考虑需求响应的各季节能量枢纽优化运行

综合能源系统中能量枢纽的优化运行有助于提高能源利用效率,是综合能源系统中研究热点之一。基于能量枢纽结构和运行机制,建立了通用型能量枢纽模型,以运行费用最低为目标函数,采用粒子群优化算法对能量枢纽进行优化运行研究。该方法有效地考虑了能源价格和不同季节负荷特性对能量枢纽运行的影响,并与以热定电和以电定热两种运行模式进行对比分析。算例仿真表明,能量枢纽的优化运行不仅更具有经济效益,而且还有利于电网安全稳定的运行。     

基于多元储能的分布式能源系统优化调度方法研究

为进一步构建清洁低碳、经济节能的供能系统,研究建立了含风、光以及多元储能的分布式能源系统,针对北京某办公园区,采用DeST预测用户负荷以及当地风、光条件。以经济性、节能性和环保性三方面的综合效益最大为目标,提出一种自适应优化运行策略,分别采用穷举搜索法和遗传算法对系统优化调度方案进行优化。同时,采用以电定热运行策略作为对照,对比分析几种不同运行策略下系统的综合效益。结果表明：传统以电定热运行模式下的综合效益平均值为0.41;而在自适应优化运行策略下,使用遗传算法得到的调度方案,其综合效益平均值可达0.5,穷举搜索法得到的运行方案,其综合效益平均值可达0.51。     

燃气分布式能源“以热定电”和“以电定热”运行模式下的能效对比分析研究

为了分析对比"以热定电""以电定热"两种运行方式下燃气分布式能源系统的能效情况,通过设定两种运行模式下的燃气分布式能源系统通用能效指标,建立燃气分布式能源运行通用能效模型。以北京某医院为例,进行负荷模拟,设定机组配置,统计获取其全年逐时冷、热、电负荷,夏季/冬季典型日逐时负荷参数;结果分析得出,与"以热定电"相比,"以电定热"可以获取更高的负荷率、有效利用小时数,带来更高的发电效率,降低各类污染物的排放,但由于春秋过渡季节无冷热负荷,余热无法利用,整体效率和节能率有所降低。     

Analysis of installed capacity and operation strategy for distributed combined heating and power systems

分布式热电联产系统是一种临近用户的先进能源系统,系统构型、装机容量和运行策略的选择对系统节能性、环保性和经济性有重要影响。本研究以某办公大楼为对象,根据其全年实时运行数据,分析了其热电负荷特征;同时,为该办公楼构建了分别以微燃机和内燃机为动力单元的两种不同CHP系统构型方案,建立了相应的变工况能量平衡模型。进一步探讨了系统在以热定电与以电定热、变工况运行与额定运行、有储热与无储热、24 h连续运行与早起晚停等不同运行策略下动力机组装机容量对该办公楼经济性、节能性和环保性的影响规律。同时运用多目标评价指标来对系统不同装机容量和运行策略下的收益综合评估,并引入了混沌粒子群优化算法来找到系统最大的综合收益,结果表明,该办公楼应用CHP系统后全年的经济性、节能性和环保性较传统的单一功能模式分别提高了22.85%、17.45%、25.06%。     

基于液化空气储能的综合能源系统经济性分析

以园区为研究背景,基于"以热定电"、"以电定热"两种模式,对园区内的综合能源系统进行研究.针对夏季、冬季两个典型日设计了八种方案来对比系统配置液化空气储能与未配置液化空气储能时各子系统输出功率及总成本的变化.结果表明,在园区配置液化空气储能,采用"以热定电"模式运行时经济效益最高且能源损耗量最少.在大暑日,其总成本比未配置液化空气储能的系统降低6.1％.在大寒日,其总成本比未配置液化空气储能的系统总成本降低4.5％.同样配置液化空气储能的情况下,采用"以热定电"模式运行的系统要比"以电定热"模式总成本低.在大暑日总成本降低9.5％,在大寒日,总成本降低4.5％.     

光-气互补冷热电联供系统容量配置与运行研究

以某商业综合体为研究对象,依据园区供冷、供暖和过渡季的负荷需求,构建了光-气互补冷热电联供系统(Hybrid CCHP).从能源、经济和环境方面建立综合指标,采用遗传算法对系统的驱动设备容量配置进行优化,比较了在以热定电和以电定热、有无太阳能互补以及有无储能情况下系统一次能源节约率、年运行总成本节约率以及CO2减排率情...     

基于不同运行模式的CCHP-ORC系统运行仿真与性能评估

针对常规CCHP系统应用过程中所面临的供需两侧热电平衡问题,通过引入ORC系统形成CCHP-ORC联合循环。同时,通过对系统选型配置与热力学参数的耦合分析,构建"以热定电"、"以电定热"两种模式下的系统运行仿真模型并针对酒店、办公楼和住宅三类典型用户进行定量分析。结果表明:ORC系统的耦合应用有效提升了常规CCHP系统性能;相较于"以热定电"模式,"以电定热"模式下ORC系统的引入对CCHP系统性能提升更显著;而且在热电比较小、电负荷较高的建筑类型中,CCHP-ORC系统的适用性更强。     

楼宇型分布式能源系统设备容量和运行策略优化研究

设备容量优化和运行策略优化是分布式能源系统设计,运行的关键问题。为实现分布式能源系统的经济效益,能效水平和环境效益最大化,针对楼宇型分布式能源系统建立了相对普适化的物理模型和数学模型,以粒子群优化算法和线性规划相结合,采用两阶段优化方法计算系统的最优容量配置,并给出运行策略。以某写字楼的分布式能源系统为例,得到最优的系统设备容量和全年逐时运行策略,并采用遍历法验证计算结果的准确性。优化的分布式能源系统与传统供能系统相比,费用年值降低7.79%,年总能耗降低24.18%,污染物排放量减少了62.77 %。     

计及多能需求的综合能源服务商优化运行策略研究

随着分布式发电技术的不断成熟及发展,未来综合能源服务将是整合不同类型分布式发电并满足用户不同用能需求的有效途径.提出了一种含有多种分布式发电资源同时考虑多用能需求的综合能源服务商优化运行策略模型.首先建立了含有风电、光伏、燃气轮机、电储能、电热泵、辅助锅炉等分布式资源及电、热用能需求的园区综合能源系统优化调度模型;其次...     

200MW机组热电解耦方案研究

随着火电机组由承担基本负荷转变为调峰能源,提高火电机组的调峰能力亟待研究。我国北方地区冬季供暖,热电联产机组冬季需达到最低电负荷保证居民采暖,按照"以热定电"方式运行。为提高某北方200 MW机组供热负荷及热电解耦能力,对比光轴、低压缸零出力两种方案的热经济性及技术经济性,分析了不同方案的优、缺点。与传统的供热改造方案相比,低压缸零出力技术具有投资费用低,热经济性好,运行方式灵活,风险可控的特点。     

A linear programming optimization model for optimal operation strategy design and sizing of the CCHP systems

Combined cooling, heat, and power (CCHP) system offers numerous potential advantages for the supply of energy to residential buildings in the sense of improved energy efficiency and reduced environmental burdens. To realize the potential for being more beneficial, however, such systems must reduce total costs relative to conventional systems. In this study, a linear programming optimization model was presented for optimum planning and sizing of CCHP systems. The purpose of the model is to give the design of the CCHP system by considering electrical chiller and absorption chiller simultaneously in economic viewpoint. A numerical study was conducted in Tehran to evaluate the CCHP system model. The linear programming (LP) model determines the optimal sizes of the CCHP equipment by considering capital cost of the system. It showed that by considering electricity buyback, the optimum size of the electrical chiller decrease and the optimum size of the combined heat and power (CHP) unit and the absorption chiller increase dramatically with respect to without electricity buyback. Also, the LP model determines the optimal operation strategy of the system by neglecting capital cost. The optimally operated CCHP system encompassing electrical and absorption chiller could result in an 18% decrease in operating cost when compared to a CHP system encompassing electrical chiller only. Without electricity buyback, the profitability of CCHP was 23%, while with electricity buyback, profitability became 39%. Furthermore, a sensitivity analysis was conducted to show how the important parameters affect the entire system performance.     

Integration of a molten carbonate fuel cell with a direct exhaust absorption chiller

A high market value exists for an integrated high-temperature fuel cell-absorption chiller product throughout the world. While high-temperature, molten carbonate fuel cells are being commercially deployed with combined heat and power (CHP) and absorption chillers are being commercially deployed with heat engines, the energy efficiency and environmental attributes of an integrated high-temperature fuel cell-absorption chiller product are singularly attractive for the emerging distributed generation (DG) combined cooling, heating, and power (CCHP) market. This study addresses the potential of cooling production by recovering and porting the thermal energy from the exhaust gas of a high-temperature fuel cell (HTFC) to a thermally activated absorption chiller. To assess the practical opportunity of serving an early DG-CCHP market, a commercially available direct fired double-effect absorption chiller is selected that closely matches the exhaust flow and temperature of a commercially available HTFC. Both components are individually modeled, and the models are then coupled to evaluate the potential of a DG-CCHP system. Simulation results show that a commercial molten carbonate fuel cell generating 300 kW of electricity can be effectively coupled with a commercial 40 refrigeration ton (RT) absorption chiller. While the match between the two “off the shelf” units is close and the simulation results are encouraging, the match is not ideal. In particular, the fuel cell exhaust gas temperature is higher than the inlet temperature specified for the chiller and the exhaust flow rate is not sufficient to achieve the potential heat recovery within the chiller heat exchanger. To address these challenges, the study evaluates two strategies: (1) blending the fuel cell exhaust gas with ambient air, and (2) mixing the fuel cell exhaust gases with a fraction of the chiller exhaust gas. Both cases are shown to be viable and result in a temperature drop and flow rate increase of the gases before the chiller inlet. The results show that no risk of cold end corrosion within the chiller heat exchanger exists. In addition, crystallization is not an issue during system operation. Accounting for the electricity and the cooling produced and disregarding the remaining thermal energy, the second strategy is preferred and yields an overall estimated efficiency of 71.7%.     

Synergistic planning of an integrated energy system containing hydrogen storage with the coupled use of electric-thermal energy

Regional integrated energy systems (RIES) can economically and efficiently use regional renewable energy resources, of which energy storage is an important means to solve the uncertainty of renewable energy output, but traditional electrochemical energy storage is only single electrical energy storage, and the energy efficiency level is low. Hydrogen energy storage has the advantages of large energy storage capacity, long storage time, clean and pollution-free, and can realize the synergistic and efficient utilization of electricity and thermal power. Based on this, this paper proposes a synergistic planning method for an integrated energy system with hydrogen storage taking into account the coupled use of electric-thermal energy, which effectively reduces the system carbon emission and improves the comprehensive energy efficiency level. Firstly, this paper constructs an electric-thermal coupling model of the hydrogen energy storage unit and proposes an optimization strategy for the integrated energy system containing hydrogen storage taking into account the utilization of electricity and thermal power. Secondly, a planning optimization model with the lowest economy and carbon emission and the highest comprehensive energy efficiency was constructed. Third, the CSPO-GE optimization algorithm is proposed for solving the problem, which significantly improves the solution efficiency. Finally, a planning optimization simulation of RIES for a residential community W in northern China verifies the effectiveness of the model and method proposed in this paper. The comparative analysis of the three schemes shows that compared with the integrated energy system with conventional electrochemical energy storage and heat storage tank as the main form of energy storage and the integrated energy system with only hydrogen storage, the integrated energy system with hydrogen storage and heat storage tank can reduce carbon emissions by 43.8% and 7.61%, respectively, and improve the integrated energy efficiency level by 337.14% and 14.44%.     

Multi-objective optimization of large-scale grid-connected photovoltaic-hydrogen-natural gas integrated energy power station based on carbon emission priority

Establishing integrated energy systems is conducive for improving renewable energy utilization and promoting decarbonization. In this study, a grid-connected photovoltaic-hydrogen-natural gas integrated energy system is established to explore the effects of the configuration of the integrated energy system on its environment and economy. A multi-objective hierarchical optimization allocation model is developed, and an optimization strategy with carbon emission superior to total cost is established for the first time. Additionally, the economy, environment, and energy efficiency of the system are analyzed. A comparative study is performed using a strategy considering that the total cost is superior to carbon emission. A case study reveals that the levelized cost of electricity increases by 62.24%, levelized carbon emission of power decreases by 74.19%, and energy efficiency increases by 8.51%, as compared with those of the comparison strategy. Thus, the carbon emission of the system is reduced considerably, and the energy efficiency is improved. Although the cost of the system optimized by the proposed strategy is higher, it is economically feasible. Further analyses indicate that extending the grid-connected period would be infeasible, as it might increase the total cost and carbon emission of the system. Moreover, sensitivity analyses show that increasing the natural gas price or carbon tax base price will not reduce the carbon emission of the system.     

面向碳中和的多源异质全可再生能源系统优化规划方法研究

为有效应对气候变化与能源危机,早日实现碳达峰与碳中和目标,提出多源异质全可再生能源热电气储耦合系统,在供能侧实现100%全可再生能源。首先,构建了全可再生能源系统的物理架构,并对系统内典型设备进行建模;然后,以系统年总经济成本最小为目标函数,构建了可实现系统结构、设备配置与运行策略协同优化的混合整数线性规划模型;最后,通过具体算例分析,验证了所提优化模型的正确性和可行性,确立了所提出的多源异质全可再生能源热电气储耦合系统在降低碳排放、实现全额消纳可再生能源等方面的有效性。     

Heat pipe based cold energy storage systems for datacenter energy conservation

In the present paper, design and economics of the novel type of thermal control system for datacenter using heat pipe based cold energy storage has been proposed and discussed. Two types of cold energy storage system namely: ice storage system and cold water storage system are explained and sized for datacenter with heat output capacity of 8800 kW. Basically, the cold energy storage will help to reduce the chiller running time that will save electricity related cost and decrease greenhouse gas emissions resulting from the electricity generation from non-renewable sources. The proposed cold energy storage system can be retrofit or connected in the existing datacenter facilities without major design changes. Out of the two proposed systems, ice based cold energy storage system is mainly recommended for datacenters which are located in very cold locations and therefore can offer long term seasonal storage of cold energy within reasonable cost. One of the potential application domains for ice based cold energy storage system using heat pipes is the emergency backup system for datacenter. Water based cold energy storage system provides more compact size with short term storage (hours to days) and is potential for datacenters located in areas with yearly average temperature below the permissible cooling water temperature (∼25 °C). The aforesaid cold energy storage systems were sized on the basis of metrological conditions in Poughkeepsie, New York. As an outcome of the thermal and cost analysis, water based cold energy storage system with cooling capability to handle 60% of datacenter yearly heat load will provide an optimum system size with minimum payback period of 3.5 years. Water based cold energy storage system using heat pipes can be essentially used as precooler for chiller. Preliminary results obtained from the experimental system to test the capability of heat pipe based cold energy storage system have provided satisfactory outcomes and validated the proposed system concept.     

Design for renewable energy systems with application to rural areas in Japan

This study uses optimization modeling to study efficient ways to integrate renewable energy systems to provide electricity and heat in rural Japan. The model provides minimum cost system configuration and operation taking into account hour-by-hour energy availability and demand. Grid electricity is available to rural areas of Japan, but it is relatively expensive. Local renewable energy generation can be economic while using grid electricity to compensate for the intermittency of the renewable generation. In the model, renewable electricity can be provided by a combination of wind, photovoltaic, and biomass. Heat can be provided by petroleum, LPG, and geothermal heat pumps (GHPs). We find that due to the relatively high cost of grid electricity, there is significant penetration of wind generation. In turn, the penetration of wind creates economic conditions that encourage GHP penetration. The integrated renewable system reduces the annual cost of the entire system by 31%, and reduces the carbon emissions by 50%.     

基于动态运行策略的太阳能分布式供能系统设计运行联合优化

提出将光伏剩余电量按照可变比例分配给储能电池及市政电网的动态运行策略,建立基于该策略的并网太阳能分布式供能系统设计运行联合优化模型,在不同分时电价下基于遗传算法对模型寻优,并将动态运行策略与对照运行策略（剩余电量优先并网或优先分配储能电池）下的系统运行结果进行比较分析。以陕西某乡村典型民居建筑为例进行分析,结果表明：1）分时电价的峰谷价差较大时,动态运行策略可有效降低太阳能分布式供能系统成本;2）分时电价的峰谷价差对于动态运行策略下储能电池的容量配置具有较大影响：峰谷价差越大,储能电池的配置容量越大;3）光伏度电补贴对3种运行策略下的系统成本影响程度为：动态运行策略>策略B（剩余电量优先分配储能电池）>策略A（剩余电量优先并网）。     

基于改进NSGA-II算法的公共建筑江水源热泵系统集成多目标优化研究

以集成江水源热泵供能系统的公共建筑为对象,建立建筑供能成本最低、非舒适性时间最短、热泵用电峰谷比最小的多目标函数,基于动态能耗瞬时模拟技术和改进非支配排序遗传算法联合求解帕累托前沿,引入熵权优劣解距离法评价最优决策解;以夏热冬冷地区办公建筑为例,验证优化方法的可行性和最优设计方案。结果显示：最优方案与基准方案相比,建筑供能成本增加2.6%,非舒适性时间减少3.7%,热泵用电峰谷比降低90.6%;运行成本虽然稍有增加,但舒适性得到了提升,且用电峰谷波动性得到较大改善。