam and Power Cogeneration System Integrated with an Absorption-Compression Heat Pump

Internal combustion engine-based poly-generation systems have been widely used for energy savings and emissions reductions.To maximize their thermodynamic and environmental performance potentials,the efficient recovery of flue gas and jacket water heat is essential.In a conventional internal combustion engine-based steam and power cogeneration system,the low-temperature(less than 170°C)heat from flue gas and jacket water is usually directly discharged to the environment,which dramatically reduces the thermal and economic performance.In this work,a high-temperature heat pump is employed to recover this part of low-temperature heat for steam generation.The sensible heat of the flue gas and jacket water is cascade utilized in a steam generator and a heat pump.Simulation results show that the process steam yield of the proposed system is almost doubled(increased by 703 kg/h)compared to that of an engine-based cogeneration system without a heat pump.The proposed system can reduce natural gas consumption,C 02 and NOx emissions by approximately 199069 m3,372.64 tons and 3.02 tons per year,respectively,with a primary energy ratio and exergy efficiency of 72.52%and 46.28%,respectively.Moreover,the proposed system has a lower payback period with a value of 5.11 years,and the determining factors that affect the payback period are natural gas and electricity prices.The total net present value of the proposed system within its lifespan is 2441581 USD,and an extra profit of 785748 USD can be obtained compared to the reference system.This is a promising approach for replacing gas boilers for process steam production in industrial sectors.

基于CLH-SOFC气转电技术的热电解耦IES优化调度

针对热电联产机组热电比恒定导致其出力水平较低,以及电力负荷波动对上游电网产生的影响,本文提出一种基于化学链制氢与固体燃料电池相结合的气转电技术的热电解耦综合能源系统优化调度模型。首先在传统热电联产机组中加入有机朗肯循环余热发电装置,在电力负荷需求高峰时段将部分余热转化为电能,提高燃气轮机出力,同时加入化学链制氢与固体燃料电池相结合的集成系统增强电-气耦合,进一步起到平抑电负荷波动,达到削峰填谷的目的。根据算例分析,在3种场景下进行对比,结果表明,本文提出的热电解耦模型在提高系统运行经济性、减少负荷波动对上游电网影响等方面具有优越性,并进一步提高了能源利用效率。

1 kW家庭PEMFC-CHP系统热量分析

为考核微型燃料电池热-电联供系统的热量利用程度,采集了一年中日本某家庭使用的1 k W质子交换膜燃料电池(PEMFC)的微型热-电联产系统各单元的数据,进行统计与分析,从热量利用的角度,计算各单元热量输入输出效率。结果表明,储热水箱散热与输运管道散热是系统热损失较多的薄弱环节。相关统计与分析,对改进类似热-电联产系统,进一步提高能源综合利用效率具有参考意义。

考虑压降的开式布雷顿CHP装置性能优化

考虑工质在流动过程中的压降不可逆性,建立开式简单布雷顿热电联产装置的有限时间热力学模型。以可用能率、火用输出率、利润率、第一定律效率和火用效率为目标研究装置的性能。通过Matlab数值计算,在无燃料消耗和装置尺寸约束下,优化了压气机进口相对压降,得到了最优可用能率、火用输出率和利润率,进一步优化压比,得到了最大火用输出率和利润率;在有约束条件下,优化压气机进口相对压降,得到了最优第一定律效率和火用效率,同时得到了各部件最佳的流通面积分配,进一步优化压比,得到了最大第一定律效率和火用效率。研究设计参数对装置最优性能的影响,发现分别存在最佳的供热温度使火用输出率、利润率和火用效率取得双重最大值。通过比较发现按最大火用输出率设计能使装置具有较大的可用能率和较低的压比,按最大利润率设计能使装置具有较大的第一定律效率和火用效率以及较低的燃料和空气消耗。

计及CHP机组备用电热综合能源系统分解协调调度方法研究

文中提出一种考虑CHP机组备用能力挖掘的电热耦合系统分解协调调度方法,该方法分析了CHP机组抽汽调节控制灵活特性,量化了热力系统热备用协调量化关系。基于此,建立计及CHP机组备用的电热耦合调度模型。针对电热耦合系统的多主体特性,提出一种电热耦合系统分解协调调度方法。算例分析了计及CHP机组备用能力后电热耦合系统的运行效果,结果表明所提方法能通过利用CHP机组的备用能力提高电热耦合系统对风电的消纳能力以及系统运行的经济性能。

主动式热平衡NG-CHP与GSHP耦合分布式系统集成研究

针对浅层地热能应用过程中尚未解决的热平衡控制、天然气基分布式能源系统含硫低温烟气余热无法回收利用两个关键问题,基于能的综合梯级利用以及主动式热平衡思想,提出基于主动式热平衡集成机理的燃气轮机与热泵耦合一体化应用分布式热电联产系统,借助新型集成方式将含硫低温烟气余热回收与土壤源热泵一体化应用,不仅同时解决含硫低温烟气余热回收以及热失衡问题,并大幅提高系统热力性能与系统运行稳定性。采用流程模拟软件Aspen-plus完成新型系统以及参比系统性能对比计算,计算结果表明,较之参比系统,该新型系统总能系统效率达到82.7%,较参比系统73.8%,提高8.9个百分点;?效率为28.8%,较参比系统25.8%,提高3个百分点。该新型统的集成方法与思路为中低温烟气余热的高效应用提供一种新解决途径。

CCHP系统优化配置及与传统热电联产系统的性能对比分析

分布式能源系统可实现多类型能源互补供能、能量梯级利用,具有高效、环保、经济、可靠和灵活等特点。该文建立以经济性为导向的冷-热-电联产系统(CCHP)混合整数非线性优化配置模型,可对冷-热-电联产系统的原动机容量和太阳能集热器面积进行协同优化。选取北京地区某居住建筑为研究对象,利用传统热电联产系统、CCHP系统、耦合太阳能光热系统的CCHP系统分别对其进行冷、热、电能量供应,基于以电定热(FEL)和以热定电(FTL)两种运行策略对联产系统进行优化配置,并从经济性和能效性方面对3种系统进行对比分析。结果表明,基于FEL策略优化得到耦合太阳能光热系统的CCHP系统在经济性和能效性方面更具优势。

Distributed energy management for interconnected operation of combined heat and power-based microgrids with demand response

From the perspective of transactive energy, the energy trading among interconnected microgrids(MGs) is promising to improve the economy and reliability of system operations. In this paper, a distributed energy management method for interconnected operations of combined heat and power(CHP)-based MGs with demand response(DR) is proposed. First, the system model of operational cost including CHP, DR, renewable distributed sources, and diesel generation is introduced, where the DR is modeled as a virtual generation unit. Second, the optimal scheduling model is decentralized as several distributed scheduling models in accordance with the number of associated MGs. Moreover, a distributed iterative algorithm based on subgradient with dynamic search direction is proposed. During the iterative process, the information exchange between neighboring MGs is limited to Lagrange multipliers and expected purchasing energy. Finally,numerical results are given for an interconnected MGs system consisting of three MGs, and the effectiveness of the proposed method is verified.

Carbon emission impact on the operation of virtual power plant with combined heat and power system

A virtual power plant （VPP） can realize the aggregation of distributed generation in a certain region, and represent distributed generation to participate in the power market of the main grid. With the expansion of VPPs and ever-growing heat demand of consumers, managing the effect of fluctuations in the amount of available renewable resources on the operation of VPPs and maintaining an economical supply of electric power and heat energy to users have been important issues. This paper proposes the allocation of an electric boiler to realize wind power directly converted for supplying heat, which can not only overcome the limitation of beat output from a combined heat and power （CHP） unit, but also reduce carbon emissions from a VPP. After the electric boiler is considered in the VPP operation model of the combined heat and power system, a multi-objective model is built, which includes the costs of carbon emissions, total operation of the VPP and the electricity traded between the VPP and the main grid. The model is solved by the CPLEX package using the fuzzy membership function in Matlab, and a case study is presented. The power output of each unit in the case study is analyzed under four scenarios. The results show that after carbon emission is taken into account, the output of low carbon units is significantly increased, and the allocation of an electric boiler can facilitate the maximum absorption of renewable energy, which also reduces carbon emissions from the VPP.